From Information Overload to Instruction (with NotebookLM)

WEBVTT
NOTE
This file was generated by Descript
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Kelly Booz 2: You're listening to
The AI Educator Brain — brought
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to you by Share My Lesson at the
American Federation of Teachers.
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Real talk about AI in education.
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No hype.
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No jargon.
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Just what educators need to know.
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Hi.
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Speaker: Hi.
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We're going.
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Kelly Booz 2: Hey, I'm Kelly Booz, and
welcome back to The AI Educator BrAIn.
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We're two years old — which
means we're officially in our
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terrible twos, and honestly, this
episode lives up to that energy.
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Saeri Beth Rosenberg and I are
joined by our most frequent guest
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and resident AI expert, Christopher
Penn, for a deep dive into Google's
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NotebookLM — the tool that lets you
upload your own curriculum, textbooks,
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and lesson plans and turn them into
slide decks, podcasts, videos, quizzes,
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and flashcards in over 80 languages.
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Chris demos the whole thing
live using a Common Core math
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textbook he built with AI.
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Minecraft themed.
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Obviously.
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But before we get there — we kick
off with Creepy or Cool, dig into
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AI-generated propaganda videos,
and deliver our SNL Weekend
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Update–style AI Educator News Update.
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Quick note — this episode comes
from our live AI Educator Brain
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webinar series on Share My Lesson.
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That means you'll hear us
talking about audience emojis
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and comments, and references to
things we're showing on screen.
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That's our live community — hundreds
of educators showing up every
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month to learn, laugh, and
occasionally roast us in the chat.
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If you want to be part of that, or if
you're a teacher and want to earn free
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professional development credit for
this session, head to sharemylesson.com
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forward slash ai, and sign up.
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It's free — always has
been, always will be.
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Alright, let's get into it.
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All right.
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We're back at April and we
have the Honorable Christopher
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Pen and joining us today.
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How are you doing?
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Christopher Pen?
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Speaker 3: I, I am doing as good
as it gets in this crazy world.
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It's been a hot minute since the last
time we were on, last time we were
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on, we were not at war with Iran.
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Speaker 2: Oh, wait.
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Oh dear.
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Wow.
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Oh,
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Speaker: thanks.
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Wow.
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We are just go, we're going straight in.
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Speaker 2: Was it before?
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Was it before?
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Oh, so it had to have been
before Power Plant Day.
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Bridge Day.
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Um, don't know what a doctor
is anymore, but here we are.
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Speaker: Apparently doctor is also Jesus.
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Um,
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Speaker 2: Dr.
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Jesus, welcome.
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Yeah.
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Speaker: Yeah.
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Actually that is a great question.
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I'm gonna start with creep or Cool.
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Speaker 2: Yeah.
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Speaker: Um,
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Speaker 2: let's do
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Speaker: it in just a second.
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And Chris, I'm gonna ask you,
can you pull up that image really
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quickly on your screen and share it
just in case you haven't seen it?
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So, hi everybody.
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We should start with like, as he's
finding the image, I'm Kelly Boo.
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Rude of us amt share my lesson and
I've got, I'm here with my besties.
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Yes.
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Sarah Beth.
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Speaker 2: Hello.
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I know we need to be
in real life together.
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I feel like all we are is
in our robot world soon.
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This, this is true this summer for this is
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Speaker: true.
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I mean, you don't even know
we could be robots right now.
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We might not be real.
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Speaker 2: It's
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Speaker: possible,
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Speaker 2: you know.
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Yeah, just, I
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Speaker: mean, nobody can
be as funny as me, but, um,
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Speaker 2: true.
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No robot, no robot can replace your humor.
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Speaker: Yes, yes.
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All right.
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So I see a lot of people
using the attendee chat.
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Keep that up.
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Let us know where you're joining us from.
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Um, north Macedonia.
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Oh, okay.
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Welcome.
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Um, so let us know where
you're joining us from.
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So this is our AI educator brain.
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This is actually, we, this
is our two year birthday.
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Sarah Beth.
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We've done this now for two years.
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Oh my.
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We're going into, into year three.
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We're becoming the terrible, oh my God.
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We're just finished our terrible two.
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We're going into the
terrible twos, I should say.
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Um, that's exciting.
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Speaker 2: And, and it's very ex, I
can't believe we're two years old.
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Speaker: I know, I know.
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It's crazy.
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And so, you know, for those of you
who are brand new, we've been doing
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this series for a long time now.
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Christopher Penn is our most common
and most, uh, regular guest, um,
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appearance that he's part of this team.
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Um, we have a lot of fun with him, and he
is super knowledgeable on all things ai.
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And he's here today to talk
to us about, uh, notebook lm.
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But we have some pretty
standard fun things.
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So you'll, you'll know if you're
brand new to us, that we are goofy.
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We like to have fun.
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We like to laugh at ourselves.
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We like to cry about, you know, um,
the state of the world that we're
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in right now, state of the world.
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Um, not
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Speaker 2: so hard
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Speaker: to make that
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Speaker 2: happen.
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Speaker: And so we have a couple
fun segments that we always
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start with, um, just to kind of
get us into what's happening.
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One of those is called Creepy or
Cool when you get to decide, and
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that'll be your first poll question.
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So Chris is going to, and Sarah Beth,
why don't you, uh, Chris, why don't
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you show the image And then Sarah
Beth, why don't you set up what is
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happening here with the AI world?
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Speaker 2: Well, well
everyone, um, you know.
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I actually popped this up for
my students, not this tweet.
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Don't worry.
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I wasn't being political.
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I just, uh, this was my starter today.
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I popped that up on the screen because
our president, uh, tweeted this out.
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Or two social, this image out,
uh, as you can see right here.
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Um, now I asked, I didn't wanna, I,
you know, I don't wanna assume things.
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So people were very angry because most
people thought that this was Trump
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per saying, per Trump, uh, portraying
himself as Jesus Christ himself.
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Now, um, when Trump was asked about it, he
said that he thought it was, uh, a doctor.
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He thought he was an AI
image of him as a doctor.
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So, I'm gonna ask you all two questions.
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Number one, I asked my students
this today, doctor or Christ.
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Um, I'm gonna let you know that
every single one of my students
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disagreed with the president.
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They thought this was
Jesus Christ, not a doctor.
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Uh, but, um, our question for
you is, uh, creep or cool.
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Speaker: Yeah.
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So you'll, you'll see us as we
talk about various a ai uses, um,
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throughout where we ask whether
that's a creepy or a cool, um, AI use.
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And then go ahead and
use that attendee chat.
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Um, that creepier cool should be
popping up on your screen with a
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little ding, um, for you to respond.
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Uh, so let us know what you think
about that, um, in your response.
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But you can also, um, yeah,
creepy and sacrilegious.
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I agree with you, Jerry.
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Thank you for sharing that.
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Speaker 2: Definitely.
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Yes.
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My students agree with you.
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They thought it was mm-hmm.
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Appalling and sacrilegious.
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Uh, yeah.
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Speaker: Yeah.
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Um, so go ahead and
submit that poll response.
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Uh, we'll have a couple more of
these polls throughout as we go.
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And also one of the things that we love,
so we know that you're here and with us.
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Use those little emojis where you see
the little heart on the laughter and
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the tears and all that other stuff.
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Let us know.
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Yeah.
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If
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Speaker 2: you wanna cry,
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Speaker: fly
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Speaker 2: over that.
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Speaker: Yeah.
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Free if you wanna cry.
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Yeah.
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Okay.
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Let's see what people thought.
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Okay.
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Speaker 2: What did people find?
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Speaker: So creepy.
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Creepy.
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Alright.
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Chris, what did you think about this one?
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Speaker 3: Uh, I, it's not creepy
so much as it is just idiotic.
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Yeah,
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Speaker: right.
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Speaker 3: I did see the funny,
there was a, I, I don't have it.
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There was a very funny TikTok edit
somebody did of that where they
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animated it and then Jesus flies down
from the clouds, grabs trump, lights
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him on fire and throws him into hell.
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Whoa.
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Speaker 2: Was that one
of those Lego videos?
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Speaker 3: No, no.
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That was a, a, a random TikTok or
decided, ah, let's extend the idea.
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Speaker: Okay, Chris, you may have to
find us a link so we can take a look.
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I'll have to preview it
before I share with everybody.
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Um,
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Speaker 2: I mean, I, I brought up,
and another thing too, I mean with,
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in terms of ai, I wanted to ask Chris
this, um, in terms of stuff related to
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the president, there's been so many,
um, ai, I, I'm being told, those Lego
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videos coming out from Iran or ai Yes.
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Clearly they were not done in a studio
that would've taken a lot longer than
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it's taking them to pop those out.
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What are your thoughts on those
in terms of just like, how, how
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are they making those so quickly?
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Speaker: And if you have a, if you
have a visual that we can pop up, um,
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if we can pop that up on the screen,
if you have, that would be great.
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Speaker 2: Yeah.
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What are they using?
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What like apps are they using?
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Not that I'm thinking of making any guys.
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It's not me.
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Um,
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Speaker 3: um, we're, so there's
no watermark on these, which.
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Indicates that they are pro
again, this is knowing, uh, Iran.
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Yeah.
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And knowing the, the, the folks
that they, um, they typically work
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with, they're, if I had to place a
guess, these are probably mm-hmm.
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Using, uh, bite Dance's c Dance 2.0
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model, which is one of, uh, China's best
performing, uh, very high fidelity models.
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I'm not gonna, I, I'm not gonna
actually play a thing 'cause you
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know, it'll eat our bandwidth.
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But you can see there are still
little artifacts here and there, but
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they, they're very, very well done.
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And that is characteristic
of, of sea dance.
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Sea dance is a very, very good model.
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It is, and this is something
that people should be aware of.
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Um, there are a lot of different,
uh, AI video generation models, and
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only some of them have watermarking.
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So Google's VO three has a watermark
called Synth ID built into it.
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Um, open AI's.
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Former video model called Sora, which
they shut down because it was costing
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them too much money has watermarking.
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A lot of video models do not.
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In fact, there are some that um, not only
are not watermarked, but you can also get
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them in completely uncensored uh, form.
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Speaker 2: Wow.
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Speaker: Wow.
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That's again, guardrails people.
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This is what we talk about
at the a t all the time.
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Finding those Right.
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Guardrails.
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Um, and so, right.
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So yeah.
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So as much as we, um, um, you know,
I'm throwing another creepier cool.
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Creepier Cool on those,
um, what Chris has shared.
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Yeah.
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Videos.
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Curious.
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I'm curious
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Speaker 2: in the comments, I'm curious,
how many of you are seeing those in your
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algorithm or in the news, those videos?
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Speaker: Oh, good question.
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Speaker 2: Yeah.
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'cause I see them, it's like I open
up my phone and there's a new one.
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There was just one about
Melania this morning.
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It's like every.
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It's ama it's pretty, however
you feel about it all.
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It's extraordinary how quickly
they throw them together and
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how much they know about mm-hmm.
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American culture and what's
going on minute to minute.
00:10:11.817 --> 00:10:12.087
Speaker: Yeah.
00:10:12.687 --> 00:10:16.227
Or like we talked about last month,
you know, the, uh, the robots coming
00:10:16.227 --> 00:10:18.177
to be teachers at a school near you.
00:10:19.287 --> 00:10:19.767
Speaker 2: Yeah.
00:10:20.547 --> 00:10:20.907
Yeah.
00:10:22.827 --> 00:10:23.127
Speaker: Yeah.
00:10:23.727 --> 00:10:24.177
Scary.
00:10:24.852 --> 00:10:25.072
Um,
00:10:25.382 --> 00:10:25.912
Speaker 2: very scary.
00:10:26.097 --> 00:10:26.517
Speaker: Oh gosh.
00:10:26.517 --> 00:10:29.277
We have so much to get into,
but before we get into it, yeah,
00:10:29.277 --> 00:10:33.447
let's, this is, this is one of our
favorite segments of the series.
00:10:33.537 --> 00:10:37.077
Um, and so I'm gonna do a little
video to introduce it, and
00:10:37.077 --> 00:10:38.667
then we're gonna jump right in.
00:10:38.667 --> 00:10:39.717
My friends.
00:10:51.282 --> 00:10:52.902
Speaker 4: Live from Share my lesson.
00:10:53.022 --> 00:10:57.222
It's the AI Educator News
update with your hosts, Kelly
00:10:57.222 --> 00:10:59.202
Booze and Sarah Beth Rosenberg.
00:10:59.202 --> 00:11:05.472
Real news, slightly exaggerated,
always AI educator approved.
00:11:15.642 --> 00:11:17.292
Speaker: Okay, we're
jumping right in, you guys.
00:11:17.292 --> 00:11:19.212
This is our AI Educator news web update.
00:11:19.212 --> 00:11:19.852
Um, you know.
00:11:20.577 --> 00:11:24.027
Ripped off of Saturday Night
Lives, um, weekend update.
00:11:24.207 --> 00:11:25.857
So, hi everyone.
00:11:25.857 --> 00:11:27.537
Welcome back to the AI educator Brain.
00:11:27.537 --> 00:11:28.287
It is April.
00:11:28.287 --> 00:11:32.097
We survived the spring, but
spring allergies, the nose
00:11:32.097 --> 00:11:33.507
is, or the jury is still out.
00:11:33.507 --> 00:11:37.257
And I'm saying nose because my nose
is ripped off of the allergies.
00:11:37.887 --> 00:11:41.157
Speaker 2: I don't wanna, I don't wanna
jinx myself, but right now I'm Okay.
00:11:41.157 --> 00:11:46.527
So April is that beautiful window
where every teacher is simultaneously
00:11:46.527 --> 00:11:51.237
counting down to summer and being asked
to submit next year's supply list.
00:11:51.237 --> 00:11:52.737
I haven't been asked that yet.
00:11:53.037 --> 00:11:55.227
In fact, anyway, that's
a different conversation,
00:11:55.767 --> 00:11:57.237
Speaker: although I feel like
that's probably more elementary
00:11:57.237 --> 00:11:58.347
school teachers, in fairness.
00:11:59.157 --> 00:11:59.697
Speaker 2: That's true.
00:11:59.757 --> 00:12:00.237
That's true.
00:12:00.622 --> 00:12:01.092
Speaker: Could be.
00:12:01.232 --> 00:12:03.807
Speaker 3: And meanwhile,
the AI world has been a lot.
00:12:03.867 --> 00:12:05.157
Robots are dying at Disneyland.
00:12:05.157 --> 00:12:06.567
Chachi PT selling ads.
00:12:06.567 --> 00:12:10.047
Boston just told high schoolers
they have to learn AI to graduate.
00:12:11.547 --> 00:12:14.487
Speaker 2: So we gathered the
headlines, we added the jokes.
00:12:14.817 --> 00:12:17.607
These are all real stories, we promise.
00:12:18.762 --> 00:12:19.872
Speaker: With a little bit of our spin.
00:12:19.872 --> 00:12:20.322
Of course.
00:12:20.562 --> 00:12:22.752
Alright, so let's go,
let's jump right into it.
00:12:24.042 --> 00:12:24.282
Speaker 2: Okay.
00:12:24.282 --> 00:12:29.442
So first story is Olaf
Falls down dead at Disney.
00:12:29.652 --> 00:12:30.102
Disney Land.
00:12:30.102 --> 00:12:31.542
Paris, we're we're coming in hot.
00:12:31.542 --> 00:12:32.022
Sorry guys.
00:12:32.382 --> 00:12:33.072
We're coming in real
00:12:33.072 --> 00:12:33.282
Speaker: hot.
00:12:33.282 --> 00:12:34.512
And I I do have the video for this one.
00:12:36.282 --> 00:12:36.702
Speaker 2: You do?
00:12:36.707 --> 00:12:36.837
Okay.
00:12:36.837 --> 00:12:37.572
Do you wanna throw it?
00:12:37.572 --> 00:12:38.262
You wanna throw it up?
00:12:38.267 --> 00:12:38.317
Speaker: Yeah.
00:12:38.322 --> 00:12:38.412
Yeah.
00:12:38.412 --> 00:12:39.912
No fi you fi you finish
and then I'll show.
00:12:40.782 --> 00:12:41.112
Speaker 2: Okay.
00:12:41.712 --> 00:12:46.572
So, Disney's New World of Frozen at
Disneyland Paris, and, uh, featured
00:12:46.572 --> 00:12:50.712
a walking Olaf robot powered by
three computers and trained via
00:12:51.102 --> 00:12:53.717
10, a hundred thousand Nvidia uh,
00:12:55.992 --> 00:12:56.982
simulations.
00:12:57.012 --> 00:13:04.032
It failed after one day, that Monday
all off when catatonic mid-sentence
00:13:04.392 --> 00:13:07.062
toppling over his carrot nose popped off.
00:13:08.907 --> 00:13:09.747
Um, employees.
00:13:10.197 --> 00:13:10.917
The body after,
00:13:11.457 --> 00:13:11.817
Speaker 5: sorry.
00:13:12.057 --> 00:13:12.432
There we go.
00:13:26.062 --> 00:13:27.507
Speaker: That's me on every Monday.
00:13:36.182 --> 00:13:36.472
Okay.
00:13:36.652 --> 00:13:37.552
Oh my God.
00:13:37.612 --> 00:13:38.752
So poor Ola
00:13:40.767 --> 00:13:41.007
Speaker 2: poor.
00:13:41.757 --> 00:13:43.137
And every teacher knows this feeling.
00:13:43.137 --> 00:13:45.027
You spent all weekend on a lesson plan.
00:13:45.237 --> 00:13:46.797
You rehearse, you laminate.
00:13:47.457 --> 00:13:48.747
Oh God, I wish I could laminate.
00:13:48.807 --> 00:13:51.267
And by second period, a
kid has eaten the laminate.
00:13:51.777 --> 00:13:53.607
See, this is why I'm
glad I teach 11th grade.
00:13:56.007 --> 00:13:56.847
Speaker: Oh my goodness.
00:13:56.847 --> 00:13:58.137
Um, yes.
00:13:58.167 --> 00:13:58.617
Okay.
00:13:58.707 --> 00:14:01.272
So, uh, so.
00:14:02.082 --> 00:14:02.322
Chat.
00:14:02.322 --> 00:14:03.432
GPT now has ads.
00:14:03.522 --> 00:14:05.742
You know how Sam Altman, I don't
know if you paid attention,
00:14:05.742 --> 00:14:06.552
Chris, you probably did.
00:14:06.552 --> 00:14:09.162
'cause you pay attention to all
of the things for us, um, said in
00:14:09.162 --> 00:14:13.452
2024 that putting ads in AI was,
and I'm quoting uniquely upsetting,
00:14:13.782 --> 00:14:15.342
unsettling, and a last resort.
00:14:15.372 --> 00:14:18.762
Well, we have finally reached
that last resort in February,
00:14:18.762 --> 00:14:22.692
open as started testing ads and
chat GPT for free tier users.
00:14:22.692 --> 00:14:24.402
The ads appear on the bottom of answers.
00:14:24.402 --> 00:14:25.092
They're contextual.
00:14:25.092 --> 00:14:28.362
So if you're asking about recipes,
you might see ads from meal kits.
00:14:28.452 --> 00:14:31.182
If you're asking about travel,
you might get some hotel deals.
00:14:31.242 --> 00:14:34.422
Or if you're asking about
managing stress, uh, they're gonna
00:14:34.422 --> 00:14:35.892
try to sell you more chat gt.
00:14:37.602 --> 00:14:41.382
Um, or if you're asking for dating
device, it'll tell you to swipe
00:14:41.382 --> 00:14:42.732
left or right, you never know.
00:14:43.722 --> 00:14:46.422
Um, and so there, I'm
just gonna end there.
00:14:47.532 --> 00:14:48.282
That one wasn't as good.
00:14:50.322 --> 00:14:50.712
Speaker 3: Yes.
00:14:50.772 --> 00:14:57.552
Uh, the reason why is OpenAI
will burn through $119 billion.
00:14:58.077 --> 00:14:59.697
By 2029.
00:14:59.697 --> 00:15:01.857
That's how fast they're,
they're burning through money.
00:15:01.857 --> 00:15:03.057
So just, just to be aware of that.
00:15:03.447 --> 00:15:03.717
Um,
00:15:04.647 --> 00:15:04.767
Speaker 5: wow.
00:15:05.427 --> 00:15:05.667
That's
00:15:05.667 --> 00:15:05.937
Speaker 3: crazy.
00:15:05.937 --> 00:15:09.297
Uh, in the meantime, Boston just became
the first major city school district in
00:15:09.297 --> 00:15:13.257
this country to say every high school
student will graduate with AI proficiency.
00:15:13.257 --> 00:15:16.497
Mayor Michelle Wu announced it
late in late March, back by a $1
00:15:16.497 --> 00:15:17.757
million grant for Paul English.
00:15:17.757 --> 00:15:20.757
The guy who founded Kayak and is a
Boston Public Schools graduate himself.
00:15:21.237 --> 00:15:25.827
BPS has partnered with UMass Boston's
AI Institute to develop the curriculum,
00:15:25.827 --> 00:15:27.027
starting with 20 high schools.
00:15:27.027 --> 00:15:30.057
This September, teachers will
be trained as AI ambassadors.
00:15:30.177 --> 00:15:33.717
Students will get access to credit
bearing courses at UMass Boston.
00:15:33.717 --> 00:15:37.377
And of course, the internet reacted
exactly the way you would expect.
00:15:38.427 --> 00:15:40.077
Uh, one sixth grader, the
announcement said he built a
00:15:40.077 --> 00:15:41.157
chat bot for his English class.
00:15:41.157 --> 00:15:43.317
It helps students calm down when
they're stressed about homework.
00:15:43.317 --> 00:15:43.887
He's 11.
00:15:43.887 --> 00:15:46.497
That kid is going to be running
things in about 12 years.
00:15:49.142 --> 00:15:49.362
Speaker: Wow.
00:15:49.527 --> 00:15:51.657
Adobe's Ppy gate.
00:15:51.807 --> 00:15:53.367
And actually, you know, I'm
gonna pause for a second.
00:15:53.367 --> 00:15:55.527
Chris, you live in, you live
in Boston, you're living there?
00:15:56.277 --> 00:15:56.577
Speaker 3: I do.
00:15:56.577 --> 00:15:56.637
Oh
00:15:56.637 --> 00:15:57.087
Speaker 2: yeah.
00:15:57.822 --> 00:15:59.682
Speaker: Yeah, what was the
scuttlebutt on this one?
00:16:00.642 --> 00:16:01.962
Um, aside from our amazing jokes,
00:16:03.582 --> 00:16:06.012
Speaker 3: it it's, it's,
it's late to the party.
00:16:06.012 --> 00:16:11.172
So, uh, the People's Republic of
China, uh, all schools in Beijing are
00:16:11.172 --> 00:16:14.172
teaching AI as early as six years old.
00:16:16.557 --> 00:16:16.777
Speaker: Wow.
00:16:18.717 --> 00:16:18.937
Speaker 2: Wow.
00:16:19.167 --> 00:16:19.992
What, huh?
00:16:20.142 --> 00:16:20.652
Speaker: Okay.
00:16:21.102 --> 00:16:23.202
That's, that is, that's, that's crazy.
00:16:23.712 --> 00:16:26.742
And meanwhile, we're having lots of
conversations about how we need to,
00:16:26.802 --> 00:16:31.842
you know, um, reduce our screen times
with kids here in the United States.
00:16:32.022 --> 00:16:32.472
Okay.
00:16:32.862 --> 00:16:33.432
Um, yes.
00:16:33.432 --> 00:16:35.022
We will get into notebook
element in a second.
00:16:35.022 --> 00:16:35.592
Don't worry.
00:16:35.592 --> 00:16:37.062
Chris has got a great plan for us.
00:16:37.392 --> 00:16:40.872
Alright, so this one's, um, I'm gonna
go with, I'll let you guys decide.
00:16:41.487 --> 00:16:44.757
The Adobe's Ppy gate when the
school AI made the wrong pipi.
00:16:44.817 --> 00:16:48.357
So a fourth grader at the Los Angeles
Elementary School was working on a
00:16:48.357 --> 00:16:52.947
book report and asked Adobe Express or,
um, for education, the AI tool that's
00:16:52.947 --> 00:16:57.147
provided by our school to generate an
image of long stockings, a redheaded
00:16:57.147 --> 00:17:00.087
girl with braids sticking straight out.
00:17:00.537 --> 00:17:03.627
She was describing Ppy Longstocking,
the character from a Swedish children's
00:17:03.627 --> 00:17:05.247
book, which I'm sure we have all done.
00:17:05.637 --> 00:17:11.727
Uh, and the response did not come up
with, uh, exactly what they're doing.
00:17:11.727 --> 00:17:16.027
So basically, a nine-year-old asked her
school's AI to draw Ppy Longstockings,
00:17:16.027 --> 00:17:21.237
and she got Victoria's Secret models
on a school issued Chromebook.
00:17:21.987 --> 00:17:25.647
And let's take a look at
what that really entailed.
00:17:41.052 --> 00:17:45.702
And so this is what was displayed at two
fourth graders based on the description.
00:17:49.722 --> 00:17:50.262
Oh, Lord.
00:17:50.502 --> 00:17:50.592
Speaker 2: Wow.
00:17:50.772 --> 00:17:51.912
Speaker: I just can't, I just can't.
00:17:53.202 --> 00:17:53.562
Speaker 2: Wow.
00:17:54.492 --> 00:17:54.792
Speaker: Yeah.
00:17:55.782 --> 00:17:57.072
Speaker 2: Okay, cool.
00:17:57.072 --> 00:18:05.022
So segueing to this New York City,
New York wants to, um, open an AI
00:18:05.022 --> 00:18:07.962
high school parents have questions.
00:18:08.322 --> 00:18:11.352
New York City's Department of
Education proposed opening a brand
00:18:11.352 --> 00:18:16.452
new AI focused high school called Next
Generation Technology High School.
00:18:17.397 --> 00:18:21.417
It was announced in late February,
and it's going to open this fall by
00:18:21.417 --> 00:18:26.307
the way, and would use Google, uh,
Google AI powered skills platform
00:18:26.607 --> 00:18:28.287
as a major part of its curriculum.
00:18:28.287 --> 00:18:31.377
The school's website used language
that was, how do we put this?
00:18:31.557 --> 00:18:37.587
Nearly identical to Google's
own marketing, uh, copy.
00:18:38.247 --> 00:18:42.927
And parents from three collated
schools, um, at the proposed
00:18:42.927 --> 00:18:44.427
sites sent hundreds of letters.
00:18:44.427 --> 00:18:49.677
As you caner imagine, the panel for
educational policy had questions.
00:18:50.037 --> 00:18:53.637
The high school offers, um, had
already gone out to eighth graders
00:18:53.637 --> 00:18:56.247
before the school was even approved.
00:18:56.277 --> 00:18:56.457
Yeah.
00:18:56.457 --> 00:18:59.967
'cause I know all the kids have decided,
you know, gotten their, um, offerings.
00:19:00.777 --> 00:19:01.347
Um.
00:19:03.057 --> 00:19:05.097
Yeah, we, and on.
00:19:05.097 --> 00:19:08.247
Yeah, I mean, and also like
speaking of ai, we have our first
00:19:08.247 --> 00:19:09.807
ever guidance here in New York.
00:19:09.807 --> 00:19:11.277
We can talk more about that later.
00:19:11.697 --> 00:19:15.447
But the chancellor said AI is here and
our responsibility is to put strong
00:19:15.447 --> 00:19:21.147
system-wide safeguards in place, which
is true, but it's also 2026 and chat.
00:19:21.177 --> 00:19:23.157
DPT came out in 2022.
00:19:23.157 --> 00:19:27.777
So here has been here for a while
and as all teachers in this chat
00:19:27.777 --> 00:19:31.077
right now and people who work with
kids, it's definitely with them.
00:19:31.077 --> 00:19:33.447
So, um, I'm glad we're doing it now, but,
00:19:34.587 --> 00:19:37.047
Speaker: hmm, we're all playing catch
up and then as soon as we play catch
00:19:37.047 --> 00:19:39.447
up, it changes and does a new skill.
00:19:42.277 --> 00:19:46.512
Speaker 3: Uh, an roic, the makers of
Claude unveiled mythos their newest
00:19:46.512 --> 00:19:49.902
model, so proficient at discovering and
exploring software vulnerabilities that
00:19:49.902 --> 00:19:51.162
will not be released to the public.
00:19:51.162 --> 00:19:55.482
In the, it dis autonomously identified
thousands of flaws across major
00:19:55.482 --> 00:19:59.832
operating systems and browses, including
bugs that have been in a place in
00:19:59.982 --> 00:20:04.362
critical infrastructure software
for 27 years, and successfully not
00:20:04.362 --> 00:20:08.982
only exploited them, but managed to
break out of its own containment.
00:20:08.982 --> 00:20:11.742
It was in its own little container
and it managed to figure out how to
00:20:11.742 --> 00:20:12.912
break out of its own containment.
00:20:13.062 --> 00:20:15.882
Oh, uh, an anthrop has been o said that
will not be released to the public.
00:20:15.882 --> 00:20:19.662
It will instead, uh, be used for
research and only, uh, with certain
00:20:19.662 --> 00:20:21.492
approved national security partners.
00:20:22.392 --> 00:20:23.472
Uh, this model, by the
00:20:23.472 --> 00:20:24.852
Speaker: way, which is not gonna be
the federal government by the way.
00:20:25.722 --> 00:20:30.252
Speaker 3: This model, by the way, is the
first model, it's called a looping LLM.
00:20:30.312 --> 00:20:35.262
It is the first one of its kind that
it can run autonomously for up to 24
00:20:35.262 --> 00:20:39.042
hours at a time with over 50 sub agents.
00:20:39.372 --> 00:20:44.592
So it's basically an entire team that
can go out and do things, uh, on its own.
00:20:44.592 --> 00:20:46.242
That's why it is so successful.
00:20:46.482 --> 00:20:52.842
It is, uh, this past week, by the way, it
was two weeks ago, um, the, uh, Chinese AI
00:20:52.842 --> 00:20:57.102
company, PUI, uh, AI, released a GLM 5.1,
00:20:57.102 --> 00:21:00.552
which can do about the same
thing on an eight hour time span.
00:21:00.852 --> 00:21:06.132
Uh, and it, that one, unlike ops is
available, it is free to use, uh,
00:21:06.132 --> 00:21:08.952
and is, uh, and, and is in use now.
00:21:10.422 --> 00:21:11.202
Speaker: Wow.
00:21:11.322 --> 00:21:11.862
Okay.
00:21:12.252 --> 00:21:15.432
Well, that my friends,
is your AI news update.
00:21:16.912 --> 00:21:21.072
Speaker 2: Remember, AI can now
find bugs that, hi, for 27 years,
00:21:21.432 --> 00:21:23.202
guess your age from your bedtime.
00:21:23.292 --> 00:21:23.622
Ooh.
00:21:23.862 --> 00:21:27.522
And generate ads inside
your homework helper.
00:21:28.872 --> 00:21:29.202
Speaker: Great.
00:21:29.382 --> 00:21:30.672
But it can still drop if you belong.
00:21:30.672 --> 00:21:34.932
Stocking, survive a Monday or open
a high school on a normal timeline.
00:21:36.192 --> 00:21:37.422
Speaker 2: All right,
we'll see you next time.
00:21:40.242 --> 00:21:40.632
Speaker: Okay,
00:21:40.752 --> 00:21:41.112
Speaker 2: that feels
00:21:41.112 --> 00:21:41.712
Speaker: ominous.
00:21:42.642 --> 00:21:44.142
I know it does a little bit.
00:21:45.252 --> 00:21:48.492
So we, we always talk about
what's happening when the AI news,
00:21:48.492 --> 00:21:49.482
there's always something new.
00:21:49.482 --> 00:21:50.652
It's moving super fast.
00:21:50.652 --> 00:21:54.132
And, uh, this is where we bring Chris
in to like, keep us sane, which is
00:21:54.132 --> 00:21:58.302
actually hysterical since, uh, you
know, Chris, Chris will go off on
00:21:58.302 --> 00:21:59.622
various tangents and here we go.
00:21:59.622 --> 00:22:00.702
Chris, we're turning it over to you.
00:22:00.702 --> 00:22:01.422
Notebook, lm.
00:22:01.482 --> 00:22:05.442
Alright, every, like of all of
the tools, this is by far the
00:22:05.442 --> 00:22:08.022
one I hear the most from are
educators that they love the most.
00:22:08.022 --> 00:22:08.032
Yeah.
00:22:08.637 --> 00:22:10.167
Speaker 3: Yes, notebook, lm.
00:22:10.167 --> 00:22:12.027
So let's, let's dig into this.
00:22:12.027 --> 00:22:14.397
What is this thing and why
are we talking about it?
00:22:14.457 --> 00:22:17.307
So, notebook LM is a product from Google.
00:22:17.487 --> 00:22:20.547
It is available in two versions,
a free version and a paid version.
00:22:20.877 --> 00:22:25.527
The, uh, they both have
surprisingly good data security.
00:22:25.527 --> 00:22:30.567
However, please, uh, adhere to, uh,
common sense and basic rules that
00:22:30.567 --> 00:22:35.367
say do not ever, uh, upload sensitive
data such as student information,
00:22:35.367 --> 00:22:36.357
et cetera, into these tools.
00:22:36.687 --> 00:22:41.097
What this tool is, is unique
about in terms of AI tools is
00:22:41.097 --> 00:22:43.917
that you have to provide the data.
00:22:44.187 --> 00:22:46.287
It does not come with any data preloaded.
00:22:46.287 --> 00:22:49.407
This is an example of a brand new
notebook where there's nothing in here.
00:22:49.737 --> 00:22:52.647
And if you were to start chatting
with, it'd be like, so you haven't
00:22:52.647 --> 00:22:56.517
given me anything to work with,
therefore I can't do anything.
00:22:57.207 --> 00:23:03.207
Um, notebook LM enables you to
chat with your data so you can, you
00:23:03.207 --> 00:23:04.827
load data into it and then it will.
00:23:05.142 --> 00:23:08.802
Interrogate the data you've given
it and then allow you to create
00:23:08.802 --> 00:23:11.472
information products or ask it questions.
00:23:12.042 --> 00:23:16.632
Some of the use cases that people use it
for outside of work, uh, really powerful.
00:23:16.842 --> 00:23:21.672
You can go onto places like the National
Institute of Health or archive.org
00:23:21.852 --> 00:23:25.932
or any place where there's peer reviewed
research, download things like medical
00:23:25.932 --> 00:23:29.322
papers, load them in here, and then
ask questions like, Hey, I have,
00:23:29.322 --> 00:23:32.382
I see this new paper on GLP ones.
00:23:32.382 --> 00:23:33.372
Explain this to me.
00:23:33.372 --> 00:23:34.362
What does this thing mean?
00:23:34.362 --> 00:23:36.162
Why is this discovery significant?
00:23:36.462 --> 00:23:40.782
So it's a great tool for both
educators professionally as well as
00:23:40.782 --> 00:23:47.112
students to be able to get data, uh,
that they have explained to them.
00:23:47.562 --> 00:23:49.842
So today what we're gonna do is
gonna go through some of the basics
00:23:49.842 --> 00:23:51.642
of the tool and what it can do.
00:23:52.347 --> 00:23:55.497
And the use cases where an educator
would would want to use it,
00:23:55.497 --> 00:23:57.267
particularly its information outputs.
00:23:57.687 --> 00:23:59.157
The interface comes with three parts.
00:23:59.157 --> 00:24:02.847
On the left hand side is the
sources where you put information
00:24:02.847 --> 00:24:04.407
in and is of course is the default.
00:24:04.677 --> 00:24:09.447
The middle is a chat box similar to chat,
GPT and Gemini and all these other tools.
00:24:09.687 --> 00:24:12.357
And on the right hand side is what
is called the studio where you
00:24:12.357 --> 00:24:13.797
can make information products.
00:24:14.427 --> 00:24:17.937
I'm gonna start by feeding
it, uh, a textbook.
00:24:17.967 --> 00:24:23.247
So I have, uh, I don't have
a, a math textbook handy, so I
00:24:23.247 --> 00:24:24.747
used Claude Code to write one.
00:24:24.807 --> 00:24:27.807
Uh, I pulled the entire Common
Core curriculum and said, write
00:24:27.807 --> 00:24:29.487
me a sixth grade math textbook.
00:24:29.487 --> 00:24:29.907
And it did.
00:24:30.177 --> 00:24:31.467
It also made lesson plans.
00:24:31.467 --> 00:24:33.357
It also made a workbook to go with it.
00:24:33.357 --> 00:24:33.987
Very helpful.
00:24:34.197 --> 00:24:36.597
Still not the most exciting
thing in the world.
00:24:37.497 --> 00:24:37.827
Speaker: Oh my gosh.
00:24:37.827 --> 00:24:40.917
Chris, are you willing to share that
with us so we can share with, um, with
00:24:40.917 --> 00:24:42.327
these folks and get some feedback on it?
00:24:42.897 --> 00:24:43.857
Speaker 3: Yeah, absolutely.
00:24:43.857 --> 00:24:45.657
Um, it's not done like there.
00:24:45.657 --> 00:24:49.107
You'll notice, uh, there are places in
the textbook that says like, there's,
00:24:49.137 --> 00:24:52.107
there's an image prompt here to generate
the image and that we have not done that.
00:24:52.407 --> 00:24:53.072
Um, mm-hmm.
00:24:53.292 --> 00:24:57.867
But it is, uh, as far as what
I liked about it in particular
00:24:57.867 --> 00:25:00.837
is that it also tells you which
of the common core requirements
00:25:00.897 --> 00:25:02.277
this particular chapter meets.
00:25:04.017 --> 00:25:04.647
Speaker: Interesting.
00:25:05.367 --> 00:25:05.757
Speaker 3: Yes.
00:25:06.267 --> 00:25:11.877
So if I were to, if I wanna show how this
software works, I would need to put this
00:25:11.877 --> 00:25:16.707
textbook, which is all in just regular
HTML files as webpage into Notebook lm.
00:25:17.307 --> 00:25:22.107
And what you'll get when you, uh,
when you do this, is you can see all
00:25:22.107 --> 00:25:24.207
of the files on the left hand side.
00:25:24.987 --> 00:25:27.327
You can see the chat in the middle.
00:25:27.417 --> 00:25:30.807
And by the way, if there's stuff that
you don't have access to, you can use
00:25:30.807 --> 00:25:34.407
Google's research facility, whether
it's called deep research or fast
00:25:34.407 --> 00:25:36.567
research to bring in extra sources.
00:25:37.017 --> 00:25:37.137
Um.
00:25:38.202 --> 00:25:41.982
I don't need to do that 'cause I provided
an entire textbook and I could chat with
00:25:41.982 --> 00:25:44.202
this and I could say, for example, um,
00:25:46.212 --> 00:25:51.222
is the historical background of
algebra, where did it come from?
00:25:51.732 --> 00:25:52.032
Hmm.
00:25:53.352 --> 00:25:54.822
And we'll put that in here.
00:25:55.152 --> 00:26:00.912
And like any chat bot, it will
go to my textbook and it will
00:26:00.912 --> 00:26:02.982
say, here's what you provided.
00:26:02.982 --> 00:26:05.472
We know it is from, uh,
Iran, it's from Persia.
00:26:05.682 --> 00:26:08.652
Uh, a ninth, I think it was a
ninth century mathematician.
00:26:08.652 --> 00:26:11.862
The, it was known from the
man from Qua, uh, which is
00:26:11.862 --> 00:26:13.002
where we get the word algebra.
00:26:13.332 --> 00:26:18.342
And uh, and it was, it was a Persian
mathematician who, who basically
00:26:18.342 --> 00:26:23.532
created the idea of, of solving, oh,
here Mohammed, even Musa qua, the
00:26:23.532 --> 00:26:27.102
man from Qua, uh, that determines,
derive from the phrase algebra, which
00:26:27.102 --> 00:26:29.382
means to the reunion of broken parts.
00:26:29.382 --> 00:26:32.202
And this is what it
does that I really like.
00:26:32.967 --> 00:26:36.177
You will notice there are
citations in the text.
00:26:36.177 --> 00:26:40.917
So when you upload a, a document and
you tap on uh, something, it will tell
00:26:40.917 --> 00:26:43.557
you, here's where I got this from.
00:26:43.557 --> 00:26:46.887
So, um, if you're not sure,
like, Hey, it's, you said
00:26:46.887 --> 00:26:47.877
something kind of weird there.
00:26:47.877 --> 00:26:49.467
Where did you get this information from?
00:26:49.467 --> 00:26:52.317
And it will say, I got this from
chapter six in the textbook.
00:26:52.587 --> 00:26:56.007
So it grounds what it does in the text.
00:26:56.007 --> 00:26:56.757
You provided it,
00:26:59.937 --> 00:27:03.927
okay, so already pretty useful.
00:27:03.927 --> 00:27:09.297
You load data into it, you can then
talk to your data, ask it questions.
00:27:09.297 --> 00:27:14.787
You can, uh, you can pull it, you can
uh, uh, ask it to explain things in a
00:27:14.787 --> 00:27:16.437
different format if you don't understand.
00:27:16.947 --> 00:27:22.197
But then where we get into some really
cool value is the educational product side
00:27:22.377 --> 00:27:24.087
on the right hand side called the studio.
00:27:24.927 --> 00:27:25.707
In the studio.
00:27:25.977 --> 00:27:29.007
As of today, there are nine
different outputs you can.
00:27:29.922 --> 00:27:35.652
Audio overviews, which are like
podcasts, slide decks, video overviews,
00:27:35.862 --> 00:27:43.002
mind maps, reports, flashcards,
quizzes, infographics and data tables.
00:27:43.752 --> 00:27:48.462
And these things are, you, you
give them prompts just like you
00:27:48.462 --> 00:27:50.502
do in, you know, any form of ai.
00:27:51.012 --> 00:27:56.022
And they can generate OutCo
outputs that are, are really cool.
00:27:56.022 --> 00:27:57.702
So let's look at a couple of examples.
00:27:58.062 --> 00:28:04.842
Um, I made this textbook, the sixth
grade textbook to be Minecraft themed,
00:28:04.962 --> 00:28:09.192
because that's what, you know, uh,
the, the, the, at least I'm told that's
00:28:09.192 --> 00:28:10.452
what the kids think is cool these days.
00:28:10.722 --> 00:28:11.232
Mm-hmm.
00:28:11.238 --> 00:28:12.342
I, I wouldn't know.
00:28:12.342 --> 00:28:12.882
I'm not cool.
00:28:13.002 --> 00:28:13.182
Uh,
00:28:16.302 --> 00:28:16.872
so let's look, you're
00:28:16.872 --> 00:28:17.232
Speaker: geeky.
00:28:17.232 --> 00:28:17.622
Cool.
00:28:17.712 --> 00:28:18.102
You're geeky.
00:28:18.102 --> 00:28:18.282
Cool.
00:28:18.287 --> 00:28:18.507
Speaker 3: I take
00:28:18.507 --> 00:28:19.227
Speaker: it you're cooler than us,
00:28:20.022 --> 00:28:20.532
Speaker 3: I suppose.
00:28:20.532 --> 00:28:23.622
So, so let, let's take a look at
this slide deck that it created
00:28:23.622 --> 00:28:24.882
from just chapter, I mean,
00:28:25.062 --> 00:28:25.427
Speaker 2: sorry, Kelly.
00:28:26.142 --> 00:28:26.532
Speaker: You're cool.
00:28:28.602 --> 00:28:31.272
Speaker 3: Um, so this is
chapter nine, solving Equations,
00:28:31.272 --> 00:28:32.862
the Mathematics of Balance.
00:28:33.072 --> 00:28:38.232
And it says here, this is the, some of
the core tenets from this, uh, chapter.
00:28:38.232 --> 00:28:39.672
An equation is a statement of balance.
00:28:39.672 --> 00:28:41.352
To win a game, you have
to keep the scale level.
00:28:41.532 --> 00:28:44.142
The equal side means is both
sides carry the exact same weight.
00:28:44.802 --> 00:28:47.322
The variable is the mystery chest, right?
00:28:47.322 --> 00:28:49.062
A variable represents an unknown number.
00:28:49.092 --> 00:28:50.082
It's like a sealed chest.
00:28:50.082 --> 00:28:53.262
You don't know what's inside, but
you gotta figure out what it means.
00:28:53.772 --> 00:28:57.372
And to solve an equation, you find the
value that makes the statement true.
00:28:58.002 --> 00:29:02.892
You figure out what's in the
chest and the textbook itself.
00:29:02.922 --> 00:29:07.392
I generated using academic papers
from the last 10 years about how to
00:29:07.392 --> 00:29:11.562
do things like a cognitive scaffolding
and motivational scaffolding, uh,
00:29:11.562 --> 00:29:13.332
CRA instructional style and stuff.
00:29:13.332 --> 00:29:18.432
And that bleeds through into the way
that notebook produces its stuff.
00:29:18.432 --> 00:29:22.692
So takes you from a, a Minecraft
visualization to a representation
00:29:22.992 --> 00:29:25.067
to the abstract and then.
00:29:26.007 --> 00:29:30.327
Obviously it goes through, uh, the
rest of the entire, uh, chapter.
00:29:31.257 --> 00:29:33.687
It, this is a pretty decent slide deck.
00:29:33.687 --> 00:29:36.657
It's certainly better than what you're
gonna find in your average textbook.
00:29:37.227 --> 00:29:41.277
Well, I'm assuming this, uh, sorry, Beth,
I would actually look to you for you to
00:29:41.277 --> 00:29:44.247
tell me, is this better or worse than
what you get in your average textbook?
00:29:46.647 --> 00:29:51.387
Speaker 2: I would be more likely
to learn math with this personally.
00:29:53.337 --> 00:29:54.507
What does everyone else think?
00:29:55.827 --> 00:29:57.597
Speaker: Yeah, that's a great question
because I mean, you're, you're,
00:29:57.597 --> 00:30:01.527
you're coming from this, from a, you
know, social studies history teacher.
00:30:01.647 --> 00:30:03.747
Um, you know, math is not
00:30:04.767 --> 00:30:04.977
Speaker 2: your
00:30:04.977 --> 00:30:05.727
Speaker: focus area.
00:30:06.147 --> 00:30:08.037
Um, I mean, I used to
be really great at math.
00:30:08.037 --> 00:30:11.997
I actually think this would help
me help my 13-year-old and, um,
00:30:12.117 --> 00:30:14.277
10-year-old remember some of this stuff.
00:30:14.667 --> 00:30:14.727
Speaker 2: Yeah.
00:30:14.847 --> 00:30:21.267
I wish I had this when I was in high
school because, I mean, I was a nerd.
00:30:21.672 --> 00:30:27.042
Geek and I got good grades, but I
don't think I ever fully understood
00:30:27.072 --> 00:30:31.212
math in a way that I wish I did.
00:30:31.272 --> 00:30:35.382
I did it to do well in the test, but
this would make me actually understand.
00:30:35.382 --> 00:30:36.552
It feels more tangible.
00:30:36.612 --> 00:30:36.672
Yeah.
00:30:36.672 --> 00:30:38.202
What does everyone else think in the chat?
00:30:38.592 --> 00:30:39.702
Jamie says better.
00:30:39.762 --> 00:30:40.212
Speaker: Yeah.
00:30:41.142 --> 00:30:44.172
And if you don't wanna type in the chat,
give us, um, use your little emojis.
00:30:44.172 --> 00:30:44.832
Give us a little emojis.
00:30:45.402 --> 00:30:45.912
Speaker 2: Yeah.
00:30:45.912 --> 00:30:46.632
Speaker: Know what's working.
00:30:46.632 --> 00:30:47.292
What do you, like?
00:30:48.642 --> 00:30:52.002
Speaker 2: Heart says you think
this is better than your average.
00:30:52.032 --> 00:30:52.242
Speaker: Yeah.
00:30:52.782 --> 00:30:54.432
Speaker 2: McGraw Hill or whatever.
00:30:54.612 --> 00:30:54.882
Yeah.
00:30:54.882 --> 00:30:57.492
It looks more contemporary
and students will relate.
00:30:57.492 --> 00:30:58.152
I agree.
00:30:58.932 --> 00:30:59.142
Speaker 3: Yep.
00:30:59.682 --> 00:30:59.802
And
00:30:59.802 --> 00:31:00.402
Speaker 2: you can see here
00:31:00.402 --> 00:31:00.822
Speaker 3: for this.
00:31:01.662 --> 00:31:04.482
For this slide deck you can download
as a PDF, you can download as a
00:31:04.482 --> 00:31:07.362
PowerPoint, so you can take it out of
here and bring it into other systems.
00:31:07.362 --> 00:31:08.922
So that's one of the outputs.
00:31:09.102 --> 00:31:09.192
Oh, wow.
00:31:09.252 --> 00:31:13.062
Another output, uh, in
here is infographics.
00:31:13.122 --> 00:31:15.672
So you can take an info, you
can take the same prompt to say,
00:31:15.672 --> 00:31:18.462
give me this lessons key concept.
00:31:18.462 --> 00:31:22.722
So chapter nine's key concept, which is
balancing in algebra as an infographic.
00:31:22.812 --> 00:31:25.182
I said, make it, you know,
Lego and Minecraft themed.
00:31:25.182 --> 00:31:29.082
It did, you can remix it into pretty
much anything by giving it a prompt.
00:31:29.412 --> 00:31:32.712
Um, this is, so this is how to,
this is sort of the, the core
00:31:32.712 --> 00:31:34.362
tenet of this particular lesson.
00:31:35.592 --> 00:31:37.602
Speaker: Wow, that's so interesting.
00:31:37.632 --> 00:31:41.022
I mean, I actually wonder, you know,
so Sarah Beth and like some of our, you
00:31:41.022 --> 00:31:45.852
know, I know you're US history, but I
wonder for other teachers, um, on here,
00:31:46.002 --> 00:31:48.972
you know, if you could use, you know, a
lesson plan that's been pride and true
00:31:48.972 --> 00:31:52.722
that you've used for a long time and feed
it into this model to then, you know,
00:31:52.722 --> 00:31:54.192
create some of these different graphics.
00:31:55.377 --> 00:31:56.007
Speaker 2: Yeah, exactly this.
00:31:56.757 --> 00:31:59.967
I love this because this is
helping me because I've used it
00:32:00.177 --> 00:32:05.037
on, on Google classrooms, but it's
created the graphics, it's used.
00:32:05.037 --> 00:32:08.997
See, my students are really, they,
uh, this is like my ongoing thing
00:32:08.997 --> 00:32:12.207
that they think that they get
mad about ai, but they get mad.
00:32:12.207 --> 00:32:15.507
Mostly they don't like that, kind
of like the AI that Trump uses.
00:32:15.807 --> 00:32:18.447
So if they, if it was like
Legos or something, I think
00:32:18.447 --> 00:32:19.767
they would be more into it.
00:32:20.697 --> 00:32:21.117
Speaker 3: Mm-hmm.
00:32:22.227 --> 00:32:24.777
Um, so let's look at a couple
other things you can generate.
00:32:24.837 --> 00:32:26.847
Uh, it can generate audio.
00:32:26.847 --> 00:32:27.717
Lemme just make sure.
00:32:27.717 --> 00:32:29.067
I think I have audio sharing.
00:32:29.067 --> 00:32:29.967
Janan, let's find out.
00:32:30.837 --> 00:32:31.077
Speaker 6: Cool.
00:32:31.497 --> 00:32:35.337
Think of a variable as just a sealed
bag holding an unknown quantity picture.
00:32:35.337 --> 00:32:38.847
Destiny placing a chest containing an
unknown number of Minecraft blocks on the
00:32:38.847 --> 00:32:40.947
left side of a physical pan balance scale.
00:32:41.217 --> 00:32:43.017
Now why do we even need algebra?
00:32:43.017 --> 00:32:45.957
If we can just guess the number
in our heads, well guessing
00:32:45.957 --> 00:32:47.337
completely crashes and burns.
00:32:47.337 --> 00:32:49.827
The second and answer involves
messy fractions or decimals.
00:32:50.097 --> 00:32:50.547
Second.
00:32:51.357 --> 00:32:52.437
Speaker 3: So again.
00:32:52.812 --> 00:32:57.402
It cr in this case it created
a 92nd, uh, information brief.
00:32:57.462 --> 00:33:00.612
Uh, and when you create these things,
well, we'll talk about how to create
00:33:00.612 --> 00:33:05.172
them in a second, but you can create
anywhere from, um, 90 seconds, two
00:33:05.172 --> 00:33:09.732
minutes, all the way up to like a half
hour vigorous debate, uh, as a podcast.
00:33:10.122 --> 00:33:12.192
Another thing it does, it makes videos.
00:33:12.462 --> 00:33:14.802
Um, so let's go ahead and roll this here.
00:33:15.672 --> 00:33:19.332
Speaker 7: Destiny needs to compare
the total number of Minecraft blocks
00:33:19.332 --> 00:33:21.402
hidden inside two separate crates.
00:33:21.792 --> 00:33:26.202
Crate A contains exactly five loose
blocks and a sealed bag holding an
00:33:26.202 --> 00:33:28.152
unknown number of items we can't see.
00:33:28.752 --> 00:33:33.972
Crate B is much simpler holding exactly
14 loose blocks with no hidden containers.
00:33:34.482 --> 00:33:37.872
To find the relationship between
these two crates, we rely on a
00:33:37.872 --> 00:33:39.462
physical tool to prove their weight.
00:33:40.002 --> 00:33:43.272
When we place crate A on the left
pan and crate B on the right,
00:33:43.602 --> 00:33:45.102
the scale sits perfectly left.
00:33:45.762 --> 00:33:47.862
Both sides carry exact same value.
00:33:48.447 --> 00:33:51.387
You could try to guess what's
in the bag, but that guesswork
00:33:51.387 --> 00:33:52.797
fails the moment numbers become.
00:33:53.577 --> 00:33:56.697
Speaker 3: So those, the videos,
it creates, uh, between two and 10
00:33:56.697 --> 00:33:58.137
minutes long depending on the topic.
00:33:58.677 --> 00:34:02.337
And then finally, in terms of education
support, it will do things like generate
00:34:02.337 --> 00:34:05.877
actual quizzes that you can test,
uh, that you can take, you can, um,
00:34:05.937 --> 00:34:09.957
uh, these are interactive within the
tool, uh, which is helpful just to be
00:34:09.957 --> 00:34:11.247
able to see the quizzes themselves.
00:34:11.457 --> 00:34:13.257
It will generate flashcards.
00:34:13.257 --> 00:34:17.247
So, uh, for example, what mathematical
statement uses an equal sign to show that
00:34:17.247 --> 00:34:19.437
two expressions are equal of an equation.
00:34:19.797 --> 00:34:22.257
Uh, Marcus calls a variable
of value variable that makes
00:34:22.257 --> 00:34:24.147
the equation true, a solution.
00:34:25.017 --> 00:34:27.717
Uh, and you know, that is again,
derived from the textbooks.
00:34:27.957 --> 00:34:33.567
And finally, you've got a big, um, work,
like in this case, an entire textbook.
00:34:34.332 --> 00:34:38.652
It will create mind maps that you
can then explore and look at the
00:34:38.652 --> 00:34:40.872
individual pieces and then tap on that.
00:34:40.872 --> 00:34:44.832
And it will be, it will tell you a sort
of a summary of that particular document.
00:34:45.132 --> 00:34:48.732
So these are the things that notebook
element can do with data that you give
00:34:48.732 --> 00:34:53.022
it, which is one of the reasons why we
like it so much because you can upload an
00:34:53.022 --> 00:34:56.622
individual lesson plan, you can upload an
entire chapter, or in my case, I uploaded
00:34:56.622 --> 00:34:59.082
an entire math textbook into the system.
00:34:59.742 --> 00:35:04.512
Um, in terms of limits, uh, it
can hold each individual notebook.
00:35:04.572 --> 00:35:08.592
LM notebook can hold up on the
free version, up to 50 documents
00:35:08.742 --> 00:35:10.152
on the paid version up to 300.
00:35:10.272 --> 00:35:13.542
And each document can be
about 50 megabytes of text.
00:35:13.752 --> 00:35:19.272
Uh, you can also load images, audio files,
YouTube videos, uh, and web pages as well.
00:35:19.887 --> 00:35:20.427
And so that's
00:35:20.427 --> 00:35:20.547
Speaker: Chris.
00:35:20.547 --> 00:35:21.067
Lemme pause you.
00:35:21.162 --> 00:35:23.922
Let me pause you that, um, say that
again in terms of what the free,
00:35:23.982 --> 00:35:25.242
the free versus the paid version.
00:35:25.242 --> 00:35:27.102
'cause that is a common question we get.
00:35:27.102 --> 00:35:28.122
Do we have to pay for this?
00:35:28.152 --> 00:35:28.302
Yes.
00:35:28.362 --> 00:35:31.362
Um, 'cause as we know, our educators
are not paid nearly the month
00:35:31.512 --> 00:35:32.922
enough that you guys deserve.
00:35:33.402 --> 00:35:33.672
Speaker 5: Yeah,
00:35:33.762 --> 00:35:34.122
Speaker 3: that's right.
00:35:34.422 --> 00:35:39.642
So the free version, uh, lets you
upload 50 documents in a notebook.
00:35:39.672 --> 00:35:44.502
The paid version lets you upload
300, um, additional limits.
00:35:44.502 --> 00:35:48.582
The free version does not give
you access to audio or video.
00:35:48.732 --> 00:35:51.972
Um, it, it will not let you generate
those 'cause that costs Google a fair
00:35:51.972 --> 00:35:53.862
amount of, of com uh, computation time.
00:35:54.162 --> 00:35:56.502
Uh, it can do like the
flashcards in the quizzes.
00:35:57.012 --> 00:35:57.102
Mm-hmm.
00:35:57.342 --> 00:36:00.732
The paid version, uh, is $20 per month.
00:36:02.907 --> 00:36:03.087
Speaker: Hmm.
00:36:03.177 --> 00:36:03.477
Okay.
00:36:03.657 --> 00:36:07.887
And so the 50, so the 50 doc, is
that 50 documents just limited across
00:36:07.887 --> 00:36:11.247
all of Notebook lm, so, or is it per
No, it's per notebook per project.
00:36:11.307 --> 00:36:12.147
So it's per notebook.
00:36:12.147 --> 00:36:17.547
So like, let's say you're doing, um,
something on a unit on uh, ratios.
00:36:17.547 --> 00:36:22.077
You can have a notebook and up to 50
attachments there, and then you have a
00:36:22.077 --> 00:36:26.187
no new one on, I don't know, um, area.
00:36:26.547 --> 00:36:27.867
You can do a separate notebook there.
00:36:28.497 --> 00:36:29.187
Speaker 3: Yep, that's correct.
00:36:29.187 --> 00:36:32.637
And if your district is a Google
Workspace district, you have Google for
00:36:32.637 --> 00:36:35.637
education, you have, you automatically
have the paid version of Notebook.
00:36:37.197 --> 00:36:38.697
Speaker: Ah, very cool.
00:36:38.697 --> 00:36:39.237
Very cool.
00:36:39.402 --> 00:36:39.822
Mm-hmm.
00:36:41.162 --> 00:36:45.237
Speaker 3: Um, so now one of the
things to know about this tool is that
00:36:45.297 --> 00:36:49.467
underneath the hood, it is entirely
powered by Google's Gemini three model.
00:36:49.707 --> 00:36:50.697
So if you know.
00:36:51.042 --> 00:36:52.002
How to prompt?
00:36:52.002 --> 00:36:56.952
Well, you can, um, you can generate
really, really useful materials.
00:36:57.582 --> 00:37:03.102
Any of these, uh, chiclets in the studio
here that have an arrow next to them that
00:37:03.102 --> 00:37:07.182
indicates that you can customize, um,
what it is that you're going to generate.
00:37:07.182 --> 00:37:09.792
So, for example, if I tap on the
infographic here, gonna tap on the
00:37:09.792 --> 00:37:12.732
little arrow, it will bring up options.
00:37:12.732 --> 00:37:14.202
How do you want to customize it?
00:37:14.652 --> 00:37:16.812
And it has a little prompt area here.
00:37:17.502 --> 00:37:19.302
This prompt area is deceptive.
00:37:19.332 --> 00:37:19.812
It looks like.
00:37:19.842 --> 00:37:21.252
Oh, make it something short and sweet.
00:37:21.252 --> 00:37:25.962
You don't have to, you can put up to
10,000 characters, uh, as a prompt there.
00:37:26.742 --> 00:37:30.492
So to give you an example of
what kind of prompt you might,
00:37:30.642 --> 00:37:32.832
that I, I used four things here.
00:37:33.132 --> 00:37:37.512
Uh, I created a prompt that
went that, uh, let me, yeah,
00:37:37.632 --> 00:37:38.922
I'll just talk it through here.
00:37:39.252 --> 00:37:43.692
Uh, I'll put this in that says, actually,
you know, I can do it in Google Docs.
00:37:43.722 --> 00:37:50.532
Let's make a new document here, share
this tab and we'll make this bigger.
00:37:52.002 --> 00:37:54.462
So this is an example of
the prompt that I created.
00:37:54.462 --> 00:37:57.522
It says, let's create key concepts
from the source you, the media type.
00:37:57.522 --> 00:37:59.772
And I just, this is all arbitrary.
00:37:59.952 --> 00:38:02.352
So this is, there's nothing
super special about this.
00:38:02.357 --> 00:38:03.492
This is just purely arbitrary.
00:38:03.672 --> 00:38:07.362
I use these little bracketed things
to help the AI model understand, oh,
00:38:07.362 --> 00:38:11.052
this is, this section is different
than the other sections of the prompt.
00:38:11.592 --> 00:38:12.497
So, so we don't have,
00:38:12.497 --> 00:38:15.017
Speaker: have to, so people don't, people
don't have to remember to put that in
00:38:15.677 --> 00:38:16.057
Speaker 3: in their past.
00:38:16.057 --> 00:38:16.602
No, not at all.
00:38:17.052 --> 00:38:17.262
Speaker 2: Oh,
00:38:17.262 --> 00:38:17.272
Speaker 3: okay.
00:38:17.317 --> 00:38:17.577
Not at
00:38:17.647 --> 00:38:17.937
Speaker: good.
00:38:18.852 --> 00:38:19.002
Okay.
00:38:19.007 --> 00:38:22.692
Speaker 3: Um, but I want, I want
it Minecraft themed, uh, the source.
00:38:22.692 --> 00:38:25.902
I told it use chapter
nine, solving equations.
00:38:25.902 --> 00:38:31.362
That's what we're gonna be using, uh,
style use active voice only because ai,
00:38:31.512 --> 00:38:39.162
all ai, but especially um, uh, text models
have a tendency to write in passive voice.
00:38:39.792 --> 00:38:42.102
And passive voice is the enemy of clarity.
00:38:42.102 --> 00:38:42.522
It is.
00:38:42.672 --> 00:38:45.012
Um, it is also, by the way,
one of the things you can do to
00:38:45.012 --> 00:38:47.232
completely hose any AI detector.
00:38:47.562 --> 00:38:48.972
Um, but.
00:38:49.992 --> 00:38:53.982
You know, all the educational materials,
active voice only, and then the audience
00:38:54.012 --> 00:38:57.852
just telling it, Hey, this is for sixth
grade students, so consider, you know,
00:38:57.852 --> 00:39:01.362
what level of readability is appropriate
for sixth grade, and use verbatims
00:39:01.362 --> 00:39:02.772
from the textbook as much as possible.
00:39:02.772 --> 00:39:05.172
It's common core aligned
to sixth grade readability.
00:39:05.802 --> 00:39:08.472
So that's what I, that
was the prompt that I use.
00:39:08.562 --> 00:39:13.422
And then when I use that in this tool,
I literally just copy and paste it in
00:39:13.722 --> 00:39:20.112
and it generates the, the particular
assets for our uh oh value's.
00:39:20.112 --> 00:39:21.162
Asking what's passive voice?
00:39:21.162 --> 00:39:25.902
Passive voice is the dishes were washed.
00:39:26.892 --> 00:39:27.162
Yeah.
00:39:27.162 --> 00:39:27.877
And the question is.
00:39:28.812 --> 00:39:29.742
But by who?
00:39:29.832 --> 00:39:29.922
Right?
00:39:30.762 --> 00:39:31.122
Right.
00:39:31.722 --> 00:39:31.932
Yeah.
00:39:31.962 --> 00:39:34.512
Whereas if you say, I wash the
dishes, that's active voice.
00:39:34.602 --> 00:39:35.892
Speaker: That's my high school.
00:39:35.892 --> 00:39:37.272
My high school husband English teacher.
00:39:38.172 --> 00:39:38.592
Speaker 5: Yes.
00:39:38.652 --> 00:39:39.102
Yes,
00:39:39.762 --> 00:39:40.152
Speaker 3: exactly.
00:39:40.662 --> 00:39:45.972
The, as a sidebar, the reason why AI
uses so much passive voice is because
00:39:45.972 --> 00:39:50.772
business uses passive voice a lot
as a way to dodge accountability.
00:39:51.102 --> 00:39:53.772
If you could say, the website
traffic was down this month.
00:39:54.132 --> 00:39:54.732
Yeah.
00:39:54.912 --> 00:39:59.742
Instead of saying, oh, we screwed up
and, and website traffic was down.
00:40:00.132 --> 00:40:05.202
Um, in general, we try
to avoid passive voice.
00:40:06.282 --> 00:40:12.702
Um, for educators who are working
in, um, in, in multilingual districts
00:40:12.852 --> 00:40:15.462
notebook, LM supports 82 languages.
00:40:16.257 --> 00:40:19.677
So you could, if you have students
who are speak, for example, speak
00:40:19.677 --> 00:40:24.867
Haitian Creole, you can generate any
of these assets in that language.
00:40:24.927 --> 00:40:27.207
Um, so let's, let me queue up one here.
00:40:27.207 --> 00:40:31.227
Let's do an infographic and I'm
gonna add to my prompt, um, I'm
00:40:31.227 --> 00:40:32.757
gonna, let's switch this tab.
00:40:33.057 --> 00:40:36.297
I'm gonna, let's, I'm just gonna
add a little li limiter here.
00:40:36.627 --> 00:40:37.557
Uh, language
00:40:42.567 --> 00:40:50.847
all, all output must be
in Haitian Creole only.
00:40:51.897 --> 00:40:52.887
And I'm gonna copy that in.
00:40:52.887 --> 00:40:58.317
I'm going to go back to my notebook
and I'm going to choose Haitian
00:40:58.317 --> 00:41:02.007
Creole as the language, but I've
also put it in the prompt as well.
00:41:02.757 --> 00:41:07.887
Um, we're gonna do chapter nine,
and this time for a diagram.
00:41:07.887 --> 00:41:13.162
Let's go with, let's go
with anime as their style.
00:41:14.922 --> 00:41:18.282
Now this will probably, the
infographics themselves take probably
00:41:18.282 --> 00:41:19.482
three to five minutes to gener.
00:41:19.572 --> 00:41:23.532
The videos can take up to 45 minutes
because they have to use, um,
00:41:23.562 --> 00:41:25.992
Gemini's, uh, video generation service.
00:41:26.352 --> 00:41:31.452
And even on the paid version, you
are limited to, I believe, five
00:41:31.452 --> 00:41:35.142
videos a day because of just how
computationally intensive these are.
00:41:35.772 --> 00:41:41.262
Um, let's look at, oh,
we just did infographic.
00:41:41.322 --> 00:41:46.302
Um, you can, for example, in
the audio overview, same thing.
00:41:46.302 --> 00:41:48.402
You can specify the different languages.
00:41:48.582 --> 00:41:53.202
So I did a version of this, uh, when
I was, uh, speaking at a financial aid
00:41:53.202 --> 00:41:55.662
conference that took the Pell Grant.
00:41:56.187 --> 00:42:00.207
Uh, documentation from the US
government, which is already obtuse.
00:42:00.597 --> 00:42:05.217
Um, and I said, build an explainer
for a Haitian Creole speaker
00:42:05.577 --> 00:42:07.287
about how the Pell Grant works.
00:42:07.317 --> 00:42:09.747
And it did a phenomenal
job of translating it.
00:42:09.807 --> 00:42:12.717
It, and then we obviously, uh,
when I did the, a presentation
00:42:12.717 --> 00:42:15.087
at the conference, they had folks
there who were native speakers.
00:42:15.087 --> 00:42:16.797
They're like, yeah, I understand it.
00:42:16.797 --> 00:42:18.627
It's a little formal,
it's a little stilted.
00:42:18.627 --> 00:42:20.397
It's not, you know, perfectly natural.
00:42:20.397 --> 00:42:20.577
But
00:42:20.577 --> 00:42:22.797
Speaker: it's, that's a
great example of using, yes.
00:42:22.797 --> 00:42:23.427
That's fantastic.
00:42:23.427 --> 00:42:24.717
Speaker 2: That's such a great idea.
00:42:25.617 --> 00:42:25.917
Speaker 3: Mm-hmm.
00:42:27.327 --> 00:42:30.567
And anything that the, the tools don't
support themselves, you could just
00:42:30.567 --> 00:42:34.827
prompt, uh, in general, and here you
could say, uh, something along the
00:42:34.827 --> 00:42:39.087
lines of, you know, create a lesson
plan specifically about chapter nine.
00:42:39.327 --> 00:42:46.087
Uh, so let's say, uh, I
need to create, I need to.
00:42:47.607 --> 00:42:54.027
For chapter nine, for a 45 minute class
for my sixth graders on solving equations.
00:42:54.237 --> 00:42:59.787
Give me a minute by minute outline
in markdown format of what I
00:42:59.787 --> 00:43:03.657
should teach for teaching chapter
nine for a 45 minute class.
00:43:05.397 --> 00:43:12.327
And I'm gonna put in from my other,
from the, my prompt, I'm gonna pro
00:43:12.507 --> 00:43:14.277
gonna paste in those same things, right?
00:43:14.282 --> 00:43:18.027
The, the style, et cetera,
um, and so on and so forth.
00:43:18.057 --> 00:43:24.027
And it will do in the chat, it will
just pull out and create basic text.
00:43:24.687 --> 00:43:31.317
Um, also if you, the, the system
itself, if I go into the settings
00:43:31.317 --> 00:43:37.107
here, uh, the output language, you can
also change, um, the interface itself.
00:43:37.107 --> 00:43:41.037
So if, if English is not your
first language, uh, you can change
00:43:41.037 --> 00:43:43.437
the interface to be, uh, to make
it whatever you want it to be.
00:43:44.127 --> 00:43:45.867
Uh, it looks like our infographic.
00:43:46.182 --> 00:43:50.892
Is complete in Haitian
Creole and here we have it.
00:43:50.892 --> 00:43:55.182
I don't speak Haitian Creole, so
I'm unable to validate its output,
00:43:55.182 --> 00:44:01.032
but it did a, it did a, a very nice
anime style Minecraft infographic.
00:44:02.442 --> 00:44:02.952
Speaker: Very cool.
00:44:02.952 --> 00:44:07.602
We do have a French teacher in the
chat room who said, uh, you know,
00:44:07.602 --> 00:44:10.962
any other world teachers here wonder
how to use it in a French class?
00:44:12.162 --> 00:44:13.872
Speaker 3: Well, let's
change the language.
00:44:14.232 --> 00:44:19.212
Um, let, uh, let's do, uh, do
we want to do European French
00:44:19.212 --> 00:44:21.042
or, uh, Canadian French?
00:44:26.442 --> 00:44:26.892
Speaker: European
00:44:26.897 --> 00:44:28.932
Speaker 3: French Do con Yeah,
we'll do continental French.
00:44:29.202 --> 00:44:29.502
Alright.
00:44:29.922 --> 00:44:31.662
Uh, so let's go into notebook.
00:44:31.692 --> 00:44:35.562
Lm go into our infographic again.
00:44:36.882 --> 00:44:40.752
Uh, this time we will choose, uh, f.
00:44:42.627 --> 00:44:45.717
We will put in this and
we will do a sketchbook.
00:44:45.717 --> 00:44:47.727
Actually, let's do the
Kauai style just for fun.
00:44:48.507 --> 00:44:50.937
Um, and let's make it square.
00:44:51.537 --> 00:44:57.717
Uh, because again, uh, if you are
a, a, a media literate, uh, teacher
00:44:57.717 --> 00:45:00.777
that shares stuff on like Instagram
and things, hey, square format.
00:45:00.777 --> 00:45:03.417
Now you can, uh, post stuff
on, on Instagram there.
00:45:04.107 --> 00:45:04.467
Alright?
00:45:05.367 --> 00:45:10.107
While it's doing that, our 45 minute
lesson plan, minute by minute from the
00:45:10.107 --> 00:45:15.687
chapter, uh, has been generated and we
have the, the timings and then it tells
00:45:15.687 --> 00:45:17.787
you where, what in the textbook to use.
00:45:18.717 --> 00:45:19.077
Speaker 2: Wow.
00:45:25.737 --> 00:45:25.947
Speaker: All right.
00:45:25.947 --> 00:45:26.302
What do you guys think?
00:45:28.542 --> 00:45:29.442
Drop it in that chat.
00:45:30.012 --> 00:45:31.212
Give us a, give us a sense.
00:45:31.212 --> 00:45:33.162
Let us, give us, let us,
yeah, give us a sense.
00:45:33.167 --> 00:45:35.862
Um, let us know that you're still here
and haven't walked completely away.
00:45:36.312 --> 00:45:38.322
I know you haven't because we're so fun.
00:45:40.062 --> 00:45:40.872
Um, yeah.
00:45:40.872 --> 00:45:41.652
This is great.
00:45:42.522 --> 00:45:43.542
And so, okay.
00:45:43.722 --> 00:45:43.932
Speaker 2: Thanks.
00:45:43.932 --> 00:45:44.502
Some ideas.
00:45:44.502 --> 00:45:44.682
Yeah.
00:45:47.022 --> 00:45:47.172
Speaker: Yeah.
00:45:47.232 --> 00:45:47.442
Okay.
00:45:47.442 --> 00:45:50.382
So let's let, okay, so let's, um,
sorry, Chris, you may, maybe you keep
00:45:50.382 --> 00:45:53.862
going on this, but I'm, I would love
to like, approach this from, you know,
00:45:53.862 --> 00:46:01.572
I'm a fourth grade teacher and I need
to, um, I'm teaching about like, uh,
00:46:02.412 --> 00:46:05.022
you know, not revolutionary war time.
00:46:05.027 --> 00:46:05.097
No.
00:46:05.172 --> 00:46:10.437
But like a more like, um, set the
settler, sorry, the, I'm like,
00:46:10.482 --> 00:46:11.562
I'm having a total brain fart.
00:46:11.562 --> 00:46:12.312
It's Tuesday, I guess.
00:46:12.342 --> 00:46:15.852
Um, but, you know, the, like
Jamestown and Yorktown and stuff
00:46:15.852 --> 00:46:18.132
like that, or maybe Jamestown.
00:46:18.132 --> 00:46:18.222
Right.
00:46:19.062 --> 00:46:19.392
Speaker 3: Okay.
00:46:19.842 --> 00:46:21.522
So I'll give you an example then.
00:46:21.522 --> 00:46:24.432
Let's, let's, uh, while we're,
while it's thinking away.
00:46:25.392 --> 00:46:29.082
I don't know much about that, uh,
from a fourth grade perspective,
00:46:29.082 --> 00:46:33.012
but what I could do is pull in some
sources to, you know, I'll use the
00:46:33.012 --> 00:46:34.602
fast research field in general.
00:46:34.602 --> 00:46:36.612
They use deep research over
fast research because it'll,
00:46:36.732 --> 00:46:37.872
it'll get somewhat better stuff.
00:46:37.962 --> 00:46:44.742
We can say something along the lines
of find first person accounts of the
00:46:44.772 --> 00:46:52.032
early settlers in Jamestown, in the USA
first person accounts and historical
00:46:52.032 --> 00:46:56.562
narratives, particularly those of
indigenous peoples are preferred.
00:46:58.212 --> 00:47:00.132
And we'll set off, uh, fast research.
00:47:00.132 --> 00:47:03.492
What fast research does is it goes
out and starts to search the web.
00:47:03.882 --> 00:47:06.882
You can give it, and you
should give it a lot of detail.
00:47:06.882 --> 00:47:09.522
You should specify, here's the
kinds of things that you want.
00:47:09.612 --> 00:47:13.512
Uh, what are you going to use it for
downstream that helps it to tune.
00:47:13.782 --> 00:47:18.222
So it did fast research, and what it
does is it comes up with a list of
00:47:18.222 --> 00:47:20.232
sources and then you say, you know what?
00:47:20.232 --> 00:47:22.542
I want to import those sources.
00:47:22.842 --> 00:47:25.482
And we can see here it's
got, uh, some encyclopedias.
00:47:25.482 --> 00:47:30.882
It's got, uh, core knowledge, it's got
some Canadian resources as well, uh, which
00:47:30.882 --> 00:47:33.042
is, is super interesting and helpful.
00:47:33.342 --> 00:47:39.312
And then from there, um, we can say like,
let's create a, let's create a debate,
00:47:39.372 --> 00:47:41.472
a thoughtful debate between two hosts.
00:47:42.792 --> 00:47:48.702
Um, and for this, we'll say,
create a host appropriate for
00:47:48.702 --> 00:47:50.382
a fourth grade English class.
00:47:50.727 --> 00:47:55.437
Or students who are between the
ages of 10 and 11 years old, that
00:47:55.437 --> 00:48:02.667
looks at the historical narrative
of Jamestown and also the indigenous
00:48:02.667 --> 00:48:07.137
perspective to see colonialism
from two different perspectives.
00:48:07.137 --> 00:48:11.007
One host should take the perspective of
the colonists, and one host should take
00:48:11.007 --> 00:48:13.077
the perspective of the indigenous peoples.
00:48:13.977 --> 00:48:19.887
So that will generate a, an audio
podcast that you could then, and
00:48:19.947 --> 00:48:24.537
this is where it, you start to get
into, um, multi-format learning.
00:48:24.987 --> 00:48:28.497
If you know that you have students
who listen better than they watch,
00:48:28.497 --> 00:48:32.397
or less, better than they read, um,
you can generate content for them,
00:48:32.487 --> 00:48:36.237
you know, perhaps in their target
language that will resonate with them.
00:48:36.327 --> 00:48:40.077
Obviously, you still want to check to make
sure that it's pulling, uh, information
00:48:40.077 --> 00:48:42.717
appropriately, but it can do that.
00:48:42.717 --> 00:48:46.047
So while it's churning away over
there, let's switch back to this tab.
00:48:46.047 --> 00:48:48.507
See how our French infographic.
00:48:49.077 --> 00:48:50.367
Uh, turned out.
00:48:50.397 --> 00:48:52.947
And so let's make this, there we go.
00:48:55.287 --> 00:48:56.937
And make it a little bit bigger
00:48:59.607 --> 00:49:01.077
now for, uh, Valerie.
00:49:01.437 --> 00:49:04.942
Um, how did it do it?
00:49:14.247 --> 00:49:18.207
I can see at least conceptually
the concepts are all the same.
00:49:18.207 --> 00:49:19.977
It's drawing from the same
chapter in the textbook.
00:49:20.247 --> 00:49:24.207
Uh, and so it has the Minecraft theme,
although I, I appreciate that The
00:49:24.207 --> 00:49:29.697
Minecraft theme is now, this, this
Kauai, uh, Japanese, uh, release
00:49:29.697 --> 00:49:31.527
says it was, it did pretty good.
00:49:31.647 --> 00:49:32.637
Uh, all things considered.
00:49:32.667 --> 00:49:34.827
So this is now in a language that.
00:49:35.412 --> 00:49:37.332
Uh, I am very poor at,
00:49:38.982 --> 00:49:39.342
Speaker: this is great.
00:49:39.342 --> 00:49:42.582
My, my, my daughter is in her second year
of French class, so maybe I'll have to
00:49:42.582 --> 00:49:44.352
get this image and get her, get her take.
00:49:46.362 --> 00:49:47.022
Speaker 3: Exactly.
00:49:47.592 --> 00:49:53.502
And so, um, you can, uh, you can literally
ask these tool, this tool, anything
00:49:53.532 --> 00:49:59.022
of the data that you've provided, or
go get additional data, um, and, and
00:49:59.112 --> 00:50:05.802
generate, um, summaries and literally
anything from the data you've provided.
00:50:06.072 --> 00:50:08.682
That's what makes it such a
valuable educational tool, because
00:50:08.922 --> 00:50:13.422
you control the sources, you
decide what goes in the system.
00:50:13.842 --> 00:50:17.712
Um, so if there are approved sources
that your, your district has, if
00:50:17.712 --> 00:50:21.882
there's textbooks that your district
provides in electronic format, uh,
00:50:21.882 --> 00:50:24.672
as long as they're not, you know,
password protected and encrypted,
00:50:24.672 --> 00:50:25.932
you can put them into this tool.
00:50:26.352 --> 00:50:30.552
Um, you can put your own lesson plans
and notes because even if you, even
00:50:30.552 --> 00:50:34.152
if you don't have the raw textbook,
if you have the lesson plans, it
00:50:34.152 --> 00:50:38.682
can derive information from that
and turn it into, into other things.
00:50:43.482 --> 00:50:45.342
Speaker: That is so helpful.
00:50:45.792 --> 00:50:47.022
I'm just, tool is so fun.
00:50:47.022 --> 00:50:50.892
I've used it in like such a variety
of different ways to like, um, you
00:50:50.892 --> 00:50:54.642
know, I think I've shared that I'm
on a, I'm on our local school board
00:50:55.092 --> 00:50:58.482
and you know, we've had so much
documented, so many meetings, so many
00:50:58.482 --> 00:50:59.472
things that we have to pull together.
00:50:59.472 --> 00:51:02.592
And being able to like, pull it
into one notebook, um, and then
00:51:02.592 --> 00:51:03.972
kind of distill that information.
00:51:03.972 --> 00:51:07.872
Now again, this is not necessarily the
example that you're using for working
00:51:07.872 --> 00:51:12.012
with, with students, but at least you
know, my kind of professional life.
00:51:12.012 --> 00:51:16.902
It has helped me dig through,
you know, tons of transcripts and
00:51:16.902 --> 00:51:21.402
information that I need to help me
make a better informed decision.
00:51:23.142 --> 00:51:27.042
Speaker 3: Yeah, there's, there's
so many things that it is capable of
00:51:27.522 --> 00:51:32.682
that, um, in fact, lemme just stop
sharing and reshare my screen as the
00:51:32.682 --> 00:51:35.682
entire screen, just so, because this
is in a different notebook here.
00:51:36.342 --> 00:51:43.092
This is the example of, uh, taking
financial aid stuff, which is, as you
00:51:43.092 --> 00:51:48.732
know, incredibly u uh, obtuse, uh, for
students who are true or wanna learn
00:51:48.762 --> 00:51:50.562
how to, you know, pay for college.
00:51:51.162 --> 00:51:55.032
Um, and it goes through and
it explains what is the Pell
00:51:55.032 --> 00:51:56.862
Grant, how do you apply for it?
00:51:57.042 --> 00:52:01.782
And we did that in, uh, three different
languages as a demo to be able to
00:52:01.782 --> 00:52:05.142
say, like, for, for the Pell Grant,
how do you apply for the Pell Grant?
00:52:06.372 --> 00:52:12.162
And this, again, where the audience
was like, okay, that is exactly, you
00:52:12.162 --> 00:52:13.992
know, uh, what it says correctly.
00:52:13.992 --> 00:52:15.582
Speaker: Just even like had it,
yeah, I mean, the Pell Grant and
00:52:15.582 --> 00:52:16.842
just think those FAFSA forms.
00:52:16.842 --> 00:52:20.892
I mean, I, you have that in here, you
know, but those F forms are just so.
00:52:21.837 --> 00:52:22.467
Confusing.
00:52:22.977 --> 00:52:23.247
Speaker 3: Yep.
00:52:23.727 --> 00:52:28.077
And the source in this particular one,
this source is the Federal Student
00:52:28.077 --> 00:52:32.937
Aid Handbook, which is a 900 page
government document that nobody enjoys.
00:52:33.297 --> 00:52:38.547
Um, and being able to turn it
into digestible pieces to help
00:52:38.547 --> 00:52:40.017
somebody get through that.
00:52:40.022 --> 00:52:43.947
Um, and, and for financial aid
administrators, what they love about
00:52:43.947 --> 00:52:47.577
this specifically is they could say,
mm-hmm I need to look up a particular
00:52:47.577 --> 00:52:51.267
regulatory thing in a 900 page handbook.
00:52:51.327 --> 00:52:52.467
Now I don't have to do that.
00:52:52.467 --> 00:52:55.677
Now I can ask this and just
show me the citation of where
00:52:55.677 --> 00:52:57.447
in the handbook I need to look.
00:52:59.037 --> 00:53:01.557
Speaker: And is that something that you've
created that you're now sharing with them?
00:53:01.557 --> 00:53:03.597
Or, or are they creating
their own notebook?
00:53:03.962 --> 00:53:06.747
I know that we had, I know we had
conversations in the past about like
00:53:07.227 --> 00:53:10.797
how to, you know, how to create it
and like what, how those notebooks are
00:53:10.797 --> 00:53:12.807
shareable, shareable, or not shareable.
00:53:13.827 --> 00:53:14.217
Speaker 3: Uh, yeah.
00:53:14.217 --> 00:53:15.147
So in.
00:53:16.422 --> 00:53:17.742
Notebooks are shareable.
00:53:18.012 --> 00:53:21.132
Uh, they are share, and you can
share them in one of two ways.
00:53:21.282 --> 00:53:24.732
If you're in a Google workspace,
you can only share it with
00:53:24.792 --> 00:53:26.112
other people in that workspace.
00:53:26.112 --> 00:53:30.042
So like, if you have an email, if you have
a district domain, it can only be shared
00:53:30.042 --> 00:53:31.782
with other email addresses in that domain.
00:53:32.082 --> 00:53:36.312
If you are on a, if you are using on
a personal Google account, a Gmail
00:53:36.312 --> 00:53:38.082
account, you can share it with anybody.
00:53:38.262 --> 00:53:42.342
So, for example, the FSA handbook
here, I can share this with people,
00:53:42.402 --> 00:53:47.022
anyone who has the link or, or put it
out in public, Google does this, um,
00:53:47.292 --> 00:53:51.042
this weird distinction because, uh,
they don't want people accidentally
00:53:51.042 --> 00:53:54.917
sharing proprietary information
like far outside their district.
00:53:54.917 --> 00:53:55.157
Okay.
00:53:55.377 --> 00:53:57.762
Speaker: Oh, that's helpful to know.
00:53:58.812 --> 00:54:01.512
Um, yeah, I think that this is,
I mean, I'm just thinking about,
00:54:01.512 --> 00:54:04.182
so like, I just wanna share this
example with so many people.
00:54:04.692 --> 00:54:07.637
Um, I mean, I know, you know, FAFSA
and stuff, those forms are kind of.
00:54:08.487 --> 00:54:09.507
We we're moving on.
00:54:09.597 --> 00:54:11.847
Um, tax taxes are due tomorrow, everybody.
00:54:11.847 --> 00:54:12.852
Uh mm-hmm.
00:54:13.527 --> 00:54:17.852
But no, this is, this is super helpful
that I think this be a really big one
00:54:17.882 --> 00:54:20.367
Speaker 3: next for actually taxes
with the assistance of AI this year.
00:54:21.117 --> 00:54:21.837
Speaker 2: You did?
00:54:22.137 --> 00:54:22.557
Speaker 3: Yes.
00:54:22.617 --> 00:54:22.947
Speaker: What?
00:54:23.487 --> 00:54:23.697
Okay.
00:54:23.697 --> 00:54:25.677
You gotta share this 'cause I'm
gonna, I'm gonna admit this to
00:54:25.677 --> 00:54:27.477
everybody and I'm sad to admit this.
00:54:27.747 --> 00:54:29.217
I have not submitted my taxes yet.
00:54:29.247 --> 00:54:32.757
They're all uploaded, but I just need
to hit the submit button, which is like,
00:54:32.757 --> 00:54:35.937
this is Sarah Beth knows that I kind of
procrastinated until the last second.
00:54:35.937 --> 00:54:38.037
Like, everything always
works out fine in the end.
00:54:38.697 --> 00:54:41.367
And this year I was like, I
actually started in January.
00:54:41.367 --> 00:54:42.957
I had it and then I've just sat on it.
00:54:42.957 --> 00:54:44.757
So I need to get it done between now and
00:54:44.757 --> 00:54:45.057
Speaker 2: tomorrow.
00:54:45.057 --> 00:54:48.897
I only got mine in and did everything
because I have to use an accountant.
00:54:48.897 --> 00:54:54.597
So they had a deadline a month ago, so
I've already paid my taxes and her, but
00:54:56.247 --> 00:54:58.947
Speaker: I thought they were supposed
to be on the tax, tax rebates and stuff.
00:54:58.947 --> 00:54:59.337
This year.
00:55:00.447 --> 00:55:04.887
Speaker 3: As a business owner, our taxes
are hundreds of pages long because we
00:55:04.887 --> 00:55:06.657
have Schedule K ones and all this stuff.
00:55:06.972 --> 00:55:07.332
Right?
00:55:07.332 --> 00:55:07.342
Yes.
00:55:07.342 --> 00:55:08.007
Yes, yes, yes.
00:55:08.007 --> 00:55:12.222
And with the new budget bill from last
year, I had to take all 900 pages of the
00:55:12.222 --> 00:55:16.032
budget bill, put it in a notebook, lm, and
say, okay, which parts affect my business?
00:55:17.472 --> 00:55:17.592
Speaker 2: Whoa.
00:55:19.992 --> 00:55:20.712
Speaker: That's crazy.
00:55:21.477 --> 00:55:24.132
Speaker 2: I'm, I'm, I'm one
of those people who I'm single,
00:55:24.132 --> 00:55:26.322
so we don't get tax breaks
00:55:28.122 --> 00:55:28.512
Speaker 3: start
00:55:28.512 --> 00:55:29.442
Speaker 2: a business
so people matter too.
00:55:30.042 --> 00:55:31.242
Yeah, exactly.
00:55:31.812 --> 00:55:34.902
It's the only way to have, right, in
this country, in this capitalist country.
00:55:36.192 --> 00:55:38.592
Speaker 3: So in terms of
that, so that's Notebook lm.
00:55:38.712 --> 00:55:42.822
Um, it is one of the most powerful,
compelling tools for educators.
00:55:42.822 --> 00:55:45.642
It is freely available with limited,
you know, with, with, uh, some
00:55:45.642 --> 00:55:46.962
restrictions on, on the features.
00:55:46.962 --> 00:55:49.572
It can generate, uh, the
paid versions, $20 a month.
00:55:49.572 --> 00:55:53.112
It's part of the Google One subscription
personally, uh, which by the way,
00:55:53.112 --> 00:55:56.262
gets you access to a whole bunch of
other things in the system as well.
00:55:56.652 --> 00:56:00.492
Um, so it is, uh, it is a fantastic tool.
00:56:00.732 --> 00:56:05.592
Uh, remember that it will, it is as
good as the information you put in it.
00:56:05.892 --> 00:56:08.412
So make sure that you put in
good information to, to get
00:56:08.412 --> 00:56:09.312
good information out of it.
00:56:09.642 --> 00:56:14.592
Um, and it is, uh, I would say it's
something that every educator should have,
00:56:14.652 --> 00:56:16.272
uh, as part of the, their AI toolkit.
00:56:18.492 --> 00:56:19.182
Speaker: A hundred percent agree.
00:56:19.182 --> 00:56:19.662
It's amazing.
00:56:19.662 --> 00:56:22.422
And yeah, and you can use it
for all these other things.
00:56:22.422 --> 00:56:25.902
And now I'm gonna have to ask you how
you used, um, AI for your taxes, but, um,
00:56:26.622 --> 00:56:27.337
Speaker 2: yeah, seriously
00:56:27.917 --> 00:56:31.452
Speaker: say that, although mine is
not nearly as complicated as as yours.
00:56:32.052 --> 00:56:32.832
Um, for sure.
00:56:32.832 --> 00:56:32.952
Oh, wait,
00:56:32.952 --> 00:56:34.182
Speaker 2: David Scott, wait.
00:56:34.182 --> 00:56:34.752
You're not alone.
00:56:34.752 --> 00:56:35.442
David Scott.
00:56:35.442 --> 00:56:39.402
My personal Gemini AI chat
chatted me to get my taxes paid.
00:56:39.402 --> 00:56:40.962
I was really concerned
about me getting my refund.
00:56:40.962 --> 00:56:41.262
Tried to
00:56:41.262 --> 00:56:41.412
Speaker: you
00:56:42.252 --> 00:56:44.652
Speaker 2: some friend
and state took nine days.
00:56:45.102 --> 00:56:46.032
Is that good or bad?
00:56:46.572 --> 00:56:47.922
Because I did not get a refund.
00:56:49.332 --> 00:56:49.962
Is that good?
00:56:50.082 --> 00:56:50.892
Does it usually take longer
00:56:51.342 --> 00:56:51.747
Speaker: for, I mean,
you got refund I think.
00:56:52.002 --> 00:56:54.192
I think refund is great, but
nine days isn't too long.
00:56:54.402 --> 00:56:56.472
But David, I'm, I'm
wondering how it chatted you.
00:56:58.047 --> 00:56:58.257
Because
00:56:58.257 --> 00:56:58.467
Speaker 2: my, so why
00:56:58.467 --> 00:57:01.197
Speaker: didn't you yell
you My, my, my, my age.
00:57:01.257 --> 00:57:01.677
My age.
00:57:01.677 --> 00:57:02.157
Chat box.
00:57:02.157 --> 00:57:02.607
Tell me that.
00:57:02.607 --> 00:57:03.927
I'm great all the time.
00:57:04.437 --> 00:57:06.147
Speaker 2: Yeah, mine's very nice to me.
00:57:10.287 --> 00:57:10.797
Very good.
00:57:10.797 --> 00:57:10.977
Yeah.
00:57:10.977 --> 00:57:12.027
Nine days is great.
00:57:12.357 --> 00:57:13.227
I wanna refund.
00:57:13.677 --> 00:57:15.477
Um, wow.
00:57:15.477 --> 00:57:21.687
This is, I, so I was using notebook,
lm I thought in a cool way, but now
00:57:21.687 --> 00:57:25.557
I'm really, because I was doing it
in a rudimentary way, and now I feel
00:57:25.557 --> 00:57:27.327
challenged to take it to the next level.
00:57:27.327 --> 00:57:28.407
So thank you, Chris.
00:57:29.097 --> 00:57:29.757
Speaker 3: You're welcome.
00:57:31.017 --> 00:57:32.997
Speaker: So before we close out,
Chris, like, what are, you know,
00:57:32.997 --> 00:57:34.467
what's, what's moving and shaken?
00:57:34.467 --> 00:57:38.067
I know Chris, you've got, um, I, I
listen to Chris's podcast a lot of
00:57:38.067 --> 00:57:42.327
times, uh, on longer drives and kind
of get up to speed and all this stuff.
00:57:42.327 --> 00:57:44.817
But like, you're, you're the one
who's really got the pulse of what's,
00:57:44.847 --> 00:57:46.047
what's happening, what's moving?
00:57:46.047 --> 00:57:47.692
Like, what has you excited,
what has you scared.
00:57:48.957 --> 00:57:51.687
Speaker 3: Uh, what has to
be excited is agentic ai.
00:57:51.687 --> 00:57:56.607
So these are tools like Claude Cowork
and open work, et cetera, where they
00:57:56.607 --> 00:58:00.087
can do things like, uh, with your
permission, uh, take control of your
00:58:00.087 --> 00:58:02.787
browser and just start doing tasks.
00:58:02.787 --> 00:58:06.087
I did a, I know I can share
a, uh, a, a demo of it.
00:58:06.417 --> 00:58:07.587
I had it.
00:58:07.767 --> 00:58:14.277
Take control of a CAD system and
have it do an architectural building
00:58:14.277 --> 00:58:19.737
code compliance review to say,
okay, how compliant is this building
00:58:19.947 --> 00:58:22.077
with, uh, with structural codes?
00:58:22.107 --> 00:58:23.697
And I'll put the link in the chat.
00:58:23.697 --> 00:58:24.777
It's a YouTube video you can watch.
00:58:24.777 --> 00:58:25.677
It's about nine minutes long.
00:58:25.677 --> 00:58:25.707
Okay?
00:58:26.127 --> 00:58:31.557
Um, you can watch it step through the 3D
building and evaluate and say, and then
00:58:31.557 --> 00:58:35.517
produce an audit report saying This is
where this building is not compliant with
00:58:35.517 --> 00:58:37.107
your building codes that you provided me.
00:58:37.377 --> 00:58:38.427
Uh, you need to fix it.
00:58:38.427 --> 00:58:38.487
Wow.
00:58:39.237 --> 00:58:43.557
These agents can, yeah, these agents
can now take on long running tasks.
00:58:43.557 --> 00:58:47.787
So my CEO, Katie, Robert, uh, who's
also my co-founder of the company,
00:58:48.237 --> 00:58:52.917
has literally 100 Xed her output
in terms of the work that she does.
00:58:52.917 --> 00:58:56.007
She's revamped the entire website
and she does it with Claude
00:58:56.007 --> 00:58:58.467
Cowork, a non-technical tool.
00:58:58.707 --> 00:59:02.817
She gives it a task and says, here's
the task, here's your project plan.
00:59:03.087 --> 00:59:04.977
Go do it and tell me when you're done.
00:59:05.187 --> 00:59:06.537
And it goes off, it does it.
00:59:06.537 --> 00:59:10.077
And you know, 30, 45 minutes later
it comes back and says, here's
00:59:10.077 --> 00:59:13.197
your new sales kit, here's your
enablement kit, here's your, uh,
00:59:13.317 --> 00:59:15.027
new website, and so on and so forth.
00:59:15.027 --> 00:59:16.557
And it's pretty phenomenal.
00:59:17.757 --> 00:59:18.327
Speaker: That's crazy.
00:59:18.327 --> 00:59:19.647
And like, you know, the other question.
00:59:19.647 --> 00:59:22.917
So we, you know, we, we say this with the
guardrails and education all the time,
00:59:22.917 --> 00:59:26.157
and you know, obviously we wanna continue
to teach critical thinking skills.
00:59:26.547 --> 00:59:28.647
Um, and you always have to check
the work and make sure that
00:59:28.647 --> 00:59:30.057
there wasn't hallucination like.
00:59:30.282 --> 00:59:30.372
Right.
00:59:31.122 --> 00:59:34.752
The hallucinations, they're, they're still
happening, but they're, they're happening.
00:59:34.752 --> 00:59:36.162
I feel like they're harder to find.
00:59:36.312 --> 00:59:38.952
And so, like, what is your
recommendation for folks?
00:59:39.612 --> 00:59:43.272
Speaker 3: Um, so, uh, Ethan Molik said
this a few years ago, and I agree with it.
00:59:43.542 --> 00:59:46.992
Um, as AI gets smarter,
it makes smarter mistakes.
00:59:46.992 --> 00:59:49.872
So you have to be a subject
matter expert in what you are
00:59:49.872 --> 00:59:52.027
using it for, to know mm-hmm.
00:59:52.337 --> 00:59:54.462
When it is making, uh, mistakes.
00:59:54.462 --> 00:59:58.902
And that's something that, that you have
to, you think about the golden, the rule
00:59:58.902 --> 01:00:04.782
of thumb is the more data you provide,
the less hallucination it's going to have.
01:00:04.782 --> 01:00:08.772
So you, it, it, it can hallucinate,
you know, things like Common Core,
01:00:08.772 --> 01:00:11.922
because Common Core has been through,
you know, years and user revisions.
01:00:12.252 --> 01:00:16.122
If on the other hand you provide all
the current common core materials,
01:00:16.122 --> 01:00:20.112
like I did when I had generate a
math textbook, it did it correctly.
01:00:20.142 --> 01:00:21.222
'cause it said, I'm using.
01:00:21.657 --> 01:00:24.117
The Massachusetts state,
uh, education requirements.
01:00:24.117 --> 01:00:27.507
I'm using your city's requirements, and
I'm using the Common Core framework,
01:00:27.717 --> 01:00:30.117
and I provided all the PDFs for it.
01:00:30.387 --> 01:00:34.887
So when it generated the math textbook
on its own, it knew exactly what it was
01:00:34.887 --> 01:00:36.657
drawing from and what it had to comply.
01:00:36.657 --> 01:00:37.137
Speaker: Wow.
01:00:37.677 --> 01:00:40.227
Speaker 3: So think of it
like project management.
01:00:40.257 --> 01:00:47.337
What would you tell, uh, an agency
or a contractor or uh, a, a ta here,
01:00:47.547 --> 01:00:50.427
how would you delegate that task
if you knew that you couldn't talk
01:00:50.427 --> 01:00:51.957
to them again until it was done?
01:00:52.227 --> 01:00:53.427
You think it through?
01:00:53.757 --> 01:00:55.977
You give the tools that, and
then it goes off and does it.
01:00:56.307 --> 01:01:01.617
That sixth grade math textbook that
it wrote Soup to Nuts took 92 minutes.
01:01:01.707 --> 01:01:05.157
That's it, to generate a completely
new textbook that has never
01:01:05.157 --> 01:01:07.137
existed before in Minecraft.
01:01:07.137 --> 01:01:12.657
Language to be accessible to students,
common core, compliant, and also free,
01:01:12.657 --> 01:01:18.057
which means that a school district that's
like, Hey, we can't afford new textbooks.
01:01:18.057 --> 01:01:19.047
Well, guess what?
01:01:20.157 --> 01:01:24.027
With, with a a, someone who's got
bills and access to one of these
01:01:24.027 --> 01:01:28.437
subscriptions, it can generate a book
that you would then submit for review,
01:01:28.467 --> 01:01:31.977
obviously with the school committee and
things, but you could save, a district
01:01:31.977 --> 01:01:36.927
could save a lot of money and still
have a common core compliant textbook.
01:01:39.312 --> 01:01:39.762
Speaker: Oh my gosh.
01:01:39.792 --> 01:01:40.062
Okay.
01:01:40.092 --> 01:01:41.082
We're running out of time.
01:01:41.082 --> 01:01:42.912
And I know, sorry, Beth, do
you have to leave in a second?
01:01:43.782 --> 01:01:43.932
Yeah.
01:01:43.932 --> 01:01:45.762
I'm like, I'm thinking about
like, school points are the
01:01:45.762 --> 01:01:47.892
ones that like review textbooks.
01:01:47.892 --> 01:01:48.852
They have to approve it.
01:01:48.852 --> 01:01:52.692
There has to be a public, like policy
that has to have like public review.
01:01:52.782 --> 01:01:53.952
Oh my goodness.
01:01:54.012 --> 01:01:54.642
Oh my goodness.
01:01:55.362 --> 01:01:55.662
Okay.
01:01:55.662 --> 01:01:57.942
We're gonna have some more
conversations on this one.
01:01:58.212 --> 01:02:03.222
Speaker 2: Every single one of these
with Chris generates 10 or 20 new
01:02:03.222 --> 01:02:07.842
episode ideas because it, there's
just, this space is just mind blowing.
01:02:07.842 --> 01:02:12.252
Like, I'm just, as I'm, as you're
talking, I'm like taking, if you see
01:02:12.252 --> 01:02:15.912
me on my phone, I'm literally writing
notes to myself and getting ideas about
01:02:15.912 --> 01:02:18.642
how to do my a PUS history review.
01:02:18.642 --> 01:02:22.542
It's like, it's almost, I don't know
how, I know we have to go and I have
01:02:22.542 --> 01:02:26.407
to go, but I know people in the chat
feel this way as too, it's like, I,
01:02:26.412 --> 01:02:31.092
I, I'm, there's so many things that
concern me about ai, but I will say
01:02:31.092 --> 01:02:33.912
as a teacher, the back end stuff that.
01:02:34.437 --> 01:02:40.347
Helping me do has been so beneficial
to my students in ways they don't
01:02:40.347 --> 01:02:44.127
know because they don't like ai
or they say they don't like ai.
01:02:44.127 --> 01:02:47.247
But I, it's really
helping in a way that I'm,
01:02:47.247 --> 01:02:47.367
mm-hmm.
01:02:47.997 --> 01:02:49.377
Speaker 2: My mind is blown every day.
01:02:49.437 --> 01:02:50.602
So thank you, Chris.
01:02:50.752 --> 01:02:51.042
Speaker: Okay.
01:02:51.042 --> 01:02:52.917
So, um, I'm gonna end in a second.
01:02:52.917 --> 01:02:56.487
I'm gonna end with a, a video that I
produced while we were talking, um,
01:02:56.517 --> 01:03:00.747
taking a spoof of our SNL stuff, but
using Legos since we were talking about
01:03:00.747 --> 01:03:02.847
Legos to, to bring everything full circle.
01:03:03.207 --> 01:03:06.477
Um, but I would say the keynote
that we did last month with
01:03:06.477 --> 01:03:08.547
Rebecca Winthrop from Brookings.
01:03:08.547 --> 01:03:08.607
Yeah.
01:03:08.817 --> 01:03:11.457
We should, the four of us should
get together because that was
01:03:11.457 --> 01:03:12.867
such a fascinating conversation.
01:03:12.867 --> 01:03:15.807
Like, I would love to talk about these
textbooks, the ethics, all this stuff,
01:03:15.807 --> 01:03:18.657
and just kind of, because Uhhuh, you know,
clearly we have more to talk about there.
01:03:18.657 --> 01:03:22.017
So stay tuned for a webinar
near you coming sometimes.
01:03:23.037 --> 01:03:25.797
Um, during our terrible twos,
since we are now two years old.
01:03:26.817 --> 01:03:27.237
Speaker 2: Oh, watch out.
01:03:27.327 --> 01:03:29.037
Speaker: That's yes.
01:03:29.847 --> 01:03:31.467
Alright, everybody, thank you so much.
01:03:31.467 --> 01:03:33.957
I'm gonna end with this
really quick video.
01:03:33.957 --> 01:03:36.927
I can't guarantee, um, quality
01:03:39.237 --> 01:03:39.507
Hmm.
01:03:40.947 --> 01:03:45.597
Speaker 4: In education today, we are
drowning in information that is just
01:03:45.597 --> 01:03:50.367
a typical Monday morning now featuring
personalized ads in every lesson.
01:03:50.967 --> 01:03:54.417
And yes, an AI degree is now mandatory.
01:03:55.077 --> 01:03:57.327
It is the future.
01:04:00.792 --> 01:04:01.082
Speaker: Okay.
01:04:01.287 --> 01:04:03.762
Not too bad, not too bad, honestly,
but, you know, I also, okay.
01:04:05.922 --> 01:04:05.982
Yeah.
01:04:07.662 --> 01:04:11.352
Um, Chris, Chris, I, I'm
also gonna challenge you.
01:04:11.352 --> 01:04:12.672
I'm gonna challenge you Chris.
01:04:12.882 --> 01:04:17.082
Uh, one of the webinars we did with you
a while ago was kind of an AI competition
01:04:17.112 --> 01:04:20.442
of, we're gonna have, we're gonna have
to bring back the prompt off or the,
01:04:20.562 --> 01:04:22.992
you know, product AI off of some sort.
01:04:23.502 --> 01:04:25.722
Uh, and let the, we'll have to
bring that one back to the next,
01:04:25.722 --> 01:04:27.072
next session for a fun thing.
01:04:27.552 --> 01:04:28.512
We'll figure what that is.
01:04:28.782 --> 01:04:29.142
Okay?
01:04:29.142 --> 01:04:30.282
We are going on way too long.
01:04:30.342 --> 01:04:32.442
Um, you guys are fantastic.
01:04:32.502 --> 01:04:34.212
Um, I hope you guys are all staying.
01:04:34.212 --> 01:04:36.942
Thank you for, thank you David,
for our second anniversary.
01:04:37.302 --> 01:04:37.962
Um,
01:04:37.967 --> 01:04:38.207
thanks
01:04:38.207 --> 01:04:38.367
Speaker: David.
01:04:38.372 --> 01:04:41.622
And, uh, excited for,
you know, more to come.
01:04:41.622 --> 01:04:42.342
We've got a lot more.
01:04:42.702 --> 01:04:47.262
And we have a new webinar that's coming
up next month, um, that is on our website.
01:04:47.262 --> 01:04:50.562
I may have to email it to you 'cause
I didn't have the link ready to go.
01:04:50.562 --> 01:04:57.192
Silly me, but it is about career, um,
and using AI and what we need to do.
01:04:57.192 --> 01:04:59.082
So if I can't find it, I can't.
01:04:59.082 --> 01:05:01.182
So I will make sure you
guys get that email invite.
01:05:01.392 --> 01:05:01.752
All right.
01:05:02.967 --> 01:05:03.237
All right.
01:05:03.237 --> 01:05:04.797
Any final words, Chris or Sarah?
01:05:04.797 --> 01:05:06.267
Beth before I say goodbye?
01:05:06.267 --> 01:05:06.927
Adios.
01:05:07.017 --> 01:05:09.417
Um, and go find my daughter who,
I don't know if you saw her.
01:05:09.417 --> 01:05:12.357
I just gave her my credit card
and said, go fi, go feed yourself.
01:05:12.357 --> 01:05:12.402
I saw that.
01:05:12.502 --> 01:05:15.687
So I need to go, I need to go,
uh, deal with that one soon.
01:05:15.687 --> 01:05:15.927
Yeah, I saw that.
01:05:18.117 --> 01:05:18.837
Good luck.
01:05:19.752 --> 01:05:20.362
Speaker 5: Take care everyone.
01:05:20.392 --> 01:05:21.122
Speaker 2: Good luck with all that.
01:05:22.527 --> 01:05:22.827
Thanks
01:05:22.827 --> 01:05:23.277
Speaker: everyone.
01:05:23.697 --> 01:05:24.507
Alright, bye.
01:05:24.567 --> 01:05:24.957
Good luck.
01:05:24.957 --> 01:05:25.737
Thanks everybody.
01:05:25.737 --> 01:05:26.127
Bye.
01:05:26.127 --> 01:05:26.187
Bye.
01:05:27.539 --> 01:05:29.779
Kelly Booz 2: That's a wrap on
our two-year birthday episode
01:05:29.809 --> 01:05:31.349
of The AI Educator BrAIn.
01:05:31.499 --> 01:05:35.039
Huge thanks to Christopher Penn for
showing us what NotebookLM can really
01:05:35.039 --> 01:05:38.679
do — and for casually mentioning
he did his taxes with AI, which
01:05:38.679 --> 01:05:40.369
we will absolutely be revisiting.
01:05:40.591 --> 01:05:44.251
If you want to try NotebookLM yourself,
we'll drop a link in the show notes.
01:05:44.401 --> 01:05:46.921
And if you're an educator in
a Google Workspace district,
01:05:46.961 --> 01:05:50.351
you may already have the paid
version — check with your IT team.
01:05:50.616 --> 01:05:54.586
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and you can still take it on demand and
01:05:54.626 --> 01:05:56.636
earn free professional development credit.
01:05:56.756 --> 01:05:58.566
Head to sharemylesson.com
01:05:58.566 --> 01:06:00.826
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01:06:01.118 --> 01:06:02.698
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