РАСШИФРОВКА 🔗
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Created: 11/13/2026 00:45:22
Duration: 3162.644
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Hey. 11/12/2026.
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Morpheus community town hall. Local models,
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foreign affairs.
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Also, there is something wrong
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at
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NVIDIA.
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I didn't feel good about writing that one down, but, you know, we'll put it out there on the
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on the stream.
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Yeah. So lots to talk about this week. Before we dive into all the craziness in the news, model updates, things like that that people might have seen, we wanna start with the stuff that, you know, people maybe haven't seen if they're not tracking the Morpheus GitHub and and all the other, you know, projects,
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you know, going on on Morpheus.
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Really, really quick before we do that, just want to peek at the throughput stats. We're getting close to 70,000,000,000
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tokens processed,
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which is awesome.
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We're not quite as up in a straight line to the right as we were, you know, maybe two months ago. However,
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still tons and tons of things getting done. I'm looking right now in October, 60,000,000,000
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native tokens processed through the router.
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Month to date, we are already at 2.6
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for November, so on pace to
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to beat October.
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I'm not sure. Was there any, like, specific reason why we think October might have been a small step back relative to September?
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Some of it may have been models.
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I can see that some people put on some popular video models that are now the top for token consumption,
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and that seems to be driving
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the use. Because if you look at the graph, these things basically go in waves.
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Right? And you have the GLM 5.2 wave and then the DeepSeek wave. And so you really want
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the providers
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providing
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the most popular thing. Because as soon as the next thing comes out, the last one kinda dips,
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and it's like, how fast do people make that change? I think that's a lot of it. Yeah. That makes sense. Well, and it's hard too. I mean, when you have literal
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four x growth from July to August and then another nearly two x from August to September, it's it's a hard trajectory
Load full transcript
to keep up in a perfectly straight line. But but if we compare, you know, October even back to July and August, we're considerably outpacing it still. So still, you know, start measuring whatever, a six... Sixty day increment, and there's considerably more throughput, which just ultimately means more activity.
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On to other things. Let's also just take a look really quick.
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And, actually, I'll share my screen here for this one. Sorry. I forgot for a second that we have the technology.
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We're actually live and live and in person. Yes. Yes. We can do that.
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Activemora.active.mora.org
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is where I'm looking right now. Just checking out what is
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routable. So nearly 240
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routable models, a 110 of them being redundant, meaning that at least two
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compute providers, which there are 20 online currently,
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at least two are providing
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that same model, which is what makes it redundant.
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So
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I saw some... Actually, you know what? We'll we'll save that for a little later in the show. I have I have some comments here, but we'll we'll come we'll come back to it. But, yeah, this is awesome to see. Tons of redundancy, tons of models. This number should just continue to grow as well as people build things and they want access to various models and compute providers,
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you know, can obviously
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see that, take take advantage of those opportunities.
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And and this is, in my opinion, like,
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the ethos of
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Morpheus the Protocol because
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I want
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permissionless,
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perpetual
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access to intelligence,
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and, like, that is literally this. Like, this is, you know, what that looks like, basically.
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Not sure if you guys have any comments there. Otherwise, I would like to hear what's going on in your guys' world and, you know, anything new that be shipped or is about to ship that we can we can talk about from the community.
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Well,
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just on that point, you know, there was a
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realization by some people this week that
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if Navidea changes course on open weights,
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and I believe they purchased Hugging Face.
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They did. So They did. Now Hugging Face has started removing models. People are like, maybe
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we need a permissionless way to access models.
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And little known fact,
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there's an IPFS node
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built into
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every single Morpheus
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inference node.
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And so I've got mine running. I
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would encourage others. If you wanna be able to download and persistently store in a decentralized way
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the models,
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it's a great thing to do is to contribute to the network in that way as well. So just highlighting that, just kind of putting that out there, you know, in the off chance
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that there's some feature censorship of models.
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Yeah. It's it's funny you say that, David, because that was exactly the thing I was about to comment on, but I said I would wait, but now I'm not going to. Yeah. This...
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There seems to be I scooped your bow. I scooped you. Here we go. I'm
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glad you did because, yeah, there seems to be some waking up to the fact that this is a possibility and and if not, you know, a likelihood that something like this could happen. And there there
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are some big players on X asking this question, like, has someone built this yet?
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Yes.
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Yes. It exists. Yes. We have. Yes. Yes. The community has. Yeah. We have built this.
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So
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definitely check that out. Think about that, what the implications are. And, like, it just highlights the importance of Morpheus. Like, this is why it exists as a... You know, owned by no one, no central
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entity. Like, it's it's permissionless.
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Everyone has access to the contracts.
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The the node can be used.
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It's a public good, ultimately, is what I'm trying to say. And, like, this is exactly why.
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So, yeah, very... Not cool in one sense, but cool in another sense that, like, yes, people thought of this, which is which is nice.
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Alan, do you have anything from your side? I know that you're always doing stuff. Like, what's what's the latest?
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So
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on the note, we... I think we talked about this a couple weeks ago, and and David mentioned it briefly on video. I do not. I'm terrible. My my goal is to at least have one good release a week, and so this week, I've I've failed. But I think a couple weeks ago, had two, so maybe that that makes up for it.
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But we are working hard on
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making sure the video stuff is routing well. So not just to the node, but to the API gateway and then the app as well. And that's a little bit heavier lift than your normal LLM and LLM and chats.
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So we want... Again, we wanna make sure we get it right. We also have a other bundle of fixes
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from the community as well. So
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no three... No dot seven dot two zero today,
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but soon. And that's gonna have some of the video stuff, and I think we'll be talking about that in the coming weeks. A lot of good stuff there.
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On Node. Neo,
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three dot eight zero was released a couple days ago and
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per
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community request on Android.
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So that's up on the Play Store. Look for node neo, all one word, no spaces.
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That's that's easy. I need to figure out how to get the the searches right to... You know, when you search it for Morpheus or something like that, it comes up as well. But Node, n o d e n e o,
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if you want the decentralized AI in your pocket
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in either Android or or Apple devices.
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And by all means Alan, I know that was one of the big requested things is get it on Android. Now it's on Android.
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It was it was, I think, milliseconds after the the announcement post, someone, you know, the usual, you know,
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when droid.
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And so I had I had fun answering them yesterday. It's like the time is now.
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So that's that's good. I'll be interested to see how that uptake is and some of the feedback.
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And see... And it's funny. It may... That may drive different model behaviors as well.
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You know, what do people wanna have on deck on hand when they're not doing big development work? Just normal everyday chat. How's my finances? What's my health look like? Any of those private conversations that you'd rather,
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you know, not have as training material for someone else. So as usual, Node neo, your AI should not take notes for somebody else. Oh, I like that. Thank you. Also, Morpheus Asia, if you're listening, it's on Android.
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There you go.
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There you go.
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So exciting. Asking any promises made.
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Yes. Yes. Promises kept.
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Well done. Yeah. Those are... So those are those are the software releases.
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Got a couple much
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talked about some of the the upcoming smart contract changes as as tightening up. We've got some epics that we're kinda trying to lay out over the next couple of months.
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But, again, no shortage of changes and needs and feedback. So keep building
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as the man says.
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Yeah. Absolutely.
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David, anything change on your side of things or any... Anything else that you're aware of that ship this week?
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You know, I think this week has been sort of dominated by the the drama the last few days. So Yeah. You know, I think the question is, what is the effect on us? What is the effect on the Morpheus community? You know? The the the sort of sad thing is, you know, Jensen was
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the
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the supporter
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of open weight models. Right? Famously came out with his letter and encouraged everybody to support open weight models. So I think he officially resigned an hour ago Yeah. If I'm not mistaken, if you guys have checked under. So
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what happens now? Like, does NVIDIA
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change course? What's the new leadership like?
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You know? But it it kind of, again, confirms this is why we need protocols
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that aren't
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susceptible to leadership change and the wins of politics and all the rest.
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Yeah. No. Completely agreed. Although
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Spinzone,
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maybe Jensen takes a full dive into decentralized AI
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now that he's he's got some free time on his hands.
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So maybe, yeah, it's it's possible that he, you know, even further solidifies his stance to promote open source. Maybe there's this arc where... And I don't know who the new leadership is. I I have no idea. I don't even know if they've announced it or not. I'm sure they haven't. Oh, they have? Okay. Yeah. One of the one of the interim c suite is take a... The CFO, I think.
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I could be wrong. I saw that a couple of a couple minutes ago, but... While they do a CEO search. But... So they've they've got... It was interesting. I saw they didn't have a real succession plan. It was interesting that some of the write up talked about some of the culture that he brought.
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And it was like knowledge sharing at a broad level, but no true kinda succession planning, which will be interesting to see how that flows out in big corporation like that
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because of all the cascades. So the the fallout both
in in the AI, the models, the open source,
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the chip manufacturing in general, the relationship
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overseas,
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and their corporate structure will be very interesting. It's it's going to be interesting.
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Yeah.
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At the very least, it'll definitely be interesting.
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I
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wonder... Yeah. Like, maybe this is an arc where NVIDIA takes a super dark turn into, like, centralized megacorp AI ville, and Jensen tries to be the, you know, hero out of the ashes
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to become the open source,
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you know, like, champion of the world, basically. One of the immediate rumors was is Elon gotta hire him
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to build the TerraFab.
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Oh, yeah.
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They immediately released an open position to lead the TerraFab,
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which, to be fair, will be the largest chip foundry on Earth with the combined capacity of all other chip factories times 10 or something. Like, it's this absurd scale. So if there was anything on earth he's gonna do next, Elon immediately replied. Like, it would be on... An honor to work with him. An honor. So Yeah. Maybe a $100,000,000,000 comp package
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upon the, you know, completion of the world's largest chip factory,
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and that's his that's his new arc. I don't know. We're gonna find out. Man, that would be really What
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a day to wake up. And, you know, if that does end up happening that way, man, what a pickup for Elon. Like, I can't even imagine
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waking up and being like, oh, man. That's... It's like... I'm trying think of an equivalent. I mean, it's like...
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I don't know. If, like, all of a sudden, ten years ago, LeBron James just, like, became available and was like, yeah, sure. I'll join your team. Like, I have nothing else to do.
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Wow. That's crazy. Yeah. Well, I mean, we'll see how it plays out. Obviously,
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this is another instance of
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poor decision making
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being, like, a massive downfall to someone and, like, so avoidable.
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Incredibly avoidable. But, you know,
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here we are.
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Yeah. It's it's too it's too bad. The interesting thing if we go if we go down sort of the the the conspiracy theories is, like, other people in that position have weathered those storms
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better or... You know? So it's interesting that all of a sudden that came to a head and and it... And he's out. So you wonder, you know, what else. Right? What else is going on
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and where else? You know? Is it is it some of the noise and cry of of...
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From the political fallout from from a couple weeks ago or something else? So it's... Like anything else, this is why I can never get out of x is is all of a sudden, they they pull me back in, and there's something else like, well, that's interesting. Wanna kinda gotta see what happens after that.
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Maybe maybe maybe
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maybe Jensen rides off, buys a yacht, and is never heard from again.
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Or,
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you know,
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any of the spectrum. So it's always... It's it's like the the best and worst
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drama TV show you could imagine on X these days. I don't know. He... He's wired for it at this point. You spend three decades
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building. He's addicted to You're a builder. Like You're a builder. A serial entrepreneur that's addicted to it. Like Yep. You know, what's he gonna do in retirement? Like, play golf? Come on. Garden? No. That's... Yeah. Well, that's the thing that sad. That would just be sad. I always think that's funny because builders,
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you know, even flawed ones.
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I always think that's funny. You're exactly right. That's one of those things...
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Hey. What's going on? It's Bronze Buddy doing Timekeeper. Awesome. Glad you could join us, man. Welcome. Welcome. Hey, guys.
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Hello. I I just wanted to make one one point on that, David. That's one of those things where...
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It's exactly right. People are always like, oh, if if I, like, had this successful startup and made this big zag zit, I would never work again. And it's like, well, the people who do that will work again because that's how they got there in the first place. Like, they're not... It's generally not the type of person who's just gonna pack it up and be like, yeah. You know what? That's fine. I'm just gonna golf for the next thirty years. Off off to the wilds to fish somewhere. No. It... You gotta keep... Building is addicting.
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Yeah. You gotta build.
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Exactly right.
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Well,
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welcome. Why don't... I think it's your first time on the space. Why don't we get an intro? And building with Brian about how cool it is, and glad that you carved out time to join us. Yeah, Matthew. Thank you, man. Yeah.
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Thanks. I I jumped on early, I got the link, so I'm I'm happy to be here.
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You
might have gotten bad data this week. So we usually do start at one, but we started at 12:30 this week. So that's why we were, like, already rolling. Nothing you did. No worries.
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But, man, it's awesome to have you here. We'd love to hear a little bit about Timekeeper and what what you guys have going on. Yeah. Matthew Johnson here, and really excited to be enjoying with you guys today.
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About a year and a half ago, I got into this space
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basically as a passion for preserving history. And, man, it's been an awesome ride.
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Just learned a lot, loving the technology.
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So what we're what we're doing is working to use technology,
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AI,
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to help people preserve history, and that's that's the Timekeeper app.
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And then, you know, running into to Brian and a and a few of you guys over the the past year has been really
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amazing to learn
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what we can do with AI to curate data
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and
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also
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using the open source tools in the Morpheus network. That's been amazing to have
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compute at our fingertips, basically, whenever we need it and getting incredible
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results. So that... Yeah. That's that's what we're working on right now, just taking
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taking historical data and bringing it to life with the power of AI while preserving its original authenticity.
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So TimeKeeper,
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we...
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Any data that comes into the system is time stamped,
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and
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we know that that's the original source data. But then afterwards, you can do, you know, a lot of stuff with it. You can clean it up with the with the AI. You can
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share it with your friends and family. And we... You can even make little video clips out of your ancestors' photos and...
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Which is just incredible. So the goal the goal with TimeKeeper is to to bring history to life for people and to do it in a way that's safe where, one, their data stays
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theirs. You know, it doesn't belong to anyone else, And that's why we're using open source tools, using the Morpheus network for compute
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so that the data stays in the hands of the individual.
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And from the beginning, that's kinda been my premise to build this system,
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is we live in a we live in a age in a world where
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everything belongs to to the big corporations
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and everything's gone to a SaaS model. And my goal is to give people a tool to work with their history that kinda reverses that. I I know it's
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different from all the models out there where
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everything's going big and corporate, but to give people a tool they can use that's powered by distributed compute, that's open source, that's safe,
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and in the... At the end of the day, the data remains there. So that... That's what we're working on. Does answer your question there? Yeah. Absolutely.
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And and is there is there a link or anything I can show on my side,
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Matthew, that just kinda shows off, like, your guys' UX or anything like that?
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Yeah. Perfectionimage.com.
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And then there's actually a demo archive on there.
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Perfect. Hang on one second. Check out And by the way, to everyone watching, I... Right as...
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Sorry. Do you go by Matt or Matthew? Matthew. Matthew. Right as Matthew was jumping on, I received a text from one of our community members saying that Matthew was hopping on with us, but was jumping on early so we could, like, run through a test. He did not get the opportunity to do that because we had started early this week. So Okay. That is not on him. That is on us. Just wanna put that out there. Although, Matthew, if it makes you feel better, we... A couple weeks ago, we did this live stream as part of a conference in Provo,
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and we did do a full run through and test. And then on the time we were supposed to start, all of the tech broke. Literally, everything that was I
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conference. Yeah. Okay. Yeah. It was a nightmare. I wanted to die. And I had just told Alan, like, literally ten minutes prior that I hate... Like, I'm so nervous to do it with a live audience because that's when stuff goes wrong and... You know? Sure enough.
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But, anyway, here, let me let me share. Also, Christopher,
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look at this guy. While you're while you're bringing that up, Matthew, nice nice to meet you. Yeah. And welcome. I'm glad to meet some of the other... The the Morpheus
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fanatics.
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It's interesting, and and I hope this is not
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too out of out of whack, but what you described, especially with family history, the image that I got initially was
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the old family bibles.
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Right? Where people would pass this down, and it was theirs. It was a protected...
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It had history. It had notes. It had people. It had that lineage that was theirs.
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And I don't know if that's
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not the theme, but boy, did that pop right into my head when when you talked about it was this is the resurgent. It's ours. It's not a big corporation that doesn't live on any of the big guys. It's something that is...
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It can be passed down and not messed with. And I I love your... Love the idea. I love your idea.
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Yeah. We're actually... One of the things we really focus on preserving is is family bibles and family journals and family records and
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and keeping them preserved in their original state, but then using the Power BI to extract names and dates and,
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you know, find information about your family. Yeah. If you scroll down a little bit through the web page there, you can see some of the the UX
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screenshots.
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Oh, yeah. Sorry. You said hit explorer demo archive? Yeah. If you do the demo archive, then that actually...
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It it takes a minute because it's loading a... It's actually preparing a
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user experience
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that anyone can test out the
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the archive live. At least we hope they can. That's the goal.
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Nothing like a live nothing like a live demo. The live demo the live demo is what it... It goes. Right? It's... It can work out.
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The moment you stick it on a live feed is when you're gonna have an issue. By the way, this is why I'm I'm so glad we changed formats. So we used to do this call strictly with audio just through xSpaces,
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but a month or two ago, we switched to video. And I'm so glad because, yeah, now we can jump on, try to do stuff in real time. And,
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also, I just love seeing another face pop up. Like, Matthew jumps on, Christopher jumps on, and all of a sudden, it's like someone walks in the room. So it's great. I love it.
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While this loads
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Yeah. It's not loading on my end either, so maybe just go back to the main page and just Sure. Go through a couple of the features real quick.
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Yeah. If you just scroll down there on the... On that page. So the...
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You know, it's a full archive
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suite, has all the tools to curate your data. And then on top of that, we've built in all the AI tools that are running on the Morpheus compute
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to work with your data.
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So when you send a request out, it's staying on that distributed network.
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It's it's not going to, you know, one of the big providers.
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And then the the... A real exciting thing that...
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One of the features at this point... Yeah. So the restore photos. That... That's my grandpa right there.
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And you can see how we use the the AI to to bring to bring it back to life.
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Yeah.
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It's pretty powerful. Yeah. That's wild. And then, obviously, we can't demo it here on on the website, but the tools for data extraction and
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finding insights on your data is is just powerful. You you can find things that...
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You can sort through thousands of documents in in minutes and find connections and then share those with family members. And we now have a live feed in your archive when you first log in. It just shows you a live feed of, like, what happened on this day,
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what was going on with your...
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And your family history on that date, and and stuff like that just to kinda give you a good a good way to work with your data. So is it almost like...
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That part of it is almost like a a social media dedicated
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to, like, your family, basically? Like, within your family unit, you have your own record of just kinda everything.
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It's like can invite friends and family to join it. There's three different levels. You can give them full access. You can give them read only access. You can give them comment access. And so then you can collaborate with all your friends and family
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on the data
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within Timekeeper.
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This is like the natural progression of the family group chat. You know? Like, you have the family group chat. This is like endgame of that. I love it. That's the goal. And that... I think you actually said it so well there. That's kind of the end goal is to give families the ability to
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interact in a in a way that brings the past into the present and makes it fun
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and makes it
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visual because we're all visual these days. Everything's gotta be visual and quick and nice. And
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my my goal was to bring the next generation into this love of history.
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And I think the best way to do that is visually. So it was very photo centric.
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You know, we started the app working with photos, and we've moved into documents and audio and video. But photos is kind of the the
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goal... The first thing that started out was bringing photos back to life.
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I lost my train of thought there for a second, but I was No worries. I was gonna say... I just... Yeah. Oh, yeah. Bringing families together.
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What... Know, when when it's in a... An app on your phone,
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then everyone can share and connect. So if it's sitting in a box in the attic or in the basement,
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then it... It's it's lost everybody.
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Yeah. So the the goal of Timekeeper is to bring those boxes to life, bring them into the age where it's on your phone, and yet keep it yours because I think that's really critical. There's a lot of other people out there that, you know, you scan your data, and then the... It belongs to whoever...
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What... Whoever's app you're using. It's their data,
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and it's monetized and advertised to. And our whole goal is to flip that around and keep the data private.
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It belongs to you, and AI is just a tool that you use to help bring it to life and curate it.
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Yeah. No. I mean, I think that's fantastic. And and you're exactly right. I mean, who wants, like,
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x y z megacorp
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profiting off of your dead grandparents or not... You know what I mean? Like, it's just one of those things that's, like, that's just crazy that that's even
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the reality of what we're facing right now, but it is. And not and not even that. Like, to your point, the intimate documents. Like, you might have a journal from, you know, somebody a 100 years ago or, like, something like that that's very intimate to the family.
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Have you guys talked to or done any exploration with, like
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like, museums or, like, other archives or, like, libraries or things like this where they might have, like, a private collection? So we have over 1,500,000
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scans that we've done with local museums,
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local county libraries.
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Our largest collection is over 200,000 scans with one museum.
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Wow. And then we've curated the data sets for them. I've been doing that kind of just as a a pilot, you know, test program to really beta test the system,
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you know, fill it with information,
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and it's been very effective. You know? I I I sorta... I talk about the power of using AI to to work with your data.
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You know, we had 87,000
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files come in from a Iowa library,
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and they were just in the most random
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order.
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There was no order... No structure to it. And so I just used the built in AI within Timekeeper and told it, hey. I wanna organize these into yearbooks,
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family histories, local histories. Basically, I gave it the criteria I wanted, and it took forty five minutes to go through, you know, 87,000 some files. And it came back with a fully curated tree. And I wish I could share that with you if I could share my screen, but I guess... Yeah. Hopefully, we can do another
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demo in the future that we're more prepared when I'm more prepared for it. But No. No worries. Yeah. We can definitely have you back on. We do these every Thursday. So Nice. But, yeah, and that was all powered on on open source compute. And I think that... That's the goal that I wanna share with the group today is that if you have 87,000
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files and they're your documents, you don't wanna send those to any of the the large LLM. You don't wanna send them... I won't name all the names. We all know who they are. But, you know, you send all that out there.
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It it... It's used as training data. It's used
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in...
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For advertising purposes.
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But if you're using open source distributed compute, then it's it's yours. It's safe. You don't have to worry about it getting out there and being used. So that's... That was kind of the the motivation for us to go open source with the compute was because the data we're dealing with is
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personal and often private. Like you said, a personal journal. We've done a lot with journals. You know, we could OCR
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the original cursive handwriting and have had phenomenal
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results with that. Mhmm. A lot of... Even my kids complain they can't read cursive.
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And so I can take my grandpa's journals, and I can scan them in here to Timekeeper. I can turn OCR them into text, and then they can read them and enjoy them. So that... That's the tools we're giving people to help them
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interact with and and connect with their history.
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This makes me think of...
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So a concept that we've kinda had around the Morpheus community for a couple years now is this idea of nonfungible
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agents.
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So, like, I... I'm I'm assuming, Matthew, you're familiar with NFTs, nonfungible tokens. Right? Uh-huh. So so it's a similar concept, but basically this idea that you can have,
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like, an agentic AI or product
that has a limited number of copies that you can verify is the real original.
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And I could see a world where, like,
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it... I don't know. This is may... This is an extreme, so this is definitely an edge case. But let's say, for example, you had a family member who was, like, an author or an artist or had some type of, like,
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life and history and experience that other people would wanna interact with, you could make a nonfungible agent with their
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private works in this way, and that would be, like, a perpetual royalty resource for your family. Like, in other words, like, the value and, like, the intelligence that you create while you're alive can be something that your family benefits from long after you're gone in a way that's not possible today because there is no way to, like,
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well, one, like, organize that information, keep it private,
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verify that it's from the actual source that you're saying it's from.
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And and, like like, I perceive a time where
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someday,
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who's like a, you know, a great thinker of the day,
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you know, whatever, just use Elon as an example. I perceive a time in the future where there is an Elon nonfungible
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agent that's owned by the Musk family or whoever, and I can have a Zoom call with literally all of the intelligence that was recorded, private and public, of Elon.
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Right? But, like, you could only do that if you had access to all of that information and data and if you, like, as the family, can keep it private and and
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retain ownership of that,
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which something like what you guys are doing
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is like a a baby step in the in the direction of that being possible,
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which is which is cool. Not baby steps maybe underselling.
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It is a step, you know, in that direction of, like, that real real life.
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But you you read my brain, brother, because that's actually the direction we're headed. And what got me started in this is
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allowing individuals and families to preserve their data
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for generations to come because we... We're moving into a world where data is the only thing that's gonna matter pretty soon.
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Data is everything.
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And so we want... We built Timekeeper to give people a place to store their data.
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So we're there, and like you said, people come to you
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for access to it rather than the other way around.
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With all the social media platforms to date, the data belong to the corporation.
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And I I kinda like to compare it to your belongings in your home.
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You know, when when you move, you take all your belongings with you.
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And right now, data isn't managed that way. When you move and leave a platform, they keep your data. Mhmm. And going forward, Timekeeper, the the premise will be that, yeah, you have this set of data,
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and it's yours,
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and it could be authenticated.
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Even a hundred and fifty years from now, it could be authenticated. This is original source information. This is original data
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and can be used by the by the family. If it... If it's a community library, the the same concept that same concept that the data...
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Authenticated data can be preserved for generations
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and actually be an asset
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rather than...
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It's, yeah, it's it's a real digital asset. Yeah. Yeah. Sure. Totally. So so an idea... Think... Oh, I
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was gonna say the other part of this is, like, it it... There's an asset on on multiple fronts here. Right? One is the one that conveys
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that you're able to, you know, you're able to sell and someone can, you know, someone can tap in, you're able to monetize it. But I think, you know, there's a real asset in having those memories because I I think this is probably the first time...
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You know, we're we're hitting the first generation of people who have,
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you know, the the... That have pictures, vast amount of pictures. I know when I grew up, you know, it's like... I think if you look... My guess is, Matthew, is you, like, go back through families.
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Some families will have a handful of photos. Some will have... You know, they'll they'll have, you know, 20 or 30 photos, but it's like this will be the first generation where there's the the... You... You're able to have,
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you know, a lot of images, a lot of photos of what happened and what families went through. And then it's like keeping you... Keeping your legacy. Right? Is is Yeah. I think that's, like, knowing... People knowing where they come from. And we look at we look at the culture today,
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and
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it gets, like, it's like fast food. So many so many people really don't know where they came from, their family background is,
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or or their...
Like, their community is kind of the same thing. And that's that's... It's somewhat of a Chesterton's fence
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from a from a culture perspective of knowing where you came from, what your... You know, what what the value sets were.
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And so, you know, you're you're getting an... You're building an asset on both sides on it.
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But I had I had one question, like, looking at this. Where did you... Where have you seen... You... Obviously, you have the open source tools kinda powering
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on the background as people are are using it.
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Where did you see the biggest jump where you were using open source models and you looked and you said,
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wow. Okay. This is this is really this is really hitting. Right? You know, this is this
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is this is the intelligence level. Right? The the the
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the experience with open source where you just were, like, kinda blown away by it.
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Yeah. I mean, from the beginning, I wanted to work with open source, so I built myself
373
00:34:11.070 --> 00:34:15.790
a a beast of a machine. I mean, I put $50 into my computer that's sitting right here in my office,
374
00:34:16.510 --> 00:34:20.990
and I was just blown away with what I could do with data. I'm complete open source models.
375
00:34:21.550 --> 00:34:26.270
And I was like, I need to share this with the world. And that was kind of the catalyst to start building the Timekeeper app
376
00:34:26.655 --> 00:34:28.895
that anyone should be able to do this
377
00:34:29.215 --> 00:34:32.015
with the power... Because AI has opened up doors
378
00:34:32.575 --> 00:34:41.855
that weren't there before when it comes to working with data and processing it and finding connections. So I'm so excited about that. I think from the beget... That's what happened for me. It's just on my own machine,
379
00:34:42.480 --> 00:34:46.160
you know, building something that could run the models and then saying, wow.
380
00:34:46.880 --> 00:35:01.795
The the whole world needs access to this. And so that's what... We started building Timekeeper out with that same premise that not everyone can afford to build a a server in their in their home. Right? But they should have access to this technology. And that's where Morpheus came in. It was like, okay. That provides the tool
381
00:35:02.275 --> 00:35:05.395
that the same concept is running it in your home,
382
00:35:06.675 --> 00:35:10.515
but you have access to that and and incredibly powerful compute
383
00:35:10.860 --> 00:35:12.220
to work with your data.
384
00:35:14.380 --> 00:35:18.540
Was there was there a specific was there a specific... I appreciate the the Morpheus
385
00:35:18.540 --> 00:35:37.695
the the Morpheus plug there. But was there a specific model that that that you you saw and you experienced that you're like... That, you know, this is it? Yeah. The the Quentin models. Model that was? Yeah. The the Quentin models I've been Okay. Very, very pleased with. And since we're working a lot with photos, you know, that... That's a very good multimodel.
386
00:35:37.695 --> 00:35:44.410
And I'd say most of what I run on my home machine are all some version of Quinn.
387
00:35:45.770 --> 00:35:51.130
That's either the original open weight models or community modified models for specifically
388
00:35:51.130 --> 00:35:52.490
for photo editing.
389
00:35:53.290 --> 00:35:55.130
There are some out there. That's what I
390
00:35:56.525 --> 00:35:57.805
that's what I run on my
391
00:36:03.725 --> 00:36:07.965
you spell that, Aaron? Very cool. Is there... And then is is there a is there a tool that...
392
00:36:08.685 --> 00:36:14.610
Looking at from an AI Workbench perspective. So you've got the model that's kinda powering it on the backside.
393
00:36:14.930 --> 00:36:21.570
Why... Is there a is there a tooling set that you work with that you've really you've really found that's
394
00:36:21.730 --> 00:36:24.690
that's been a a... An unlock for you as far as
395
00:36:25.455 --> 00:36:28.575
from execution... Your be... Ability to execute and leverage?
396
00:36:29.535 --> 00:36:31.135
Using AI models?
397
00:36:32.335 --> 00:36:41.440
No. Yeah. No. Like, on the workbench side, are there any is there any tooling? Is there, you know, the brain structure? Are there, you know, the... Your your CLI?
398
00:36:41.440 --> 00:36:48.960
I'm getting you behind the nitty gritty here a little bit. But things as as a builder that you found that are underappreciated
399
00:36:49.280 --> 00:36:54.720
that a lot of... You think a lot of builders would benefit from if they were to integrate into their workflows.
400
00:36:55.415 --> 00:36:59.255
Well, I'll just be up front and say that this is a totally new field to me, and I have
401
00:36:59.575 --> 00:37:02.215
built all of this not even knowing what I'm doing.
402
00:37:02.615 --> 00:37:03.255
So...
403
00:37:04.535 --> 00:37:08.375
Yeah. No. I'm serious. I've just scraped together Get in and ship it. Yeah.
404
00:37:09.900 --> 00:37:16.940
I've... My whole career has been in construction, just so you guys know. And a little over a year ago, I'm like, I'm gonna build an app. And,
405
00:37:17.500 --> 00:37:19.340
yeah, if it weren't for AI,
406
00:37:19.660 --> 00:37:40.330
it wouldn't... If we... We wouldn't we wouldn't be here where we are. So I've been... I've used a lot of different tools. I... I've got on... Like I said, I've I've I've found GitHub, found all the open source tools, downloaded them, started with that, and then realized really quick I could just modify that and build it for our own purposes and integrate it. So I'm still learning on that front, all the stuff that's available.
407
00:37:40.970 --> 00:37:42.410
It's a work in progress.
408
00:37:45.050 --> 00:37:46.730
That's that's
409
00:37:46.730 --> 00:37:47.050
great.
410
00:37:49.065 --> 00:37:57.625
What do you think... What do you... Based on based on that, what are what are missing... What are the Lego pieces that you wish kind of existed right now that would help you...
411
00:37:58.345 --> 00:38:02.025
That would be... That would help you get get more done, you think?
412
00:38:05.369 --> 00:38:06.650
I... Yeah. More
413
00:38:07.530 --> 00:38:12.490
access to open source compute for coding. So right now, I do most of my coding with codex
414
00:38:12.490 --> 00:38:13.930
just because it's so easy.
415
00:38:15.865 --> 00:38:18.105
I would love to build a plug in to an
416
00:38:18.585 --> 00:38:27.704
open source compute for that, you know, like, run GLM 5.1 or something easier, which kinda like you demonstrate that one button download
417
00:38:27.704 --> 00:38:30.750
for an agent, right, for an OpenCLaw type agent.
418
00:38:31.550 --> 00:38:38.030
For the community in general, I think it'd be really helpful if we were to develop a better access to compute for coding
419
00:38:38.430 --> 00:38:49.265
on on a distributed type network. The the same thing where where a layperson like me can come in and in a few minutes start coding using, you know, using those open weight models
420
00:38:49.505 --> 00:38:52.945
and not have to spend hours or even months
421
00:38:53.105 --> 00:38:54.625
on the education
422
00:38:54.625 --> 00:38:55.585
curve behind it.
423
00:38:56.619 --> 00:38:59.340
Can Perfect. That's that's a that is a...
424
00:38:59.580 --> 00:39:03.260
Well, no. Not an Odeo, but we do have that built in,
425
00:39:04.060 --> 00:39:09.740
and I can get you the information. But instead of using something... Yeah. Instead of using something like
426
00:39:11.185 --> 00:39:13.505
cursor, your your IDE,
427
00:39:14.545 --> 00:39:15.825
you switch to ZEV,
428
00:39:16.145 --> 00:39:21.585
and you can plug in our Morpheus API gateway Okay. Just like you would any other API,
429
00:39:21.744 --> 00:39:26.700
and you're into the Morpheus network. So there are frameworks. And if you go to node docs,
430
00:39:27.340 --> 00:39:33.660
there's is... There's documentation on that. So that was one of the first things because that was my thing is I wanna be able to, you know, get out of
431
00:39:34.060 --> 00:39:34.620
the
432
00:39:35.580 --> 00:39:42.685
the cursor products and and codecs and all that and do daily driver coding through there. And and so Zev plus
433
00:39:43.805 --> 00:39:46.685
the API gateway and Morpheus
434
00:39:46.925 --> 00:39:52.925
works a treat. And you can do mixture of models too. Right? I can do Quen for a little bit or GLM five three.
435
00:39:53.680 --> 00:40:12.075
So switch back and forth. So that's that's awesome to hear you say that, and I'd love to be able to highlight that in the future too so... If other folks need to do that. No. That's good to know. I'm I'm excited to set up on that. That's the direction I wanna go with the coding end. Mean, thankfully, on the the tooling end of Timekeeper,
436
00:40:12.075 --> 00:40:15.195
we're able to run all of that, you know, easily on the open source
437
00:40:15.515 --> 00:40:17.275
models, which has been really fun.
438
00:40:18.155 --> 00:40:22.475
But the the coding side of it, I've still been using, yeah, the big commercial
439
00:40:23.390 --> 00:40:24.510
models for.
440
00:40:25.070 --> 00:40:33.550
And just because my machine, even as big and powerful as it is, I have not been able to load any of the GLM models on it. They just need too much VRAM.
441
00:40:33.550 --> 00:40:36.750
I mean, I've got a 196 gigabytes of VRAM, but that's not enough.
442
00:40:37.375 --> 00:40:37.695
So
443
00:40:38.255 --> 00:40:43.295
One of one of the issues that I do have, and I I will say that I'm not pure into
444
00:40:43.535 --> 00:40:48.815
full open source coding as much as I'd like. I really wanna get there. One of the... And one of the issues is
445
00:40:49.135 --> 00:40:56.650
I take screenshots a lot, and I add that as context. Like, I'm sure if you do on the website, like, hey. This doesn't look right. This doesn't... So that visual
446
00:40:56.970 --> 00:40:59.370
Uh-huh. Some of the models that are out there
447
00:41:00.250 --> 00:41:03.850
in the open source may not know how to digest images.
448
00:41:04.835 --> 00:41:08.835
And so you send that same rich context, that same multimodality,
449
00:41:09.234 --> 00:41:12.595
you may not get the same response. So we're... I'm...
450
00:41:13.154 --> 00:41:25.910
That's my last kinda Rubicon before I'm all in and and, you know, kill a bunch of subscriptions, but I'm so close. But that's that's the only... That's the only... I don't wanna Yeah. I don't I don't wanna say that's the... It's the be all end all,
451
00:41:26.470 --> 00:41:32.070
but it's close. It's so much closer for for being able to have the, you know, the the the development
452
00:41:32.070 --> 00:41:37.425
and the image and the... All that stuff is... We're real close. Well, and it's an inevitability.
453
00:41:37.425 --> 00:41:50.320
I mean, we saw this with every other step of the large language models. Like, if... And and I I somewhat agree, Alan, that, like, anything strictly chat based, I've been able to move to open source. No problem. When it starts to become multimodal,
454
00:41:50.320 --> 00:41:56.400
that's when it gets a little more complicated. So for example, when I'm walking my dog, I often talk to Grok.
455
00:41:56.480 --> 00:42:02.000
Like like, physically talk to, like, through my headphones. I'm sitting there having a conversation with it, just going through whatever.
456
00:42:02.484 --> 00:42:11.045
And there isn't really a good open source alternative for that yet, but it's it's just a matter of time. And then there is, and then, you know, we can
457
00:42:11.365 --> 00:42:12.485
keep keep
458
00:42:12.805 --> 00:42:22.780
moving on it.
But, yeah, that is that is awesome feedback, though, Matthew. And I love... Listen. I love that your background is not in software development. Mine certainly is not. And our... I want...
459
00:42:23.100 --> 00:42:42.435
Well, you know, I would love to have a community also full of, like, super seasoned builder devs, but I personally really enjoy the monkey with the AK-forty seven meme and just giving the ability to build crazy stuff to people who couldn't have done it previously. But now it's like it's like a superpower. Like, go for it, You know? I love that.
460
00:42:42.755 --> 00:42:44.515
Well... And the window between
461
00:42:44.595 --> 00:42:46.035
ideation and actually
462
00:42:46.510 --> 00:42:51.310
implementing it has shrunk so small. It's Yeah. It's microscopic almost.
463
00:42:51.550 --> 00:43:04.945
And and, yeah, I don't have a coding background. And yet, I've had experienced people in this field tell me that it's some of the best software they've used for working with historical photos and documents. They're like, wow. This is really cool. You know, I've had some beta users from museums,
464
00:43:05.185 --> 00:43:08.145
even some very large family history institutions,
465
00:43:08.145 --> 00:43:16.545
you know, test it out and be extremely impressed with it. So I'm really happy with where it's going and the fact that we based it on, you know, open source technology.
466
00:43:17.430 --> 00:43:42.515
I... You know, I'm really excited about that direction, and we're hoping to actually launch it to... I I I mean, anyone could sign up now. It's still... I consider it the beta phase, but going into the first quarter of next year, of as my Christmas gift to the world, I want to start, yeah, just open this up to the whole world and say, hey. Come use this tool. Use this for your... Preserve your history and start creating an asset that is... As the world changes and data becomes more and more valuable,
467
00:43:43.315 --> 00:43:50.690
start creating your family heirloom, your family asset. It needs to be created, and that's the tool we wanna give people to use to create a secure,
468
00:43:50.849 --> 00:43:59.090
safe archive for their family for generations to come and a community or, as anyone, any group of people could use it for that same end.
469
00:43:59.810 --> 00:44:04.555
Yeah. Oh, absolutely. I think that's fantastic. That's great that you guys are doing that. You are... Matthew,
470
00:44:05.275 --> 00:44:08.395
you're you're a a testament, as Bowen said, to the...
471
00:44:08.555 --> 00:44:10.715
Any monkey with an AK 47.
472
00:44:11.035 --> 00:44:12.234
But but
473
00:44:12.700 --> 00:44:15.260
you know the problem intimately,
474
00:44:15.500 --> 00:44:22.140
and the monkey knows how to ask the question well. I think that's that's really the that's really the edge right now.
475
00:44:22.380 --> 00:44:25.724
With... If AI takes away the requirements
476
00:44:25.724 --> 00:44:27.244
for coding knowledge
477
00:44:27.325 --> 00:44:31.325
is do you actually understand the problem set that's being tackled,
478
00:44:31.644 --> 00:44:36.444
you know, at a at a first principles level? And then you know how to ask questions
479
00:44:36.444 --> 00:44:44.380
to kinda get to the other side to, like, layer on. So I think that's that's that's really it is is anybody that builds something where
480
00:44:44.700 --> 00:44:55.465
someone comes in and is like, wow. This really fits all of my needs. It's someone who spent a lot of time thinking through what what are all the problems and and how to resolve that. So that's that... That's impressive.
481
00:44:55.625 --> 00:44:58.345
Love love what you're doing here. Is there anything that you...
482
00:44:59.065 --> 00:45:03.945
Anything that you're shipping right right now that you're not allowed to talk about that you have to... That you
483
00:45:04.345 --> 00:45:05.865
can can somewhat leak here?
484
00:45:07.280 --> 00:45:13.360
So on my machine, yeah, the capacity of Timekeeper is way beyond what's running in the live
485
00:45:14.160 --> 00:45:15.440
app online.
486
00:45:16.240 --> 00:45:18.240
And what I'm building there
487
00:45:18.960 --> 00:45:23.805
is a way to take... To look at someone's life and take all of their data and create
488
00:45:24.045 --> 00:45:30.205
a graph of their life. And it is really, really cool. I don't know how many of you are familiar with, like,
489
00:45:30.605 --> 00:45:31.565
mind mapping
490
00:45:32.020 --> 00:45:33.220
software. Yes.
491
00:45:33.620 --> 00:45:41.060
I love mind mapping software. I have a lot of irons in the fire as an individual. I run multiple businesses, so I've used that for years. So
492
00:45:41.300 --> 00:45:44.180
what what I'm doing with Timekeeper is building out
493
00:45:44.500 --> 00:45:45.460
a feature
494
00:45:45.815 --> 00:45:49.255
that uses an agent to look at all your data
495
00:45:49.655 --> 00:45:51.975
and also look at everything coming in
496
00:45:52.215 --> 00:45:55.415
and build out a mind map of that person's existence.
497
00:45:56.055 --> 00:46:10.980
And without any prompting... I mean, it's trained. And so without any prompting along the way, it'll build out a branch for your child, a branch for every relationship, a branch for every business, and basically build your life model based on the data that it has. And it is it is cool.
498
00:46:11.299 --> 00:46:18.025
I'm really excited about it. It's got a ways to go, and I'm still working on it. But the end goal will be to use Timekeeper
499
00:46:18.025 --> 00:46:20.185
not only as a historical tool,
500
00:46:20.425 --> 00:46:23.545
but as an arc of repository for your living...
501
00:46:24.025 --> 00:46:27.065
Your... A history of your life, your living legacy.
502
00:46:27.385 --> 00:46:35.950
And so everything will go into it, text messages, emails. I'm basing on everything. All my photos go into it. Everything I generate on a daily basis goes into Timekeeper,
503
00:46:36.350 --> 00:46:37.630
and then the agent
504
00:46:37.790 --> 00:46:44.350
models it onto my graph. And it... It's incredible. I'm really excited about that. I didn't expect to ask that question. So
505
00:46:44.825 --> 00:46:51.224
that's where it's going kinda long term there. And I I have a ways before we release that, but that'll be the
506
00:46:51.464 --> 00:46:54.265
kinda living version of the archive
507
00:46:54.984 --> 00:47:00.580
where it just taps into everything you generate on a daily basis and turns that into your... Part of your living...
508
00:47:01.540 --> 00:47:22.135
I I call it a living... Your living history, so to so to speak. Imagine when I I think that's awesome. I can take, like, all my records from age, you know, whatever, 15 and earlier and then create an avatar of myself that I can talk to myself in the past, and that avatar will only have the information available to them that they would have had on, like, whatever date I give them.
509
00:47:22.455 --> 00:47:28.360
Be fun fun experiments to be had. I don't an avatar I think that's on my machine, yeah, for that very purpose.
510
00:47:29.560 --> 00:47:36.840
And I've got a ways to go. But, yeah, it it uses only the dataset to communicate. So anything it answers, it has to answer from the dataset.
511
00:47:38.145 --> 00:47:52.705
It's pretty... Yeah. It... That's Yeah. Like, I'd love to be like, here's a snapshot of the Internet when I was, you know, whatever, a teenager, and then this is all the information that I would have had and then, like, talk to yourself. And you can... Like, that... That's that'd be crazy. That'd be a really wild experiment.
512
00:47:54.270 --> 00:47:57.950
That's that's awesome. It's funny, Matthew, you talk about that. One of the...
513
00:47:58.670 --> 00:48:03.710
I'm I'm I'm in. I'm ready I'm ready for that one, both both the the current one and the future.
514
00:48:04.030 --> 00:48:19.745
At one of my milestone birthdays, I sat down... My wife and I sat down and kinda mapped out, you know, all the decisions along the way and kind of what you were describing. You know, how did we get here? And it was interesting to see all those decisions as one of those, you know, butterfly effect. It's like, I had chosen differently,
515
00:48:19.825 --> 00:48:24.900
would you have ended up in the same place? And so when you map those decisions and that timeline out,
516
00:48:25.460 --> 00:48:35.700
it's really interesting, not just for you, but for other people that come after you to tell that story. Tell me about grandpa. Tell me about your life. Tell me more about where were you when.
517
00:48:36.695 --> 00:48:45.655
We've we've lost some of the storytelling aspect in our culture with this, you know, fifteen second brain span Uh-huh. Attention span. Mhmm. I think that is
518
00:48:46.535 --> 00:48:50.520
absolutely wonderful. I'm so excited. So excited. Yeah.
519
00:48:50.680 --> 00:48:55.880
Well, and and I think this would be really appealing to your audience. I feel like times are changing,
520
00:48:56.440 --> 00:49:08.265
and we can either embrace them or you can get crushed by them. Maybe that's a bad metaphor. But I feel like rather than being afraid of AI, we need to embrace it and use it to empower the individual.
521
00:49:08.984 --> 00:49:17.680
Because those that have the ability to use AI with their data and on a on a private level are gonna be empowered in the future of our society.
522
00:49:18.079 --> 00:49:23.600
And those that don't learn how to do that and don't get in on that are are gonna be at a disadvantage just because
523
00:49:23.920 --> 00:49:31.895
of the the dynamics that are gonna come into play. Those who use AI will be more effective and more efficient in their day to day life, in their
524
00:49:32.135 --> 00:49:33.975
goals. And so knowing...
525
00:49:34.295 --> 00:49:47.140
Having your own timekeeper vault that helps show you show you where you've been, where you are today, where you're going will be a huge advantage. And so that... That's kinda... That's what I want to build for people is give them access to these tools
526
00:49:47.380 --> 00:49:54.340
and keep their data private. You know, that's a big part of this for me. Keep the data yours. I've been journaling since I was 11 years old.
527
00:49:54.819 --> 00:49:57.619
And, yeah, I want those journals to be freely accessible
528
00:49:58.235 --> 00:50:08.395
in my digital vault and nobody else have access to them and still be using the power of AI to interact with them. So that... That's one of the driving passions for me. This is a passion project for me
529
00:50:09.115 --> 00:50:19.360
of bringing history into the into the... Into the day in a way you can interact with it. I love your avatar idea. I've been messing with that. I think the day will come where we all have a personal avatar,
530
00:50:19.760 --> 00:50:22.880
and and we interact with our data using that.
531
00:50:23.200 --> 00:50:30.785
And then our kids will interact with it. It's gonna the... It's gonna change... The future's got a lot of exciting stuff in it. So that's my philosophy. Embrace it,
532
00:50:31.185 --> 00:50:33.585
but let's find a way to make the average
533
00:50:33.585 --> 00:50:35.745
individual or every individual...
534
00:50:35.745 --> 00:50:38.865
Forget the word average. Every individual have access to this technology
535
00:50:39.650 --> 00:50:43.810
at their fingertips and not have to go through a corporation to get it.
536
00:50:45.090 --> 00:50:45.730
Yeah.
537
00:50:46.050 --> 00:50:50.290
Couldn't agree with you. You you hit the nail on the head regarding
538
00:50:50.290 --> 00:50:51.010
the,
539
00:50:51.490 --> 00:50:55.995
you know, the changing times right now and the solution for...
540
00:50:56.795 --> 00:51:01.755
You know, if the you... If the youth of today do not have access to opportunity,
541
00:51:02.395 --> 00:51:05.595
we're in for a world of pain. And so it requires
542
00:51:05.595 --> 00:51:08.235
people to be able to build build
543
00:51:08.420 --> 00:51:22.180
a bit like... This is gonna sound a little nuts, but a bit like Prometheus bringing light down from the light light down from the heavens. Right? So how can we do that? And then your your practice of the journaling,
544
00:51:22.895 --> 00:51:30.655
if people can look at this and have tools that's, like, common frameworks for success, and then they can they can actually look at kind of what's happening
545
00:51:30.895 --> 00:51:37.775
and and get that nudging, you give the opportunity to someone that wants to improve, that wants to lean forward,
546
00:51:38.460 --> 00:51:43.340
and and and get that opportunity, the the access to do so. So, you know,
547
00:51:43.980 --> 00:51:45.020
yeah, I do...
548
00:51:45.500 --> 00:51:50.859
Inspired. Appreciate the appreciate the the work that you're doing here, Matthew. Yeah. Thanks for having me, guys.
549
00:51:51.835 --> 00:51:55.435
I I appreciate the time and look forward to, yeah, spending more time and
550
00:51:56.395 --> 00:52:05.755
diving into... Also diving into the tools that you are making available to the world. So thanks for the great work. Yeah. Well, the community appreciates it, and it is a massive,
551
00:52:05.480 --> 00:52:11.000
massive effort. I I don't know how many individual contributors we're up to on the GitHub now, but it's, like, hundreds
552
00:52:11.560 --> 00:52:17.240
It's a bunch. From from day one. Yeah. So... No. Absolutely. I think, guys, that's a that's a good place to
553
00:52:17.535 --> 00:52:29.135
to wrap it this week, I think. Matthew, stay on for a second. The the software we use for these calls, once we end, you... There'll be, like, a upload percentage, and you just have to hit a 100 before you hop off if that's okay.
554
00:52:30.030 --> 00:52:30.750
Okay.
555
00:52:30.830 --> 00:52:31.630
Otherwise,
556
00:52:31.630 --> 00:52:40.670
everyone joining us live, thank you so much. As always, if you're watching the recording, thank you as well. And we will see you same time, same place, next Thursday.
557
00:52:40.990 --> 00:52:41.950
K. Thanks, guys.