TRANSCRIPT 🔗
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Welcome to the Huberman Lab podcast, where we discuss science
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and science based tools for everyday life. I'm Andrew Huberman,
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and I'm a professor of neurobiology and Ophthalmology at Stanford
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School of Medicine. My guests today are Mark Zuckerberg and
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doctor Priscilla Chan. Mark Zuckerberg, as everybody knows, founded the
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company Facebook. He is now the CEO of Meta, which
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includes Facebook, Instagram, WhatsApp, and other technology platforms. Doctor Priscilla
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Chan graduated from Harvard and went on to do her
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medical degree at the University of California, San Francisco. Mark
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Zuckerberg and doctor Priscilla Chan are married and the co
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founders of the CZI or Chan Zuckerberg Initiative, a philanthropic
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organization whose stated goal is to cure all human diseases.
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The Chan Zuckerberg Initiative is accomplishing that by providing critical
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funding not available elsewhere, as well as a novel framework
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for discovery of the basic functioning of cells catalytogging all
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the different human cell types, as well as providing AI
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or artificial intelligence platforms to mine all of that data
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to discover new pathways and cures for all human diseases.
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The first hour of today's discussion is held with both
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doctor Priscilla Chan and Mark Zuckerberg, during which we discuss
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the CZI and what it really means to try and
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cure all human diseases. We talk about the motivational backbone
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for the CZI that extends well into each of their
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personal histories. Indeed, you'll learn quite a lot about doctor
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Priscilla Chan, who has i must say, an absolutely incredible
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family story leading up to her role as a physician
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and her motivations for the CZI and beyond. And you'll
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learn from Mark how he's bringing and engineering an AI
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perspective to discovery of new cures for human disease. The
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second half of today's discussion is just between Mark Zuckerberg
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and me, during which we discuss various meta platforms, including
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of course, social media platforms
Load full transcript
and their effects on mental
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health in children and adults. We also discuss VR, virtual reality,
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as well as augmented and mixed reality, and we discuss
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AI artificial intelligence and how it stands to transform not
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just our online experiences with social media and other technologies,
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but how it stands to potentially transform every aspect of
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everyday life. Before we begin, I'd like to emphasize that
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this podcast is separate from my teaching and research roles
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at Stanford. It is, however, part of my desire and
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effort to bring zero cost to consumer information about science
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and science related tools to the general public. In keeping
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with that theme, i'd like to thank the sponsors of
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today's podcast and now for my discussion with Mark Zuckerberg
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and doctor Priscilla Chan Priscilla, Mark, so great to meet you,
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and thank you for having me here in your home.
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Oh, thanks for having us on the podcast.
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Yeah, I'd like to talk about the CZI, the chan
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Zuckerberg Initiative. I learned about this a few years ago
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when my lab was and still is now at Stanford
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as a very exciting philanthropic effort that has a truly
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big mission. I can't imagine a bigger mission. So maybe
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could tell us what that big mission is and then
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we can get into some of the mechanics of how
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that big mission can become a reality.
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So, like you're mentioning, in twenty fifteen, we launched the
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chan Zackerberg Initiative and what we were hoping to do
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at CCI think about how do we build a better
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future for everyone and looking for ways where we can
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contribute the resources that we have to bring philanthropically, and
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the experiences that Mark and I have had for me
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as a physician and educator, for Mark as an engineer,
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and then our ability to bring teams together to builders.
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You know, Mark has been a builder throughout his career,
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and what could we do if we actually put together
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a team to build tools do great science. And so
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within our science portfolio, we've really been focused on what
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some people think is either an incredibly audacious goal or
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a inevitable goal, but I think about it as something
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that will happen if we sort of continue focusing on it,
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which is to be able to cure, prevent, or manage
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all disease.
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By the end of the century, all disease.
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All disease.
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So that's important, right, And a lot of times people ask,
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like which disease, And the whole point is that there
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is not one disease, And it's really about taking a
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step back to where I always found the most hope
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as a physician, which is new discoveries and new opportunities
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and new ways of understanding how to keep people well
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come from basic science. So our strategy at CZI is
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really to build tools, fund science, change the way basic
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scientists can see the world and how they can move
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quickly in their discoveries. And so that's what we launched
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in twenty fifteen.
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We do work in three ways.
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We fund great scientists, We build tools right now, software
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tools to help move science along and make it easier
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for scientists to do their work.
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And we do science.
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You mentioned Stanford being an important pillar for our science work.
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We've built what we call biohubs, institutes where teams can
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take on grand challenges to do work that wouldn't be
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possible in a single lab or within a single discipline.
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And our first biohub was launched in San Francisco, collaboration
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between Stanford, you see, Berkeley, and UCSF Amazing.
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Curing all diseases implies that there will either be a
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ton of knowledge gleaned from this effort, which I'm certain
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there will be, and there already has been. We can
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talk about some of those early successes in a moment.
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But it also sort of implies that if we can
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understand some basic operations of diseases and
cells, that trends
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and autism, Huntington's Parkinson's cancer and any other disease, that
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perhaps there are some core principles that would make the
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Big mission a real reality, so to speak. What I'm
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basically saying is, how are you attacking this? My belief
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is that the cell sits at the center of all
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discussion about disease, given that our body is made up
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of cells and different types of cells. So maybe you
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could just illuminate for us a little bit of what
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the cell is in your mind as it relates to
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disease and how one goes about understanding disease and the
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context of cells, because ultimately that's what we're made up of.
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Yeah, well, let's get to the cell thing in a moment.
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But just even taking a step back from that, you know,
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we don't think that it's czi that we're going to cure, prevent,
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or manage all diseases. The goal is to basically give
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the scientific community and scientists around the world the tools
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to accelerate the pace of science. And we spent a
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lot of time when we were getting started with this
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looking at the history of science and trying to understand
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the trends and how they've played out over time. And
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if you look over this very long term arc. Most
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large scale discoveries are preceded by the invention of a
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new tool or a new way to see something. And
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it's not just in biology, right, It's like having a telescope.
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You came before a lot of discoveries in astronomy and astrophysics,
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but similarly, you know, the microscope and just different ways
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to observe things or different platforms, like the ability to
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do vaccines proceeded the ability to kind of cure a
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lot of different things. So this is sort of the
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engineering part that you were talking about about building tools.
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We view our goal is to try to bring together
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some scientific and engineering knowledge to build tools that empower
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the whole field. And that's sort of the big arc
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and a lot of the things that we're focused on,
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including the work in single cell and cell understanding.
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Which.
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You know, you can jump in and get into that
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if you want, but yeah, I think I think we
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generally agree with the premise that if you want to
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understand this stuff from first principles. People study organs a lot, right,
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They like the study kind of how things present across
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the body, but there's not a very widespread understanding of
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how kind of each cell operates and this is sort
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of a big part of you know, some of the
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initial work that we tried to do on the human
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cell out lists and understanding what are the different cells,
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and there's there's a bunch more work that we want
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to do to carry that forward. But overall, I think
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when we think about the next ten years here of
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this long arc to to try to empower the community
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to to be able to cure, prevent, or manage all diseases,
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that we think that the next ten years should really
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be primarily about being able to measure and observe more
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things in human biology. There are a lot of limits today.
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It's like you want to look at something through a microscope,
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you can't usually see living tissues because it's hard to
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you know, see through skin or things like that. So
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there are a lot of different techniques that will help
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us observe different things. And this is sort of where
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the engineering background comes in a bit, because I mean,
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it's when I think about this is from the perspective
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of like how you'd write code or something. You know,
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the idea of like trying to debug or fix a
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code base, but not be able to like step through
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the code line by line. It's like not going to happen, right,
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And at the beginning of any big project that we
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do at META, you know, we like to spend a
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bunch of the time upfront just trying to instrument things
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and understand you know, what are we going to look
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at and how we're going to measure things before so
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we know we're making progress and know what to optimize.
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And this is such a long term journey that we
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think that it actually makes sense to take the next
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ten years to build those kind of tools for biology
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and understanding just how the human body works in action.
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And a big part of that is sells. I don't know,
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you want to jump and talk talk about some of
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the efforts.
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Could I just interrupt briefly and just ask about the
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different the different interventions speak that CZI is in a
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unique position to bring to the quest to cure all diseases.
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So I can think of I mean, I know as
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a scientist that money is necessary but not sufficient, right,
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Like when you have money, you can hire more people,
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you can try different things, so that that's critical, But
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a lot of philanthropy includes money. The other component is,
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you know, you want to be able to see things.
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As you pointed, out, So you want to know that
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normal disease process, what is a healthy sell, what's a
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diseased cell? Our cells constantly being bombarded with with challenges
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and then repairing those and then what we call cancer
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is just kind of runaway train of those challenges not
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being met by the cell itself or something like that.
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So better imaging tools, and then it sounds like there's
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not just a hardware component but a software component. This
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is where AI comes in. So maybe we can at
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some point we can break this up into three different avenues.
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One is understanding disease processes and healthy processes, will lump
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those together. Then there's hard to wear, so microscopes, lenses,
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digital deconvolution, ways of seeing things in boulder relief and
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more more more precision. And then there's how to manage
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all the data. And then I love the idea that
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maybe AI could do what human brains can't do alone
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they manage understanding of the data. Because it's one thing
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to organize data, it's another to say, oh, you know,
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you know this as you point out on the analogy
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with code that this particular gene and that particular gene
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are potentially interesting. Whereas a human being would never make
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that potential connection.
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So you know the tools that cs I can bring
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to the table. We we fund science like you're talking about,
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and we try to, uh, there's lots of ways to
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fund science. And just to be clear, you know, what
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we fund is a tiny fraction of what the NIH funds,
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for instance, So.
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You guys have been generous enough that it's it definitely
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holds weight to anhh's contribution.
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Yeah, but I think every funder has its own role
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in the ecosystem, and for us, it's really how do
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we incentivize new points of view, how do we incentivize collaboration,
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how do we incentivize open science? And so a lot
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of our grants include inviting people to look in look
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at different fields. Our first neuroscience RFA was aim towards
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incentivizing people from different backgrounds, immunologists, microbiologists to come and
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look at how our nervous system works and how to
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keep it healthy. Or we ask that our grantees participate
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in the preprint movement to accelerate the rate of sharing
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knowledge and actually others being able to build upon science.
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So that's the funding that we do. In terms of
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building we build software and hardware.
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Like you mentioned, we put.
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Together teams that can build tools that are more durable
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and scalable than someone in a sing lab might be
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incentivized to do. There's a ton of great ideas and
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nowadays most scientists can tinker and build something useful for
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their lab, but it's really hard for them to be
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able to share that tool, sometimes be on their own
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laptop or forget, you know, the next lab over or
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across the globe. So we partner with scientists to see,
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like what is useful what kinds of tools you know?
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In imaging napari, like it's there's it's a useful image
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annotation tool that is born from an open source community,
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and how can we contribute to that, or a cell
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by gene which works on single cell data sets, and
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how can we make it build a useful tool so
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that scientists can share data sets, analyze their own, and
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contribute to a larger corpus of information. So we have
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software teams that are building collaborating with scientists to make
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sure that we're building easy to use, durable, translated tools
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across the scientific community and the areas that we work in.
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We also have institutes.
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This is where the imaging work comes in where you know,
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we are proud owners of an electron microscope right now
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and it's going to be installed at our imaging institute
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and that will really contribute to a way where we
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can see work differently, but we can the more hardware
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need does need to be developed. You know, we're partnering
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with a fantastic scientist in the Biohub network to build
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a mini phase plate to increase to align the electrons
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through these through the electron microscope to be able to
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increase the resolution so we can see in sharper detail.
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So there's a lot of innovative work within the network
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that's happening, and these institutes have grand challenges that they're
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working on. Back to your question about cells, Cells are
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just the smallest unit that are alive and are your body.
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All of our bodies have many, many, many cells. There's
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you know, some estimate of like thirty seven trillion cells
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different cells in your body, and what are they all
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doing and what do they look like when they're healthy,
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when you're healthy, what do they look like when you're sick.
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And where
we're at right now with you know, our
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understanding of cells and what happens when you get sick
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is basically we have we've gotten pretty good at from
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the Human Genome Project, looking at how different mutations in
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your genetic code lead for you to be more susceptible
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to get sick or directly.
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Cause you to get sick.
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So we go from a mutation in your DNA to wow,
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you now have Huntington's disease, for instance. And there's a
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lot that happens in the middle. And that's one of
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the questions that we're going after at a CZI is
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what actually happens. So an analogy that I used I
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like to use to share with my friends is right now,
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say we have a recipe for our cake. We know
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there's a typo in the recipe, and then the cake
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is awful.
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That's all we know.
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We don't know how the chef interprets the typo, we
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don't know what happens in the oven, and we don't
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actually have know sort of how it's exactly connected to
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how the cake didn't.
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Turn out how you had expected.
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A lot of that is unknown, but we can actually
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systematically try to break this down. And one segment of
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that journey that we're looking at is how that mutation
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gets translated and acted upon in your cells, and all
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of your cells have what's called mRNA. mRNA are the
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actual instructions that are taken from the DNA. And what
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our work in single cell is looking at how how
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every cell in your body is actually interpreting your DNA
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slightly differently, and what happens when healthy cells are interpreting
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the DNA instructions and when six cells are interpreting those directions.
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And that is a ton of data. I just told
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you there's thirty seven trillion cells. There's different large sets
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of mr and A in each cell. But the work
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that we've been funding is looking at how, first of all,
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gathering that information.
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We've been.
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Incredibly lucky to be part of a very fast moving
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field where we've gone from in twenty seventeen funding some
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methods work to now having really not complete but nearly
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complete atlases of how the human body works, how flies work,
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how mice work at the single cell level, and being
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able to then try to piece together like how does
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that all come together? And when you're healthy and when
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you're sick.
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And the neat thing.
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About the sort of inflection point where we're at an
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AI is that I can't look at this data and
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make sense of it. There's just too much of it.
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And biology is complex. Human bodies are complex. We need
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this much information, but the use of large language models
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can help us actually look at that data and gain insights,
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look at what trends are consistent with health and what
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trends are unsuspected, And eventually, our hope through the use
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of these data sets that we've helped curate in the
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application of large language models is to be able to
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formulate a virtual cell, a cell that's completely built off
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of the data sets of what we know about the
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human body, but allows us to manipulate and learn faster
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and try new things to help move science and then
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medicine along.
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Do you think we've cataloged the total number of different
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cell types? You know, every week I look at great
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journals like Cell Nature and Science, and for instance, I
338
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saw recently that using single cell sequencing, they've categorized eighteen
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plus different types of fat cells. We always think of
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like a fat cell versus a muscle cell. So now
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you've got eighteen types. Each one is going to express
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many many different genes and RNAs m RNAs, and perhaps
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the one of them is responsible for you know, what
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we see in the you know, advanced type two diabetes
345
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or in other forms of
obesity, or where people can't
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lay down fat cells, which turns out to be just
347
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as detrimental in those extreme cases. So now you've got
348
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all these lists of genes. But I always thought of
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single cell sequencing as necessary but not sufficient. You need
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the information, but it doesn't resolve the problem. And I
351
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think of it more of a as a hypothesis generating experiment. Okay,
352
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of all these genes, and you could say, wow, this
353
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gene is particularly elevated in the diabetics cell type of
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let's say one of these fat cells or muscle cells
355
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for that matter, whereas it's not in non diabetics. So
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then of the millions of different cells, maybe only five
357
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of them differ dramatically. So then you generate a hypothesis. Oh,
358
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it's the ones that differ dramatically that are important. But
359
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maybe one of those genes when it's only you know,
360
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fifty percent changed, has a huge effect because of some
361
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network biology effect. And so I guess what I'm trying
362
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to get to here is, you know, how does one
363
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meet that challenge and can AI help resolve that challenge
364
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by essentially placing those lists of genes into a you know,
365
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ten thousand hypotheses, because I'll tell you that the graduate
366
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students and postdocs in my lab get a chance to
367
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test one hypothesis at the time, and that's really the challenge,
368
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let alone one lab. And so for those that are
369
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listening to this, and you know, hopefully it's not getting
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outside the scope of kind of like standard understanding or
371
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the understand we've generated here. But what basically saying is
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you have to pick at some point more data always
373
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sounds great, but then how do you decide what to test?
374
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So, no, we don't know all the cell types.
375
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I think one of the one thing that was really
376
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exciting when we first launched this work was, you know,
377
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cystic fibrosis, Like cystic fibrosis is caused by mutation and CFTR.
378
00:21:21.920 --> 00:21:24.759
That's pretty well known. It affects a certain channel that
379
00:21:24.920 --> 00:21:27.400
makes it hard for mucus to be cleared. That's the
380
00:21:27.400 --> 00:21:30.359
basics of cystic fibrosis. When I went to medical school,
381
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it was taughtis fact.
382
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So their lungs fill up with fluid. These are people
383
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carrying around sacks of fluid filling up I've known people,
384
00:21:37.079 --> 00:21:39.000
I've worked with people then they have to literally dump
385
00:21:39.039 --> 00:21:40.880
the fluid out exactly. They can't run or do it
386
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intense exercise. Life is shorter.
387
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Life is shorter.
388
00:21:44.160 --> 00:21:47.880
And when we applied single cell methodologies to the lungs,
389
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they discovered an entirely new cell type that actually is
390
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affected by a mutation and the CF mutations and cystic
391
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fibrosis mutation that actually changes the paradise of how we
392
00:22:00.519 --> 00:22:04.039
think about cystic fibrosis. Just no, So I don't think
393
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we know all the cell types. I think we'll continue
394
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to discover them and will continue to discover new relationships
395
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between cell and disease, Which leads me to the second
396
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example I want to bring up is this large data
397
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set that the entire scientific community is built around. Single
398
00:22:20.920 --> 00:22:25.039
cell is starting to allow us to say, this mutation,
399
00:22:25.720 --> 00:22:28.000
where is it expressed, what types of cell types it's
400
00:22:28.039 --> 00:22:31.839
expressed in. And we actually have built a tool at
401
00:22:31.880 --> 00:22:35.640
CCI called cell by Gene where you can put in
402
00:22:36.039 --> 00:22:38.480
the mutation that you're interested in, and it gives you
403
00:22:38.559 --> 00:22:41.839
a heat map of cross cell types of which cell
404
00:22:41.880 --> 00:22:46.640
types are expressing the gene that you're interested in, and
405
00:22:46.680 --> 00:22:49.200
so then you can start looking at Okay, if I
406
00:22:49.559 --> 00:22:54.359
look at gene X and I know it's related to
407
00:22:54.599 --> 00:22:57.039
heart disease, but if you look at the heat map,
408
00:22:57.079 --> 00:23:00.240
it's also spiking in the pancreas. That allows you to
409
00:23:00.279 --> 00:23:04.160
generate a hypothesis why and what happens when this gene
410
00:23:04.200 --> 00:23:08.240
is mutated and then the function of your pancreas. Really
411
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exciting way to look and ask questions differently. And you
412
00:23:12.720 --> 00:23:16.279
can also imagine a world where if you're trying to
413
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develop a therapy, a drug, and the goal is to
414
00:23:20.680 --> 00:23:23.480
treat the function the heart, but you know that it's
415
00:23:23.519 --> 00:23:27.160
also really active in the pancreas. Again, so what is
416
00:23:27.200 --> 00:23:29.799
there going to be an unexpected side effect that you
417
00:23:29.839 --> 00:23:34.160
should think about as you're bringing this drug to clinical trials.
418
00:23:34.440 --> 00:23:38.200
So it's an incredibly exciting tool and one that's only
419
00:23:38.240 --> 00:23:40.559
going to get better as we get more and more
420
00:23:40.599 --> 00:23:42.480
sophisticated ways to analyze the data.
421
00:23:43.079 --> 00:23:44.839
I must say I love that because if I look
422
00:23:44.839 --> 00:23:47.519
at the advances in neuroscience over the last fifteen years,
423
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most of them did necessarily come from looking at the
424
00:23:51.480 --> 00:23:55.160
nervous system. Came from the understanding that the immune system
425
00:23:55.160 --> 00:23:57.640
impacts the brain. Everyone prior to that talked about the
426
00:23:57.640 --> 00:24:00.319
brain is immune privileged organ What you just said also
427
00:24:00.359 --> 00:24:05.759
bridges and the divide between single cells, organs and systems, right,
428
00:24:05.759 --> 00:24:08.920
because ultimately cells makeup organs, organs to make up systems,
429
00:24:08.920 --> 00:24:10.880
and they're all talking to one another. And everyone nowadays
430
00:24:10.920 --> 00:24:13.640
is familiar with like gut, brain axis or the microbiome
431
00:24:13.680 --> 00:24:18.440
being so important, but rarely is the the discussion between
432
00:24:18.559 --> 00:24:23.960
organs discussed, so to speak. So I think it's wonderful
433
00:24:24.039 --> 00:24:26.920
so that that tool was generated by cz I or
434
00:24:26.960 --> 00:24:28.720
c c I funded that tool. So how does this
435
00:24:28.839 --> 00:24:30.799
built that we built that you built it? So is
436
00:24:30.799 --> 00:24:32.640
it built by meta? Is as meta?
437
00:24:33.200 --> 00:24:34.680
This is has its own engineers?
438
00:24:34.799 --> 00:24:35.119
Got it?
439
00:24:35.319 --> 00:24:38.240
Yeah? They are completely different organizations.
440
00:24:38.240 --> 00:24:42.200
Incredible, And so a graduate student post doc who's interested
441
00:24:42.240 --> 00:24:45.079
in particular mutation could put this mutation into this database.
442
00:24:45.640 --> 00:24:48.519
That gradual studenter post doc might be in a laboratory
443
00:24:48.599 --> 00:24:51.440
known for working on heart but suddenly find that they're
444
00:24:51.440 --> 00:24:55.160
collaborating with other scientists that work on the pancreas, which
445
00:24:55.440 --> 00:24:58.799
also is wonderful because it bridges the divide between these fields.
446
00:24:58.839 --> 00:25:01.680
Fields are so siloed and science not just different buildings,
447
00:25:01.720 --> 00:25:04.559
but they people rarely talk unless things like this or happening.
448
00:25:04.559 --> 00:25:06.720
I mean, the graduate student is someone that we want
449
00:25:06.759 --> 00:25:08.759
to empower because one they're in the future of science,
450
00:25:08.799 --> 00:25:12.000
as you know. And within cell by gene, if you
451
00:25:12.079 --> 00:25:14.000
put in the gene you're interested in and it shows
452
00:25:14.000 --> 00:25:16.640
you the heat map, we also will pull up like
453
00:25:16.720 --> 00:25:19.559
the most relevant papers to that gene and so like
454
00:25:19.880 --> 00:25:21.880
read these things fantastic.
455
00:25:22.839 --> 00:25:24.680
I just think going back to your question from before,
456
00:25:24.920 --> 00:25:26.720
I mean, are there going to be more cell types
457
00:25:26.720 --> 00:25:29.079
that get discovered? I mean I assume so, right, I mean,
458
00:25:29.079 --> 00:25:31.240
no catalog of the stuff has ever. You know, it
459
00:25:31.240 --> 00:25:33.240
doesn't seem like we're ever done, right, We keep on
460
00:25:33.319 --> 00:25:38.119
finding more. But I think that that gets to one
461
00:25:38.160 --> 00:25:39.920
of the things that I think are the strengths of
462
00:25:41.000 --> 00:25:44.880
modern llms is the ability to kind of imagine different
463
00:25:44.920 --> 00:25:48.000
states that things can be in. So from all the
464
00:25:48.039 --> 00:25:51.200
work that we've done and funded on the human cell
465
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at list, there is a large corpus of data that
466
00:25:53.720 --> 00:25:57.960
you can now train a kind of large scale model on.
467
00:25:58.519 --> 00:26:01.720
And one of the things that we're doing it's c
468
00:26:01.799 --> 00:26:03.640
c I, which I think is pretty exciting, is building
469
00:26:04.759 --> 00:26:07.960
what we think is one of the largest nonprofit life
470
00:26:07.960 --> 00:26:12.079
sciences AI clusters. Right, It's like a on the order
471
00:26:12.119 --> 00:26:15.559
of a thousand GPUs and you know, it's larger than
472
00:26:15.559 --> 00:26:18.039
what most people have access to in academia that you
473
00:26:18.039 --> 00:26:23.319
can do like serious engineering work on and and you know,
474
00:26:23.359 --> 00:26:25.920
by basically training a model with all of the human
475
00:26:25.960 --> 00:26:30.559
sell outless data and a bunch of other inputs as well,
476
00:26:30.440 --> 00:26:34.160
we think you'll be able to basically imagine all of
477
00:26:34.200 --> 00:26:36.519
the different types of cells and all the different states
478
00:26:36.519 --> 00:26:39.440
that they can be in and when they're healthy and diseased,
479
00:26:39.480 --> 00:26:44.119
and how they'll interact with you know, different you know,
480
00:26:44.480 --> 00:26:47.720
interact with each other, interact with different potential drugs. But
481
00:26:48.000 --> 00:26:49.440
I mean, I think the state of l l MS.
482
00:26:49.440 --> 00:26:51.599
I think this is where it's it's helpful to understand,
483
00:26:51.759 -->
00:26:53.640
you know, have a good understanding and be grounded in
484
00:26:53.839 --> 00:26:55.720
like the modern state of AI. I mean, these things
485
00:26:55.720 --> 00:26:58.359
are not fool proof, right, I mean one of the
486
00:26:58.400 --> 00:27:01.799
flaws of modern LLMS is the hallucinate right. So the
487
00:27:01.880 --> 00:27:03.920
question is how do you make it so that that
488
00:27:03.960 --> 00:27:07.440
can be an advantage rather than a disadvantage. And I
489
00:27:07.480 --> 00:27:09.200
think the way that it ends up being an advantage
490
00:27:09.240 --> 00:27:11.759
is when they help you imagine a bunch of states
491
00:27:11.799 --> 00:27:13.720
that someone can be in. But then you you know,
492
00:27:13.759 --> 00:27:16.079
as the scientist or engineer go and validate that those
493
00:27:16.079 --> 00:27:18.519
are true, whether there are solutions to how a protein
494
00:27:18.599 --> 00:27:21.279
can be folded, or possible states that a cell could
495
00:27:21.319 --> 00:27:24.200
be in when it's interacting with other things. But you know,
496
00:27:24.200 --> 00:27:26.480
we're not yet at the state with AI that you
497
00:27:26.480 --> 00:27:30.240
can just take the outputs of these things as like
498
00:27:30.319 --> 00:27:33.200
as gospel and run from there. But they are very
499
00:27:33.240 --> 00:27:37.480
good I think, as you said, hypothesis generators or possible
500
00:27:37.480 --> 00:27:40.599
solution generators that then you can go validate. So I
501
00:27:40.640 --> 00:27:44.400
think that that's a very powerful thing that we can basically,
502
00:27:44.599 --> 00:27:46.799
you know, building on the first five years of science
503
00:27:46.839 --> 00:27:48.680
work around the human cell outlets and all the data
504
00:27:48.720 --> 00:27:51.079
that's been built out, carry that forward into something that
505
00:27:51.079 --> 00:27:53.319
I think is going to be a very novel tool
506
00:27:53.440 --> 00:27:56.640
going forward. And that's the type of thing that I
507
00:27:56.680 --> 00:27:59.359
think we're set up to do well. I mean, you all,
508
00:27:59.640 --> 00:28:04.000
you have this exchange a little while back about you know,
509
00:28:04.039 --> 00:28:06.960
funding levels and how CAZI is you just sort of
510
00:28:07.000 --> 00:28:09.519
a drop in the in the in the bucket compared
511
00:28:09.559 --> 00:28:12.839
to NIH. But I think we have this. The thing
512
00:28:12.839 --> 00:28:16.640
that I think we can do that's different is funding
513
00:28:16.680 --> 00:28:20.240
some of these longer term, bigger projects that it is
514
00:28:20.319 --> 00:28:23.160
hard to galvanize the and pull together the energy to
515
00:28:23.200 --> 00:28:26.720
do that, and it's a lot of what most science
516
00:28:26.720 --> 00:28:29.599
funding is is like relatively small projects that are exploring
517
00:28:29.640 --> 00:28:32.880
things over relatively short time horizons. And one of the
518
00:28:32.880 --> 00:28:35.079
things that we try to do is like build these
519
00:28:35.119 --> 00:28:38.920
tools over five, ten, fifteen year periods. There are often
520
00:28:38.960 --> 00:28:41.839
projects that require hundreds of millions of dollars of funding
521
00:28:41.920 --> 00:28:45.240
and world class engineering teams and infrastructure to do and
522
00:28:45.720 --> 00:28:48.599
that I think is a pretty cool contribution to the field.
523
00:28:48.720 --> 00:28:52.440
That that I think is there aren't as many other
524
00:28:52.480 --> 00:28:54.640
folks who are doing that kind of thing, But that's
525
00:28:54.640 --> 00:28:56.799
one of the reasons why I'm personally excited about the
526
00:28:56.839 --> 00:28:59.640
virtual cell stuff, because it just it's like this perfect
527
00:28:59.720 --> 00:29:01.440
interest section of all the stuff that we've done in
528
00:29:01.559 --> 00:29:05.519
single cell, the previous collaborations that we've done with the field,
529
00:29:05.680 --> 00:29:10.200
and you bring together the industry and AI expertise around this.
530
00:29:10.640 --> 00:29:15.039
Yeah, I completely agree that the model of science that
531
00:29:15.079 --> 00:29:18.160
you're put together with CZI is isn't just unique from
532
00:29:18.200 --> 00:29:23.079
an age, but it's extremely important that the independent investigator
533
00:29:23.160 --> 00:29:25.319
model is what's driven the progression of science in this
534
00:29:25.400 --> 00:29:28.559
country and to some extend in Northern Europe for the
535
00:29:28.640 --> 00:29:33.160
last hundred years. And it's wonderful on the one hand
536
00:29:33.680 --> 00:29:36.920
because it allows for that image we have of a
537
00:29:36.920 --> 00:29:38.880
scientist kind of tinkering away or the people in their
538
00:29:38.960 --> 00:29:43.799
lab and then the eurekas and that hopefully translates to
539
00:29:44.240 --> 00:29:49.119
better human health. But I think, in my opinion, we've
540
00:29:49.160 --> 00:29:52.039
moved past that model as the most effective model or
541
00:29:52.079 --> 00:29:53.680
the only model that should be explored.
542
00:29:53.759 --> 00:29:55.920
Yeah, I just think it's a balance what you want.
543
00:29:56.039 --> 00:29:57.599
You want that, but you want to empower those people.
544
00:29:57.599 --> 00:30:00.119
I think that that's these tools.
545
00:29:58.640 --> 00:30:01.759
And their mechanism to do that, like NIH but but
546
00:30:01.880 --> 00:30:05.200
it's hard to do collaborative science. Is It's sort of
547
00:30:05.200 --> 00:30:07.839
interesting that we're sitting here not far for because I
548
00:30:07.839 --> 00:30:10.720
grew up right near here as well, not far from
549
00:30:10.759 --> 00:30:14.839
the garage model of tech, right the Hewlett Blackard model,
550
00:30:15.599 --> 00:30:19.000
not far from here at all. And the idea is
551
00:30:19.000 --> 00:30:21.039
that you know, the tinkerer in the garage, the
inventor,
552
00:30:21.440 --> 00:30:23.720
and then people often forget that to implement all the
553
00:30:23.720 --> 00:30:28.119
technologies they discovered took enormous factories and warehouse So you know,
554
00:30:28.160 --> 00:30:30.799
there's there's a similarity there to Facebook, Meta, et cetera.
555
00:30:31.000 --> 00:30:32.920
But I think in science, what we imagine that the
556
00:30:32.960 --> 00:30:36.039
scientists alone in their laboratory and those eureka moments. But
557
00:30:36.279 --> 00:30:40.240
I think nowadays that the big questions really require extensive
558
00:30:40.240 --> 00:30:44.119
collaboration and certainly tool development. And one of the tools
559
00:30:44.119 --> 00:30:45.720
that you keep coming back to is these l l ms,
560
00:30:45.759 --> 00:30:48.519
these large language models, And maybe you could just elaborate
561
00:30:48.559 --> 00:30:50.599
for for those that aren't familiar, you know, what are
562
00:30:50.799 --> 00:30:56.160
what is a large language model for that the the uninformed?
563
00:30:56.359 --> 00:30:59.240
What is it? And what does it allow? What does
564
00:30:59.279 --> 00:31:02.480
allow us to do you that you know different types
565
00:31:02.480 --> 00:31:06.000
of other types of AI don't allow or more importantly,
566
00:31:06.000 --> 00:31:08.039
perhaps what does it allow us to do that a
567
00:31:08.039 --> 00:31:11.359
bunch of really smart people, highly informed in a given
568
00:31:11.400 --> 00:31:13.839
area of science, staring at the data. What can I
569
00:31:13.880 --> 00:31:14.720
do that they can't do?
570
00:31:16.559 --> 00:31:19.720
Sure? So, I think a lot of the progression of
571
00:31:19.759 --> 00:31:24.680
machine learning has been about building systems neural networks or
572
00:31:24.720 --> 00:31:29.319
otherwise that can basically make sense and find patterns and
573
00:31:29.440 --> 00:31:32.279
larger and larger amounts of data. And there was a
574
00:31:32.319 --> 00:31:36.599
breakthrough a number of years back that some folks at
575
00:31:36.640 --> 00:31:41.240
Google actually made it, called this Transformer Model architecture, and
576
00:31:42.160 --> 00:31:45.200
it was this huge breakthrough because before then there was
577
00:31:45.880 --> 00:31:47.960
somewhat of a cap where you know, if you fed
578
00:31:48.039 --> 00:31:51.680
more data into a neural network past some point, it
579
00:31:51.680 --> 00:31:55.839
didn't really glean more insights from it, whereas transformers just
580
00:31:56.240 --> 00:31:57.960
we haven't seen the end of how big that can
581
00:31:58.000 --> 00:31:59.559
scale to yet. I mean, I think that there's a
582
00:31:59.599 --> 00:32:04.160
chance that we run into some ceiling, but it we
583
00:32:04.200 --> 00:32:06.039
haven't observed it yet. But we just haven't built big
584
00:32:06.119 --> 00:32:09.440
enough systems yet, So I would guess that I don't know.
585
00:32:09.480 --> 00:32:11.160
I think this is actually one of the big questions
586
00:32:11.160 --> 00:32:15.640
and in the AI field today is basically our transformers
587
00:32:15.680 --> 00:32:17.920
and are the current model architecture is sufficient? And if
588
00:32:17.920 --> 00:32:20.079
you just build larger and larger clusters, do you eventually
589
00:32:20.119 --> 00:32:24.759
get something that's like human intelligence or superintelligence? Or is
590
00:32:24.799 --> 00:32:27.960
there some kind of fundamental limit to this architecture that
591
00:32:27.960 --> 00:32:31.640
we just haven't reached yet. And once we kind of
592
00:32:31.640 --> 00:32:33.559
get a little bit further in building them out, then
593
00:32:33.559 --> 00:32:34.920
we'll reach that, And then we'll need a few more
594
00:32:35.000 --> 00:32:38.960
leaps before we get to the level of AI that
595
00:32:39.519 --> 00:32:42.880
I think will unlock a ton of really futuristic and
596
00:32:42.920 --> 00:32:45.240
amazing things. But there's no doubt that even just being
597
00:32:45.279 --> 00:32:47.680
able to process the amount of data that we can
598
00:32:47.759 --> 00:32:51.920
now with this model architecture has unlocked a lot of
599
00:32:51.920 --> 00:32:54.359
new use cases. And the reason why they're called large
600
00:32:54.400 --> 00:32:56.799
language models is because one of the first uses of
601
00:32:56.839 --> 00:33:02.440
them is people basically in all of the language from
602
00:33:03.279 --> 00:33:06.079
basically the World Wide Web, and you can think about
603
00:33:06.079 --> 00:33:09.240
them as basically prediction machine. So if you fit in,
604
00:33:10.559 --> 00:33:14.359
you put in prompt and it can basically, you know,
605
00:33:14.480 --> 00:33:17.119
predict a version of what should come next. So you know,
606
00:33:17.359 --> 00:33:20.079
you like type in a headline for a news story
607
00:33:20.079 --> 00:33:23.000
and it can kind of predict what it thinks the
608
00:33:23.039 --> 00:33:25.279
story should be. Or you could train it so that
609
00:33:25.599 --> 00:33:27.920
it can be a chat pot right where Okay, if
610
00:33:28.119 --> 00:33:31.279
you're prompted with this question, you can get this response.
611
00:33:32.119 --> 00:33:34.000
But one of the interesting things is it turns out
612
00:33:34.039 --> 00:33:37.839
that there's actually nothing specific to using human language in it.
613
00:33:38.039 --> 00:33:40.759
So if instead of feeding it human language, if you
614
00:33:40.880 --> 00:33:44.319
use that model architecture for a network and instead you
615
00:33:44.400 --> 00:33:48.680
feed it all of the human sell outless data. Then
616
00:33:48.920 --> 00:33:50.880
if you prompt it with a state of a cell,
617
00:33:51.319 --> 00:33:56.440
it can spit out different versions of like what you know,
618
00:33:56.559 --> 00:33:58.519
how that cell can interact, or different states that the
619
00:33:58.519 --> 00:34:00.920
cell could be a next when it
interacts different things.
620
00:34:00.720 --> 00:34:02.799
Does it have to take a genetics class. So, for instance,
621
00:34:02.839 --> 00:34:04.400
if you give it a bunch of genetics, noted, do
622
00:34:04.440 --> 00:34:06.079
you have to say, hey, by the way, and then
623
00:34:06.119 --> 00:34:08.119
you give it a genetic class to it understands that,
624
00:34:08.159 --> 00:34:10.960
you know, you've got DNA, RNA, m RNA and proteins.
625
00:34:11.079 --> 00:34:13.320
I think that the basic the basic nature of all
626
00:34:13.360 --> 00:34:17.960
these machine learning techniques is there. They're basically pattern recognition systems.
627
00:34:18.280 --> 00:34:23.599
So they are these like very deep statistical machines that
628
00:34:23.639 --> 00:34:27.760
are very efficient at finding patterns. So it's it's not
629
00:34:27.880 --> 00:34:31.559
actually you don't need to teach a language model that's
630
00:34:31.639 --> 00:34:35.239
trying to you know, speak a language you know a
631
00:34:35.280 --> 00:34:38.360
lot of specific things about that language. Either you just
632
00:34:38.360 --> 00:34:40.199
feed it in a bunch of examples and then you know,
633
00:34:40.280 --> 00:34:44.519
let's say you teach it about something in English, but
634
00:34:44.559 --> 00:34:46.519
then you also give it a bunch of examples of
635
00:34:46.559 --> 00:34:50.480
people speaking Italian. It'll actually be able to explain the
636
00:34:50.480 --> 00:34:52.440
thing that it learned in English and Italian. Right, even
637
00:34:52.440 --> 00:34:55.280
though it is so the crossover and just a pattern
638
00:34:55.320 --> 00:34:59.960
recognition is the thing that is pretty profound in power
639
00:35:00.280 --> 00:35:02.719
about this, but it really does apply to a lot
640
00:35:02.760 --> 00:35:07.280
of different things. Another example in the scientific community has
641
00:35:07.320 --> 00:35:10.519
been the work that alpha fold You know that basically
642
00:35:10.599 --> 00:35:15.159
the folks that DeepMind have done on protein folding. It's,
643
00:35:15.239 --> 00:35:18.639
you know, just basically a lot of the same model architecture,
644
00:35:18.960 --> 00:35:21.960
but instead of language there they folded that they kind
645
00:35:21.960 --> 00:35:24.360
of fed in all these the protein data and you
646
00:35:24.400 --> 00:35:26.239
can give it a state and it can spit out
647
00:35:26.400 --> 00:35:30.280
solutions to how those proteins get folded. So it's very powerful.
648
00:35:30.280 --> 00:35:33.079
I don't think we know yet as an industry what
649
00:35:33.159 --> 00:35:38.199
the what the natural limits of it are, and that
650
00:35:38.199 --> 00:35:40.039
that's one of the things that's pretty exciting about the
651
00:35:40.039 --> 00:35:44.360
current state. But it certainly allows you to solve problems
652
00:35:44.880 --> 00:35:48.960
that just weren't solved with the generation of machine learning
653
00:35:49.480 --> 00:35:51.119
that came before it.
654
00:35:51.039 --> 00:35:53.800
It sounds like CZI is moving a lot of work
655
00:35:53.840 --> 00:35:57.039
that was just done in vitro in dishes and in
656
00:35:57.159 --> 00:36:02.639
vivo in living organisms model organisms are humans too in silico,
657
00:36:02.840 --> 00:36:05.559
as we say, so, do you foresee a future where
658
00:36:05.599 --> 00:36:09.159
a lot of biomedical research, certainly that the work of
659
00:36:09.280 --> 00:36:14.559
CCI included is done by machines. I mean, obviously it's
660
00:36:15.159 --> 00:36:18.360
much lower cost and you can run millions of experiments,
661
00:36:18.400 --> 00:36:19.880
which of course is not to say that humans are
662
00:36:19.880 --> 00:36:23.239
not going to be involved, but I love the idea
663
00:36:23.280 --> 00:36:26.960
that we can run experiments in silico and mass.
664
00:36:27.960 --> 00:36:31.480
I think the in silical experiments are going to be
665
00:36:31.519 --> 00:36:35.519
incredibly helpful to test things quickly, too cheaply, and to
666
00:36:37.960 --> 00:36:41.400
just unleash a lot of creativity. I do think you
667
00:36:41.480 --> 00:36:43.679
need to be very careful about making sure it still
668
00:36:43.719 --> 00:36:49.880
translates and matches this humans. You know, one thing that's
669
00:36:49.880 --> 00:36:53.440
funny in basic science is we've basically cured every single
670
00:36:53.440 --> 00:36:57.840
disease in mice. Like mice have we know what's going
671
00:36:57.840 --> 00:37:00.760
on when they have a number of diseases because they're
672
00:37:00.840 --> 00:37:03.880
used as a model organism, but they are not humans.
673
00:37:03.960 --> 00:37:07.960
And a lot of times that research is relevant but
674
00:37:08.199 --> 00:37:12.000
not directly one to one translatable to humans. So you
675
00:37:12.159 --> 00:37:14.719
just have to be really careful about making sure that
676
00:37:14.880 --> 00:37:16.719
it actually works for humans.
677
00:37:18.159 --> 00:37:21.280
Sounds like what CCI is doing is actually creating a
678
00:37:21.280 --> 00:37:25.000
new field. As I'm hearing all of this, I'm thinking, Okay,
679
00:37:25.039 --> 00:37:31.679
this transcends immunology department, you know, cardiothoracic surgery. I mean neuroscience.
680
00:37:32.000 --> 00:37:35.679
The idea of a new field where you certainly embrace
681
00:37:35.719 --> 00:37:38.280
the realities of universities and laboratories because that's where most
682
00:37:38.320 --> 00:37:40.800
of the work that your funding has done. Is that right? Okay,
683
00:37:40.920 --> 00:37:43.960
So maybe we need to think about what it means
684
00:37:44.000 --> 00:37:46.840
to do science differently, and I think that's one of
685
00:37:46.880 --> 00:37:50.239
the things that's most exciting. Along those lines. It seems
686
00:37:50.280 --> 00:37:52.480
that bringing together a lot of different types of people
687
00:37:52.519 --> 00:37:58.400
at
different major institutions is going to be especially important.
688
00:37:58.440 --> 00:38:04.639
So I know that the initial CCI biohub gratefully included Stanford,
689
00:38:05.280 --> 00:38:08.159
we'll put that first in the list, but also UCSF
690
00:38:08.679 --> 00:38:12.679
forgive me many friends at UCSF, and also Berkeley. But
691
00:38:12.719 --> 00:38:17.480
there are now some additional institutions involved. So maybe you
692
00:38:17.480 --> 00:38:19.559
could talk about that and what motivated the decision to
693
00:38:19.679 --> 00:38:23.840
branch outside the Bay Area and and why you selected
694
00:38:23.840 --> 00:38:27.239
those particular additional institutions to be included.
695
00:38:27.320 --> 00:38:30.079
Well, I mean, I'll just say a part of a
696
00:38:30.079 --> 00:38:32.199
big part of why we wanted to create additional biohubs
697
00:38:32.239 --> 00:38:34.000
as we were just so impressed by the work that
698
00:38:34.039 --> 00:38:37.320
the folks who are running the first biohub did. And
699
00:38:37.360 --> 00:38:40.920
I also think and you should walk through the the
700
00:38:40.960 --> 00:38:43.800
work of the Chicago Biohub and the New York Biohub
701
00:38:43.840 --> 00:38:45.840
that we just announced. But I think it's actually an
702
00:38:45.880 --> 00:38:51.159
interesting set of examples that balance the limits of what
703
00:38:51.199 --> 00:38:55.440
you want to do with like physical material engineering and
704
00:38:55.440 --> 00:38:58.400
and and and where things are purely biological. Because the
705
00:38:58.480 --> 00:39:01.880
Chicago team is really building more sensors to be able
706
00:39:01.880 --> 00:39:03.519
to understand what's going on in your body, but that's
707
00:39:03.559 --> 00:39:07.280
more of like a physical kind of engineering challenge, whereas
708
00:39:08.039 --> 00:39:10.039
the New York team we basically talked about this is
709
00:39:10.079 --> 00:39:14.039
like a cellular endoscope of being able to have like
710
00:39:14.039 --> 00:39:16.320
an immune cell or something that can go and understand,
711
00:39:17.360 --> 00:39:20.000
you know, what is like, what's the thing that's going
712
00:39:20.039 --> 00:39:21.519
on in your body. But it's not like a physical
713
00:39:21.519 --> 00:39:24.159
piece of hardware. It's a cell that you can basically,
714
00:39:24.960 --> 00:39:28.320
you know, have have just go report out on on
715
00:39:28.320 --> 00:39:30.239
on different things that are happening inside the body.
716
00:39:30.280 --> 00:39:33.039
So so you should to sell the microscope, yeah.
717
00:39:32.880 --> 00:39:34.920
And then and then eventually actually being able to act
718
00:39:34.920 --> 00:39:36.239
on it. But I mean, but you should you should
719
00:39:36.239 --> 00:39:37.360
go into more detail in all this.
720
00:39:37.480 --> 00:39:40.119
So a core principle of how we think about biohubs
721
00:39:40.159 --> 00:39:43.760
it is that it has to be uh
when we
722
00:39:43.800 --> 00:39:46.440
invited proposals, it has to be at least three institutions,
723
00:39:47.320 --> 00:39:51.119
So really breaking down the barrier of a single university
724
00:39:51.639 --> 00:39:55.519
oftentimes asking for the people designing the research aim to
725
00:39:55.559 --> 00:40:00.079
come from all different backgrounds and to explain why the
726
00:40:00.079 --> 00:40:05.239
the problem that they want to solve requires interdisciplinary, inter
727
00:40:05.679 --> 00:40:10.880
university institution collaboration to actually make happen. We just put
728
00:40:10.880 --> 00:40:14.320
that request for proposal out there with our San Francisco
729
00:40:14.320 --> 00:40:17.880
Biohub as an example where they've done incredible work in
730
00:40:18.239 --> 00:40:24.239
single cell biology and infectious disease, and we got i
731
00:40:24.280 --> 00:40:27.599
want to say, like fifty seven proposals from over one
732
00:40:27.719 --> 00:40:31.519
hundred and fifty institutions. A lot of ideas came together,
733
00:40:31.679 --> 00:40:35.000
and you know, we're so so excited that we've been
734
00:40:35.000 --> 00:40:38.840
able to launch Chicago and New York. Chicago is a
735
00:40:38.880 --> 00:40:44.280
collaboration between UIUC University of Illinois or Rana Champaign and
736
00:40:44.679 --> 00:40:49.760
University of Chicago and Northwestern. If I obviously these universities
737
00:40:49.760 --> 00:40:52.559
are multifaceted, but if I were to sort of describe
738
00:40:52.599 --> 00:40:56.960
them by their like stereotypical strength, Northwestern has an incredible
739
00:40:57.119 --> 00:41:03.920
medical system and hospital system. University of Chicago brings to
740
00:41:04.599 --> 00:41:08.719
the table incredible basic science strengths. UH University of Illinois
741
00:41:08.800 --> 00:41:12.960
is a computing powerhouse, and so they came together and
742
00:41:13.000 --> 00:41:15.840
proposed that they were going to start thinking about cells
743
00:41:16.360 --> 00:41:19.440
in tissue, so that one of the one of the
744
00:41:19.519 --> 00:41:22.440
layers that you just alluded to, So how do the
745
00:41:22.599 --> 00:41:26.719
cells that we know behave and act differently when they
746
00:41:26.760 --> 00:41:29.119
come together as a tissue. And the first one of
747
00:41:29.159 --> 00:41:31.920
the first tissues that they're starting with is skin. So
748
00:41:32.000 --> 00:41:35.679
they've been already been able to as a collaboration under
749
00:41:35.679 --> 00:41:41.880
the leadership of Shana Kelly design art engineered skin tissue.
750
00:41:42.400 --> 00:41:46.000
The architecture looks the same as what's in you and I,
751
00:41:46.880 --> 00:41:50.960
And what they've done is built these super super thin
752
00:41:51.079 --> 00:41:55.159
sensors and they embed these sensors throughout the layers of
753
00:41:55.199 --> 00:41:56.880
this engineer tissue.
754
00:41:56.760 --> 00:41:58.559
And they read out the data.
755
00:41:58.639 --> 00:42:01.840
They want to see how these cells, what these cells
756
00:42:01.840 --> 00:42:04.360
are secreting, how these cells talk to each other, and
757
00:42:04.400 --> 00:42:07.920
what happens when these cells get inflamed. Inflammation is an
758
00:42:08.000 --> 00:42:11.719
incredibly important process that drives fifty percent of all deaths,
759
00:42:12.800 --> 00:42:15.719
and so this is another sort of disease agnostic approach.
760
00:42:15.760 --> 00:42:18.559
We want to understand inflammation and they're going to get
761
00:42:18.639 --> 00:42:21.679
a ton of information out from these sensors that tell
762
00:42:21.760 --> 00:42:26.400
you what happens when something goes awry. Because right now
763
00:42:26.440 --> 00:42:29.280
we can say, like when you have an allergic reaction.
764
00:42:29.440 --> 00:42:31.880
Your skin gets red and puffy, But what is the
765
00:42:31.920 --> 00:42:36.159
earliest signal of that? And these sensors can look at
766
00:42:36.719 --> 00:42:39.360
the behaviors of these cells over time, and then you
767
00:42:39.360 --> 00:42:41.920
can apply a large language model to look at the
768
00:42:41.960 --> 00:42:46.920
earliest statistically significant changes that can allow you to intervene
769
00:42:47.800 --> 00:42:51.320
as early as possible. So that's what Chicago's doing. They're
770
00:42:51.360 --> 00:42:55.199
starting in the skin cells. They're also looking at the
771
00:42:55.199 --> 00:43:00.920
neuromuscular junction, which is the connection between where neuron attaches
772
00:43:00.960 --> 00:43:02.840
to a muscle and tells a muscle how to behave
773
00:43:03.360 --> 00:43:07.119
super important in things like als, but also in aging.
774
00:43:08.360 --> 00:43:12.440
The slowed transmission of information across that neuromuscular junction is
775
00:43:12.440 --> 00:43:15.519
what causes old people to fall. Their brain cannot trigger
776
00:43:15.559 --> 00:43:18.920
their muscles to react fast enough, and so we want
777
00:43:18.920 --> 00:43:21.320
to be able to embed these sensors to understand how
778
00:43:21.360 --> 00:43:27.320
these different interconnected systems within our bodies work together. In
779
00:43:27.360 --> 00:43:33.760
New York, they're doing a related but equally exciting project
780
00:43:34.199 --> 00:43:39.559
where they're engineering individual cells to be able to go
781
00:43:39.639 --> 00:43:45.760
in and identify changes in a human body. So what
782
00:43:45.800 --> 00:43:48.320
they'll do is they're calling.
783
00:43:48.079 --> 00:43:50.280
It's a wild I mean, I love it. I mean
784
00:43:50.559 --> 00:43:52.840
this is I don't want to go on a tangent.
785
00:43:52.920 --> 00:43:55.360
But for those that want to look at up adaptive optics,
786
00:43:55.360 --> 00:43:58.719
you know, there's a lot of distortion and interference when
787
00:43:58.760 --> 00:44:00.440
you try and look at
something really small, a really
788
00:44:00.480 --> 00:44:04.559
far away, and really smart physicists figured out, well, use
789
00:44:04.639 --> 00:44:07.599
the interference as part of the microscope. Make those actually
790
00:44:08.079 --> 00:44:09.519
lenses of the microscope.
791
00:44:09.519 --> 00:44:10.880
You should talk about image separately.
792
00:44:11.199 --> 00:44:14.880
So it's just it's extremely clever along those lines. It's
793
00:44:14.920 --> 00:44:16.719
not intuitive, but then when you hear it, it's like
794
00:44:16.840 --> 00:44:18.639
it makes so much sense. Yeah, you know, it's not
795
00:44:18.679 --> 00:44:22.119
immediately intuitive. Make the cells that are already to navigate
796
00:44:22.119 --> 00:44:24.840
to tissues or embed themselves in tissues be the microscope
797
00:44:24.840 --> 00:44:26.400
within that tissue. Really, I love it.
798
00:44:27.039 --> 00:44:30.239
The way that I explain this to my friends and
799
00:44:30.360 --> 00:44:33.920
my family is this is fantastic voyage, but real life.
800
00:44:35.159 --> 00:44:37.559
Like we are going into the human body, and we're
801
00:44:37.679 --> 00:44:40.440
using the meane cells, which you know are privileged and
802
00:44:40.559 --> 00:44:43.760
already working to keep your body healthy, and being able
803
00:44:43.800 --> 00:44:47.039
to target them to examine certain things. So like you
804
00:44:47.079 --> 00:44:50.159
can engineer in a mine cell to go in your
805
00:44:50.159 --> 00:44:54.000
body and look inside your coronary arteries and say are
806
00:44:54.039 --> 00:44:58.239
these arteries healthy? Or are their plaques because because plaques
807
00:44:58.320 --> 00:45:02.519
lead to blockage, which lead to heart attacks, and the
808
00:45:02.639 --> 00:45:05.920
cell can then record that information and report it back out.
809
00:45:06.239 --> 00:45:08.119
That's the first half what the New York biohob is
810
00:45:08.119 --> 00:45:11.039
going to do. The second half is can you then
811
00:45:11.199 --> 00:45:13.840
engineer the cells to go do something about it? Can
812
00:45:13.880 --> 00:45:16.559
I then tell a different cell, immune cell that is
813
00:45:16.599 --> 00:45:19.199
able to transport in your body, to go in and
814
00:45:19.239 --> 00:45:24.199
clean that up in a targeted way? And so it's
815
00:45:24.400 --> 00:45:28.000
incredibly exciting. They're going to study things that are sort
816
00:45:28.039 --> 00:45:30.960
of immune privileged that your immune system normally doesn't have
817
00:45:31.000 --> 00:45:36.519
access to, things like ovarian and pancreatic cancer. They'll also
818
00:45:36.599 --> 00:45:40.440
look at a number of nerd degenerative diseases since the
819
00:45:40.639 --> 00:45:44.159
immune system doesn't presently have a ton of access into
820
00:45:44.639 --> 00:45:50.320
the nervous system. But it's both mind blowing and it
821
00:45:50.360 --> 00:45:52.840
feels like sci fi. But science is actually in a
822
00:45:52.840 --> 00:45:56.239
place where if you really pushed a group of incredibly
823
00:45:56.320 --> 00:45:59.800
qualified scientists, they could you do this? If given the chance,
824
00:45:59.800 --> 00:46:04.639
then there's like probably give us enough time, the bright
825
00:46:04.679 --> 00:46:06.880
team and resources, like it's doable.
826
00:46:07.000 --> 00:46:10.119
Yeah, I mean it's a ten to fifteen year project. Yeah,
827
00:46:10.159 --> 00:46:12.800
but it's awesome. Engineer it sells. Yeah.
828
00:46:13.159 --> 00:46:15.719
I love the optimism and the moment you said, make
829
00:46:15.719 --> 00:46:18.960
the sell the microscope, so to speak, it was like, yes, yes,
830
00:46:19.000 --> 00:46:22.639
and yes. It just makes so much sense. What motivated
831
00:46:22.639 --> 00:46:26.880
the decision to do the work of CCI in the
832
00:46:26.880 --> 00:46:30.320
context of existing universities as opposed to you know, there's
833
00:46:30.360 --> 00:46:32.360
still some real estate up in Redwood City where there's
834
00:46:32.400 --> 00:46:34.639
a bunch of space to put biotech companies and just
835
00:46:34.760 --> 00:46:38.679
hiring people from all all backgrounds and saying hey, you know,
836
00:46:38.800 --> 00:46:41.280
have at it and doing this stuff from scratch. I mean,
837
00:46:41.280 --> 00:46:44.679
it's a very interesting decision to do this in the
838
00:46:44.719 --> 00:46:47.280
context of an existing framework of like graduate students that
839
00:46:47.320 --> 00:46:49.480
need to do a thesis and get a first author paper,
840
00:46:49.559 --> 00:46:51.880
because there's a whole set of structures within academia that
841
00:46:51.960 --> 00:46:55.199
I think both facilitate but also limit the progression of science.
842
00:46:55.480 --> 00:46:58.360
You know, that independent investigator model that we talked about
843
00:46:58.360 --> 00:47:01.239
a little bit earlier, it's so core to the way
844
00:47:01.280 --> 00:47:03.599
science has been done. This is very different and frankly,
845
00:47:03.639 --> 00:47:06.519
sounds far more efficient if I'm to be completely honest.
846
00:47:06.559 --> 00:47:08.599
And you know, we'll see if I renew my NIH
847
00:47:08.639 --> 00:47:11.800
funding after saying that. But I think we all want
848
00:47:11.840 --> 00:47:13.920
the same thing. We all want to as scientists and
849
00:47:14.239 --> 00:47:17.920
as you know, as humans, we want to understand the
850
00:47:17.920 --> 00:47:22.400
way we work. And we want healthy people to persist
851
00:47:22.400 --> 00:47:24.159
to be healthy, and we want sick people to get healthy.
852
00:47:24.199 --> 00:47:27.079
I mean, that's really ultimately the goal. It's not super complicated,
853
00:47:27.119 --> 00:47:27.880
it's just hard to do.
854
00:47:28.119 --> 00:47:32.480
So the teams at the Biohub are actually independent of
855
00:47:32.559 --> 00:47:35.719
the universities, got it. So each Biohub will
probably have
856
00:47:36.440 --> 00:47:40.960
in total maybe fifty people working on sort of deep efforts. However,
857
00:47:41.159 --> 00:47:44.719
it's an acknowledgment that not all of the best scientists
858
00:47:44.760 --> 00:47:48.880
who can contribute to this area are actually going to
859
00:47:49.039 --> 00:47:52.199
one want to leave a university or want to take
860
00:47:52.239 --> 00:47:55.599
on the full time scope of this project. So it's
861
00:47:55.639 --> 00:48:01.559
the ability to partner with universities and to have the
862
00:48:01.719 --> 00:48:04.400
faculty at all the universities be able to contribute to
863
00:48:04.800 --> 00:48:08.599
the overall project is how the bio Hub is structured.
864
00:48:08.920 --> 00:48:09.320
Got it.
865
00:48:09.800 --> 00:48:12.320
But a lot of the way that we're approaching CZI
866
00:48:12.800 --> 00:48:16.280
is this long term iterative project to figure out try
867
00:48:16.320 --> 00:48:19.320
a bunch of different things, figure out which things produce
868
00:48:19.400 --> 00:48:22.360
the most interesting results, and then double down on those
869
00:48:22.440 --> 00:48:26.280
in the next five year push. Right, So we just
870
00:48:26.320 --> 00:48:28.880
went through this period where we kind of wrapped up
871
00:48:28.920 --> 00:48:31.159
the first five years of the Science program, and we
872
00:48:31.239 --> 00:48:33.159
tried a lot of different models, right, all kinds of
873
00:48:33.159 --> 00:48:36.840
different things. And it's not that the biohub model. We
874
00:48:36.840 --> 00:48:39.599
don't think it's like the best or only model, but
875
00:48:39.639 --> 00:48:43.119
we found that it was sort of a really interesting
876
00:48:43.159 --> 00:48:47.039
way to unlock a bunch of collaboration and bring some
877
00:48:47.079 --> 00:48:50.519
technical resources that allow for this longer term development. And
878
00:48:50.800 --> 00:48:55.199
it's not something that is widely being pursued across the
879
00:48:55.239 --> 00:48:57.000
rest of the field. So we figured, Okay, this is
880
00:48:57.000 --> 00:48:59.840
like an interesting thing that we can help push on.
881
00:49:00.559 --> 00:49:04.199
I mean, yeah, we do believe in the collaboration, but
882
00:49:04.519 --> 00:49:07.639
I also think that we come at this with you know,
883
00:49:07.639 --> 00:49:09.559
we don't think that the way that we're pursuing this
884
00:49:09.800 --> 00:49:11.639
is like the only way to do this or the
885
00:49:11.639 --> 00:49:13.880
way that everyone should do it. We're pretty aware of
886
00:49:14.599 --> 00:49:17.519
you know that, you know, what is the rest of
887
00:49:17.559 --> 00:49:19.639
the ecosystem and how we can play a unique role
888
00:49:19.679 --> 00:49:20.360
in it.
889
00:49:20.360 --> 00:49:22.880
It feels very synergistic with the way science has already
890
00:49:22.880 --> 00:49:26.599
done and also feels an incredibly important niche that frankly
891
00:49:26.800 --> 00:49:31.440
wasn't filled before along lines of implementation. So let's say
892
00:49:32.960 --> 00:49:37.400
your large language models combined with imaging tools reveal that
893
00:49:37.480 --> 00:49:41.719
a particular set of genes acting in a cluster I
894
00:49:41.760 --> 00:49:45.079
don't know, set up an organ crash. Let's say the
895
00:49:45.480 --> 00:49:49.360
pancreas crash as a particular stage of pancreatic cancer. I mean,
896
00:49:49.440 --> 00:49:52.440
still one of the most deadliest of the cancers. And
897
00:49:54.079 --> 00:49:55.800
there are others that you certainly wouldn't want to get,
898
00:49:55.800 --> 00:49:57.880
but that's among the ones you wouldn't want to get
899
00:49:58.280 --> 00:50:00.840
the most. So you discover that and then and the
900
00:50:00.880 --> 00:50:04.239
idea is that, Okay, Then AI reveals some potential drug
901
00:50:04.280 --> 00:50:07.760
targets then bear out in vitro, in a dish and
902
00:50:07.800 --> 00:50:12.039
in a mouse model. How is the actual implementation of
903
00:50:12.039 --> 00:50:15.719
to drug discovery or even maybe this target is druggable,
904
00:50:15.719 --> 00:50:18.239
maybe it's not. Maybe and it requires some other approach,
905
00:50:18.360 --> 00:50:22.840
you know, laser laser ablation approach or something we don't know.
906
00:50:23.199 --> 00:50:25.679
But ultimately, is CAZI going to be involved in the
907
00:50:25.679 --> 00:50:29.960
implementation of new therapeutics? Is that the idea I think les?
908
00:50:30.000 --> 00:50:32.960
So that's you know, this is where it's important to
909
00:50:33.000 --> 00:50:35.559
work in an ecosystem and to know your own limitations.
910
00:50:35.639 --> 00:50:38.639
Like there are groups.
911
00:50:38.039 --> 00:50:41.599
And startups and companies that take that and bring it
912
00:50:41.639 --> 00:50:45.719
to translation very effectively. I would say the place where
913
00:50:45.760 --> 00:50:49.159
we have a small window into that world is actually
914
00:50:49.239 --> 00:50:54.000
our work with rare disease groups. We we have through
915
00:50:54.000 --> 00:50:58.159
our ar as one portfolio funded Patient advocates to create
916
00:50:59.239 --> 00:51:06.480
rare disease organizations where patients come together and actually pool
917
00:51:06.599 --> 00:51:12.039
their collective experience. They build bioregistries, registries of their natural history,
918
00:51:12.559 --> 00:51:16.599
and they both partner with researchers to do the research
919
00:51:16.639 --> 00:51:22.360
about their disease and with drug developers to incentivize drug
920
00:51:22.360 --> 00:51:26.079
developers to focus on what they may need for their disease.
921
00:51:26.320 --> 00:51:28.880
And you know, one thing that's important to point out
922
00:51:28.880 --> 00:51:31.679
is that rare diseases aren't rare. They are over seven
923
00:51:31.760 --> 00:51:38.239
thousand rare diseases and collectively impact
many, many individuals. And
924
00:51:38.519 --> 00:51:44.559
I think the thing that's from a basic science perspective,
925
00:51:45.079 --> 00:51:48.000
incredibly fascinating thing about rare diseases is that they're actually
926
00:51:48.119 --> 00:51:52.559
windows to how the body normally should work. And so
927
00:51:52.719 --> 00:51:58.679
there are often mutations that when genes that were when
928
00:51:58.679 --> 00:52:03.159
they're mutated very specific diseases, but that tell you how
929
00:52:03.400 --> 00:52:05.199
the normal biology works as well.
930
00:52:05.639 --> 00:52:11.360
Got it. So you discussed basically that the goals major
931
00:52:11.360 --> 00:52:14.159
goals and initiatives of the CZI for the next five
932
00:52:14.199 --> 00:52:18.320
to ten years, and then beyond that the targets will
933
00:52:18.320 --> 00:52:21.760
be explored by biotech companies. They'll grab those targets and
934
00:52:22.320 --> 00:52:23.800
test them and implement them.
935
00:52:23.840 --> 00:52:26.639
They've also, I think been a couple of teams from
936
00:52:26.679 --> 00:52:29.480
the initial Biohub that were interested in spinning out ideas
937
00:52:29.679 --> 00:52:31.920
right into startups. So that's just it's even though it's
938
00:52:31.960 --> 00:52:35.920
not a thing that we're going to pursue because we're
939
00:52:35.960 --> 00:52:39.880
a philanthropy, we want to enable the work that gets
940
00:52:39.880 --> 00:52:42.440
done to be able to get turned into companies and
941
00:52:42.679 --> 00:52:45.920
things that other people go take and and run towards
942
00:52:46.000 --> 00:52:50.440
towards building you know, ultimately therapeutics. So that's that's another zone.
943
00:52:50.480 --> 00:52:51.840
But that's just that's not a thing that we're going
944
00:52:51.920 --> 00:52:52.760
to do about it.
945
00:52:53.840 --> 00:52:58.119
I gather you're both optimist. Yeah, is that part of
946
00:52:58.159 --> 00:53:00.440
what brought you together? Forgive me for where you get
947
00:53:00.599 --> 00:53:03.039
switching to a personal question. But I love the optimism
948
00:53:03.639 --> 00:53:05.639
that it seems to sit at the root of the CZI.
949
00:53:06.400 --> 00:53:09.840
I will say that we are incredibly hopeful people, but
950
00:53:10.280 --> 00:53:13.599
it manifests in different ways between the two of us.
951
00:53:14.000 --> 00:53:16.840
Yeah, what do you how would you.
952
00:53:16.800 --> 00:53:18.519
Describe your optimism versus mine?
953
00:53:19.079 --> 00:53:20.159
It's not a loaded question.
954
00:53:22.480 --> 00:53:33.199
I don't know, huh. I mean, I think I'm more
955
00:53:33.519 --> 00:53:37.840
probably technologically optimistic about what can be built. And I
956
00:53:37.880 --> 00:53:41.760
think you, because of your focus, as you know, an
957
00:53:41.800 --> 00:53:47.760
actual doctor, kind of have more of a sense of
958
00:53:47.800 --> 00:53:51.280
how that's going to affect actual people in their lives,
959
00:53:52.239 --> 00:53:54.519
whereas for me, it's like, I mean, a lot of
960
00:53:54.559 --> 00:53:58.079
my work it is you know, it's like we touch
961
00:53:58.159 --> 00:54:01.079
a lot of people around the world, and the scale
962
00:54:01.119 --> 00:54:03.079
is sort of immense, and I think for you, just
963
00:54:03.400 --> 00:54:07.960
like it's like being able to improve the lives of individuals,
964
00:54:08.000 --> 00:54:11.000
whether it's students at any of the schools that you've started,
965
00:54:11.079 --> 00:54:12.480
or any of the stuff that we've supported through the
966
00:54:12.559 --> 00:54:15.920
education work, which isn't the goal here, or you know,
967
00:54:16.559 --> 00:54:19.559
like just being able to improve people's lives in that way,
968
00:54:19.599 --> 00:54:21.360
I think is the thing that I've seen you be
969
00:54:21.559 --> 00:54:25.519
super passionate about. Does that Do you agree with that characterization?
970
00:54:25.559 --> 00:54:26.400
I'm trying. I'm trying to.
971
00:54:26.800 --> 00:54:30.079
Yeah, I agree with that. I think that's very fair.
972
00:54:30.239 --> 00:54:32.880
And I'm sort of giggling to myself because in a
973
00:54:33.039 --> 00:54:37.199
day to day life, as like life partners, our relative
974
00:54:37.239 --> 00:54:42.840
optimism comes through as Mark just like is overly optimistic
975
00:54:42.880 --> 00:54:46.800
about his time management and will get engrossed in interesting ideas.
976
00:54:46.960 --> 00:54:49.159
I'm late and he's late, and.
977
00:54:49.440 --> 00:54:51.480
Every positions are very punctual.
978
00:54:51.119 --> 00:54:54.119
And because he's late, I have to channel Marks an
979
00:54:54.119 --> 00:54:56.519
optimist whenever I'm waiting for him.
980
00:54:56.639 --> 00:54:59.519
Such a nice way. Okay, I'll start using.
981
00:54:59.360 --> 00:55:00.519
That's I think.
982
00:55:00.599 --> 00:55:02.679
When I'm in the driveway with the kids waiting for you,
983
00:55:02.760 --> 00:55:06.960
I'm like, Mark is an optimist, and so his optimism
984
00:55:07.519 --> 00:55:11.760
translates to some tardiness, whereas I'm a sort of I'm like,
985
00:55:11.880 --> 00:55:12.920
how does what's?
986
00:55:13.199 --> 00:55:14.559
How is? How is this going to happen?
987
00:55:14.719 --> 00:55:16.719
Like I'm going to open a spreadsheet, I'm going to
988
00:55:17.039 --> 00:55:20.159
start putting together a plan and like putting pulling together
989
00:55:20.159 --> 00:55:23.639
all the pieces, calling people to sort of like bring
990
00:55:23.719 --> 00:55:25.199
something to life. But it is.
991
00:55:25.239 --> 00:55:29.800
It's one of my favorite quotes, that is optimists tend
992
00:55:29.800 --> 00:55:34.320
to be successful and pessimists tend to be right. And yeah,
993
00:55:34.320 --> 00:55:35.960
I mean I think it's It's true in a lot
994
00:55:36.000 --> 00:55:38.159
of different aspects of life.
995
00:55:38.320 -->
00:55:41.559
Right, Who said that? Did you say that? Mark? I?
996
00:55:44.400 --> 00:55:45.760
I like it. I did not invent it.
997
00:55:46.559 --> 00:55:50.199
We'll give it to you, We'll put it out, But
998
00:55:50.840 --> 00:55:52.920
I do think that there's really something to it, right,
999
00:55:52.920 --> 00:55:56.199
And there's like, if you're discussing any idea, there's all
1000
00:55:56.199 --> 00:55:59.480
these reasons why it might not work, And so I
1001
00:55:59.599 --> 00:56:03.039
I think that and those reasons are you know, probably
1002
00:56:03.079 --> 00:56:06.280
true that people are stating them, are you know, probably
1003
00:56:06.280 --> 00:56:07.400
have some validity to it.
1004
00:56:07.440 --> 00:56:09.639
But the question is that is that the most productive
1005
00:56:09.639 --> 00:56:12.039
way to view the world? And you know, I think
1006
00:56:12.079 --> 00:56:14.480
across the board, and I think the people who tend
1007
00:56:14.480 --> 00:56:16.639
to be the most productive and get the most done.
1008
00:56:17.480 --> 00:56:19.239
You kind of need to be optimistic because if you
1009
00:56:19.239 --> 00:56:21.719
don't believe that someone can get done, then why would
1010
00:56:21.719 --> 00:56:22.480
you go work on it.
1011
00:56:22.920 --> 00:56:25.079
The reason I asked the question is that you know
1012
00:56:25.119 --> 00:56:26.960
that these days we hear a lot about you know,
1013
00:56:27.039 --> 00:56:30.199
the future is looking so dark in these various ways.
1014
00:56:30.239 --> 00:56:34.480
And you have children, so you have families and you
1015
00:56:34.559 --> 00:56:37.559
are a family excuse me, and you also have families
1016
00:56:37.559 --> 00:56:42.239
independently that are now merged. But I love the optimism
1017
00:56:42.280 --> 00:56:47.119
behind the CZI because you know, you know, behind all
1018
00:56:47.159 --> 00:56:49.519
this that there's sort of a set of big statements
1019
00:56:49.559 --> 00:56:52.440
on the wall. One the future can be better than
1020
00:56:52.480 --> 00:56:56.320
the present in terms of treating disease. Maybe even you said,
1021
00:56:56.360 --> 00:57:01.840
eliminating diseases, all diseases. I love that optimism and that
1022
00:57:01.920 --> 00:57:04.800
there's a tractable path to do it, Like we're going
1023
00:57:04.880 --> 00:57:07.880
to put literally, you know, money and time and energy
1024
00:57:07.880 --> 00:57:12.000
and people and technology and AI behind that. And so
1025
00:57:12.800 --> 00:57:19.559
I have to ask, was having children a significant modifier
1026
00:57:19.599 --> 00:57:21.519
in terms of your view of the future, Like, Wow,
1027
00:57:21.519 --> 00:57:23.000
like you hear all this dooming gloom, Like what's the
1028
00:57:23.000 --> 00:57:25.840
future going to be like for them? Did you sit
1029
00:57:25.920 --> 00:57:28.039
back and think, you know, what would it look like
1030
00:57:28.079 --> 00:57:30.880
if there was a
future with no diseases? Is that
1031
00:57:30.920 --> 00:57:32.800
the future we want our children in. I mean, I'm
1032
00:57:32.880 --> 00:57:34.800
voting a big gas, so we're not gonna we're not
1033
00:57:34.840 --> 00:57:37.199
going to debate that at all. But was having children
1034
00:57:37.719 --> 00:57:39.920
sort of an inspiration for the CCI in some way?
1035
00:57:41.119 --> 00:57:42.000
Yeah?
1036
00:57:42.079 --> 00:57:45.719
So I think my answer to that I would dial
1037
00:57:45.800 --> 00:57:49.840
backwards for me. And I'll just tell a very brief
1038
00:57:50.159 --> 00:57:54.360
story about my family. I'm the daughter of Chinese Vietnamese refugees.
1039
00:57:55.400 --> 00:57:59.480
My parents and grandparents were both people if you remember,
1040
00:57:59.519 --> 00:58:03.119
people Vietnam during the war in these small boats into
1041
00:58:03.119 --> 00:58:08.800
the South China Sea, and there were stories about how
1042
00:58:08.840 --> 00:58:11.480
these boats would sync with whole families on them, and
1043
00:58:11.559 --> 00:58:14.199
so my grandparents, who boats had their grandparents who knew
1044
00:58:14.199 --> 00:58:18.119
each other, decided that there was a better future out
1045
00:58:18.159 --> 00:58:20.199
there and they were willing to take a risk for it,
1046
00:58:21.039 --> 00:58:23.760
but they were afraid of losing all of their kids.
1047
00:58:24.559 --> 00:58:26.559
My dad is one of six, my mom is one
1048
00:58:26.639 --> 00:58:32.079
of ten, And so they decided that there was something
1049
00:58:32.119 --> 00:58:35.159
out there in this bleak time, and they paired up
1050
00:58:35.159 --> 00:58:38.880
their kids, one from each family and sent them out
1051
00:58:38.920 --> 00:58:43.840
on these little boats before the internet, before cell phones,
1052
00:58:44.320 --> 00:58:46.679
and just said we'll see you on the other side.
1053
00:58:47.159 --> 00:58:47.400
Wow.
1054
00:58:48.039 --> 00:58:51.599
And the kids were between the ages of like, you know,
1055
00:58:52.199 --> 00:58:55.880
ten to twenty five, so young kids. My mom was
1056
00:58:55.880 --> 00:59:01.079
a teenager at early teen when this happened, and everyone
1057
00:59:01.159 --> 00:59:01.519
made it.
1058
00:59:01.639 --> 00:59:03.000
And I get to sit here and talk to.
1059
00:59:02.960 --> 00:59:07.519
You, so how could I not believe that, like better
1060
00:59:07.679 --> 00:59:10.199
is possible, and like I hope that that's in my
1061
00:59:10.400 --> 00:59:12.320
like epigenetic somewhere.
1062
00:59:11.960 --> 00:59:12.880
And then I carry that on.
1063
00:59:13.599 --> 00:59:17.039
That is a spectacular story, Isn't that wild? It is spectacular?
1064
00:59:17.079 --> 00:59:18.400
How can I be a pessimist with that?
1065
00:59:18.880 --> 00:59:21.079
I love it? And I so appreciate that you became
1066
00:59:21.119 --> 00:59:26.280
a physician, because you're now bringing that optimism and epigenetic
1067
00:59:26.519 -->
00:59:30.159
understanding and cognitive understanding and emotional understanding to the field
1068
00:59:30.159 --> 00:59:34.199
of medicine. So I'm grateful to the people that made
1069
00:59:34.199 --> 00:59:34.760
that decision.
1070
00:59:34.960 --> 00:59:37.800
Yeah, and then you know, when I think you don't really,
1071
00:59:37.960 --> 00:59:41.559
I've always known that story, but you don't understand how
1072
00:59:41.599 --> 00:59:44.079
wild that feels until you have your own child and
1073
00:59:44.119 --> 00:59:47.039
you're like, well, I can't even I refuse to let
1074
00:59:47.079 --> 00:59:50.840
her use you know, glass bottles only or something like that,
1075
00:59:51.079 --> 00:59:51.639
And you're.
1076
00:59:51.480 --> 00:59:52.360
Like, oh my god.
1077
00:59:52.480 --> 00:59:55.880
Like the risk and the sort of willingness of my
1078
00:59:55.920 --> 01:00:00.840
grandparents to believe in something bigger and better is just astounding,
1079
01:00:00.880 --> 01:00:03.199
and as our own children sort of give it a
1080
01:00:03.239 --> 01:00:07.920
sense of urgency.
1081
01:00:05.840 --> 01:00:10.000
And spectacular story. And you're sending knowledge out into the
1082
01:00:10.000 --> 01:00:12.360
fields of science and bringing knowledge into the fields of science,
1083
01:00:12.360 --> 01:00:15.039
and I love this. We'll see you on the other side.
1084
01:00:15.440 --> 01:00:19.880
I'm confident that it will all come back. Well, thank
1085
01:00:19.920 --> 01:00:23.880
you so much for that. I Marko, you have the
1086
01:00:23.920 --> 01:00:27.400
opportunity to talk about having kids change your worldview.
1087
01:00:26.920 --> 01:00:29.760
And it's really tough to beat that story. It is
1088
01:00:29.800 --> 01:00:30.880
tough to beat that story.
1089
01:00:31.079 --> 01:00:33.239
And they are also your children, so in this case,
1090
01:00:33.920 --> 01:00:36.599
you know, you get the two for the price of one,
1091
01:00:36.639 --> 01:00:37.199
so to speak.
1092
01:00:37.360 --> 01:00:41.719
So having children definitely changes your time horizon something that
1093
01:00:41.719 --> 01:00:43.840
that's one thing is you just like there are all
1094
01:00:43.880 --> 01:00:46.840
these things that I think we had talked about for
1095
01:00:46.840 --> 01:00:48.880
as long as we've known each other that you eventually
1096
01:00:48.880 --> 01:00:50.719
want to go do. But then it's like, oh, we're
1097
01:00:50.760 --> 01:00:53.480
having kids, we need to get on this right, so
1098
01:00:53.559 --> 01:00:54.119
I have theirs.
1099
01:00:54.280 --> 01:00:56.960
That was actually one of the checklists, the baby checklist
1100
01:00:57.000 --> 01:00:58.000
before the first it.
1101
01:00:58.039 --> 01:00:59.960
Was like, the baby's coming, you have to like start.
1102
01:01:00.079 --> 01:01:04.679
It's ez I truly and like sitting in the hospital
1103
01:01:04.880 --> 01:01:09.119
delivery room finishing editing the letter that we
were going
1104
01:01:09.159 --> 01:01:12.079
to publish to announce those That.
1105
01:01:12.159 --> 01:01:15.360
Is an exaggeration, it was not. We really were editing
1106
01:01:15.400 --> 01:01:16.320
the final drafts.
1107
01:01:16.480 --> 01:01:23.599
Birth Well, it's it's an incredible initiative. I've I've been
1108
01:01:23.599 --> 01:01:28.320
following it since its inception and and it's already been
1109
01:01:28.360 --> 01:01:31.719
tremendously successful. And everyone in the field of science and
1110
01:01:31.760 --> 01:01:33.480
I have a lot of communication with those folks. It
1111
01:01:33.519 --> 01:01:36.440
feels the same way, and the future is even brighter
1112
01:01:36.440 --> 01:01:38.159
for it. It's clear, and thank you for expanding to
1113
01:01:38.199 --> 01:01:42.760
the Midwest and New York and we're all very excited
1114
01:01:42.800 --> 01:01:44.639
to see where all of this goes. I share in
1115
01:01:44.639 --> 01:01:47.280
your optimism and thank you for your time.
1116
01:01:47.119 --> 01:01:49.119
Today, Thank you, thank you.
1117
01:01:49.239 --> 01:01:51.960
A lot more to do, and now for my discussion
1118
01:01:52.239 --> 01:01:57.320
with Mark Zuckerberg. Slight shift of topic here. You're extremely
1119
01:01:57.360 --> 01:02:01.480
well known for your role in technology development, but by
1120
01:02:01.559 --> 01:02:06.880
virtue of your personal interests and also where meta technology
1121
01:02:06.960 --> 01:02:10.400
interfaces with mental health and physical health, you're starting to
1122
01:02:10.440 --> 01:02:14.280
become synonymous with health, whether you realize it or not.
1123
01:02:15.000 --> 01:02:18.400
Part of that is because there's post footage of you
1124
01:02:18.880 --> 01:02:21.760
rolling jiu jitsu. You want a jiu jitsu competition. Recently,
1125
01:02:22.800 --> 01:02:27.840
you're doing other forms of martial arts, water sports, in cleaning, surfing,
1126
01:02:27.960 --> 01:02:33.159
and on and on, so you're doing it yourself. But
1127
01:02:33.639 --> 01:02:37.519
maybe we could just start off with technology and get
1128
01:02:37.519 --> 01:02:40.920
this issue out of the way first, which is that
1129
01:02:41.119 --> 01:02:45.519
I think many people assume that technology, especially technology that
1130
01:02:45.599 --> 01:02:49.119
involves a screen excuse me of any kind, is going
1131
01:02:49.159 --> 01:02:53.599
to be detrimental to our health. But that doesn't necessarily
1132
01:02:53.639 --> 01:02:56.280
have to be the case. So could you explain how
1133
01:02:56.280 --> 01:03:02.519
you see technology meshing with inhibiting or maybe even promoting
1134
01:03:03.119 --> 01:03:04.440
physical and mental health.
1135
01:03:05.280 --> 01:03:09.280
Sure, I mean, I think this is a really important topic.
1136
01:03:09.480 --> 01:03:14.000
It's you know, the research that we've done suggests that
1137
01:03:15.000 --> 01:03:17.360
it's not like all good or all bad. I
think
1138
01:03:17.400 --> 01:03:20.320
how you're using the technology has a big impact on
1139
01:03:20.599 --> 01:03:25.440
whether it is basically a positive experience for you. And
1140
01:03:25.480 --> 01:03:28.519
even within technology, even within social media, there's not kind
1141
01:03:28.519 --> 01:03:30.880
of one type of thing that people do. I think
1142
01:03:30.920 --> 01:03:36.679
at its best, you're forming meaningful connections with other people,
1143
01:03:37.000 --> 01:03:39.880
and you know, there's a lot of research that basically
1144
01:03:39.960 --> 01:03:42.880
suggests that, you know, it's it's the relationships that we
1145
01:03:43.000 --> 01:03:47.119
have and friendships that kind of bring the most happiness
1146
01:03:47.320 --> 01:03:50.679
and in our lives and at some level end up
1147
01:03:50.719 --> 01:03:53.599
even correlating with living a longer and healthier life because
1148
01:03:53.760 --> 01:03:55.920
you know, that kind of grounding that you have in
1149
01:03:55.960 --> 01:03:58.400
community ends up being important for that. So like that
1150
01:03:58.400 --> 01:04:02.760
that aspect of social media, which is you know, the
1151
01:04:02.800 --> 01:04:05.840
ability to connect with people, to understand what's going on
1152
01:04:05.960 --> 01:04:09.119
in people's lives, have empathy for them, communicate what's going
1153
01:04:09.159 --> 01:04:13.119
on with your life. Express that that's generally positive. There
1154
01:04:13.159 --> 01:04:15.960
are ways that it can be negative in terms of
1155
01:04:16.559 --> 01:04:19.960
bad interactions, things like bullying, which we can talk about
1156
01:04:19.960 --> 01:04:21.800
because there's a lot that we've done to basically make
1157
01:04:21.840 --> 01:04:24.000
sure that people can be safe from that and give
1158
01:04:24.039 --> 01:04:26.840
people tools and give kids ability to have the right
1159
01:04:26.840 --> 01:04:29.639
parental controls that their parents can oversee that. But that's
1160
01:04:29.639 --> 01:04:33.400
sort of the interacting with people's side. There's another side
1161
01:04:33.480 --> 01:04:36.320
of all this, which I think of is just like
1162
01:04:37.400 --> 01:04:43.239
passive consumption, which at its best, it's entertainment, right, And
1163
01:04:43.360 --> 01:04:46.599
entertainment is an important human thing too, But I don't
1164
01:04:46.599 --> 01:04:50.599
think that that has quite the same association with the
1165
01:04:50.639 --> 01:04:56.360
long term well being and health benefits as being able
1166
01:04:56.360 --> 01:04:59.639
to help people connect with other people does. And I
1167
01:04:59.639 --> 01:05:05.800
think it's worst some of the stuff that we see online.
1168
01:05:07.280 --> 01:05:09.280
I think these days, a lot of the news is
1169
01:05:09.360 --> 01:05:13.519
just so relentlessly negative that it's just hard to you know,
1170
01:05:13.599 --> 01:05:16.320
come away from an
experience where you're, you know, looking
1171
01:05:16.480 --> 01:05:19.280
at the news for half an hour and like feel
1172
01:05:19.440 --> 01:05:23.440
better about the world. So I think that there's a
1173
01:05:23.480 --> 01:05:27.039
mix on this. I think the more that social media
1174
01:05:27.119 --> 01:05:32.360
is about connecting with people, and the more that when
1175
01:05:32.400 --> 01:05:36.119
you're kind of consuming and using the media part of
1176
01:05:36.159 --> 01:05:40.079
social media to learn about things that kind of enrich
1177
01:05:40.159 --> 01:05:44.000
you and can provide inspiration or education as opposed to
1178
01:05:44.039 --> 01:05:47.519
things that just leave you with a more toxic feeling.
1179
01:05:48.400 --> 01:05:50.800
That that's sort of the the balance that we try
1180
01:05:50.840 --> 01:05:53.639
to get right across our products, and I think we're
1181
01:05:53.639 --> 01:05:55.599
pretty aligned with the community, because at the end of
1182
01:05:55.639 --> 01:05:57.760
the day, you know, I mean, people don't want to
1183
01:05:58.000 --> 01:06:00.360
use a product and come away feeling bad. You know,
1184
01:06:00.360 --> 01:06:04.880
there's a lot that people talk about valuate a lot
1185
01:06:04.920 --> 01:06:07.800
of these products in terms of information and utility, but
1186
01:06:08.360 --> 01:06:10.480
I think it's as important when you're designing a product
1187
01:06:11.000 --> 01:06:13.800
to think about what kind of feeling you're creating with
1188
01:06:13.840 --> 01:06:16.280
the people who use it, right, whether that's kind of
1189
01:06:16.280 --> 01:06:19.360
an aesthetic sense when you're designing hardware, or just kind
1190
01:06:19.360 --> 01:06:22.199
of like what, like what do you make people feel?
1191
01:06:22.360 --> 01:06:24.960
And generally people don't want to feel bad, right, So
1192
01:06:25.599 --> 01:06:27.480
I think when you know, that doesn't mean that we
1193
01:06:27.519 --> 01:06:30.039
want to shelter people from bad things that are happening
1194
01:06:30.079 --> 01:06:33.800
in the world. But I don't really think that, you know,
1195
01:06:33.800 --> 01:06:36.920
it's not what people want, you know, for us to
1196
01:06:37.039 --> 01:06:40.280
just be kind of just showing like all this super
1197
01:06:40.320 --> 01:06:43.840
negative stuff all day long. So we work hard on
1198
01:06:43.840 --> 01:06:45.880
all these different problems, you know, making sure that we're
1199
01:06:46.159 --> 01:06:48.719
helping connect people as best as possible, helping make sure
1200
01:06:48.760 --> 01:06:52.199
that we give people good tools to block people who
1201
01:06:52.280 --> 01:06:54.880
might be bullying them or harass them, or especially for
1202
01:06:54.960 --> 01:06:57.239
younger folks, you know, anyone under the age of sixteen
1203
01:06:57.320 --> 01:07:00.159
defaults into an experience where their experience is private. We
1204
01:07:00.199 --> 01:07:03.400
have all these parental tools so that way, you know,
1205
01:07:03.480 --> 01:07:06.079
parents can can kind of understand what their children is
1206
01:07:06.159 --> 01:07:08.239
up to and are up to in a good balance.
1207
01:07:09.159 --> 01:07:11.800
And then on the other side, we try to give
1208
01:07:11.840 --> 01:07:15.679
people tools to understand how they're spending their time, and
1209
01:07:15.719 --> 01:07:17.559
we try to give people tools so that you know,
1210
01:07:17.559 --> 01:07:19.719
if you're if you're a teen and you're kind of
1211
01:07:19.880 --> 01:07:23.119
stuck in some you know, loop of just looking at
1212
01:07:23.119 --> 01:07:24.960
one type of content, will nudge you and say, hey,
1213
01:07:25.000 --> 01:07:27.000
you've been looking at content of this type for a while,
1214
01:07:27.360 --> 01:07:29.519
Like how about something else? And here's here's a bunch
1215
01:07:29.519 --> 01:07:31.400
of other examples. So I think that there were things
1216
01:07:31.400 --> 01:07:32.679
that you can do to kind of push this in
1217
01:07:32.719 --> 01:07:34.559
a positive direction. But I think it just starts with
1218
01:07:35.480 --> 01:07:38.000
having a more nuanced view of like this isn't all
1219
01:07:38.000 --> 01:07:40.559
good or all bad, and the more that you can
1220
01:07:40.599 --> 01:07:43.079
make it kind of a positive thing, the better this
1221
01:07:43.119 --> 01:07:44.920
will be for all the people who use our products.
1222
01:07:45.280 --> 01:07:48.400
That makes really good sense. In terms of the negative experience,
1223
01:07:48.440 --> 01:07:51.400
I agree. I don't think anyone wants a negative experience
1224
01:07:51.639 --> 01:07:54.880
in the moment. I think where some people get concerned perhaps,
1225
01:07:55.079 --> 01:07:57.400
And I think about my own interactions with say Instagram,
1226
01:07:57.400 --> 01:08:00.639
which I use all the time forgetting information out but
1227
01:08:00.679 --> 01:08:03.239
also consuming information, and I happen to love it. It's
1228
01:08:03.239 --> 01:08:06.800
where I essentially launched the non podcast segment of my
1229
01:08:06.840 --> 01:08:10.880
podcast and continue to. I can think of the experiences
1230
01:08:10.880 --> 01:08:14.599
that are a little bit like highly processed food, where
1231
01:08:14.800 --> 01:08:18.680
it tastes good at the time it's it's highly engrossing,
1232
01:08:19.039 --> 01:08:22.640
but it's not necessarily nutritious, and you don't feel very
1233
01:08:22.640 --> 01:08:26.960
good afterwards. So for me, that would be the little
1234
01:08:26.960 --> 01:08:30.680
collage of default options to click on and Instagram. Occasionally
1235
01:08:30.720 --> 01:08:34.479
I noticed and this just reflects my failure not instagrams
1236
01:08:34.560 --> 01:08:38.079
right that there are a lot of like street fight things,
1237
01:08:38.119 --> 01:08:40.600
like of people beating people up on the
street, and
1238
01:08:40.680 --> 01:08:43.479
I have to say, these have a very strong gravitational pull.
1239
01:08:43.720 --> 01:08:46.199
I'm not somebody that enjoys seeing violence per se, but
1240
01:08:46.720 --> 01:08:48.800
you know, I find myself I'll click on one of
1241
01:08:48.800 --> 01:08:51.079
these like what happened, and I'll see someone like you know,
1242
01:08:51.119 --> 01:08:53.239
get hit and there's like a little melee on the
1243
01:08:53.239 --> 01:08:55.560
street or something. And those seem to be offered to
1244
01:08:55.600 --> 01:08:57.800
me a lot lately, and again this is my fault.
1245
01:08:57.800 --> 01:09:01.520
It reflects my prior searching experience. But I noticed that
1246
01:09:01.680 --> 01:09:05.920
it has a bit of a gravitational pull where you know,
1247
01:09:05.960 --> 01:09:08.000
there's no I didn't learn anything. It's not teaching me
1248
01:09:08.039 --> 01:09:12.319
any kind of useful street self defense skills of any kind.
1249
01:09:13.800 --> 01:09:17.239
And at the same time, I also really enjoy some
1250
01:09:17.279 --> 01:09:19.359
of the cute animal stuff, and so I get a
1251
01:09:19.399 --> 01:09:21.840
lot of those also, So there's this polarized, you know,
1252
01:09:21.920 --> 01:09:25.359
collage that's offered to me that reflects my prior search behavior.
1253
01:09:26.479 --> 01:09:30.479
You could argue that the cute animal stuff is just entertainment,
1254
01:09:30.720 --> 01:09:33.279
but actually it fills me with a feeling in some
1255
01:09:33.359 --> 01:09:35.840
cases that truly delights me. I delight in animals, and
1256
01:09:35.840 --> 01:09:37.640
we're not just talking about kittens. I mean animals I've
1257
01:09:37.680 --> 01:09:41.039
never seen before, Interactions between animals I've never seen before
1258
01:09:41.039 --> 01:09:43.279
that truly delight me. They energize me in a positive
1259
01:09:43.319 --> 01:09:46.199
way that when I leave Instagram, I do think I'm
1260
01:09:46.239 --> 01:09:49.159
better off. So I'm grateful for the algorithm in that sense.
1261
01:09:49.560 --> 01:09:53.600
But I guess the direct question is is the algorithm
1262
01:09:53.960 --> 01:09:56.600
just reflective of what one has been looking at a
1263
01:09:56.640 --> 01:09:59.680
lot prior to that moment where they log on, or
1264
01:09:59.760 --> 01:10:03.159
is it also trying to do exactly what you described,
1265
01:10:03.159 --> 01:10:06.279
which is trying to give people a good feeling experience
1266
01:10:06.319 --> 01:10:08.279
that leads to more good feelings.
1267
01:10:08.960 --> 01:10:10.600
Yeah, I mean, I think we try to do this
1268
01:10:10.640 --> 01:10:13.319
in a long term way, right. I think one simple
1269
01:10:13.359 --> 01:10:17.039
example of this is we had this issue a number
1270
01:10:17.039 --> 01:10:20.800
of years back about clickbait news, right, so articles that
1271
01:10:20.840 --> 01:10:26.560
would have you know, basically a headline that grabbed your attention,
1272
01:10:26.640 --> 01:10:28.039
that made you feel like, oh, I need to click
1273
01:10:28.039 --> 01:10:29.640
on this, and then you click on it, and then
1274
01:10:29.640 --> 01:10:32.119
the article is actually, you know, about something that's somewhat
1275
01:10:32.119 --> 01:10:35.800
tangential to it, but people clicked on it, so, you know,
1276
01:10:35.840 --> 01:10:37.800
the naive version of this stuff, you know, the like
1277
01:10:37.960 --> 01:10:40.159
ten year old version, it was like, oh, people seem
1278
01:10:40.199 --> 01:10:43.159
to be clicking on this. Maybe that's good, but it's
1279
01:10:43.159 --> 01:10:45.960
actually a pretty straightforward exercise to instrument the system to
1280
01:10:46.000 --> 01:10:49.319
realize that, hey, people click on this, and then you know,
1281
01:10:49.399 --> 01:10:52.359
they don't really spend a lot of time reading the
1282
01:10:53.079 --> 01:10:57.279
news that after clicking on it, and after they do
1283
01:10:57.319 --> 01:10:59.880
this a few times, they you know, it doesn't really
1284
01:11:00.039 --> 01:11:02.279
correlate with them, you know, saying that they're having a
1285
01:11:02.319 --> 01:11:06.479
good experience. Some of you. Some of how we measure
1286
01:11:06.520 --> 01:11:10.119
this is just by looking at how people use the services,
1287
01:11:10.159 --> 01:11:13.560
but it's also important to balance that by having like
1288
01:11:13.640 --> 01:11:16.800
real people come in and you tell us, Okay, we
1289
01:11:17.079 --> 01:11:18.560
show them. Here are the stories that we could have
1290
01:11:18.600 --> 01:11:22.840
showed you. Which of these are most meaningful to you
1291
01:11:23.119 --> 01:11:25.159
or would make it so that you have the best experience,
1292
01:11:25.199 --> 01:11:28.319
and just kind of like mapping the algorithm and what
1293
01:11:28.359 --> 01:11:30.239
we do to that ground truth of what people say
1294
01:11:30.239 --> 01:11:33.159
that they want. So I think that through a set
1295
01:11:33.199 --> 01:11:36.560
of things like that, we really have amide large steps
1296
01:11:36.600 --> 01:11:39.279
to minimize things like clickbait. Over time, it's not gone
1297
01:11:39.279 --> 01:11:41.119
from the Internet, but I think we've done a good
1298
01:11:41.199 --> 01:11:45.119
job of minimizing it on our services. Within that though,
1299
01:11:45.880 --> 01:11:47.359
I do think that we need to be pretty careful
1300
01:11:47.359 --> 01:11:51.760
about not being paternalistic about what makes different people feel good. Right, So,
1301
01:11:52.159 --> 01:11:54.800
I mean, I don't know that everyone feels good about
1302
01:11:55.199 --> 01:11:57.520
cute animals, and I can't imagine that people would feel
1303
01:11:57.600 --> 01:11:59.560
really bad about it, but maybe they don't have as profound,
1304
01:11:59.560 --> 01:12:02.319
if a posit set of reaction to it as you
1305
01:12:02.439
--> 01:12:07.119
just expressed. And I don't know, maybe people who are
1306
01:12:07.119 --> 01:12:10.199
more into fighting would look at the street fighting videos
1307
01:12:10.319 --> 01:12:12.359
assuming that they're within our community standards. I think that
1308
01:12:12.399 --> 01:12:14.119
there's a level of violence that we just don't want
1309
01:12:14.119 --> 01:12:16.640
to be showing at all. But that's a separate question.
1310
01:12:17.920 --> 01:12:19.680
But if they are, I mean, then you know, it's like,
1311
01:12:19.760 --> 01:12:22.319
I'm pretty into MMA. I don't get a lot of
1312
01:12:22.359 --> 01:12:24.520
street fighting videos, but if I did, maybe I'd feel
1313
01:12:24.520 --> 01:12:28.319
like I was learning something from that. I think at
1314
01:12:28.399 --> 01:12:31.720
various times in the company's history we've been a little
1315
01:12:31.720 --> 01:12:36.359
bit too paternalistic about saying this is good content, this
1316
01:12:36.439 --> 01:12:40.600
is bad, you should like this, this is unhealthy for you.
1317
01:12:41.119 --> 01:12:44.600
And I think that we want to look at the
1318
01:12:44.640 --> 01:12:46.119
long term effects, so you don't want to get stuck
1319
01:12:46.159 --> 01:12:48.279
in a short term loop of like, Okay, just because
1320
01:12:48.319 --> 01:12:49.960
you did this today doesn't mean it's like what you
1321
01:12:50.159 --> 01:12:54.279
aspire for yourself over time. But I think as long
1322
01:12:54.319 --> 01:12:56.560
as you look at the long term of what people
1323
01:12:56.560 --> 01:12:59.840
both say they want and what they do, giving people
1324
01:12:59.840 --> 01:13:02.000
a fair amount of latitude to like the things that
1325
01:13:02.039 --> 01:13:04.920
they like, I just think feels like the right set
1326
01:13:04.960 --> 01:13:06.079
of values to bring to this.
1327
01:13:07.560 --> 01:13:07.680
Now.
1328
01:13:07.720 --> 01:13:09.479
Of course, that doesn't go for everything. There are things
1329
01:13:09.520 --> 01:13:12.439
that are kind of truly off limits. And you know,
1330
01:13:12.479 --> 01:13:15.920
things that you know like bullying for example, or you
1331
01:13:15.960 --> 01:13:18.479
know things that are really like inciting violence things like that.
1332
01:13:18.520 --> 01:13:20.520
I mean, we have the whole community standards around this,
1333
01:13:21.079 --> 01:13:24.199
but I think except for those things which I would
1334
01:13:24.760 --> 01:13:27.319
hope that most people can agree, Okay, bullying is bad, right,
1335
01:13:27.680 --> 01:13:30.279
I hope that you know, one hundred percent of people
1336
01:13:30.279 --> 01:13:32.279
agree with that, and you know, not one hundred maybe
1337
01:13:32.319 --> 01:13:35.479
ninety nine percent. Except for the things that kind of
1338
01:13:35.520 --> 01:13:41.279
get that sort of very that feel pretty extreme and
1339
01:13:41.319 --> 01:13:43.000
bad like that, I think you want to give people
1340
01:13:43.000 --> 01:13:44.439
space to like what they want to like.
1341
01:13:45.720 --> 01:13:49.399
Yesterday, I had the very good experience of learning from
1342
01:13:49.399 --> 01:13:52.359
the Meta team about safety protections that are in place
1343
01:13:52.399 --> 01:13:58.039
for kids who are using meta platforms, and frankly, I
1344
01:13:58.119 --> 01:14:02.079
was like really positively surprised at the huge number of
1345
01:14:02.800 --> 01:14:07.880
filter based tools and just ability to customize the experience
1346
01:14:07.880 --> 01:14:10.720
so that it can stand the best chance of enriching
1347
01:14:10.840 --> 01:14:15.680
not just remaining neutral, but enriching their mental health status.
1348
01:14:16.359 --> 01:14:19.439
One thing that came about in that conversation, however, was
1349
01:14:20.239 --> 01:14:23.600
I realized that all these tools, but do people really
1350
01:14:23.600 --> 01:14:25.359
know that these tools exist? And I think about my
1351
01:14:25.359 --> 01:14:29.840
own experience with Instagram. I love watching Adamisari's Friday Q
1352
01:14:30.000 --> 01:14:32.439
and A's because he explains a lot of the tools
1353
01:14:33.000 --> 01:14:38.079
that I didn't know existed, and people haven't seen that,
1354
01:14:38.079 --> 01:14:40.960
I highly recommend that they watch that. I think every
1355
01:14:41.119 --> 01:14:43.880
takes questions on Thursdays and answers them most every Fridays.
1356
01:14:45.159 --> 01:14:48.239
So if I'm not aware of the tools without watching
1357
01:14:48.279 --> 01:14:53.479
that that exists for adults, how does meta look at
1358
01:14:53.479 --> 01:14:55.439
the challenge of making sure that people know that they're
1359
01:14:55.479 --> 01:14:57.800
all these tools? I mean dozens and dozens of very
1360
01:14:57.880 --> 01:14:59.760
useful tools. But I think most of us just know
1361
01:14:59.840 --> 01:15:05.560
that hashtag, the tag, the click stories versus feed. We
1362
01:15:05.640 --> 01:15:08.159
now know that you know I also post to threads.
1363
01:15:08.199 --> 01:15:10.479
I mean, so we know the major channels and tools.
1364
01:15:11.000 --> 01:15:13.560
But this is like owning a vehicle that has incredible
1365
01:15:13.600 --> 01:15:16.920
features that one doesn't realize can take you off road,
1366
01:15:17.000 --> 01:15:19.159
can allow your vehicle to fly. I mean, there's a
1367
01:15:19.199 --> 01:15:22.000
lot there. So what could what do you think could
1368
01:15:22.000 --> 01:15:24.079
be done to get that information out? Maybe this conversation
1369
01:15:24.199 --> 01:15:26.199
could cue people to I mean that's.
1370
01:15:26.079 --> 01:15:27.800
As part part of the reason why I wanted to
1371
01:15:28.079 --> 01:15:29.560
talk to you about this is, I mean, I think
1372
01:15:29.600 --> 01:15:33.640
most of the narrative around social media is not okay,
1373
01:15:33.680 --> 01:15:36.399
all the different tools that people
have to control their experience,
1374
01:15:36.479 --> 01:15:39.560
it's you know, the kind of narrative of is this
1375
01:15:39.800 --> 01:15:43.239
just negative for for for teens or something, and and
1376
01:15:43.319 --> 01:15:44.880
I think again a lot of this comes down to,
1377
01:15:45.119 --> 01:15:48.399
you know, do you know how is the experience being
1378
01:15:48.439 --> 01:15:51.520
tuned and is it actually you know, like, are people
1379
01:15:51.600 --> 01:15:53.880
using it to connect in positive ways? And if so,
1380
01:15:53.920 --> 01:15:57.439
I think it's really positive. So yeah, I mean I
1381
01:15:57.439 --> 01:15:59.399
think part of this is we probably just need to
1382
01:15:59.399 --> 01:16:02.399
get out and talk to people more about it. And
1383
01:16:02.439 --> 01:16:05.239
then there's an in product aspect, which is, you know,
1384
01:16:05.279 --> 01:16:08.119
if you're a team and you sign up, we take
1385
01:16:08.119 --> 01:16:12.960
you through a pretty you know, extensive experience that tries
1386
01:16:13.000 --> 01:16:15.920
to outline some of this, but that is limits too, right,
1387
01:16:15.960 --> 01:16:18.399
because when you sign up for a new thing, if
1388
01:16:18.439 --> 01:16:21.560
you're bombarded with like here's a list of features, you're like, okay,
1389
01:16:21.600 --> 01:16:23.960
I just sign up for this. I don't really understand
1390
01:16:24.000 --> 01:16:26.039
much about what the services like let me go find
1391
01:16:26.079 --> 01:16:29.359
some people to follow, who are my friends on here?
1392
01:16:29.479 --> 01:16:32.640
Before I like learn about controls to prevent people from
1393
01:16:33.119 --> 01:16:36.880
harassing me or something. That's why I think it's really
1394
01:16:36.920 --> 01:16:41.520
important to also show a bunch of these tools in context,
1395
01:16:41.840 --> 01:16:46.119
so you know, if you're looking at comments and you know,
1396
01:16:46.199 --> 01:16:48.119
if you if you go to you know, delete a
1397
01:16:48.159 --> 01:16:51.239
comment or you go to edit something, you know, try
1398
01:16:51.239 --> 01:16:53.199
to give people prompts in line that's like, hey, did
1399
01:16:53.239 --> 01:16:55.640
you know that you can manage things in these ways
1400
01:16:56.479 --> 01:16:58.560
around that? Or when you're in the inbox and you're
1401
01:16:58.640 --> 01:17:02.680
filtering something, right, it's remind people in line. So not
1402
01:17:03.279 --> 01:17:05.479
just because of the number of people who use the
1403
01:17:05.520 --> 01:17:08.359
products and the level of nuance around each to the controls,
1404
01:17:08.439 --> 01:17:13.000
I think the vast majority of that education I think
1405
01:17:13.359 --> 01:17:15.600
needs to happen in the product. But I do think
1406
01:17:15.640 --> 01:17:18.880
that through conversations like this and others that you know
1407
01:17:18.920 --> 01:17:22.000
we need to be doing, we can create a broader
1408
01:17:22.600 --> 01:17:25.000
awareness that those things exist. So that way, at least
1409
01:17:25.000 --> 01:17:27.439
people are primed. So that way, when those things pop
1410
01:17:27.520 --> 01:17:28.960
up in the product, people like, oh, yeah, like I
1411
01:17:29.039 --> 01:17:31.479
knew that there was this control and like here's here's
1412
01:17:31.600 --> 01:17:32.680
like how I would use that.
1413
01:17:33.479 --> 01:17:35.880
Like I find the restrict function to be very useful
1414
01:17:36.680 --> 01:17:39.680
more than the block function in most cases. I do sometimes,
1415
01:17:40.399 --> 01:17:42.279
but the restrict function is really useful that you could
1416
01:17:42.439 --> 01:17:45.880
filter specific comments you know someone might have it. You
1417
01:17:45.960 --> 01:17:48.119
might recognize that someone has a tendency to be a
1418
01:17:48.159 --> 01:17:50.239
little aggressive, and I should point out that I actually
1419
01:17:50.239 --> 01:17:51.800
don't really mind what people say to me, but I
1420
01:17:51.800 --> 01:17:54.520
try and maintain what I call classroom rules in my
1421
01:17:54.600 --> 01:17:56.760
comment section, where I don't like people attacking other people
1422
01:17:56.800 --> 01:17:59.079
because I would never tolerate that in the university classroom.
1423
01:17:59.079 --> 01:18:01.479
I'm not going to tolerate them comment section for instance.
1424
01:18:01.640 --> 01:18:03.600
Yeah, and I think that the example that you just
1425
01:18:04.880 --> 01:18:07.640
you just used about restrict versus block gets to something
1426
01:18:07.680 --> 01:18:11.560
about product design that's important too, which is that block
1427
01:18:11.840 --> 01:18:15.479
is sort of this very powerful tool that if someone
1428
01:18:15.560 --> 01:18:16.960
is giving you a hard time and you just want
1429
01:18:16.960 --> 01:18:19.039
them to disappear from the experience, you can do it.
1430
01:18:19.640 --> 01:18:24.199
But the design trade off with that is that in
1431
01:18:24.279 --> 01:18:25.920
order to make it so that the person is just
1432
01:18:26.000 --> 01:18:31.000
gone from the experience and that you don't show up
1433
01:18:31.000 --> 01:18:33.840
to them, they don't show up to you. Inherent to
1434
01:18:33.880 --> 01:18:36.479
that is that they will have a sense that you
1435
01:18:36.560 --> 01:18:39.920
block them. And that's why I think some stuff like
1436
01:18:40.000 --> 01:18:42.279
restrict or just filtering, like I just don't want to
1437
01:18:42.279 --> 01:18:45.199
see as much stuff about this topic. You know, people
1438
01:18:45.439 --> 01:18:48.520
like using different tools for very subtle reasons, right, I mean,
1439
01:18:48.560 --> 01:18:51.199
maybe maybe you want the content to not show up,
1440
01:18:51.760 --> 01:18:54.079
but you don't want the person who's posting the content
1441
01:18:54.119 --> 01:18:55.720
to know that you don't want it to show up.
1442
01:18:56.239 --> 01:18:57.720
Maybe you don't want to get the messages in your
1443
01:18:57.720 --> 01:18:59.640
main inbox, but you don't want to tell the person
1444
01:18:59.680 --> 01:19:02.680
that you like that you actually you know you're that
1445
01:19:02.720 --> 01:19:04.760
you're not friends or something like that. I mean, you
1446
01:19:04.920 --> 01:19:07.600
actually need to give people different tools that have different
1447
01:19:07.680 --> 01:19:12.359
levels of kind of power and nuance around how the
1448
01:19:12.399 --> 01:19:16.039
social dynamics are on using them play out in order
1449
01:19:16.119 --> 01:19:18.560
to really allow people to tailor the experience and the
1450
01:19:18.560 --> 01:19:19.319
ways that they want.
1451
01:19:19.800 --> 01:19:22.760
In terms of trying to limit total amount of time
1452
01:19:23.000 --> 01:19:27.840
on social media, I couldn't find really good data on this.
1453
01:19:29.000 --> 01:19:31.039
You know, how much time is too much? I mean,
1454
01:19:31.159 --> 01:19:33.079
I think it's going to depend on what one is
1455
01:19:33.119 --> 01:19:35.560
looking at, the age of the user, et cetera. But
1456
01:19:35.640 --> 01:19:40.039
I note that you have tools that queue the user
1457
01:19:40.119 --> 01:19:43.359
to how long they've been on a given platform. Are
1458
01:19:43.399 --> 01:19:46.399
there tools to self regulate like I'm thinking about like
1459
01:19:46.479 --> 01:19:48.800
the Greek myth of the sirens and you know people
1460
01:19:48.920 --> 01:19:51.000
you know, tying themselves to the mast and covering their
1461
01:19:51.000 --> 01:19:53.000
eyes so that they're not drawn in by the sirens.
1462
01:19:53.239 --> 01:19:56.159
Is there a function aside from deleting the app temporarily
1463
01:19:56.359 --> 01:19:58.840
and then reinstalling it every every time you want to
1464
01:19:58.920 --> 01:20:02.119
use it again, is there a true lockout self lockout
1465
01:20:02.159 --> 01:20:04.800
function where one can lock themselves out of access to
1466
01:20:04.840 --> 01:20:05.239
the app?
1467
01:20:05.960 --> 01:20:08.000
Well, I think we give people tools that let them
1468
01:20:08.239 --> 01:20:11.079
manage this, and and there's the tools that you get
1469
01:20:11.079 --> 01:20:12.800
to use them. There's the tools that the parents get
1470
01:20:12.840 --> 01:20:17.279
to use to basically see how the usage works. But yeah,
1471
01:20:17.279 --> 01:20:19.640
I think that there's there's different kind of and I
1472
01:20:19.640 --> 01:20:23.000
think for now we've mostly focused on helping people understand
1473
01:20:23.039 --> 01:20:25.600
this and then give people reminders and things like that.
1474
01:20:27.600 --> 01:20:31.960
It's tough, though, to answer the question that you were
1475
01:20:31.960 --> 01:20:34.119
talking about before this is there an amount of time
1476
01:20:34.159 --> 01:20:36.760
which is too much because it does really get
to
1477
01:20:36.760 --> 01:20:40.359
what you're doing. But if you fast forward beyond just
1478
01:20:40.399 --> 01:20:43.279
the apps that we have today to an experience that
1479
01:20:43.560 --> 01:20:46.479
there's like a social experience in the future of the
1480
01:20:46.520 --> 01:20:50.479
augmented reality glasses or something that we're building, a lot
1481
01:20:50.479 --> 01:20:54.199
of this is going to be. You know, you're interacting
1482
01:20:54.199 --> 01:20:57.439
with people in the way that you would physically as
1483
01:20:57.560 --> 01:20:59.359
if you were kind of like hang out with friends
1484
01:20:59.479 --> 01:21:03.680
or working with people, but now they can show up
1485
01:21:03.680 --> 01:21:05.840
as holograms and you can feel like you're present right
1486
01:21:05.840 --> 01:21:09.000
there with them, no matter where they actually are, and
1487
01:21:09.039 --> 01:21:12.000
the question is is there too much time to spend
1488
01:21:12.079 --> 01:21:15.439
interacting with people like that? Well, at the limit, if
1489
01:21:15.479 --> 01:21:18.079
we can get that experience to be kind of as
1490
01:21:18.199 --> 01:21:20.600
rich and giving you as good of a sense of
1491
01:21:20.680 --> 01:21:24.720
presence as you would have if you were physically there
1492
01:21:24.760 --> 01:21:28.279
with someone, then I don't see why you would want
1493
01:21:28.319 --> 01:21:31.359
to restrict the amount that people use that technology to
1494
01:21:31.479 --> 01:21:35.239
any less than what would be the amount of time
1495
01:21:35.319 --> 01:21:39.439
that you'd be comfortable interacting with people physically, which obviously
1496
01:21:39.520 --> 01:21:40.840
is not gonna be twenty four hours a day. You
1497
01:21:40.880 --> 01:21:43.640
have to do other stuff, you have work, you need
1498
01:21:43.680 --> 01:21:46.159
to sleep. But I think it really gets to kind
1499
01:21:46.159 --> 01:21:48.560
of how you're using these things. Whereas if what you're
1500
01:21:48.680 --> 01:21:51.880
primarily using the services for is to you know, you're
1501
01:21:51.920 --> 01:21:56.039
getting stuck in loops reading news or something that is
1502
01:21:56.079 --> 01:21:58.319
really kind of getting you into a negative mental state,
1503
01:21:58.840 --> 01:22:01.159
then I don't know. I mean, I think that there's
1504
01:22:01.159 --> 01:22:03.640
probably a relatively short period of time that maybe that's
1505
01:22:04.039 --> 01:22:05.680
kind of a good thing that you want to be doing.
1506
01:22:06.640 --> 01:22:08.880
But again, even then, it's not zero, right because it's
1507
01:22:09.760 --> 01:22:12.079
just because news might make you unhappy doesn't mean that
1508
01:22:12.119 --> 01:22:14.279
the answer is to be unaware of negative things that
1509
01:22:14.319 --> 01:22:15.960
are happening in the world. I just think that there's
1510
01:22:16.000 --> 01:22:19.119
like different people have different tolerances for what they can
1511
01:22:19.520 --> 01:22:21.479
take on that, and I think we, you know, it's
1512
01:22:21.560 --> 01:22:24.800
generally having some awareness is probably good as long as
1513
01:22:24.840 --> 01:22:27.479
it's not more than you're kind of constitutionally able to take.
1514
01:22:27.960 --> 01:22:30.479
So I don't know. I try to not be too
1515
01:22:30.720 --> 01:22:34.319
paternalistic about this as our approach, but we want to
1516
01:22:34.359 --> 01:22:37.960
empower people by giving them the tools, both people and
1517
01:22:38.039 --> 01:22:41.079
if you're a tea and your parents, to have tools
1518
01:22:41.079 --> 01:22:44.520
to understand what you're experiencing and what the and how
1519
01:22:44.520 --> 01:22:46.720
you're using these things and then go from there.
1520
01:22:47.119 --> 01:22:49.600
Yeah, I think it requires all of us some degree
1521
01:22:49.600 --> 01:22:51.800
of self regulation. I like this idea of not being
1522
01:22:51.840 --> 01:22:54.359
too paternalistic. I mean, that's it seems like the right
1523
01:22:54.399 --> 01:22:57.359
way to go. I find myself occasionally having to make
1524
01:22:57.359 --> 01:23:00.640
sure that I'm not just passively scrolling, that I'm learning.
1525
01:23:00.840 --> 01:23:04.840
I like forging for organizing and dispersing information. That's been
1526
01:23:04.880 --> 01:23:08.560
my life's career. So I've learned so much from social media.
1527
01:23:08.560 --> 01:23:12.359
I find great papers, great ideas. I think comments are
1528
01:23:12.359 --> 01:23:14.359
a great source of feedback. And I'm not just saying
1529
01:23:14.359 --> 01:23:17.159
that because you're sitting here I mean Instagram in particular,
1530
01:23:17.239 --> 01:23:20.720
but other metal platforms have been tremendously helpful for me
1531
01:23:20.760 --> 01:23:23.760
to get science and health information out. One of the
1532
01:23:23.760 --> 01:23:26.960
things that I'm really excited about, which I only had
1533
01:23:27.000 --> 01:23:29.560
the chance to try for the first time today, is
1534
01:23:29.920 --> 01:23:33.640
your new VR platforms, the newest Oculus, And then we
1535
01:23:33.640 --> 01:23:36.640
can talk about the glasses, the ray bands. Those are
1536
01:23:36.640 --> 01:23:40.079
still those two experiences are still kind of blowing my mind,
1537
01:23:40.439 --> 01:23:44.880
especially the the the ray band glasses. And I have
1538
01:23:44.880 --> 01:23:46.760
so many questions about this, so I'll resist, but.
1539
01:23:48.039 --> 01:23:48.720
We've got into that.
1540
01:23:48.800 --> 01:23:51.039
Okay, Well, yeah, I have some experience with VR. My
1541
01:23:51.119 --> 01:23:55.600
lab has used VR. Jeremy Bailenson's lab at Stanford is
1542
01:23:55.600 --> 01:23:58.399
one of the pioneering labs of VR and mixed reality.
1543
01:23:58.520 --> 01:24:00.640
I guess something used to call it augmented reality, but
1544
01:24:00.680 -->
01:24:03.319
now mixed reality. I think what's so striking about the
1545
01:24:03.399 --> 01:24:07.479
VR that you guys had me try today is how
1546
01:24:07.479 --> 01:24:10.279
well it interfaces with the with the real room, let's
1547
01:24:10.279 --> 01:24:13.279
call it the physical room. I could still see people,
1548
01:24:13.399 --> 01:24:15.159
I could see where the furniture was so it wasn't
1549
01:24:15.159 --> 01:24:17.359
gonna bump into anything. I could see people's smiles, I
1550
01:24:17.359 --> 01:24:20.920
could see my my, my water on the table while
1551
01:24:21.000 --> 01:24:24.880
I was doing this what felt like a real martial
1552
01:24:24.960 --> 01:24:27.800
arts experience, except I wasn't getting hit while I was
1553
01:24:27.840 --> 01:24:33.079
getting hit virtually. But it's extremely engaging and yet it
1554
01:24:33.720 --> 01:24:36.960
on the good side of things, it really bypasses a
1555
01:24:36.960 --> 01:24:39.479
lot of the early concerns that Balin's in Lab. Again,
1556
01:24:39.880 --> 01:24:41.800
Jeremy's Lab was early to say that, oh, you know,
1557
01:24:41.800 --> 01:24:43.920
there's a limit how much of VR one can or
1558
01:24:43.960 --> 01:24:48.319
should use each day, even for the adult brain, because
1559
01:24:48.720 --> 01:24:52.199
it can really disrupt your vestibular system, your sense of balance.
1560
01:24:52.520 --> 01:24:54.159
All of that seems to have been dealt with in
1561
01:24:54.239 --> 01:24:56.960
this this new iteration of VR, like it didn't come
1562
01:24:56.960 --> 01:24:58.560
out of it feeling dizzy at all. I didn't feel
1563
01:24:58.560 --> 01:25:00.279
like I was re entering the room in a way
1564
01:25:00.319 --> 01:25:03.159
that was really jarring going into it as obviously as whoa,
1565
01:25:03.199 --> 01:25:06.399
this is a different world. But you can look to
1566
01:25:06.439 --> 01:25:08.560
your left and say, oh, someone just came in the door. Hey,
1567
01:25:08.600 --> 01:25:10.159
how's it going. Hold on and playing this game, just
1568
01:25:10.199 --> 01:25:11.520
as it was when I was a kid playing in
1569
01:25:11.640 --> 01:25:14.319
Nintendo and someone walk in. It's fully engrossing, but you'd
1570
01:25:14.319 --> 01:25:15.880
be like, hold on and you see they're there. So,
1571
01:25:16.319 --> 01:25:22.920
first of all, bravo, incredible and then the next question is,
1572
01:25:22.960 --> 01:25:25.239
you know, what is this what do we even call
1573
01:25:25.319 --> 01:25:28.800
this experience? Because it is truly mixed It's a truly
1574
01:25:28.840 --> 01:25:30.079
mixed reality experience.
1575
01:25:30.359 --> 01:25:32.920
Yeah, I mean mixed realities is sort of the umbrella
1576
01:25:33.000 --> 01:25:37.000
term that refers to the combined experience of virtual and
1577
01:25:37.039 --> 01:25:40.920
augmented reality. So augmented reality is you know what you're
1578
01:25:40.960 --> 01:25:43.479
eventually going to get with you know, some future version
1579
01:25:43.479 --> 01:25:47.399
of the smart glasses where you're primarily seeing the world, right,
1580
01:25:47.439 --> 01:25:51.119
but you can put holograms in it, right, So that
1581
01:25:51.319 --> 01:25:54.520
will have a future where you're going to walk into
1582
01:25:54.520 --> 01:25:57.159
a room and they're gonna be like as many holograms
1583
01:25:57.239 --> 01:25:58.800
as as physical objects.
1584
01:25:58.880 --> 01:25:58.960
Right.
1585
01:25:59.000 --> 01:26:01.399
If you just think about like the paper, the kind
1586
01:26:01.399 --> 01:26:04.479
of art, physical games, media, your workstation, and we.
1587
01:26:04.560 --> 01:26:06.520
Refer to it, let's say in mma, if we could
1588
01:26:06.720 --> 01:26:08.159
draw it up on the table right here and just
1589
01:26:08.159 --> 01:26:10.199
see it repeat, as opposed to us turning and looking
1590
01:26:10.199 --> 01:26:10.640
at a screen.
1591
01:26:10.680 --> 01:26:12.840
I mean pretty much any screen that exists could be
1592
01:26:12.880 --> 01:26:15.880
a hologram in the future with smart glasses, right, there's
1593
01:26:15.880 --> 01:26:18.640
nothing that actually physically needs to be there for that.
1594
01:26:18.680 --> 01:26:22.399
When you have glasses that can put a hologram there,
1595
01:26:22.680 --> 01:26:24.880
and it's an interesting thought experiment to just go around
1596
01:26:24.920 --> 01:26:26.680
and think about, Okay, what of the things that are
1597
01:26:26.680 --> 01:26:29.520
physical in the world need to actually be physical? And
1598
01:26:29.680 --> 01:26:31.439
your chair does right because you're sitting on it. A
1599
01:26:31.439 --> 01:26:33.920
hologram isn't going to support you. But I like that
1600
01:26:34.079 --> 01:26:35.800
art on the wall. I mean that doesn't need to
1601
01:26:36.079 --> 01:26:41.479
physically be there. I mean, so I think that's that's
1602
01:26:41.520 --> 01:26:44.399
sort of the augmented reality experience that we're moving towards.
1603
01:26:44.920 --> 01:26:48.760
And then we've had these headsets that historically we think
1604
01:26:48.760 --> 01:26:52.880
about as VR, and that has been something that kind
1605
01:26:52.880 --> 01:26:57.239
of it's like a fully immersive experience. But now we're
1606
01:26:57.279 --> 01:26:59.079
kind of getting something that's a hybrid in between the
1607
01:26:59.079 --> 01:27:01.640
two and capable both, which is a headset that can
1608
01:27:01.680 --> 01:27:05.800
do both virtual reality and some of these augmented reality experiences.
1609
01:27:06.319 --> 01:27:09.920
And I think that's really powerful, both because you're going
1610
01:27:10.000 --> 01:27:13.159
to get new applications that that kind of allow people
1611
01:27:13.199 --> 01:27:15.720
to collaborate together and you know, maybe the two of
1612
01:27:15.800 --> 01:27:18.359
us are here physically, but you know, someone joins us
1613
01:27:18.399 --> 01:27:20.800
and
it's their avatar there, or maybe you know it's
1614
01:27:20.800 --> 01:27:23.119
some version of the future like we're having a you know,
1615
01:27:23.159 --> 01:27:24.760
you're having a team meeting and you have some people
1616
01:27:24.800 --> 01:27:27.359
there physically, and you have some people dialing in and
1617
01:27:27.399 --> 01:27:29.600
they're basically like a hologram there virtually. But then you
1618
01:27:29.600 --> 01:27:32.319
also have some ai is that personas that are on
1619
01:27:32.359 --> 01:27:34.039
your team that are helping you do different things and
1620
01:27:34.079 --> 01:27:36.199
they can be embodied as avatars and around the table
1621
01:27:36.239 --> 01:27:36.720
meeting with you.
1622
01:27:36.960 --> 01:27:39.119
Are people going to be doing first dates that are
1623
01:27:39.560 --> 01:27:42.880
physically separated. I could imagine that some people would is
1624
01:27:42.880 --> 01:27:44.920
it even worth leaving the house type date? And then
1625
01:27:44.960 --> 01:27:46.680
they find out and then they meet for the first time.
1626
01:27:47.319 --> 01:27:50.960
I mean maybe I think I think, you know, dating
1627
01:27:51.159 --> 01:27:54.920
has physical aspects to it too, so some.
1628
01:27:54.880 --> 01:27:56.800
People might not be they want to know whether or
1629
01:27:56.840 --> 01:27:59.319
not it's worth the effort to head out to what not.
1630
01:28:00.159 --> 01:28:03.720
You know, it is possible. I mean, I know, like
1631
01:28:03.760 --> 01:28:09.640
a some of my friends who are dating basically say
1632
01:28:09.680 --> 01:28:11.359
that in order to make sure that they have like
1633
01:28:11.359 --> 01:28:13.840
a safe experience, and when they're if they're going on
1634
01:28:13.920 --> 01:28:17.439
a first date, they'll schedule something that's like shorter and
1635
01:28:17.479 --> 01:28:18.800
maybe in the middle of the day, like so maybe
1636
01:28:18.800 --> 01:28:20.600
it's coffee, so that way, if they don't like the person,
1637
01:28:20.640 --> 01:28:22.760
they can just kind of get out before like going
1638
01:28:22.760 --> 01:28:24.840
and scheduling a dinner or like a real full date.
1639
01:28:25.079 --> 01:28:26.840
So I don't know. Maybe in the future people will
1640
01:28:26.880 --> 01:28:28.920
will kind of have that experience so where you can
1641
01:28:29.000 --> 01:28:31.800
feel like you're kind of sitting there and it's and
1642
01:28:31.840 --> 01:28:34.560
it's even easier and lighter weight and safer, and if
1643
01:28:34.560 --> 01:28:36.319
you're not having a good experience, you can just like
1644
01:28:36.920 --> 01:28:41.119
teleport out of there and beyond. But yeah, I think
1645
01:28:41.159 --> 01:28:43.239
that this will be an interesting question in the future.
1646
01:28:43.560 --> 01:28:47.000
Is there are clearly a lot of things that are
1647
01:28:47.039 --> 01:28:52.319
only possible physically that or so much better physically, and
1648
01:28:52.359 --> 01:28:53.880
then there are all these things that we're building up
1649
01:28:53.880 --> 01:28:58.159
that can be digital experiences. But it's this weird artifact
1650
01:28:58.239 --> 01:29:00.640
of kind of how the stuff has been developed that
1651
01:29:01.079 --> 01:29:03.640
the digital world and the physical world exists in these
1652
01:29:03.680 --> 01:29:06.000
like completely different planes. Or you want to interact with
1653
01:29:06.039 --> 01:29:07.840
the digital world, well we do it all the time,
1654
01:29:07.880 --> 01:29:09.600
but we pull out a small screen or we have
1655
01:29:09.640 --> 01:29:11.800
a big screen and just basically we're interacting with the
1656
01:29:11.840 --> 01:29:15.319
digital world through these screens. But I think we fast
1657
01:29:15.399 --> 01:29:19.960
forward a decade or more. It's I think one of
1658
01:29:19.960 --> 01:29:24.239
the really interesting questions about what, like what is the
1659
01:29:24.279 --> 01:29:25.560
world that we're going to live in. I think it's
1660
01:29:25.560 --> 01:29:27.880
going to increasingly be this mesh of the physical and
1661
01:29:27.920 --> 01:29:31.600
digital worlds that will allow us to feel a that
1662
01:29:31.880 --> 01:29:34.279
the world that we're in is just a lot richer
1663
01:29:34.279 --> 01:29:36.119
because there can be all these things that people create
1664
01:29:36.119 --> 01:29:38.640
that are just so much easier to do digitally than physically.
1665
01:29:40.119 --> 01:29:45.119
But you're going to have a real kind of physical
1666
01:29:45.159 --> 01:29:47.840
sense of presence with these things and not feel like
1667
01:29:47.880 --> 01:29:50.840
interacting in the digital world is taking you away from
1668
01:29:51.079 --> 01:29:53.760
the physical world, which today is just so much viscerally
1669
01:29:53.880 --> 01:29:56.920
richer and more powerful. I think the digital world will
1670
01:29:56.960 --> 01:30:01.199
sort of be embedded in that and and will feel
1671
01:30:01.319 --> 01:30:03.079
kind of just as vivid in a lot of ways.
1672
01:30:03.119 --> 01:30:05.039
So that's why I always think when you were saying
1673
01:30:05.079 --> 01:30:07.000
before you know, you felt like you could look around
1674
01:30:07.000 --> 01:30:09.640
and see the real room, I actually think that there's
1675
01:30:09.680 --> 01:30:12.840
an interesting kind of philosophical distinction between the real room
1676
01:30:12.880 --> 01:30:16.079
and the physical room, which you know, historically, I think
1677
01:30:16.079 --> 01:30:18.520
people would have said those are the same thing. But
1678
01:30:18.520 --> 01:30:21.039
I actually think in the future, the real room is
1679
01:30:21.079 --> 01:30:23.680
going to be the combination of the physical world with
1680
01:30:23.760 --> 01:30:26.199
all the digital artifacts and objects that are in there
1681
01:30:26.199 --> 01:30:28.560
that you can interact with them
and feel present, whereas
1682
01:30:28.560 --> 01:30:30.840
the physical world is just the part that's physically there
1683
01:30:31.319 --> 01:30:33.159
and I think it's possible to build a real world
1684
01:30:33.239 --> 01:30:35.000
that's the sum of these too, that will actually be
1685
01:30:35.680 --> 01:30:37.760
a more profound experience than what we have today.
1686
01:30:38.479 --> 01:30:41.199
I was struck by the smoothness of the interface between
1687
01:30:41.199 --> 01:30:44.079
the VR and the physical room. Your team had me
1688
01:30:44.159 --> 01:30:48.079
try a I guess it was an exercise class in
1689
01:30:48.119 --> 01:30:51.359
the Formum book. It was like, essentially like hitting MIT's boxing,
1690
01:30:51.479 --> 01:30:54.840
so hitting targets boxing natural. Yeah, and it comes at
1691
01:30:54.840 --> 01:30:56.920
a fairly fast pace that then picks up. It's got
1692
01:30:56.960 --> 01:30:59.720
some tutorial It's very easy to use, and certainly got
1693
01:30:59.720 --> 01:31:02.600
my heart right up. I'm in at least decent shape,
1694
01:31:02.880 --> 01:31:06.239
and I have to be honest, I never once desired
1695
01:31:06.239 --> 01:31:08.640
to do any of these on screen fitness things. I mean,
1696
01:31:08.680 --> 01:31:11.520
I can't think of anything more aversive than like like
1697
01:31:11.560 --> 01:31:15.000
a clap, like I don't want to insult any particular products,
1698
01:31:15.560 --> 01:31:17.920
but like riding a stationary bike while looking at a
1699
01:31:17.960 --> 01:31:20.119
screen and pretending I'm on a road outside. I can't
1700
01:31:20.119 --> 01:31:21.439
think of anything worse for me.
1701
01:31:22.600 --> 01:31:26.279
Maybe, okay, maybe I'm just a very competitive person. It's like,
1702
01:31:26.279 --> 01:31:28.399
if you're going to be running on a treadmill, at
1703
01:31:28.479 --> 01:31:30.359
least give me a leaderboard so I can beat the
1704
01:31:30.399 --> 01:31:31.319
people who are ahead of me.
1705
01:31:31.439 --> 01:31:34.840
I like moving outside, and certainly an exercise class or
1706
01:31:34.880 --> 01:31:37.800
aerobics class as they used to call them. But what
1707
01:31:37.840 --> 01:31:41.600
the experience I tried today was extremely engaging. And I've
1708
01:31:41.640 --> 01:31:44.479
done enough boxing to at least know how to do
1709
01:31:44.520 --> 01:31:46.279
a little bit of it, and I really enjoyed it
1710
01:31:46.279 --> 01:31:48.359
gets your heart rate up and you I completely forgot
1711
01:31:48.359 --> 01:31:51.600
that I was doing an on screen experience because in
1712
01:31:51.680 --> 01:31:55.880
part because I believe I was still in that physical room,
1713
01:31:56.359 --> 01:31:59.720
and I think there's something about the mesh of the
1714
01:31:59.720 --> 01:32:05.119
physical room and the virtual experience that makes it in
1715
01:32:05.119 --> 01:32:07.159
either of one world or the other. I mean, I
1716
01:32:07.199 --> 01:32:09.840
really felt at the interface of those and certainly got
1717
01:32:09.840 --> 01:32:12.000
presence this feeling of forgetting that I was in a
1718
01:32:12.039 --> 01:32:14.960
virtual experience and got my heart rate up pretty quickly.
1719
01:32:14.960 --> 01:32:16.600
We had to stop because we were going to start recording,
1720
01:32:16.600 --> 01:32:18.479
but I would do that for a good forty five
1721
01:32:18.520 --> 01:32:21.279
minutes in the morning. And there's no amount of money
1722
01:32:21.319 --> 01:32:24.359
you could pay me, truly to look at a screen
1723
01:32:24.399 --> 01:32:26.359
while peddling on a bike or running on a treadmill.
1724
01:32:26.720 --> 01:32:29.520
So again, Bravo, I think it's gonna be very useful.
1725
01:32:29.520 --> 01:32:31.800
It's going to get people moving their bodies more, which
1726
01:32:32.119 --> 01:32:35.880
certainly social media up until now and a lot of
1727
01:32:35.880 --> 01:32:40.680
technologies have been accused of limiting the amount of physical
1728
01:32:40.680 --> 01:32:43.680
activity that both children and adults are engaged in. So,
1729
01:32:43.920 --> 01:32:46.079
and we know we need physical activity. You're a big
1730
01:32:46.439 --> 01:32:49.560
proponent of and practitioner physical activity. So is this a
1731
01:32:49.600 --> 01:32:52.800
major goal of Meta? Get people moving their bodies more
1732
01:32:53.359 --> 01:32:56.000
and getting their heart rates up and so on.
1733
01:32:57.079 --> 01:32:59.119
I think we want to enable it, and I think
1734
01:32:59.159 --> 01:33:03.720
it's good. I think it comes more from like a
1735
01:33:03.800 --> 01:33:09.560
philosophical view of the world than it is necessarily. I mean,
1736
01:33:09.680 --> 01:33:12.399
I don't go into building products to try to shape
1737
01:33:12.399 --> 01:33:16.199
people's behavior, right. I believe in empowering people to you know,
1738
01:33:16.920 --> 01:33:20.319
do what they want and be the best version of
1739
01:33:20.359 --> 01:33:21.319
themselves that they can be.
1740
01:33:21.560 --> 01:33:22.439
It's no agenda.
1741
01:33:23.119 --> 01:33:26.439
That said, I do believe that. I think there's the
1742
01:33:26.680 --> 01:33:30.560
previous generation of computers where devices for your mind, and
1743
01:33:30.760 --> 01:33:34.640
I think that we are not brains and tanks. You know.
1744
01:33:34.680 --> 01:33:37.680
It's like that there's sort of a philosophical view of
1745
01:33:37.720 --> 01:33:41.640
people of like, Okay, you you are primarily you know,
1746
01:33:41.640 --> 01:33:44.159
what you think about or your values or something. It's like, no,
1747
01:33:44.600 --> 01:33:48.199
you are that, and you are a physical manifestation and
1748
01:33:48.399 --> 01:33:52.439
people were very physical, and I think building a computer
1749
01:33:54.000 --> 01:33:57.880
for your whole body and not just for your mind
1750
01:33:58.880 --> 01:34:02.880
is very fitting
with this worldview that like the actual
1751
01:34:03.000 --> 01:34:04.920
essence of you, if you want to be present with
1752
01:34:04.960 --> 01:34:07.359
another person, if you want to like be fully engaged
1753
01:34:07.399 --> 01:34:10.840
in experience, is not just okay, it's not just a
1754
01:34:11.359 --> 01:34:13.960
video conference call that looks at your face and where
1755
01:34:13.960 --> 01:34:17.960
you can like share ideas. It's it's something that that
1756
01:34:18.000 --> 01:34:20.319
you can engage your whole body. So yeah, I mean,
1757
01:34:20.359 --> 01:34:23.239
I think being physical is very important to me. I mean,
1758
01:34:23.239 --> 01:34:26.560
it's you know, it's it just a that's a lot
1759
01:34:26.600 --> 01:34:28.760
of you know, the most fun stuff that I get
1760
01:34:28.760 --> 01:34:31.720
to do. It's a really important part of how I
1761
01:34:31.760 --> 01:34:36.439
personally balance my energy levels and just get a diversity
1762
01:34:36.479 --> 01:34:39.319
of experiences because I could spend all my time running
1763
01:34:39.319 --> 01:34:42.880
the company. But I think it's good for people to
1764
01:34:42.920 --> 01:34:45.520
do some different things and you know, compete in different
1765
01:34:45.560 --> 01:34:50.159
areas or learn different things, and all of that is good.
1766
01:34:51.239 --> 01:34:55.079
If people want to you know, do really intense workouts
1767
01:34:55.119 --> 01:34:58.279
with with the work that we're doing with quest or
1768
01:34:58.319 --> 01:35:02.479
with you know, eventually glasses, great, But even if you
1769
01:35:02.479 --> 01:35:05.960
don't want to do like a really intense workout, I
1770
01:35:05.960 --> 01:35:08.720
think just having a computing environment and platform which is
1771
01:35:08.720 --> 01:35:12.159
inherently physical captures more of the essence of what we
1772
01:35:12.239 --> 01:35:15.720
are as people than any of the previous computing platforms
1773
01:35:15.720 --> 01:35:16.439
that we've had to date.
1774
01:35:17.000 --> 01:35:19.640
I was even thinking just of the simple task of
1775
01:35:19.680 --> 01:35:24.640
getting better range of motion aka flexibility. I could imagine
1776
01:35:24.680 --> 01:35:27.680
inside of the VR experience, you know, leaning into a stretch,
1777
01:35:27.720 --> 01:35:29.960
you know, a standard kind of like a lunch type stretch,
1778
01:35:30.000 --> 01:35:32.960
but actually seeing a meter of like, are you approaching
1779
01:35:32.960 --> 01:35:35.199
new levels of flexibility in that moment where it's actually
1780
01:35:35.279 --> 01:35:39.399
measuring some kinesthetic elements on the body and the joints.
1781
01:35:39.399 --> 01:35:42.560
And I mean I was just trying whereas normally you
1782
01:35:42.640 --> 01:35:44.000
might have to do that in front of a camera
1783
01:35:44.039 --> 01:35:45.640
which then would give you the data on a screen
1784
01:35:45.640 --> 01:35:47.840
that you look at afterwards or hire an expensive coach,
1785
01:35:48.159 --> 01:35:51.960
but or looking at form and resistance training, so you're
1786
01:35:52.479 --> 01:35:54.680
actually lifting physical weights, but it's telling you whether or
1787
01:35:54.680 --> 01:35:57.159
not you're breaking form. I mean, there's just so much
1788
01:35:57.199 --> 01:35:58.560
that could be done inside of there. And then my
1789
01:35:58.600 --> 01:36:01.760
mind just starts to spiral into like, Wow, this is
1790
01:36:01.880 --> 01:36:04.079
very likely to transform what we think of as quote
1791
01:36:04.119 --> 01:36:05.039
unquote exercise.
1792
01:36:05.920 --> 01:36:07.640
Yeah, I think so. I think there's still a bunch
1793
01:36:07.640 --> 01:36:11.279
of questions that need to get answered. You know, I
1794
01:36:11.279 --> 01:36:14.920
don't think most people are gonna necessarily want to install
1795
01:36:15.319 --> 01:36:17.920
you know, a lot of sensors or cameras to track
1796
01:36:17.960 --> 01:36:20.439
their whole body. So we're just over time getting better
1797
01:36:20.920 --> 01:36:23.800
from the sensors that are on the headsets of being
1798
01:36:23.800 --> 01:36:25.920
able to do very good hand tracking.
1799
01:36:26.000 --> 01:36:26.119
Right.
1800
01:36:26.159 --> 01:36:28.760
So we have this research demo where you now just
1801
01:36:28.800 --> 01:36:31.520
with the hand tracking from the headset, you can type.
1802
01:36:31.560 --> 01:36:34.000
It just projects a little keyboard onto your table and
1803
01:36:34.039 --> 01:36:35.880
you can type and people like type like one hundred
1804
01:36:35.920 --> 01:36:38.760
words a minute with that with a virtual keyboard. Yeah,
1805
01:36:39.000 --> 01:36:44.720
we're starting to be able to, using some modern AI techniques,
1806
01:36:44.800 --> 01:36:47.920
be able to like simulate and understand where your torso's
1807
01:36:47.960 --> 01:36:51.319
position is. Even though you can't always see it, you
1808
01:36:51.359 --> 01:36:52.920
can see it a bunch of the time. And if
1809
01:36:52.960 --> 01:36:56.560
you fuse together what you do see with like the
1810
01:36:56.600 --> 01:36:59.439
accelerometer and understanding how the thing is moving, you can
1811
01:36:59.520 --> 01:37:01.960
kind of understand what the body position is going to be.
1812
01:37:03.720 --> 01:37:06.279
But some things are still going to be hard, right,
1813
01:37:06.319 --> 01:37:11.319
So you mentioned boxing, that one works pretty well because
1814
01:37:11.399 --> 01:37:14.199
you know, we understand your head position, we understand your hands,
1815
01:37:15.279 --> 01:37:18.000
and now we're we're kind of increasingly understanding your your
1816
01:37:18.000 --> 01:37:21.039
body position. But let's say you want to expand that
1817
01:37:21.159 --> 01:37:25.840
to muay Thai or kickboxing. Okay, so legs, that's a
1818
01:37:25.840 --> 01:37:29.159
different part of tracking. That's harder because that's
out of
1819
01:37:29.159 --> 01:37:31.520
the field of view more of the time. But there's
1820
01:37:31.520 --> 01:37:33.800
also the element of resistance, right, so you can throw
1821
01:37:33.800 --> 01:37:36.640
a punch and retract it and shadow box and you know,
1822
01:37:36.720 --> 01:37:41.199
do that without upsetting your kind of physical balance that much.
1823
01:37:41.239 --> 01:37:43.600
But if you want to throw a roundhouse kick and
1824
01:37:43.600 --> 01:37:46.319
there's no one there, then I mean, you know, the
1825
01:37:46.359 --> 01:37:48.279
standard whether you do it and when you're shadow boxing
1826
01:37:48.359 --> 01:37:50.720
is you basically do a little three sixty. But like,
1827
01:37:51.039 --> 01:37:52.640
I don't know is that is that going to feel great?
1828
01:37:52.760 --> 01:37:54.920
I mean, I think there's a question about what that
1829
01:37:55.079 --> 01:37:58.159
what that experience should be. And then if you want
1830
01:37:58.199 --> 01:37:59.520
to go even further, if you want to get like
1831
01:37:59.560 --> 01:38:04.279
grappling to work, I'm not even sure how you would
1832
01:38:04.319 --> 01:38:07.039
do that without having resistance of understanding what the forces
1833
01:38:07.079 --> 01:38:09.000
applied to you would be. And just then you get
1834
01:38:09.000 --> 01:38:11.239
into okay, maybe you're going to have some kind of
1835
01:38:11.239 --> 01:38:14.399
body suit that can apply you know, haptics, but I'm
1836
01:38:14.439 --> 01:38:16.920
not even sure that that even a pretty advanced haptic
1837
01:38:17.000 --> 01:38:18.640
system is going to be able to be quite good
1838
01:38:18.760 --> 01:38:21.359
enough to do to simulate like the actual forces that
1839
01:38:21.399 --> 01:38:24.399
would be applied to you in a grappling scenario. So
1840
01:38:25.000 --> 01:38:26.840
this is part of what's fun about technology, though, is
1841
01:38:26.880 --> 01:38:29.880
you get you keep on getting new capabilities, and then
1842
01:38:29.880 --> 01:38:31.560
you need to figure out what things you can do
1843
01:38:31.600 --> 01:38:33.319
with them. So I think it's really neat that we
1844
01:38:33.319 --> 01:38:35.079
can kind of do boxing and we can do this
1845
01:38:35.159 --> 01:38:38.119
supernatural thing, and there's a bunch of awesome cardio and
1846
01:38:38.199 --> 01:38:40.960
dancing and things like that, and then there's also still
1847
01:38:41.000 --> 01:38:42.960
so much more to do that that I'm excited to
1848
01:38:43.439 --> 01:38:46.399
kind of get to over time. But but it's it's
1849
01:38:46.439 --> 01:38:47.119
a long journey.
1850
01:38:47.359 --> 01:38:51.479
And what about things like painting and art and music,
1851
01:38:51.840 --> 01:38:55.560
you know, I imagine you know, of course you like
1852
01:38:55.600 --> 01:38:58.119
different mediums like I like to draw it pen and pencil,
1853
01:38:58.199 --> 01:39:00.479
but I can imagine trying to learn how to
paint virtually,
1854
01:39:00.479 --> 01:39:03.319
and of course you could print out a physical version
1855
01:39:03.319 --> 01:39:05.159
of that. At the end. This doesn't have to depart
1856
01:39:05.159 --> 01:39:07.079
from the physical world. It could end in the physical.
1857
01:39:07.359 --> 01:39:10.359
Did you see the demo the piano demo where you
1858
01:39:11.520 --> 01:39:14.439
either you're there with a physical keyboard, or it could
1859
01:39:14.439 --> 01:39:19.479
be a virtual keyboard. But the app basically highlights what
1860
01:39:19.600 --> 01:39:23.079
keys you need to press in order to play the song.
1861
01:39:23.359 --> 01:39:26.479
So it's basically like you're looking at your piano and
1862
01:39:26.520 --> 01:39:30.159
it's teaching you how to play a song that you choose.
1863
01:39:29.960 --> 01:39:30.960
An actual piano.
1864
01:39:31.199 --> 01:39:31.399
Yeah.
1865
01:39:31.479 --> 01:39:34.800
Yeah, but it's illuminating certain keys in the virtual space.
1866
01:39:34.840 --> 01:39:37.479
And it could either be a virtual piano if you
1867
01:39:37.560 --> 01:39:39.760
or keyboard if you don't have a piano or keyboard,
1868
01:39:40.119 --> 01:39:45.920
or it could use your actual keyboard. So yeah, I
1869
01:39:45.960 --> 01:39:48.760
think stuff like that is going to be really fascinating
1870
01:39:48.800 --> 01:39:51.319
for education and expression.
1871
01:39:51.840 --> 01:39:54.039
And for brought excuse me, but for and for broadening
1872
01:39:54.079 --> 01:39:57.359
access to total expense of equipment. A piano is is
1873
01:39:57.399 --> 01:40:01.319
no small expense, makes up a lot of space, and
1874
01:40:01.439 --> 01:40:03.520
needs to be tuned. You can think of all these
1875
01:40:03.520 --> 01:40:05.560
things like that the kid that has very little income
1876
01:40:05.640 --> 01:40:07.479
or their family has very little income, could learn to
1877
01:40:07.520 --> 01:40:09.840
play a virtual piano at much lower totally.
1878
01:40:10.159 --> 01:40:11.720
Yeah, it gets back to the question I was asking
1879
01:40:11.760 --> 01:40:14.319
before about this thought experiment of how many of the
1880
01:40:14.359 --> 01:40:18.640
things that we physically have today actually need to be physical.
1881
01:40:19.000 --> 01:40:25.319
The piano doesn't. Maybe there's some premium where it's maybe
1882
01:40:25.359 --> 01:40:29.239
it's a somewhat better, more tactical, tactical experience to have
1883
01:40:29.279 --> 01:40:32.159
a physical one. But for people who don't have the
1884
01:40:32.199 --> 01:40:35.640
space for it, or who can't afford to buy a piano,
1885
01:40:35.760 --> 01:40:36.960
or just aren't sure that they would want to make
1886
01:40:36.960 --> 01:40:39.079
that investment at the beginning of learning how to play piano.
1887
01:40:39.680 --> 01:40:41.359
I think in the future you'll have the option of
1888
01:40:41.399 --> 01:40:44.439
just buying, you know, an app or a hologram piano,
1889
01:40:44.479 --> 01:40:49.319
which will be a lot more affordable. And I think
1890
01:40:49.319 --> 01:40:51.720
it's going to be that's going to be unlock a
1891
01:40:51.760 --> 01:40:56.399
ton of creativity too, because instead of the market for
1892
01:40:56.479 --> 01:41:00.279
piano makers being constrained to like a relatively small set
1893
01:41:00.319 --> 01:41:03.800
of experts who have like perfected that craft, and you're
1894
01:41:03.800 --> 01:41:07.960
gonna have like, you know, kids or developers all around
1895
01:41:07.960 --> 01:41:12.399
the world designing crazy designs for potential keyboards and pianos
1896
01:41:12.439 --> 01:41:14.319
that look nothing like what we've seen before, but are
1897
01:41:14.640 --> 01:41:17.319
maybe like bring even more joy and or even more
1898
01:41:17.439 --> 01:41:19.439
kind of fun in the world where you have fewer
1899
01:41:19.520 --> 01:41:21.760
these physical constraints. So, I don't know, I think it's
1900
01:41:21.840 --> 01:41:23.479
kind of it's gonna be a lot of wild stuff
1901
01:41:23.520 --> 01:41:24.000
to explore.
1902
01:41:24.119 --> 01:41:26.239
There's definitely gonna be a lot of wild stuff to explore.
1903
01:41:26.239 --> 01:41:31.159
I was just had this this idea slash image in
1904
01:41:31.199 --> 01:41:33.359
my mind of what you were talking about, merged with
1905
01:41:33.399 --> 01:41:35.840
our earlier conversation when Priscilla was here. Of you know,
1906
01:41:35.880 --> 01:41:38.000
I could imagine a time not too long from now
1907
01:41:38.000 --> 01:41:40.880
and where you using mixed reality to run experiments in
1908
01:41:40.960 --> 01:41:45.319
the lab, literally mixing virtual solutions, getting potential outcomes, and
1909
01:41:45.359 --> 01:41:47.359
then picking the best one to then go actually do
1910
01:41:47.399 --> 01:41:50.680
in the real world, which is very both financially costly
1911
01:41:50.840 --> 01:41:53.399
and time wise costly.
1912
01:41:53.680 --> 01:41:59.359
Yeah, I mean people are already using VR for surgery
1913
01:41:59.520 --> 01:42:03.399
and education on it. There's some study that was done
1914
01:42:03.439 --> 01:42:07.960
that basically did it tried to do a controlled experiment
1915
01:42:08.000 --> 01:42:10.119
of people who learned how to do a specific surgery
1916
01:42:11.039 --> 01:42:14.640
through just a normal kind of textbook and lecture method
1917
01:42:15.119 --> 01:42:19.159
versus like you show the knee and you have it,
1918
01:42:19.439 --> 01:42:21.760
you know, be a large blown up model and people
1919
01:42:21.760 --> 01:42:24.159
can manipulate it and kind of practice where they would
1920
01:42:24.199 --> 01:42:28.319
make the cuts, and like the people in that class
1921
01:42:28.359 --> 01:42:32.279
did better. So I think that there's Yeah, it's I
1922
01:42:32.279 --> 01:42:34.199
think it's going to be profound for a lot of
1923
01:42:34.199 --> 01:42:34.880
different areas.
1924
01:42:35.159 --> 01:42:37.479
And the least example that leaps to mind, you know,
1925
01:42:37.479 --> 01:42:40.680
I think social media and online culture has been accused
1926
01:42:40.680 --> 01:42:43.279
of creating a lot of real world, let's call it
1927
01:42:43.279 --> 01:42:46.520
physical world social anxiety for people. But I could imagine
1928
01:42:46.880 --> 01:42:49.920
practicing a social interaction or a kid that has a
1929
01:42:49.920 --> 01:42:52.119
lot of social anxiety or that needs to advocate for
1930
01:42:52.159 --> 01:42:55.319
themselves better, learning how to do that progressively through a
1931
01:42:55.399 --> 01:42:57.600
virtual interaction, and then taking that to the real world.
1932
01:42:57.640 --> 01:43:00.880
Because it's in my very recent experience today, it's so
1933
01:43:01.039 --> 01:43:04.720
blended now with real experience that the kid that feels
1934
01:43:04.800 --> 01:43:07.880
terrified of advocating for themselves or just talking to another
1935
01:43:07.960 --> 01:43:09.560
human being or an adult, or being in a new
1936
01:43:09.560 --> 01:43:11.720
circumstance of a room full of kids, you could really
1937
01:43:11.760 --> 01:43:16.159
experience that in silico. First, get comfortable, let the nervous
1938
01:43:16.199 --> 01:43:18.359
system attenuate a bit, and then take it into the
1939
01:43:18.520 --> 01:43:20.439
quote unquote physical world.
1940
01:43:21.359 --> 01:43:21.560
Yeah.
1941
01:43:21.600 --> 01:43:23.880
I think we'll see experiences like that. I mean, I
1942
01:43:23.960 --> 01:43:27.479
also think that some of the social dynamics around how
1943
01:43:27.479 --> 01:43:32.039
people interact in this kind of blended digital world will
1944
01:43:32.079 --> 01:43:33.760
be more nuanced in other ways. So I'm sure that
1945
01:43:33.800 --> 01:43:37.720
there will be kind of new anxieties that people developed
1946
01:43:37.760 --> 01:43:42.000
to just like you know, teens today need to navigate
1947
01:43:42.079 --> 01:43:47.319
dynamics around texting constantly that that we just didn't have
1948
01:43:47.359 --> 01:43:50.760
when we were kids. So I think it will help
1949
01:43:50.760 --> 01:43:52.119
with some things. I think that there will be new
1950
01:43:52.119 --> 01:43:54.239
issues that hopefully we can help people work through too.
1951
01:43:54.359 --> 01:43:56.760
But overall, I think, yeah, I think it's going to
1952
01:43:56.760 --> 01:43:58.439
be really powerful and positive.
1953
01:43:59.039 --> 01:44:02.880
Let's talk about the glass. Sure this was wild. Put
1954
01:44:02.920 --> 01:44:04.880
on a pair of ray bands. I like the way
1955
01:44:04.920 --> 01:44:08.800
they look. They're clear, they look like any other glass
1956
01:44:08.960 --> 01:44:13.439
ray band glasses, except that I could call out to
1957
01:44:13.840 --> 01:44:16.279
the glasses. I could just say, you know, hey, Meta,
1958
01:44:16.880 --> 01:44:19.800
I want to listen to the
Bach variations the Goldburg
1959
01:44:19.880 --> 01:44:26.000
variations of Bach. And Meta responded and no one around
1960
01:44:26.000 --> 01:44:29.960
me could hear, but I could hear with exquisite clarity.
1961
01:44:30.640 --> 01:44:31.960
By the way, I'm not getting paid to say any
1962
01:44:31.960 --> 01:44:34.520
of this. I'm just still blown away by this, folks.
1963
01:44:35.720 --> 01:44:38.479
I want a pair of these very badly. I could hear, okay,
1964
01:44:38.479 --> 01:44:41.720
I'm selecting those now, and or that music now, and
1965
01:44:41.720 --> 01:44:43.000
then I could hear it in the background. But then
1966
01:44:43.000 --> 01:44:45.079
I could still have a conversation. So this was neither
1967
01:44:45.159 --> 01:44:49.119
headphones in nor headphones out, and I could say, wait,
1968
01:44:49.159 --> 01:44:52.159
pause the music, and it would pause. And the best
1969
01:44:52.159 --> 01:44:54.840
part was I didn't have to leave the room mentally,
1970
01:44:55.119 --> 01:44:57.279
and I even have to take out a phone. It
1971
01:44:57.359 --> 01:45:00.479
was all interfaced through this very local environment in and
1972
01:45:00.520 --> 01:45:03.159
around the head. And as a neuroscientist, I'm fascinated by
1973
01:45:03.159 --> 01:45:05.439
this because of course all of our perceptions auditory, visual,
1974
01:45:05.439 --> 01:45:08.000
et cetera occurring in the inside the casing of this
1975
01:45:08.359 --> 01:45:12.279
of this thing we call a skull. But maybe could
1976
01:45:12.279 --> 01:45:15.439
comment on, you know, the origin of that design for you, you
1977
01:45:15.319 --> 01:45:17.399
know what the ideas behind that and where you think
1978
01:45:17.399 --> 01:45:19.560
it could go, because I'm sure I'm just scratching the surface.
1979
01:45:21.039 --> 01:45:23.520
The real product that we want to eventually get to
1980
01:45:24.439 --> 01:45:28.760
is this kind of full augmented reality product in a
1981
01:45:29.239 --> 01:45:33.079
kind of stylish and comfortable normal glasses form factor.
1982
01:45:32.800 --> 01:45:35.359
Not dor k EYVR headset so to speak. No, I mean,
1983
01:45:35.359 --> 01:45:37.279
as the VR headset does feel kind of like it will,
1984
01:45:37.319 --> 01:45:38.800
but there's gonna be.
1985
01:45:38.760 --> 01:45:40.680
A place for that too. Just like you have your
1986
01:45:40.760 --> 01:45:44.600
laptop and you have your workstation, or maybe the better analogies,
1987
01:45:44.640 --> 01:45:47.960
you have your phone and you have your workstation, these
1988
01:45:48.239 --> 01:45:50.159
AR glasses are going to be like your phone and
1989
01:45:50.159 --> 01:45:53.000
that you have something on your face and you will
1990
01:45:53.600 --> 01:45:55.800
I think be able to if you want wear it
1991
01:45:55.960 --> 01:45:58.520
for a lot of the day. And interact with with
1992
01:45:58.520 --> 01:46:01.880
with it very frequently. I don't think that people are
1993
01:46:01.880 --> 01:46:05.800
going to be walking around the world wearing VR head sets.
1994
01:46:06.039 --> 01:46:08.680
But yeah, that's that's certainly not the future that I'm
1995
01:46:08.840 --> 01:46:11.359
that I'm kind of hoping we get to. But I
1996
01:46:11.399 --> 01:46:14.560
do think that there is a place where for having
1997
01:46:15.159 --> 01:46:16.880
you know, because it's a bigger form factor, it has
1998
01:46:16.880 --> 01:46:20.239
more compute power. So just like your workstation or your
1999
01:46:20.279 --> 01:46:22.680
your kind of bigger computer can do more than your
2000
01:46:22.680 --> 01:46:25.319
phone can do. There's a place for that when you
2001
01:46:25.319 --> 01:46:27.800
want to settle into an intense task. Right, if you
2002
01:46:27.840 --> 01:46:29.600
have a doctor who's doing a surgery, I would want
2003
01:46:29.600 --> 01:46:31.640
them doing it through the headset, not through the kind
2004
01:46:31.680 --> 01:46:33.880
of not through their phone equivalent or the just kind
2005
01:46:33.920 --> 01:46:37.399
of lower powered glasses. But just like phones are powerful
2006
01:46:37.479 --> 01:46:39.439
enough to do a lot of things, and the glasses
2007
01:46:39.439 --> 01:46:43.319
will eventually get there too. Now that said, there's a
2008
01:46:43.319 --> 01:46:48.479
bunch of really hard technology problems to address in order
2009
01:46:48.520 --> 01:46:50.279
to be able to get to this point where you
2010
01:46:50.319 --> 01:46:54.239
can like put kind of full holograms in the world.
2011
01:46:54.279 --> 01:46:58.199
You're basically miniaturizing a supercomputer and putting it into a
2012
01:46:58.199 --> 01:47:03.119
pair of glasses so that the pair of glasses still
2013
01:47:03.119 --> 01:47:08.520
looks stylish and normal, and that's a really hard technology problem.
2014
01:47:08.520 --> 01:47:13.840
Making things small is really hard. A holographic display is,
2015
01:47:14.199 --> 01:47:17.359
you know, it's different from what our industry is optimized
2016
01:47:17.399 --> 01:47:21.800
for for thirty or forty years now building screens. There's
2017
01:47:21.840 --> 01:47:25.359
like a whole kind of industrial process around that that
2018
01:47:25.399 --> 01:47:29.119
goes into phones and TVs and computers and like increasingly
2019
01:47:29.199 --> 01:47:32.279
so many things that have different screens. Like there's a
2020
01:47:32.279 --> 01:47:34.159
whole pipeline that's gotten very good at making that kind
2021
01:47:34.159 --> 01:47:39.079
of screen, and the holographic displays are just a completely
2022
01:47:39.159 --> 01:47:42.239
different thing, right, because it's not a screen, right, It's
2023
01:47:42.239 --> 01:47:45.319
a thing that you can shoot light into through you know,
2024
01:47:45.359 --> 01:47:47.199
a laser or some other kind of projector, and it
2025
01:47:47.199 --> 01:47:49.600
can place that as an object in the world. So
2026
01:47:49.960 -->
01:47:52.760
that's going to need to be this whole other industrial
2027
01:47:52.800 --> 01:47:55.359
process that gets built up to doing that like in
2028
01:47:55.359 --> 01:48:00.720
an efficient way. So all that said, we're basically taking
2029
01:48:00.760 --> 01:48:04.840
two different approaches towards building this at once. One is
2030
01:48:05.359 --> 01:48:08.319
we are trying to keep in mind what is the
2031
01:48:08.840 --> 01:48:11.520
long term thing that it's not super far off. I
2032
01:48:11.520 --> 01:48:14.279
think within you know, a few years, I think we'll
2033
01:48:14.319 --> 01:48:17.199
have something that that's sort of a first version of
2034
01:48:17.359 --> 01:48:18.920
kind of this full vision that I'm talking about, and
2035
01:48:18.960 --> 01:48:20.920
we have something that's working internally that we use as
2036
01:48:20.920 --> 01:48:24.159
like a that we'll use as a dev kit. But
2037
01:48:26.600 --> 01:48:29.279
that one that's that's kind of a big challenge. It's
2038
01:48:29.319 --> 01:48:33.199
going to be more expensive and it's harder to get
2039
01:48:33.199 --> 01:48:36.960
all the pieces working. The other approach has been, all right,
2040
01:48:37.039 --> 01:48:39.520
let's start with what we know we can put into
2041
01:48:40.640 --> 01:48:45.560
a pair of stylish sunglasses today and just make them
2042
01:48:45.560 --> 01:48:47.680
as smart as we can. So, you know, for the
2043
01:48:47.680 --> 01:48:51.239
first version, you know, we worked with we did this
2044
01:48:51.279 --> 01:48:55.079
collaboration with ray Band, right, because that's like well accepted.
2045
01:48:55.119 --> 01:48:58.079
You know, these are well designed glasses. They're classic. People
2046
01:48:58.119 --> 01:49:01.079
have used them for decades. For the first version, we
2047
01:49:01.119 --> 01:49:03.600
got a sensor on the front so you could capture
2048
01:49:03.680 --> 01:49:05.800
moments without having to take your phone out of your pocket.
2049
01:49:05.880 --> 01:49:09.800
So you got photos and videos. You had the speaker
2050
01:49:09.800 --> 01:49:13.439
and the microphones, you can listen to music, you could
2051
01:49:13.439 --> 01:49:18.279
communicate with it. But it was you that was sort
2052
01:49:18.319 --> 01:49:19.680
of the first version of it. We had a lot
2053
01:49:19.720 --> 01:49:21.560
of the basics there, but we saw how people used
2054
01:49:21.560 --> 01:49:25.279
it and we tuned it. We made that the camera
2055
01:49:26.039 --> 01:49:28.319
is like twice as good For this new version that
2056
01:49:28.359 --> 01:49:30.359
we made the audio is a lot crisper for the
2057
01:49:30.439 --> 01:49:32.399
use cases that we saw that people actually used, which
2058
01:49:32.439 --> 01:49:34.159
is some of it is listening to music, but a
2059
01:49:34.159 --> 01:49:35.760
lot of it is like people want to take calls
2060
01:49:35.760 --> 01:49:38.960
in their glasses, they want to listen to podcasts, right.
2061
01:49:40.439 --> 01:49:43.239
But the biggest thing that I think is interesting is
2062
01:49:44.279 --> 01:49:46.880
the ability to get AI running on it, which it
2063
01:49:46.960 --> 01:49:49.640
doesn't just run on the glasses. It also it kind
2064
01:49:49.680 --> 01:49:53.439
of proxies through your phone. But I mean, with all
2065
01:49:53.479 --> 01:49:57.399
the advances in LLMS, we talked about this a bit
2066
01:49:57.439 --> 01:50:02.039
and the first part of the conversation. Having the ability
2067
01:50:02.119 --> 01:50:04.640
to have your METAAI assistant that you can just talk
2068
01:50:04.680 --> 01:50:07.960
to and basically ask any question throughout the day is
2069
01:50:08.399 --> 01:50:11.119
I think it'd be really fascinating, and you know, like
2070
01:50:11.159 --> 01:50:14.640
you were saying about kind of how we process the
2071
01:50:14.680 --> 01:50:18.680
world as people. Eventually, I think you're going to want
2072
01:50:18.680 --> 01:50:21.479
your AI assistant to be able to see what you
2073
01:50:21.520 --> 01:50:23.840
see and hear what you hear. Maybe not all the time,
2074
01:50:23.840 --> 01:50:25.479
but you're going to want to be able to tell
2075
01:50:25.520 --> 01:50:27.640
it to go into a mode where it can see
2076
01:50:27.680 --> 01:50:30.279
what you see and hear what you hear. And what's
2077
01:50:30.319 --> 01:50:35.279
the kind of device design that best kind of positions
2078
01:50:35.279 --> 01:50:37.039
an AI assistant to be able to see what you
2079
01:50:37.079 --> 01:50:39.600
see and hear what you hear, so can best help you. Well,
2080
01:50:39.600 --> 01:50:42.319
that's glasses right where or basically as a sensor to
2081
01:50:42.319 --> 01:50:46.199
be able to see what you see, and a microphone
2082
01:50:46.600 --> 01:50:49.000
that is close to your ears that can hear what
2083
01:50:49.039 --> 01:50:53.560
you hear. The other design goals is, like you said,
2084
01:50:54.279 --> 01:50:57.239
to keep you present in the world. So I think
2085
01:50:57.600 --> 01:51:01.000
one of the issues with phones is they kind of
2086
01:51:01.000 --> 01:51:04.359
pull you away from from what's physically happening around you.
2087
01:51:04.399 --> 01:51:06.199
And I don't think that the next generation of computing
2088
01:51:06.239 --> 01:51:06.680
will do that.
2089
01:51:07.720 --> 01:51:09.479
I just I'm chuckling to myself because I have a
2090
01:51:09.479 --> 01:51:11.479
friend he's a very well known photographer, and he was
2091
01:51:11.560 --> 01:51:13.920
laughing about how you know, people go to a concert
2092
01:51:14.359 --> 01:51:17.319
and everyone's filming the concert on their phone so that
2093
01:51:17.359 --> 01:51:19.039
they can be the person that posts a thing. But like,
2094
01:51:19.079 --> 01:51:21.159
there are literally millions of other people who post the
2095
01:51:21.239 --> 01:51:24.680
exact same thing, but somehow our unique it feels
important
2096
01:51:24.680 --> 01:51:28.239
to post our unique experience with glasses that would essentially
2097
01:51:28.359 --> 01:51:32.560
have smooth that gap completely totally. You could just worry
2098
01:51:32.560 --> 01:51:35.319
about it later download it. There are issues I realize
2099
01:51:35.359 --> 01:51:39.199
with glasses because they are so seamless with everyday experience,
2100
01:51:39.199 --> 01:51:41.159
even though you and I aren't wearing them now, it's
2101
01:51:41.239 --> 01:51:45.119
very common for people to wear glasses issues of recording
2102
01:51:45.119 --> 01:51:48.720
and consent. Go into a locker room at my gym,
2103
01:51:49.399 --> 01:51:51.680
I'm assuming that the people with glasses aren't filming whereas
2104
01:51:51.720 --> 01:51:55.039
one right now, because there's a sharp transition when when
2105
01:51:55.079 --> 01:51:57.560
there's a phone in the room and someone's pointing it.
2106
01:51:58.560 --> 01:52:03.640
People generally no phones in locker rooms and recording. So
2107
01:52:03.760 --> 01:52:05.640
that's just one instance. I mean their other instance, we.
2108
01:52:05.680 --> 01:52:07.319
Have the whole privacy light. I don't know, did you
2109
01:52:07.399 --> 01:52:10.560
did you get to explore that? Yeah, So it's anytime
2110
01:52:10.640 --> 01:52:15.199
that it's active that the camera sensor is active. It's
2111
01:52:15.239 --> 01:52:18.720
it's basically like pulsing a white bright light. Got it, So,
2112
01:52:19.079 --> 01:52:23.079
which is, by the way, more than cameras do. Right Someone,
2113
01:52:25.039 --> 01:52:28.399
phones aren't aren't kind of showing a light bright sensor
2114
01:52:28.479 --> 01:52:29.840
when when you're taking a photo.
2115
01:52:29.920 --> 01:52:32.600
So no. People oftentimes will pretend they're texting and they're
2116
01:52:32.600 --> 01:52:34.840
actually recording. I actually saw an instance of this in
2117
01:52:34.880 --> 01:52:37.960
a barbershop once where someone was recording and they were
2118
01:52:37.960 --> 01:52:40.319
pretending that they were texting, and there was interesting. It
2119
01:52:40.319 --> 01:52:44.239
was a pretty intense interaction that ensued and it was like, wow,
2120
01:52:44.279 --> 01:52:47.199
you know, it's pretty easy for people to feign texting
2121
01:52:47.239 --> 01:52:48.479
while actually recording.
2122
01:52:48.840 --> 01:52:53.479
Yeah, so, I think when you're evaluating a risk with
2123
01:52:53.520 --> 01:52:58.720
a new technology, the bar shouldn't be is it possible
2124
01:52:58.880 --> 01:53:03.479
to do anything bad? It's does this new technology make
2125
01:53:03.520 --> 01:53:06.720
it easier to do something bad than what people already had?
2126
01:53:07.239 --> 01:53:10.159
And I think because you have this privacy light that
2127
01:53:10.279 --> 01:53:12.760
is just broadcasting to everyone around you, Hey, this thing
2128
01:53:12.840 --> 01:53:16.079
is recording now, I think that that makes it actually
2129
01:53:17.439 --> 01:53:20.359
less discreet to do it through the glasses than what
2130
01:53:20.399 --> 01:53:23.199
you could do with the phone already, which I think
2131
01:53:23.279 --> 01:53:25.279
is basically the bar that we wanted to get over.
2132
01:53:25.359 --> 01:53:26.520
From a design perspective.
2133
01:53:26.960 --> 01:53:28.920
Thank you for pointing out that it has the privacy light.
2134
01:53:29.000 --> 01:53:31.760
I didn't get long enough in the experience to explore
2135
01:53:31.760 --> 01:53:34.680
all the features, but again, I can think of a
2136
01:53:34.760 --> 01:53:38.399
lot of uses being able to look at a restaurant
2137
01:53:38.399 --> 01:53:41.960
from the outside and see the menu, get status on
2138
01:53:42.039 --> 01:53:46.000
how crowded it is. As much as I love I
2139
01:53:46.039 --> 01:53:48.880
don't want to call out. Let's just say app based
2140
01:53:49.079 --> 01:53:52.319
map functions that allow you to navigate and the audio
2141
01:53:52.680 --> 01:53:55.800
is okay. It's nice to have a conversation with somebody
2142
01:53:56.000 --> 01:53:58.119
on the phone or in the vehicle, and just it'd
2143
01:53:58.119 --> 01:54:00.279
be great if the road was traced where I should earn.
2144
01:54:00.760 --> 01:54:03.000
Absolutely these kinds of things seem like it's gonna be
2145
01:54:03.079 --> 01:54:05.239
straightforward for for a meta.
2146
01:54:05.079 --> 01:54:07.760
Engineers to create future version. We'll have it so but
2147
01:54:07.880 --> 01:54:09.920
also have the holographic display where it can show you
2148
01:54:10.000 --> 01:54:13.119
the directions. But I think there will just basically just
2149
01:54:13.159 --> 01:54:17.760
be different price points that pack different amounts of technology.
2150
01:54:17.960 --> 01:54:20.119
The holographic display part, I think is going to be
2151
01:54:20.479 --> 01:54:22.960
more expensive than doing one that just has the AI
2152
01:54:23.600 --> 01:54:27.720
but is but it's primarily communicating you with you through audio.
2153
01:54:28.039 --> 01:54:30.920
So I mean that the current ray band metaglasses are
2154
01:54:31.239 --> 01:54:34.520
two ninety nine, you know, I think when we have
2155
01:54:34.560 --> 01:54:36.560
one that has a display in it, it will probably
2156
01:54:36.600 --> 01:54:38.279
be some amount more than that, but it will also
2157
01:54:38.399 --> 01:54:41.399
be more powerful. So I think that it'll people choose
2158
01:54:41.399 --> 01:54:44.399
what they want to use based on what the capabilities
2159
01:54:44.439 --> 01:54:48.000
are that they want and what they can afford. But
2160
01:54:48.119 --> 01:54:53.279
a lot of our goal in building things is, you know,
2161
01:54:53.319 --> 01:54:56.359
we try to make things that can be accessible to everyone.
2162
01:54:57.399 --> 01:55:00.479
You know, our game as a company isn't to build
2163
01:55:00.560 --> 01:55:04.119
things and then charge a premium price for it. We
2164
01:55:04.159 --> 01:55:07.600
try to build things that then everyone can use and
2165
01:55:07.640 --> 01:55:10.239
then become more useful because of a very large number
2166
01:55:10.279 --> 01:55:13.319
of people are using them. So it's just a very
2167
01:55:13.319 --> 01:55:16.439
different approach. You know, We're not We're not like Apple
2168
01:55:16.840 --> 01:55:19.359
or some of these companies that just try to make
2169
01:55:19.399 --> 01:55:22.920
something and then sell it for as much as they can,
2170
01:55:23.079 --> 01:55:25.199
which I mean, they're a great company, So I mean
2171
01:55:25.239 --> 01:55:27.760
I forgot that that model kind of is fine too,
2172
01:55:28.199 --> 01:55:31.760
But our approaches can be we want stuff that can
2173
01:55:31.800 --> 01:55:33.680
be affordable. It's that way everyone in the world can
2174
01:55:33.800 --> 01:55:34.039
use it.
2175
01:55:34.640 --> 01:55:37.279
Long lines of health, I think the glasses will also
2176
01:55:37.319 --> 01:55:40.640
potentially solve a major problem in a real way, which
2177
01:55:40.720 --> 01:55:43.920
is the following for both children and adults. It's very
2178
01:55:43.960 --> 01:55:47.000
clear that viewing objects, in particular screens up close for
2179
01:55:47.039 --> 01:55:50.199
too many hours per day leads to myopia literally a
2180
01:55:50.279 --> 01:55:52.279
change in the length and length of the eyeball and
2181
01:55:52.319 --> 01:55:57.039
near sightedness. And on the positive side, we know, based
2182
01:55:57.079 --> 01:56:01.159
on some really large clinical trials thatids who spend and
2183
01:56:01.239 --> 01:56:03.880
adults who spend two hours a day or more out
2184
01:56:03.920 --> 01:56:08.520
of doors don't experience that and maybe even reverse their myopia.
2185
01:56:08.560 --> 01:56:10.840
And it has something to do with exposure to sunlight,
2186
01:56:10.880 --> 01:56:12.680
but it has a lot to do with long viewing,
2187
01:56:12.800 --> 01:56:14.920
viewing things at a distance greater than three or four
2188
01:56:14.960 --> 01:56:17.760
feet away, and with the glasses, I realize one could
2189
01:56:17.800 --> 01:56:22.439
actually do digital work out of doors. It could measure
2190
01:56:22.640 --> 01:56:25.239
and tell you how much time you've spent looking at
2191
01:56:25.279 --> 01:56:27.880
things up close versus far away. I mean, this is
2192
01:56:27.920 --> 01:56:31.439
just another example that leaps to mind. But in accessing
2193
01:56:31.439 --> 01:56:34.920
the visual system, you're effectively accessing the whole brain, because
2194
01:56:34.920 --> 01:56:36.720
it's the only two bits of brain that are outside
2195
01:56:36.760 --> 01:56:39.359
the cranial vault. So it just seems like putting technology
2196
01:56:39.439 --> 01:56:41.279
right at the level of the eyes, seeing what the
2197
01:56:41.319 --> 01:56:43.880
eyes see is just got to be the
best way
2198
01:56:43.920 --> 01:56:44.119
to go.
2199
01:56:44.880 --> 01:56:49.079
Yeah, I think, well multimodal, right, I think is you
2200
01:56:49.119 --> 01:56:54.399
want the visual sensation, but you also want kind of
2201
01:56:54.479 --> 01:56:55.920
text or language, So.
2202
01:56:56.079 --> 01:56:58.119
Sure, I think it's that all can be brought to
2203
01:56:58.159 --> 01:57:01.199
the level of the eyes, right. What do you mean, Well,
2204
01:57:01.239 --> 01:57:04.319
I mean, I think what we're describing here is essentially
2205
01:57:04.359 --> 01:57:07.560
taking the phone, the computer and bringing it all to
2206
01:57:07.600 --> 01:57:09.479
the level of the eyes. And of course one would
2207
01:57:09.520 --> 01:57:12.359
like one physically at your eyes, right, and one would
2208
01:57:12.439 --> 01:57:15.000
like more kinesthetic information as you mentioned before, where the
2209
01:57:15.079 --> 01:57:17.279
legs are maybe even long function Hey, have you taken
2210
01:57:17.359 --> 01:57:19.760
enough steps today. But but that all can be if
2211
01:57:19.800 --> 01:57:21.119
it can be figured out on the phone. It can
2212
01:57:21.159 --> 01:57:23.880
be by the phone, it can be figured out by glasses.
2213
01:57:24.520 --> 01:57:27.520
But there's additional information there, such as what are you
2214
01:57:27.560 --> 01:57:29.439
focusing on in your world? How much of your time
2215
01:57:29.479 --> 01:57:31.960
is spent looking at things far away versus up close?
2216
01:57:32.039 --> 01:57:34.319
How much social time did you have today? So it's
2217
01:57:34.319 --> 01:57:36.439
really tricky to get that with a phone, like they
2218
01:57:36.479 --> 01:57:38.119
give my phone right in front of us, as if
2219
01:57:38.119 --> 01:57:40.880
we were at a standard lunch nowadays certainly silicon value,
2220
01:57:41.079 --> 01:57:42.760
and then we're peering at our phones. I mean, how
2221
01:57:42.840 --> 01:57:45.840
much real direct attention was in the conversation at hand
2222
01:57:45.920 --> 01:57:47.920
versus something else. I mean, you can get issues of
2223
01:57:47.960 --> 01:57:51.920
where are you placing your attention by virtue of where
2224
01:57:51.920 --> 01:57:54.199
you're placing your eyes, And I think that information is
2225
01:57:54.239 --> 01:57:56.319
not accessible with a phone in your pocket or in
2226
01:57:56.359 --> 01:57:59.000
front of you. I mean that a little bit, but
2227
01:57:59.279 --> 01:58:02.439
not nearly as rich and complete information as one gets
2228
01:58:02.479 --> 01:58:04.560
when you're really pulling the data from the level of
2229
01:58:05.000 --> 01:58:08.039
vision and what kids and adults are actually looking at
2230
01:58:08.039 --> 01:58:12.439
and attending to. Yeah, yeah, yeah, it is extremely valuable.
2231
01:58:12.880 --> 01:58:15.640
You get autonomic information size of the pupils, so you
2232
01:58:15.640 --> 01:58:19.159
get information about internal
states. I mean that.
2233
01:58:18.720 --> 01:58:22.720
There's internal sensor and outside. So there's the sensor on
2234
01:58:22.760 --> 01:58:26.600
the ray bound metaglasses is external, right, so it's basically
2235
01:58:26.600 --> 01:58:30.319
allows you to see what you see then sorry the
2236
01:58:30.319 --> 01:58:33.319
AIS system to see what you're seeing. There's a separate
2237
01:58:33.359 --> 01:58:37.680
set of things which are I tracking, which are also
2238
01:58:37.760 --> 01:58:41.960
very powerful for enabling a lot of interfaces. Right, so
2239
01:58:42.199 --> 01:58:43.399
you want to if you want to just like look
2240
01:58:43.439 --> 01:58:47.119
at something and select it by looking at it with
2241
01:58:47.159 --> 01:58:49.199
your eyes rather than having to kind of drag a
2242
01:58:49.239 --> 01:58:53.760
controller over or pick up a hologram or anything like that,
2243
01:58:53.840 --> 01:58:57.479
you can do that with I tracking. So that's a
2244
01:58:57.520 --> 01:59:01.960
pretty profound and cool expertsvariance too, as well as just
2245
01:59:02.039 --> 01:59:03.800
kind of understanding what you're looking at so that way
2246
01:59:03.800 --> 01:59:07.239
you're not kind of wasting compute power drawing pixels in
2247
01:59:07.319 --> 01:59:09.760
high resolution a part of the kind of world that
2248
01:59:09.800 --> 01:59:11.680
you're not that's going to be in your peripheral vision.
2249
01:59:13.159 --> 01:59:18.199
So yeah, all of these things there are interesting design
2250
01:59:18.279 --> 01:59:22.239
and technology trade offs where if you want the external sensor,
2251
01:59:22.920 --> 01:59:25.119
that's one thing. If you also want the eye tracking,
2252
01:59:25.840 --> 01:59:27.800
now that's a different set of sensors. Each one of
2253
01:59:27.840 --> 01:59:33.479
these consumes compute, which consumes battery, they take up more space, right,
2254
01:59:33.520 --> 01:59:35.399
So it's like where are the eye tracking sensors going
2255
01:59:35.479 --> 01:59:36.960
to be? It's like, what you want to make sure
2256
01:59:36.960 --> 01:59:39.439
that the rim of the glasses is actually quite thin,
2257
01:59:39.640 --> 01:59:42.960
because I mean it's you know, there's a kind of
2258
01:59:43.039 --> 01:59:46.479
variance of how thick can glasses be before they look
2259
01:59:46.520 --> 01:59:50.760
more like goggles than glasses. Saying that this is there's
2260
01:59:50.800 --> 01:59:52.399
this whole space, and I think people are gonna end
2261
01:59:52.439 --> 01:59:54.920
up choosing what product makes sense for them. Maybe they
2262
01:59:54.960 --> 01:59:56.680
want something that's more powerful, that is more of the
2263
01:59:56.720 --> 01:59:59.920
sensors it's but it's going to be a little more expensive,
2264
02:00:00.039 --> 02:00:02.840
maybe like slightly thicker, or maybe you want like a
2265
02:00:02.840 --> 02:00:06.159
more basic thing that just looks like very similar to
2266
02:00:06.159 --> 02:00:08.199
what ray band glasses are that people have been wearing
2267
02:00:08.239 --> 02:00:10.880
for decades, but kind of has AI in it, and
2268
02:00:10.920 --> 02:00:13.800
you can capture moments without having to take your phone
2269
02:00:13.800 --> 02:00:16.119
out and send them to people. In the latest version,
2270
02:00:16.680 --> 02:00:20.600
we got the ability into live stream. I think that
2271
02:00:20.600 --> 02:00:23.319
that's pretty crazy that now you can be kind of
2272
02:00:23.520 --> 02:00:26.399
going back to your concert case or whatever else you're doing.
2273
02:00:26.399 --> 02:00:29.039
You know, you can be you know doing sports and
2274
02:00:29.520 --> 02:00:32.640
just you know, watching your kids play something and just
2275
02:00:32.920 --> 02:00:35.079
you can be watching and you can be live streaming
2276
02:00:35.119 --> 02:00:39.000
it to your your kind of family group so people
2277
02:00:39.039 --> 02:00:41.840
can see it. I think that like that stuff is.
2278
02:00:43.359 --> 02:00:45.279
I think that's pretty cool that you basically have a
2279
02:00:45.319 --> 02:00:47.920
normal looking pair of glasses at this point that can
2280
02:00:48.199 --> 02:00:50.760
kind of live stream and has like an AI assistant.
2281
02:00:50.800 --> 02:00:54.079
So the stuff is making a lot faster progress in
2282
02:00:54.119 --> 02:00:57.359
a lot of ways than I would have thought. And
2283
02:00:57.399 --> 02:00:58.960
I don't know. I think people are gonna like this version,
2284
02:00:59.000 --> 02:00:59.960
but there's a lot more still to do.
2285
02:01:00.920 --> 02:01:02.840
I think it's super exciting, and I see a lot
2286
02:01:02.880 --> 02:01:05.479
of technologies. This one's particularly exciting to me because of
2287
02:01:05.520 --> 02:01:08.119
how smooth the interface is and for all the reasons
2288
02:01:08.119 --> 02:01:11.880
that you just mentioned. What's happening with and what can
2289
02:01:11.880 --> 02:01:16.439
we expect around AI interfaces and maybe even avatars of
2290
02:01:16.520 --> 02:01:20.880
people within social media? Are we not far off from
2291
02:01:20.880 --> 02:01:24.840
a day where there are multiple versions of me and
2292
02:01:24.920 --> 02:01:26.800
you on the internet, where people, for instance, I get
2293
02:01:26.800 --> 02:01:29.159
asked a lot of questions. I don't have the opportunity
2294
02:01:29.159 --> 02:01:32.479
to respond all those questions, but with things like chat GPT,
2295
02:01:32.600 --> 02:01:34.680
people are trying to generate answers to those questions on
2296
02:01:34.720 --> 02:01:37.399
other platforms. Will I have the opportunity to soon have
2297
02:01:37.439 --> 02:01:39.720
an AI version of myself where people can ask me
2298
02:01:39.800 --> 02:01:44.079
questions about like what I recommend for sleep in, circadian rhythm, fitness,
2299
02:01:44.640 --> 02:01:47.239
mental health, et cetera, based on content I've already generated
2300
02:01:47.239 --> 02:01:49.640
that will be accurate, so they could just ask my avatar.
2301
02:01:50.640 --> 02:01:53.600
Yeah, this is something that I think a lot of
2302
02:01:53.640 --> 02:01:58.439
creators are going to want that that we're trying to build,
2303
02:01:59.600 --> 02:02:02.479
and I think we'll probably have a version of next year.
2304
02:02:03.119 --> 02:02:06.159
But there's a bunch of constraints that I think we
2305
02:02:06.239 --> 02:02:08.479
need to make sure that we get right. So, for one,
2306
02:02:09.079 --> 02:02:12.039
I think it's really important that it's not that there's
2307
02:02:12.079 --> 02:02:14.520
a bunch of versions of you. It's that if anyone
2308
02:02:14.560 --> 02:02:18.640
is creating like an AI assistant version of you, it
2309
02:02:18.640 --> 02:02:21.359
should be something that you control, right. It's I think
2310
02:02:21.359 --> 02:02:23.239
there's some platforms that are out there today that just
2311
02:02:23.319 --> 02:02:26.479
let people like you know, make I don't know, the
2312
02:02:26.840 --> 02:02:30.359
AI bot of me or other figures, and it's like,
2313
02:02:30.600 --> 02:02:33.600
I don't know. I mean, we we have platform policies
2314
02:02:33.640 --> 02:02:40.319
for not for like decades, like you know, since the
2315
02:02:40.319 --> 02:02:42.000
beginning of the company at this point, which is almost
2316
02:02:42.039 --> 02:02:46.880
twenty years that that basically don't allow impersonation, you know,
2317
02:02:47.000 --> 02:02:49.439
real identity is like one of the core aspects that
2318
02:02:49.439 --> 02:02:51.920
that kind of our company was started on is like
2319
02:02:52.000 --> 02:02:55.520
you want to kind of authentically be yourself. So yeah,
2320
02:02:55.720 --> 02:02:59.600
I think if you're, if you're almost any creator, being
2321
02:02:59.640 --> 02:03:04.359
able to to engage your community, and there's just going
2322
02:03:04.399 --> 02:03:07.319
to be more demand to interact with you than you
2323
02:03:07.359 --> 02:03:10.000
have hours in the day. So there are both people
2324
02:03:10.039 --> 02:03:12.239
who out there who would benefit from being able to
2325
02:03:12.239 --> 02:03:15.359
talk to an AI version of you, and I think
2326
02:03:15.640 --> 02:03:18.119
you and other creators would benefit from being able to
2327
02:03:18.159 --> 02:03:21.239
keep your community engaged and service that demand that people
2328
02:03:21.319 --> 02:03:24.079
have to engage with you. But you're going to want
2329
02:03:24.079 --> 02:03:27.840
to know that that AI kind of version of you
2330
02:03:27.960 --> 02:03:31.159
or assistant is going to represent you the way that
2331
02:03:31.199 --> 02:03:34.359
you would want. And there are a lot of things
2332
02:03:34.399 --> 02:03:37.840
that are awesome about kind of these modern lms, but
2333
02:03:38.840 --> 02:03:43.079
having perfect predictability about how it's going to
represent something
2334
02:03:43.159 --> 02:03:46.640
is not one of the current strengths. So I think
2335
02:03:46.640 --> 02:03:48.000
that there's some work that needs to get done there.
2336
02:03:48.000 --> 02:03:49.680
I don't think it needs to be one hundred percent
2337
02:03:49.720 --> 02:03:51.560
perfect all of the time, but you need to have
2338
02:03:51.680 --> 02:03:54.319
very good confidence I would say that that's going to
2339
02:03:54.319 --> 02:03:55.960
represent you the way that you'd want for you to
2340
02:03:56.159 --> 02:03:58.359
want to turn it on, which again you should have
2341
02:03:58.359 --> 02:04:01.119
control over whether you turn it on. So we wanted
2342
02:04:01.159 --> 02:04:03.560
to start in a different place, which I think is
2343
02:04:03.560 --> 02:04:09.800
a somewhat easier problem, which is creating new characters that
2344
02:04:09.920 --> 02:04:14.760
the AI persona so that way it's not you know,
2345
02:04:14.800 --> 02:04:17.680
we we built you know, one of the ais is
2346
02:04:18.359 --> 02:04:22.000
like a chef, and they can help you kind of
2347
02:04:22.159 --> 02:04:24.600
come up with things that you should that you could
2348
02:04:24.640 --> 02:04:28.039
cook and can help you cook them. There's like a
2349
02:04:28.039 --> 02:04:30.159
couple of people that are interested in different types of
2350
02:04:30.159 --> 02:04:32.880
fitness that can help you kind of plan out your
2351
02:04:32.920 --> 02:04:36.439
workouts or help with recovery or different things like that.
2352
02:04:37.319 --> 02:04:40.279
There are people there's an AI that's focused on like
2353
02:04:40.399 --> 02:04:44.760
di y crafts. There's someone who's a travel expert that
2354
02:04:44.760 --> 02:04:47.000
can help you make travel plans or give you ideas.
2355
02:04:47.000 --> 02:04:49.199
So but the key thing about all these is they're
2356
02:04:49.239 --> 02:04:53.119
not they're not modeled off of existing people, so they
2357
02:04:53.159 --> 02:04:56.920
don't have to have kind of one hundred percent fidelity
2358
02:04:57.000 --> 02:04:59.720
to like making sure that they never say something that
2359
02:05:00.119 --> 02:05:02.760
you know, a real person who they're modeled after would
2360
02:05:02.760 --> 02:05:06.079
never say because they're just made up characters. So that
2361
02:05:06.079 --> 02:05:11.159
that is that's someone easier problem. We actually got the
2362
02:05:11.479 --> 02:05:15.560
We got a bunch of different kind of well known
2363
02:05:15.600 --> 02:05:18.119
people to play those characters because we thought that would
2364
02:05:18.159 --> 02:05:20.439
make it more fun. So there's like Snoop Dogg is
2365
02:05:20.479 --> 02:05:22.479
the dungeon Master, so you can like drop him into
2366
02:05:22.479 --> 02:05:25.199
a thread and play text based games. And it's just
2367
02:05:25.239 --> 02:05:27.520
like I do this with my daughter when I when
2368
02:05:27.520 --> 02:05:29.640
I tuck her in at night, and she just like
2369
02:05:29.720 --> 02:05:34.439
loves like like storytelling, right, and it's like it's like
2370
02:05:34.439 --> 02:05:36.600
like Snoop Dogg is the Dungeon Master will come up
2371
02:05:36.600 --> 02:05:38.920
with like here's what's happening next, and she's like, Okay,
2372
02:05:38.960 --> 02:05:40.800
I like turn into a mermaid and then I like
2373
02:05:40.840 --> 02:05:43.520
swim across the bay and I go and find the
2374
02:05:44.079 --> 02:05:45.960
treasure chest and unlock it. And it's like and then
2375
02:05:46.039 --> 02:05:48.239
Snoop Dogg just always will have a next version of
2376
02:05:48.279 --> 02:05:50.720
the like the next iteration on the story. So and
2377
02:05:50.760 --> 02:05:53.560
it's stuff is fun. But you know it's not actually
2378
02:05:53.600 --> 02:05:55.560
Snoop Dogg. He's just kind of the actor. He's playing
2379
02:05:55.560 --> 02:05:58.359
the dungeon Master, which makes it more fun. So that's
2380
02:05:58.399 --> 02:06:01.000
probably the right place to start, is you have like
2381
02:06:01.800 --> 02:06:04.720
you can kind of build versions of these characters that
2382
02:06:04.720 --> 02:06:07.359
that people can interact with doing different things. But I
2383
02:06:07.359 --> 02:06:09.800
think where you want to get over time is to
2384
02:06:09.840 --> 02:06:13.520
the place where any creator or any small business can
2385
02:06:13.680 --> 02:06:17.840
very easily just create an AI assistant that can represent
2386
02:06:17.880 --> 02:06:21.920
them and interact with your kind of community or customers
2387
02:06:21.960 --> 02:06:26.640
if you're a business, and basically just help you grow
2388
02:06:27.199 --> 02:06:30.039
your your enterprise. So I don't know, I think that's
2389
02:06:30.039 --> 02:06:31.760
gonna be cool. But I think this is it's a
2390
02:06:31.800 --> 02:06:34.199
long term project. I think we'll have more progress on
2391
02:06:34.279 --> 02:06:38.119
it to report on next year. But but I think
2392
02:06:38.159 --> 02:06:38.680
that's coming.
2393
02:06:40.000 --> 02:06:42.239
I'm super excited about because you know, we hear a
2394
02:06:42.239 --> 02:06:44.239
lot about the downsides of AI. I mean, I think
2395
02:06:44.279 --> 02:06:47.680
people are now coming around to the reality that AI
2396
02:06:47.760 --> 02:06:49.239
is neither good nor bad. It can be used for
2397
02:06:49.279 --> 02:06:50.600
good or bad, and that there are a lot of
2398
02:06:50.920 --> 02:06:53.359
life enhancing spaces that it's going to show up and
2399
02:06:53.399 --> 02:06:58.000
really really improve the way that we engage socially, what
2400
02:06:58.039 --> 02:07:01.359
we learn, and that mental health and physical health don't
2401
02:07:01.399 --> 02:07:03.119
have to suffer and in fact can be enhanced by
2402
02:07:03.239 --> 02:07:06.000
the sorts of technologies we've been talking about. So I
2403
02:07:06.039 -->
02:07:11.279
know you're extremely busy. I so appreciate the large amount
2404
02:07:11.319 --> 02:07:13.720
of time you've given me today to sort through all
2405
02:07:13.800 --> 02:07:16.000
these things. Fun and to talk with you and Priscilla
2406
02:07:16.079 --> 02:07:19.479
and to hear what's happening and where things are headed.
2407
02:07:20.479 --> 02:07:23.840
The future certainly is bright. I share in your optimism
2408
02:07:23.880 --> 02:07:28.319
and it's been only strengthened by today's conversation. So thank
2409
02:07:28.359 --> 02:07:30.479
you so much, and keep doing what you're doing, and
2410
02:07:31.640 --> 02:07:35.119
on behalf of myself and everyone listening. Thank you, because
2411
02:07:35.479 --> 02:07:39.600
regardless of what people say, we all use these platforms excitedly,
2412
02:07:39.760 --> 02:07:42.399
and it's clear that there's a ton of intention and
2413
02:07:42.479 --> 02:07:47.640
care and thought about, you know, what could be in
2414
02:07:47.680 --> 02:07:51.000
the positive sense, and that's really worth highlighting.
2415
02:07:51.399 --> 02:07:53.039
Awesome, Thank you, I appreciate it.
2416
02:07:54.199 --> 02:07:56.399
Thank you for joining me for today's discussion with Mark
2417
02:07:56.479 --> 02:07:59.680
Zuckerberg and doctor Priscilla Chan. If you're learning from and
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02:07:59.800 --> 02:08:02.840
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doctor Priscilla Chan. And last, but certainly not least, thank
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you for your interest in science.