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Created: 09/26/2026 10:50:43
Duration: 4015.744
Channels: 1
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It's another great week. We've a ton to talk about. We even have a demonstration today,
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which is going to be done by our good friend, Alan.
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I'm very excited to see this because I only
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mostly know
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exactly how this works, in terms of the, yeah, the title here, which is, you know, Grock Bot being uplinked to Morpheus and what that actually means,
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for everyone listening. So that would be very cool to see. As always though, before we dive into that, let's just take a look at where we're at in terms of Morpheus, the network, and and network throughput.
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We are closing in on 55,000,000,000
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tokens processed year to date, which is incredible.
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And as always, if we take a look at
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native growth
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right now, look at that, September
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has officially become the largest throughput month
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ever for Morpheus in terms of native calls to the compute router. So,
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yeah, collapse to Yeah, it's awesome.
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And to the right, I mean, is is what we ultimately wanna see. It's what we've, you know, continued to see for months and months now, and I see no signs of that slowing down. All I see is new,
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new and great and easier ways for people to interact with with Morpheus
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and have their agents do so. I know I am, like, fully set up on my side now. I have I got the Apple ID situation figured out after last week's call. And so I am, like, texting and talking to
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my agent. I always go by color, so Verde is my my personal agent. I am talking to Verde, like, day and night and have access, you know, constantly. It's amazing.
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How are you guys doing? Do you guys have anything on the throughput this week? Anything of note, you know, from a model perspective, anything like that? What's interesting to me is to see how DeepSeek v four Flash has sort of maintained the throne even as newer versions have come out.
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Right?
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I haven't seen a huge rush to 4.1.
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Same for
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GLM
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3.5
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Flash.
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Right,
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it kinda feels like
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maybe a lot of the demand was satiated at a certain price point and at a certain performance.
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So it'll be interesting to see if they catch up or if people
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make the the switch, but it feels like the switches are getting slower.
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Right? And we might be getting to that point where, like, people don't fiddle with it enough.
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If it's working,
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why mess with it? Right? And so, you know, maybe we're not there yet, but it feels like we're close to that point where you've got your reliable workhorses. I know that's true for me, I just let them run.
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And, you know, I'll get around to trying the new model, but I don't I don't feel the same level of urgency as like, I was, oh, man. I was so waiting for GLM 5.2.
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This 5.1 was almost there, but it wasn't quite there. And then once I got there like, alright, cool. We're there. So I don't know. Alan, you got any
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hot takes?
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Not too not too much of the same.
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Same kind of feeling is you find one that's works. It's funny, you had shared
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yesterday or or the day before
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a graph that someone put out about the model releases.
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And that slow pace of model releases and then it got faster and faster and I think the I think the capability was just going going rampant and now we're kind of it feels like we're leveling off. So like DeepSeek before Flash is just
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a hole in the mail.
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So it's you you get comfortable with it, you get you understand how it responds
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and and that's good. And I'll I'll share in some of the demo is,
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you know, the models that we've picked for different agent profiles,
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they tend to gravitate towards and stick on and so then retooling
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at some point,
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it's
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So the cool thing is all of this stuff is a RIZ E tool a, just point to this, you know, new model name.
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But, yeah, you kinda like you kinda like to get get in the groove. That's the human part of this
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effort is you you feel comfortable with stability.
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Yeah. I I think that the
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all of these types of models now have
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proven that they can
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they can get to the right answer, right, through a harness. Mhmm. But I I think the new question becomes,
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one,
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how quickly can they get to the right answer? And two, how much does it
Load full transcript
cost? Right? With with a lot of testing that I've been working on,
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the
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right. And time,
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cost, and quality is is that, you know, pyramid where typically you pull one and and get the other. Right? But when you look at the agent harness,
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you can kind of collapse that pyramid a little bit, you know, from the performance standpoint because your end goal is a completed task. So now you're just trading
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time and cost holding
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performance the same. And I think that using a flash model, it it looks cheap,
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right, at first glance, but if it takes
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32
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agent loops to get to the answer, then your cost goes up significantly. That that's, you know, maybe eight x the calls that you needed from from a larger model. So I I think that there's a difference between narrative and actual
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in some of these, and I've actually seen the best performance
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using
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one of the latest Grok models,
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you know, and kind of agent harness or agent orchestration applications
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where
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it can get the right tool call faster,
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which which reduces the turns and then help you know, reducing turns whole helps both cost and latency
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in that standpoint. So maybe the model's more expensive,
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but less turns and less time has has driven the cost down. So
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I think v four or v 4.1 flash from DeepSeek is great.
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I think that we're probably
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one or two revisions of those to catch, like, that current, like or I think rock and and opus five five or five six, whatever it five five
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is right now. So
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excuse me.
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I think I'm I'm really happy that we've gotten there on the ability
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parity,
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and I'm excited to get there more on the reasoning structure
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and
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route
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quality.
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Yep. A 100%. And this goes back to what we were talking about in previous weeks. It's like the benchmark I care about now is like cost per task.
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Exactly. Cost per successful
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task. Yes. Yes. Right. I'm okay if it takes five times more loops to get there as long as it's 20 times cheaper.
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I'm still
coming out ahead. Right? To your point, unless it's, you know, really time sensitive.
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And that kinda gets into, you know, what we've been talking about with this recursive self improvement.
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Right? I'm starting to think about that much more in the agentic
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area
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and less of it as like models making models better. Like, the models are good enough. What I care about is my agent getting better at completing my tasks.
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And so I've been trying to think of, like, what is the benchmark
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that I really care about there?
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And I think I've I've settled on tasks per day. Right? How many tasks successfully completed
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per day can I get through
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my looping agents that are doing all this work? Right? I put things in the top of the funnel, or I have them go grab pull requests or issues off of GitHub.
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Right? They're putting things in, and so now I've got a dashboard, and it's like, okay, 10 approved,
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50 done, 10 waiting for review,
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you know, that whole thing.
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You know, can I get a 100 done a day? Can I get a thousand done a day? Like, what's I think that might be the new metric. I don't have a better metric than that for like getting
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stuff done. And I think we're moving generally from
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Alan, you'll remember these these days when people used to talk about the megahertz
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the speed of their processor
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and the Pentium two the Pentium three. Yep. Apple came out and they had like 10,000 songs in your pocket.
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Yes. And everybody stopped talking about gigabytes and megahertz and processing speeds, they just talked about what it could do for you. And so I think that's a good transition for us too.
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Less obsession on, you know, nerdy benchmarks around, you know, exactly, you know, how it performs on x y z coding thing. Just just tell me, oh, it can get 20 tasks for you done. For
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for my use case, it's it's can get can business get done, you know, through the use of of crock pot and some of the other stuff I'll talk about.
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Started your own business and are able to get business done. Things that were out of reach before. So it's not songs in my pockets, it's dollars in my wallet at some point because you can leverage that.
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This is what brings that. So yes, we started with all the nerdy, the
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gigahertz or the token equivalents, but now it's, you
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know, you have viable businesses that have created because of the support. I think that's outstanding.
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Well well, let me double click on that, Alan.
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What you're really saying is how many dollars per day does my agent make me?
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Yeah. Yeah. And that's a good way to think about it because every task, right, I could fill a pipeline with a million
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maybe useful, maybe useless tasks,
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but did those tasks produce
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revenue?
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Right? Either for me as income
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because it's helping with my job or because I'm running the company.
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Right? And I'm racking up more sales or whatever. But that's that's that's a really good suggestion for the metric. It's like
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my Morpheus agent made me a $100 today or a thousand dollars today. Right? And and we've seen some of that in what goes viral on social media is people are using AI to do x y z,
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and the brag is, oh, I set up this agent and it, you know,
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whacked me up $10,000.
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Everybody's like, oh, I I want that. Right? So I I think that's that's a really good point.
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Yeah. I think the only other metric would be time saved.
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Mhmm. It's like if you could somehow just quantify, like, the time that you would have spent doing x y z thing. That's much harder to quantify, obviously. Sure. But but some some version of that, which is like, it made me x amount of dollars and I didn't And like, maybe it should be looked at as time gained doing other things. So like, I,
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you know, I spent two extra hours with my kid today, or whatever it is, which is more easily quantified, I guess, than time saved. But
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still kinda tough. But yeah, I mean, we're to the point now, like, one of the biggest struggles I've had the whole time as these things have developed is knowing
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which model to use for what. Because, like, for most of my use cases And luckily,
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we're at the point now where most of my use cases,
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we can I could use any flash not any, but, like, any of the the better flash models and do 90%
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of what I need to do? And so now we're at the point where, yeah, it's it's just cost and also, to your point, David, like, what is it making me? But
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I I
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I'm glad that we eclipsed that finally because there was a huge period of time where I was like, oh,
I don't know. Like, Kimmy's got a good vibe. I'm gonna use it for this. Even though it was like I had no actual reason for thinking that other than, you know, that's the one I wanted to use on that day. Which is a really dumb reason, but I think is how most people are are experiencing
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AI.
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Well, and on the time metric, you know, instead of time saved because,
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you know, you could only get up to twenty four hours eventually of That's what you're thinking. Saving you time, you know, more sleep, more, you know, playing with the kids and stuff like that.
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It's, I think, hours of work done. That's what
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what was it? Meteor?
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Meter? You know, it's misspelled meter. They did a benchmark around, like, how many hours of human labor equivalent
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the the agent was doing. And first, it was seconds and then minutes and then hours. And I think they kinda gave it up when it got to like sixteen hours. And they're like, you can just loop them now and they could do an unbounded amount of hours worth of work. So so the metric kinda went away, but I always thought that was really compelling.
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It's like, oh, wow. We get a week's worth of work done. We got a month's worth of work done. I shipped that product,
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you know, instead of six months in,
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you know, six hours or whatever. Right? I always thought that was a that was a really cool one, but I don't I don't see them updating it anymore. So we'll see. Claude told me
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the other day that the feature request I was asking for would take, like, three hundred fifty man hours. And I was like, can you just do this right now?
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Oh, sure. Yeah. No no problem. The
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other metric I've seen the other day is before AI, I had nine unfinished projects. After AI, I've got a 134 projects.
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That's that's where I feel like I'm at is
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definitely feel like I can start them and and close them a lot, they
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I need to get on to what Bo was suggesting and yep. Make sure that they can take care of stop adding things to the pile
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and go do other things while my agents
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do do some of the work. So instead of starting more things, oh, look at this. Building at the speed of thought is
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can be dangerous.
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Yep. 100%.
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Cool. Well, then I I think there's there is something to be said there, Alan. Right? That
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it allows you to rapid prototype
too. Right? Where Oh, yeah. In the past, we would,
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you know, myself, I I would build products to completion and launch them.
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And sometimes they would suck and no one would use them. And that was a lot of time wasted. Right? Like, now
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getting to 80% to get feedback
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from users, real live users
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on something,
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you know, before you make the investment in the full industrialization
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or the full end to end feature set, I think, allows us to
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get things closer to product market fit at a much faster rate. And then once you, you know, say, does this meet the the real investment bar, then you're able to kind of finish that. So, like, a 120 open projects
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isn't a bad thing if,
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you know, a 100 of them were gonna be garbage anyway. Right? You know, it's it's
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I I think it's a I I think it's a win there. And and I and I think that that's a good tendency
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of of development.
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I I agree. I it's funny. My in my past life, my my my past employment,
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we would spend a lot of time in IT
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testing, you know, ideas for prototypes. Right? We had a whole process around taking all the ideas and whittling them down to place your bets.
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And and you wouldn't start the prototypes until you kind of knew
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reasonably what the success was. The other metric from the same company was is they would start a 100 projects and only one of them would yield. And their whole thing about taking that innovations that innovation cycle
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was you start more faster,
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the more you have potential for that next billion dollar business.
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And so I think you're right.
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It's
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I I feel I feel the pressure because I've got a 134 plates I'm trying to keep spinning, but you're right, one of them has more chance to yield. If I didn't ever start them, they may never yield. So,
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absolutely.
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The more you can innovate, the more you can just wing it and go, hey, hey,
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Claude, go try this for me. I know it may take three hundred fifty man hours, it's gonna take you about thirty seconds.
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Wing it, see what happens.
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Yeah. It looks great. Instinct, right? Like, Instinct came out with
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honestly, a a half assed idea when it started. Right? With no UI, no nothing around it,
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and said, are people going to want this? And they did.
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And Mhmm. You know, what happened now? A 100,000,000 valuation to $2.50
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to 1,000,000,000 to 2,500,000,000 to 10,000,000,000,
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rather instantly. And I would say they probably have the cash now to do it the right way if if they choose.
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Yep.
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Bring in the resource. Get
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it. Cool, Bo. Should we, jump into demos and other stuff? Yeah. Let's let's see it. Let's, so, Alan, you should be able to share from your Ready to go? Alright.
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So I'm gonna bounce around a little bit. Let me know if you can see the screen alright. Yep. Yep.
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So we talked a we talked a little bit about this on the on the preamble, and I think this is kind of what I'm gonna show is we're show you the map, point you at the door. I'm gonna actually do the magic trick, create an API key and ask the Grokbot crew.
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And in that, I'm gonna interleave because I actually wanna show a real live uplink setup
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here. So we're gonna bounce around a little bit.
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And as this as a setup here, I run a whole
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Grokbot crew.
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I originally
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I kinda missed the boat on some of the early open open harnesses like Open Claw and Hermes and
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I've I've I've of got attracted to I've always liked Grok and the the SpaceX story and all that kind of stuff. And Cursor was the daily driver, so was really excited when I saw Cursor and and XAI coming together.
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And
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Grok build was good, CLI and then the Grok Grok bot came out and like, okay, this is the hardest I can really get, you know, kind of lean into lean into that. And as I started to use it, I'm like, wow, that Cursor build really starts to grow and the on demand
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and the way they limit smell like, you know,
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I am part of this Morpheus DEAI
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community,
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I kinda ought to, you know, be here and see if I can leverage that and that's really what came up with this
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this inference, Morpheus inference skill. And so, my crew is on the left here, my chief of staff,
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CTO, all your usual roles you have in a company.
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How do I get them to use Morpheus instead of just cursor and grok all the time? And really that's by using either our public
API gateway or what we've just created which is uplink, which is really one of the focus. So, instead of just saying, hey, here's uplink, I wanted to show you how I use it
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overall.
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So first thing I'm gonna
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scoot over to is
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what should be on the
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Grokbot marketplace soon which is the Morpheus inference skill. And this is basically an MCP server that that basically does what I wrote, you know, what we wrote in Python on on Grok to do
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this.
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We really wanted a mixture of experts and we don't have that access in in Grok as it shipped. So we built a MOM or a mixture of models
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and how do we get that those inference into
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into Morpheus. So the first part is I kind of got to tell the box and the bot crew,
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hey, let's go talk to Morpheus and that really comes with this this skill that you'll be able to get off of the Morpheus or excuse me, the Grockbot marketplace.
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The next thing is the actual uplink
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software and that's the personal API gateway. We've talked a lot about the the larger, you know, community API gateway that that we've
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gosh, been running for almost
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gosh, it's over a year. You two years? Two years?
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Gosh, '25 or '24. I think it was the first iteration of that might have been I think the big launch was
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'25 and
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wow, time flies.
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So this is the so if, you know, everybody likes to get into the the the community API gateway, it's an easy start to see how Morpheus can run.
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But you might have other people that, you know, hey, I want my own personal
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node, I want my personal on ramp. And although we publish
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the proxy router and we've talked a lot about the code and a lot of the nerd stuff underneath this, it's still difficult for some people to get into. And what we're trying to do again is, as I've talked a lot, is is find the barrier and and try to wipe them out.
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David demoed the install install ever token claw
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x y z, install open claw x y z last week.
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Really easy button on how to start working within
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within Morpheus. And so this is just another variant of how how you can put these legos together.
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So this is Morpheus uplink. It's on the Morpheus repo.
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I'm
gonna just really quick
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need to get us started here a little bit on the compose YAML file. This is I'll put this on secret.
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So I'm gonna download that YAML file, which basically just a docker instruction file of how
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we're gonna build.
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And
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let me create that secret cloud.
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Go brek
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dot demo and the reason I need to do this is does it does have to reboot a couple times, so I'm gonna fill the air with some other noise.
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So on this setup and the setup instructions are in the repo, I'm not gonna go to them in detail.
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But here's that YAML file we just downloaded
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and that fills in basically,
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this is your
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composed file which has about three different containers on top of each other and I'll talk about that in a minute.
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The next are the secrets and before anyone freaks out, these are all burners. So,
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you know,
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you can screen, you can stop your screen and kind of see them, but that's fine. One of the things I did want to say is we're gonna leave this web public URL empty.
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And the reason for that is we don't get an external endpoint until the VM starts up and that's a bit of a pain in the neck. Still haven't figured out how to solve that yet. But we'll come back once this started and actually fill this in and reboot it again so we can actually get a good real end point.
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So that was it. I filled in my YAML file. I put my my secrets in
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including some other tuning.
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Kyle, some of these may look familiar to make sure we ensure that the proxy writer isn't storing context or forwarding context or something like that.
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So,
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those are all those are all kind of locked down
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and we're gonna watch that. And while that's creating, I'm gonna go back and talk through
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a little bit more of this. So, we are Crockbot crew on the left, we've got this this Morpheus skill
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that's gonna be available and then we're gonna go through this Uplink, you know, personal API gateway and get to that DEA DEI marketplace.
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And really, what is uplink?
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And like I said, uplink is kind of this triple stack of three existing containers. The first being that Morpheus Lumerin
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node. This is as shipped
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from the Morpheus environment, this is the proxy router kind of running in
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what we'll call consumer node. It's it's built as a consumer.
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The second layer is this uplink,
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which is the API engine and the GUI and again, that's that was born from the original consumer
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or the the large centralized API gateway has got a lot of the same elements, but not as much multi user
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weight to it. And then the top one, especially on a secret, is making sure that you can
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protect all of this behind an HTTPS endpoint instead of just empty and open
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the web. So that's
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I think that's really important. I think the Railways flavor also has that capability to make sure that you've got that TLS or HTTPS
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protection on your API endpoint as well as your your admin state.
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So that's really what uplink is. It's just putting the existing Legos that are out there, you know, I built the the uplink layer
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because I wanted that kind of GUI interface and ability to create API keys and monitor sessions and make sure everything's happy, doing a little test, make sure that it's testable
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and of course secure. But the base foundation is the Lumira node that we've been publishing for many many years now.
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I'm gonna take a quick peek at our secret VM, see if it's
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it's up and running and we've got a really cool name, apricot jungle fowl. I love these
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these names. So I'm gonna do real quick.
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This is really cool, Alan. I'm glad that you're walking everybody through
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how to do this. I think that kind of demo is super useful.
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Well, I'm glad. I I it's funny, I get into thank you.
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I get into I do it so often that I forget other people sometimes a nice walk through helps and a live demo is always fun because you're kind of expecting that
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the poor guy giving the demo getting a false flat on his face or something. It's the demo gods.
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So
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what I've done is in my I've got, you know, my one password off to the side here that I store my, you know, these kind of a list of secrets in here and what I did is I've now changed this app, you know, this web public URL to that delivered
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jungle name
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so that when we restart it comes up and it will will answer on that on that endpoint.
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So that's updating and come back here and talk a little bit little about how I run GrockBot, how I run the company on GrockBot.
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I wouldn't say it's not an RSI just yet.
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Although, did ask it, David, after our conversation. I'm like, hey, can we use Laura
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or some other layering in Uplink to help that RSI? And there's a there's a potential that
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that that what we built here, we can start adding on an RSI like layer, which I'm I'm kind of digging.
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Like,
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RSI, what are talking about? Recursive
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self improvement. Got it. Okay. Thank you. That was that. Hey. Because RSI true RSI is actually at the model level where it's actually, let's say, a nightly basis changing the weights within the model.
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And since we don't have access to some of these, can you put a layer? And I think Kyle introduced me this a couple months ago as the LoRa
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and I haven't looked into it too much, but LoRa can actually skin that as a virtual layer to to change those weights of an existing model. So I think there really could be a way to to get some RSI into
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this harness. So you you spend a lot of time with you. Bo, you mentioned naming your naming your agent.
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We anthropomorphize these quite a bit and and I've certainly done that as well as named my agents because they're easy to interact with. So
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Seraph is my chief of staff, Trinity is my developer,
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you know, you kind of name because it's easier it's that human way to interact.
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So those are my titled crew. We have a mixture of models that I mentioned, so instead of just Grok out there,
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I can use a bunch of different and I'll show you that in a second.
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I have a sovereign door into the Morpheus layer, so it's my uplink node, not somebody else's, not the shared gateway. And it's also not difficult, it's not me trying to stand up a proxy router for every agent that I want, which is a real pain in the neck.
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We have a gated ship process, you know, design or my Sizzo takes make sure I don't do anything silly,
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we build it, we gate it again and then I hold the final key to deliver
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and then we learn from those corrections either daily or weekly, we've got a we've got a learning cadence that gets uploaded
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and that nightly cadence and backup of
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the soul and all of the stuff we've learned so that it can rehydrate if we
lose that Grockbot computer.
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And so this is what I'll get to is
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we all know that system prompts by agent or per sub agent can be really powerful. Hey, your your role is chief of staff, your role is CFO,
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here's what that means, you can design that. But at the end of the day, even though I love xAI and Grock and Grockbot and all that, it's still the same model behind it. You get kind of a single view of the world
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and I would rather have something like this,
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where I've got that mixture of models and then say, for for random discussion, it's funny there was no pre
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preconditioning
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but yeah, DeepSeek v four flash is my go to for my cause.
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It's fast, it's cheap, it's smart, it's smart enough.
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So
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my my my general chat or my development on a, you know, my developer.
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But we've got that mix especially in the CTO and Sizzo role. I wanna make sure that, you know, DeepSeek, GLM and and Quinn
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are all taking a look at some of the code instead of just being very
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yes, Croc the same 10 questions.
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So with that, I think that's my burn enough time and go back here to my my secret VM, it's up and running
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and if everything has gone well, I click this button, we get a morph we get an uplink prompt and we do.
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Hey.
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It's worked out.
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So
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I love the the style of the landing page, it's great.
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Excellent.
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I am a huge
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huge
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Matrix fan so
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I get it.
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I'm gonna see if this will work better in light mode on the display. So
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this is the API gateway, this is the human side of the GUI.
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The best thing here is this API endpoint, this is that base URL which is HTTPS protected
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and then you start off with two API keys. You start off with the master API key, which allows your admin to kind of get in and work stuff and a prompt
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or you can create your own. So I'm going to create my own Grokbot
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key
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because these are ephemeral, they do not survive a full reboot, they'll fight they'll survive a restart
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but you do you can import and export keys if you need to to save them.
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You know, in case you lose private keys that may or may not have happened recently.
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And one of the first things I wanna do is
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test and just make sure everything's wired up correctly. So the nice thing is we got this little probe
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and we'll use Gemma 31 b web.
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Let me see.
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What is Morpheus?
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Aishttps
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or .org.
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Build me a fortune 500 company. Make no mistakes. Go.
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Make make money tomorrow.
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So this last in my test, it took me about twelve seconds. We'll see how how well things are working today. Hey, there we go. That's pretty good.
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Morpheus AIS is an AI driven platform designed to automate complex business workflows in the great part of AI agents.
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I think it's pretty good.
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So this tells me that I'm wired up and that I can reach the Morpheus network and I can query the models
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and I go over my sessions and usage and I can kind of see, hey, what was my Morpheus stake?
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I could close that session if I wanted to reclaim whatever's unused
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and I can kind of, you know, watch things as they as they go forward. So now comes the final part of the demo. We've kinda gotten to the to the end and I wanna I'll share my
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Crockbot crew
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with you,
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Invite them to the chat.
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And you should be able to see them.
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Nice.
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Hey there. So, Seraph.
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Let's do the demo.
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Sorry. I pre warned her it was coming, so
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see how
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see how well
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she would yell at me for for including
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the API key, but it's they're all burnable, so it's okay.
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I like how she gave you like a little input box to my
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That's been that's been new and it did not work so well on the
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in the demo in the in the pre in in my pre work early today, is why I'm kinda forcing it. She'll she'll not be happy with me pasting it in directly, but
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I thought that was interesting as they now having
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a masked fields.
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I
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do have one of the first integrations I did was one password.
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So
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she's got access to a specific one password vault, so I can move things in there whether it's a wallet or or any other kind of credential and that's worked very well.
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So I strongly suggest with any of these harnesses is make sure your secrets management are the kind of upfront and first.
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The other thing that I like about this and I think is gonna be ideal, we talked about all the nerd knobs and which model do you choose.
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At some point I asked it, I said, hey, listen to all the models and we know all the roles. What would you recommend based on research on the web and I let it do the research on,
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hey, on GLM five two or deep seek or something like that. So, it's less and less that I've got to know what models are good at is I can now ask
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I can ask them,
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which has been very powerful. I do same thing, Alan, for
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I have my agent create a newspaper for me every day that's just specific on all the stuff I wanna know about. And I and I asked it, like, which model should be doing the research? Which should be actually creating the, like, the document itself and designing it Mhmm. That, and it did parse it out for me. So, yeah, that did work pretty well when I did that too. Yeah. It's it's getting better because, you know, you're talking about
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we know it pretty well because we're in it, but, you know, the the normies like, what's Gemma? What does what's it good for? What's DeepSeek? What's it good for?
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That's, you know, everyone knows that, oh, go to cursor and it does does magic things and, you know, that's okay.
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So,
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00:33:54.804 --> 00:34:00.565
I think you have the models all running on one hour sessions. No, they're not one hour sessions, they're five minute five minute sessions
395
00:34:01.924 --> 00:34:03.445
that they can reuse.
396
00:34:04.404 --> 00:34:08.325
And so here's the result, you can see my Grock Pot Grock Pot prompt,
397
00:34:08.810 --> 00:34:12.170
single session, 12 prompts, and 27 completions.
398
00:34:12.490 --> 00:34:15.930
Wait. They can make it as long as it's within those five minutes?
399
00:34:16.490 --> 00:34:24.045
Within those five minutes. So you remember your stake. So if I come back here to status sorry, I was kind of looking at the comments on on YouTube there.
400
00:34:25.085 --> 00:34:30.605
I've got nine more active in sessions, so those two sessions have currently locked it and if I let them run out,
401
00:34:31.405 --> 00:34:32.765
they will lock until tomorrow.
402
00:34:33.890 --> 00:34:37.810
But I'll come back here and say close all and recover unused stake.
403
00:34:43.010 --> 00:34:44.050
And my
404
00:34:44.370 --> 00:34:46.210
liquid more comes back to nine
405
00:34:46.530 --> 00:34:47.810
make sure to refresh this.
406
00:34:50.025 --> 00:34:52.345
May take a little while for the eth node to catch up,
407
00:34:52.905 --> 00:34:56.025
but this should come back I and I it picked it up already.
408
00:34:56.184 --> 00:34:59.865
Did it? Yeah. Yep. Yeah. There it is. There it is. Yeah.
409
00:35:00.905 --> 00:35:01.704
That's
410
00:35:02.529 --> 00:35:07.410
that was it. So we were able to show how we're we're able to force through that Morpheus inference,
411
00:35:09.250 --> 00:35:18.635
kinda get, you know, here's the Grokbot crew adding that Morpheus inference skill, is coming, but I'm using the the prototype is actually on my Grockbot machine right now,
412
00:35:19.435 --> 00:35:22.075
through my uplink personal API gateway
413
00:35:22.235 --> 00:35:24.795
into Morpheus to start leveraging
414
00:35:25.035 --> 00:35:26.715
that mixture of models
415
00:35:26.795 --> 00:35:27.915
from a commercial,
416
00:35:28.470 --> 00:35:34.870
you know, I still have Grock as that backstop. So, Sarah, if I, you know, I asked her to use Grock quite a bit because I want some of the horsepower
417
00:35:35.670 --> 00:35:42.869
and as part of that mixture models, but then I can also leverage the Morpheus network and take my my more and leverage that.
418
00:35:44.265 --> 00:35:46.744
The last thing I'll say on that, the nice thing is is
419
00:35:47.224 --> 00:35:48.105
cursor
420
00:35:48.585 --> 00:35:50.425
meters on a weekly basis
421
00:35:50.904 --> 00:35:54.105
and so I was running at about a 100%.
422
00:35:54.424 --> 00:35:58.105
I was over my limit at about 9AM this morning and luckily it reset.
423
00:35:58.910 --> 00:36:01.070
But Morpheus recycles every day
424
00:36:01.550 --> 00:36:05.150
and so on my daily driver, I've got about 200 more
425
00:36:05.950 --> 00:36:06.830
that is
426
00:36:08.030 --> 00:36:13.230
haul in the mail and as long as it resets every day, I've got enough that I can use that perpetual inference
427
00:36:13.515 --> 00:36:14.955
with those models
428
00:36:15.275 --> 00:36:15.994
and
429
00:36:16.154 --> 00:36:19.195
a small cursor subscription and I'm running a business.
430
00:36:20.315 --> 00:36:20.955
So,
431
00:36:22.795 --> 00:36:24.635
that's pretty cool to me.
432
00:36:25.434 --> 00:36:26.154
That's awesome.
433
00:36:26.710 --> 00:36:33.910
No. I love, the dashboard, especially there at the end where you showed off how much more is staked, how much more is claimable,
434
00:36:34.310 --> 00:36:52.185
all of that. Because my agent has been staking for a long time, but it's constantly getting sort of confused about, you know, okay. Where's the ledger? I need to reconcile on Shane. Where do I go find the information for how much is in my wallet? Oh, and I don't know. There's a bunch missing. Oh, it's in a locked session.
435
00:36:52.505 --> 00:37:01.750
I need to go unlock it. You know? Having a smooth easy way that doesn't require months of of tuning your agent or building your own dashboard,
436
00:37:02.069 --> 00:37:04.230
this is this is a huge upgrade.
437
00:37:05.109 --> 00:37:05.750
The
438
00:37:06.069 --> 00:37:07.829
the other place you can find that,
439
00:37:08.405 --> 00:37:11.525
David, is is here under tech.more.org
440
00:37:11.525 --> 00:37:12.485
under session.
441
00:37:12.565 --> 00:37:13.125
Mhmm.
442
00:37:13.925 --> 00:37:15.605
Down in here, let me
443
00:37:16.724 --> 00:37:18.245
grab my demo wallet.
444
00:37:18.965 --> 00:37:25.100
I used it's funny. I built this and I use it a ton for exactly that. I was like, do I am I missing something here?
445
00:37:25.420 --> 00:37:29.820
We can always go and this will do the same thing and give you those kind of three columns. What's liquid,
446
00:37:30.220 --> 00:37:35.100
what's locked in the current active, or what's day locked and ready to be reclaimed tomorrow.
447
00:37:36.075 --> 00:37:39.835
Nice. That's great. I hadn't played around with that function of the website.
448
00:37:40.395 --> 00:37:41.115
Yep.
449
00:37:41.275 --> 00:37:45.035
So nineteen in the wallet, ten is day locked until midnight
450
00:37:45.035 --> 00:37:45.995
UTC,
451
00:37:46.474 --> 00:37:47.915
so at 8PM East
452
00:37:48.155 --> 00:37:51.195
and there's nothing active in in the contract right now.
453
00:37:52.440 --> 00:37:54.200
Got it. Very cool.
454
00:37:55.000 --> 00:37:58.200
This is awesome. So Yes. It's already
455
00:37:58.520 --> 00:38:01.400
open sourced in the Morpheus repos.
456
00:38:01.640 --> 00:38:05.000
Yep. You for donating that to the community. Much appreciated.
457
00:38:06.395 --> 00:38:12.075
Any other notes for anybody that wants to take it, fork it, improve it, any of that?
458
00:38:13.435 --> 00:38:14.315
Go nuts.
459
00:38:15.035 --> 00:38:15.994
The Morpheus
460
00:38:15.994 --> 00:38:16.955
Inference
461
00:38:17.035 --> 00:38:17.835
skill,
462
00:38:18.635 --> 00:38:20.474
I submitted to the Grokbot
463
00:38:20.760 --> 00:38:21.720
marketplace
464
00:38:21.720 --> 00:38:22.920
last night
465
00:38:23.320 --> 00:38:33.240
and I have not seen any response on that. I don't know what their criteria or their qualifications. I did try to do a terms of service check to say, hey. Can are you allowed to use or not use anybody's else's inference?
466
00:38:33.240 --> 00:38:36.120
And there's no restrictions, so I don't think there'll be any blockers there.
467
00:38:37.224 --> 00:38:39.785
But if there is, what I'll do is I'll post the
468
00:38:40.105 --> 00:38:44.905
the Python and the structure. I'll I'll have I'll have Sarah export that package
469
00:38:45.305 --> 00:38:50.025
because that's what I had him build. I said, hey, do this. And we came up with the Morpheus bridge
470
00:38:50.289 --> 00:38:55.570
is what they what what she originally called it and I said, let's make it an MCP that we can post on the marketplace.
471
00:38:56.369 --> 00:38:59.410
I know AWS posts their Bedrock inference there,
472
00:39:00.289 --> 00:39:06.045
other things, so I don't think they're gonna have an issue with Grok calling out to other inference.
473
00:39:06.525 --> 00:39:07.165
So
474
00:39:07.885 --> 00:39:08.525
but
475
00:39:09.165 --> 00:39:11.325
no no other no other restrictions there.
476
00:39:11.725 --> 00:39:14.765
Awesome. That's great, Alan. Yeah. No. I love to see
477
00:39:15.005 --> 00:39:20.840
basically the Morpheus community hooking in to all the different harnesses and platforms.
478
00:39:20.920 --> 00:39:23.640
Right? So I spent a lot of time hooking it up into
479
00:39:23.640 --> 00:39:24.680
OpenClaw.
480
00:39:24.920 --> 00:39:27.720
You know? You're bringing it to Grok.
481
00:39:27.720 --> 00:39:35.515
I'm sure somebody else is working on on Hermes and and the other harnesses. Like, that's that's huge. Right? Because now you can land on Morpheus
482
00:39:35.515 --> 00:39:39.435
and be like, oh, here's my agent. Here's my harness. Here's how I connect.
483
00:39:39.835 --> 00:39:48.040
One click kind of stuff. I'd love to All all roads lead to all roads lead to Morpheus. All roads lead to Morpheus. But I'd love to see that, like, one click
484
00:39:49.000 --> 00:39:50.280
pain of
485
00:39:50.520 --> 00:39:56.600
of, like, oh, I land on this page and I can just pick my agent harness, and it dumps me into
486
00:39:57.000 --> 00:40:06.234
the the guide or the simple setup for my harness to connect to Morpheus. So maybe useful as a as a page on tech.morn.org
487
00:40:06.234 --> 00:40:10.395
is, like, just to show off those different integrations so people know where to find them.
488
00:40:11.515 --> 00:40:17.480
Yeah. A live a library. And I think all of the sites that I've seen so far, at least the ones I've demoed today, by
489
00:40:17.800 --> 00:40:20.280
default, I'm making sure, are you robot?
490
00:40:20.360 --> 00:40:23.160
Are you bot sensitive? Are are you bot compliant?
491
00:40:23.640 --> 00:40:27.885
So you should be able to point your agent now to say, hey, go look at, you know,
492
00:40:28.525 --> 00:40:36.925
Morpheus AIS, Morpheus dash uplink, tell me what it's all about and your agent should be able to tell you probably better than I've demoed, I hope.
493
00:40:37.725 --> 00:40:38.445
Awesome.
494
00:40:38.845 --> 00:40:46.200
That's great, Alan. Cool. Very good. The fact that that works is a live demo, and you could just show it in twenty minutes nowadays.
495
00:40:46.200 --> 00:40:46.840
I
496
00:40:47.000 --> 00:40:47.880
mean, what
497
00:40:48.440 --> 00:40:57.525
are we doing? Like, we're come we've come so far. We really gods have smiled upon upon us. Yes. It's the Alan level of preparation,
498
00:40:57.685 --> 00:41:01.685
slides and tested it beforehand and, you know, the whole thing.
499
00:41:02.085 --> 00:41:04.565
So very cool. Yeah. It's amazing.
500
00:41:05.045
--> 00:41:14.190
Well, thank you, Alan, for doing that. I mean, yeah, everyone listening, I mean, obviously, back, rewatch it, set it up for yourself, explore the different harnesses.
501
00:41:15.230 --> 00:41:18.670
I've become partial to Hermes, but I have not tried Grokbot,
502
00:41:18.750 --> 00:41:20.830
so there's a very good chance it is better,
503
00:41:21.495 --> 00:41:39.960
which is what happened with me. And, well, Open Claw, a ton of people are still finding success with too. So honestly, just just check one of them out, people. Just just try one. You know, this is actually something that Taco and I say every week on Manifest Morpheus Monday is go try something this week. Just, like, try something new. There's so much stuff out there.
504
00:41:40.520 --> 00:41:44.680
And all of it pretty much talks to Morpheus now, or if it doesn't already,
505
00:41:44.839 --> 00:41:46.599
someone's done it, you know. This is Yeah. A perfect
506
00:41:48.200 --> 00:41:48.760
Yeah.
507
00:41:49.000 --> 00:41:49.640
Exactly right.
508
00:41:50.575 --> 00:41:53.055
And and let's just kind of
509
00:41:53.375 --> 00:41:55.295
end this going back to
510
00:41:56.015 --> 00:41:57.615
why what
511
00:41:57.615 --> 00:41:58.415
Alan
512
00:41:58.415 --> 00:42:03.215
should, you know, just demo this is so important and on the uplink side. Right? It's
513
00:42:03.375 --> 00:42:04.655
going back to the original,
514
00:42:05.960 --> 00:42:09.800
you know, when Morpheus was was launched, everyone said,
515
00:42:10.119 --> 00:42:11.720
this is absolutely
516
00:42:11.799 --> 00:42:15.720
amazing. Right? There is a true need in the market for
517
00:42:17.240 --> 00:42:18.359
access to
518
00:42:18.359 --> 00:42:19.240
permissionless
519
00:42:19.240 --> 00:42:20.359
decentralized
520
00:42:20.359 --> 00:42:20.920
inference.
521
00:42:21.295 --> 00:42:21.935
And,
522
00:42:23.295 --> 00:42:26.495
you know, we at Morpheus brought that to the world.
523
00:42:27.135 --> 00:42:33.375
Maybe we didn't bring it as easy as it could be for for everyone in the beginning, and and some people
524
00:42:34.415 --> 00:42:36.735
hit the wall a little bit of
525
00:42:38.200 --> 00:42:40.360
it's a little harder than I anticipated
526
00:42:40.360 --> 00:42:50.840
to get access to this amazing system and and kind of you've seen us, you've heard us through the last and it's crazy. It's a year on on creating this API gateway.
527
00:42:51.080 --> 00:42:53.425
And, you know, I think that
528
00:42:53.905 --> 00:42:55.105
good development,
529
00:42:55.105 --> 00:43:04.865
you know, kind of takes a couple routes. Right? Maybe you have to do something a little bit of a centralized way to test it and prove it, and then fight towards full decentralization.
530
00:43:04.865 --> 00:43:07.425
So I think the API gateway was
531
00:43:08.330 --> 00:43:15.770
how do we meet users where they are? They want an API key to be able to plug into their systems, and and we did that.
532
00:43:16.650 --> 00:43:18.730
How do you make it decentralized?
533
00:43:18.730 --> 00:43:19.930
And how do you own,
534
00:43:20.555 --> 00:43:25.035
you know, your intelligence and own that yourself. And that's, you know, the product uplink,
535
00:43:25.035 --> 00:43:29.675
and that's, you know, how you can kind of manage that full stack
536
00:43:29.755 --> 00:43:32.795
while, you know, of privacy and of decentralization
537
00:43:32.795 --> 00:43:33.915
and permissionless,
538
00:43:34.235 --> 00:43:37.070
and how do you do that in a way that's, you know,
539
00:43:37.390 --> 00:43:43.710
just a couple clicks to get there. So I think we've really come a long way, and I think that, you know,
540
00:43:44.990 --> 00:43:47.310
you know, the the proof is is
541
00:43:47.630 --> 00:44:02.745
in the work. Right? And the proof is you've seen the trajectory that, you know, the the contributors that Morpheus have taken, and and you'll see the trajectory that they continue to. How do we get to to the the deepest levels of decentralization
542
00:44:02.745 --> 00:44:07.065
while also kind of meeting people where they are and providing them the experience that they expect.
543
00:44:08.140 --> 00:44:09.740
Yep. Yeah. Well said.
544
00:44:10.940 --> 00:44:11.980
Totally agreed.
545
00:44:12.620 --> 00:44:13.420
That
546
00:44:13.660 --> 00:44:16.540
does bring us to, you know, some of the topics
547
00:44:16.620 --> 00:44:18.620
that we have this week, which
548
00:44:19.980 --> 00:44:23.955
the first two that I had jotted down were the fact that,
549
00:44:25.075 --> 00:44:30.355
Claude released Opus five five and kinda did the leapfrog thing again for the Frontier centralized
550
00:44:30.355 --> 00:44:32.595
models. But the bigger story here
551
00:44:32.994 --> 00:44:33.635
is
552
00:44:34.675 --> 00:44:36.275
how quickly
553
00:44:35.990 --> 00:44:42.869
the time between front Frontier models is happening. Like, it's dropped massively. I I think the number I saw was eighteen
554
00:44:42.869 --> 00:44:48.070
days now is, like, the expected period between one Frontier model to the next.
555
00:44:48.869 --> 00:44:52.485
Yep. Down from, like, seventy days between
556
00:44:52.725 --> 00:44:57.925
releases. Now it's less than three weeks, which is which is just wild. Right?
557
00:44:58.325 --> 00:45:01.285
And and I think it's gonna continue to accelerate.
558
00:45:01.445 --> 00:45:02.645
You know, Elon
559
00:45:03.110 --> 00:45:08.070
set the ambitious objective of releasing a new version of Grok every week or two.
560
00:45:08.790 --> 00:45:17.110
And I don't think they've been too far off that since Grok 4.5, 4.6. You just saw the release of Grok 4.7
561
00:45:17.145 --> 00:45:19.705
a few days ago. So they're definitely keeping it up,
562
00:45:20.185 --> 00:45:21.385
and his claim is
563
00:45:21.625 --> 00:45:35.240
by the time they get to five point o, it'll beat any current frontier model. So the other frontier models aren't staying still,
so we'll see if that that happens to be the case. But I think it's a massive, like, 6,000,000,000,000 parameter
564
00:45:35.320 --> 00:45:51.415
model when they get to to five point o. So, yeah, I think that pace is just gonna keep accelerating because think about it, as every one of those releases come out, because people are doing distillation and learning from other best practices that the model are using, it improves the other models. Yeah. But
565
00:45:52.535 --> 00:45:54.055
I wanna push back
566
00:45:54.454 --> 00:45:55.575
on a comment,
567
00:45:55.974 --> 00:45:58.135
Alan, I think it was you you said earlier,
568
00:45:58.535 --> 00:45:59.015
that
569
00:45:59.790 --> 00:46:00.910
I agree
570
00:46:01.310 --> 00:46:07.390
that historically people have thought of RSI, of recursive self improvement, as the model's improving themselves,
571
00:46:08.110 --> 00:46:12.270
but I think what people are gonna actually care about is RSI for agents.
572
00:46:12.755 --> 00:46:14.755
Okay. Oh. It did get
573
00:46:14.995 --> 00:46:20.755
better today. And I don't care whether the models changed. If all it had to do was learn a new memory,
574
00:46:20.995 --> 00:46:25.075
pick up a new skill, you know, record one of my preferences,
575
00:46:25.395 --> 00:46:37.500
you know, get faster between when it runs as loops. There's a lot of ways my agent could learn and get better every day, and that goes back to what do I really care about? How many tasks it got done?
576
00:46:37.740 --> 00:46:42.505
How much money it made me? How much work it did? Right? And whether it benchmarks
577
00:46:42.505 --> 00:46:44.985
at a 180 or a 181
578
00:46:44.985 --> 00:46:47.865
IQ, like, the model quality,
579
00:46:48.105 --> 00:46:50.265
to me, like, that's been their game.
580
00:46:50.505 --> 00:46:55.225
Right? They're all focused on RSI in the model context, but I actually think what matters to the individual
581
00:46:55.910 --> 00:46:57.190
is RSI
582
00:46:57.350 --> 00:47:01.590
for the agent. And I I I wanna say, I'm hearing it everywhere.
583
00:47:01.750 --> 00:47:04.150
I think this is the new buzz.
584
00:47:04.390 --> 00:47:08.390
Right? It is it is not AGI anymore. I don't hear AGI.
585
00:47:08.390 --> 00:47:12.785
Everybody basically said we're at AGI, like, you know, tell me tell me we're not.
586
00:47:13.345 --> 00:47:16.625
And so I don't think AGI is the benchmark people are going towards.
587
00:47:16.944 --> 00:47:20.945
The the new hype and and especially the fear mongers and the doomer crowd,
588
00:47:21.184 --> 00:47:22.224
like RSI,
589
00:47:22.224 --> 00:47:28.200
that's the new thing to be afraid of. Right? It used to be AGI. We made it to AGI and everything's fine. But RSI,
590
00:47:28.200 --> 00:47:30.680
that's what you really have to be
591
00:47:30.840 --> 00:47:36.040
afraid of, which is a good signal for builders that that's what you need to build next. And so,
592
00:47:36.360 --> 00:47:39.080
anyway, I just wanted to reframe it. I think we need to catch
593
00:47:40.305 --> 00:47:41.505
RSI for agents
594
00:47:41.585 --> 00:47:43.665
as the true definition
595
00:47:43.665 --> 00:47:46.065
of RSI that matters to the average person.
596
00:47:46.545 --> 00:47:50.465
I think that's a I think it's a great point and thank you for for for the pushback.
597
00:47:50.704 --> 00:47:54.464
I did that's where I started the conversation with with Sarah was a little bit
598
00:47:54.970 --> 00:48:03.290
of because we have these these daily routines or certain prompts that say, hey, remember this for the group or remember this for you and then the nightly dream cycles
599
00:48:03.530 --> 00:48:15.405
and I I kind of tease it like, this RSI? She's like, no, not really. Here's the real real definition. I'm like, but to your point, there was a part of that conversation that was like, yeah, we could get better at when there's a thing
600
00:48:16.045 --> 00:48:20.845
that everybody should remember. Let's stick that in in more permanent memory and make sure it's backed up.
601
00:48:21.405 --> 00:48:34.150
And I I made I've made the the parallel before. It's like raising kids. We've we've had toddlers. We gotta tell them everything. No. No. No. Don't do that. Don't do that. Don't do that. Here's how to tie your shoe. Here's how to properly lift the spoon to your face and feed yourself.
602
00:48:34.550 --> 00:48:35.430
And eventually,
603
00:48:35.830 --> 00:48:36.870
they get this RSI
604
00:48:37.350 --> 00:48:44.365
kids get their own RSI, they experiment, they go try something and they learn from their mistakes, they fall down, they get corrected,
605
00:48:44.765 --> 00:48:48.685
you know, that kind of thing. And so I think maybe are we entering the toddler,
606
00:48:49.005 --> 00:48:49.885
the
607
00:48:49.885 --> 00:48:52.205
toddler phase of AGI
608
00:48:52.430 --> 00:48:55.390
and can RSI in the frame that you've proposed
609
00:48:55.790 --> 00:48:56.350
it,
610
00:48:56.990 --> 00:48:59.150
can that get better? It's
611
00:48:59.150 --> 00:49:05.230
not about whether you have the intelligence in the back room, but can you ask it, can the agent ask it better questions
612
00:49:05.470 --> 00:49:19.695
with a better corpus of knowledge to go after it. So yes, this is just like, you know, you've now got a five year old in the room, not a two year old in the room. Well, I've deployed an RSI agent on top of all of my looping infrastructure to basically
613
00:49:20.799 --> 00:49:26.480
look every day at the different things that I'm doing and make specific
614
00:49:26.480 --> 00:49:27.440
proposals,
615
00:49:27.599 --> 00:49:32.960
put them into the loop. Mhmm. And then the looping agents work on their own improvements.
616
00:49:33.279 --> 00:49:37.535
Right? And I get a report every day of all of the improvements.
617
00:49:37.535 --> 00:49:39.535
Right? I have an architecture
618
00:49:39.694 --> 00:49:53.480
agent that's looking at, like, is this within scope?
Does it fit my values, my goals, you know, my tasks, and things like that? And then it escalates to me what it thinks might be out of scope or it needs more decisions on. And I've and I've given it
619
00:49:53.720 --> 00:49:55.480
the overarching goal
620
00:49:55.640 --> 00:50:01.000
is for it to learn a little bit more every day, and I get less and less escalated items
621
00:50:01.240 --> 00:50:05.400
because it knows better and better what I'm trying to achieve
622
00:50:05.664 --> 00:50:11.425
and how I want to achieve it. So so far, so good. Right? Like, I I look at my dashboard today,
623
00:50:11.744 --> 00:50:16.065
and if I, I take that as sort of my my gauge of my numbers,
624
00:50:16.224 --> 00:50:19.744
you know, I've got more than a 100 items now
625
00:50:20.220 --> 00:50:22.940
in the the looping infrastructure.
626
00:50:23.340 --> 00:50:29.580
Right? And it would be really interesting. Yeah. I don't know how we capture some of these these broader metrics,
627
00:50:29.740 --> 00:50:33.340
but I've got 16 things in the backlog, a 157
628
00:50:33.500 --> 00:50:35.260
ready, have been fully developed,
629
00:50:36.105 --> 00:50:58.760
31 have been shipped. 16 are are parked waiting for a decision. And it gives me this beautiful rundown of, oh, I spent, you know, one hour building this new cron job, and I spent, you know, half an hour improving either this new RSI task. And I can just look through and see everything that's going on with my agents. So, yeah, I I think that's where it gets really interesting
630
00:50:59.240 --> 00:51:00.040
because
631
00:51:00.200 --> 00:51:03.320
if you start that I r that RSI
632
00:51:03.320 --> 00:51:04.920
loop fairly early,
633
00:51:05.240 --> 00:51:06.120
it's compounding.
634
00:51:06.744 --> 00:51:07.785
Right?
635
00:51:07.865 --> 00:51:11.865
I I'm able to get more done, which makes it easier to get more done.
636
00:51:12.265 --> 00:51:12.905
Right?
637
00:51:13.065 --> 00:51:19.625
That's that's where I think it's gonna get really wild. So, yeah, it's I'd recommend it highly to
638
00:51:19.785 --> 00:51:23.080
to anybody who hasn't tried it yet. If you've got the infrastructure
639
00:51:23.080 --> 00:51:24.280
already with an agent
640
00:51:24.600 --> 00:51:27.480
and it has a brain, so you're you're storing the memories
641
00:51:27.640 --> 00:51:29.400
and you're you're running loops,
642
00:51:29.480 --> 00:51:30.840
they're already doing this work,
643
00:51:31.080 --> 00:51:34.280
set something on top of that that can that can improve it. So.
644
00:51:35.025 --> 00:51:39.665
Alright. I might try to tackle that next, David, because I I do not have it doing that currently.
645
00:51:39.905 --> 00:51:48.865
Yeah. If you don't have an RSI agent, what are you what are you even doing? What what are we doing? I'm still doing that. I I was thinking as as Alan was showing off his
646
00:51:49.720 --> 00:51:51.960
Grockbot company and and his, like,
647
00:51:52.280 --> 00:51:57.000
assignment scheme for the agents, I was thinking through the next couple names for mine. And I have
648
00:51:57.400 --> 00:51:59.560
Sam Botman Fried for
649
00:51:59.560 --> 00:52:00.280
my
650
00:52:00.440 --> 00:52:02.120
chief compliance officer,
651
00:52:02.280 --> 00:52:04.200
and then I have Elizabeth
652
00:52:04.585 --> 00:52:06.185
Elizabeth Holmes
653
00:52:06.185 --> 00:52:07.865
for my chief of product.
654
00:52:08.105 --> 00:52:11.945
Wow. And, man, I was I was really brainstorming over here.
655
00:52:12.345 --> 00:52:14.665
That's the dream team you're talking about.
656
00:52:15.705 --> 00:52:22.060
Yeah. You know, it'll be it'll be good. No, that's that is awesome though. Yeah. I that totally makes sense in in why it would be
657
00:52:22.540 --> 00:52:23.340
compounded
658
00:52:23.340 --> 00:52:24.140
growth.
659
00:52:24.700 --> 00:52:28.300
The earlier you start it, the better it is. And I just
660
00:52:28.620 --> 00:52:30.380
keep thinking too about
661
00:52:31.020 --> 00:52:32.060
how
662
00:52:33.165 --> 00:52:44.365
what's so great about once you do have that personal agent set up and you're retaining all that data and information, like if it's on a dedicated device or if you're doing like IPFS or something like that,
663
00:52:45.980 --> 00:52:48.780
it'll just go with you forever now.
664
00:52:49.020 --> 00:52:51.740
Like like, as these things evolve, like,
665
00:52:52.059 --> 00:53:05.005
Verde for me will just evolve. Like like, I'll I'll I'll remember, it's like the analogy with your kid, Alan. I'll remember when Verde was just a little, you know, cron job basically in my in my Mac mini.
666
00:53:05.245 --> 00:53:07.165
And then it'll be standing
667
00:53:07.165 --> 00:53:23.390
in my house as the brain of my home bot or whatever in the future, and I'll be like, you have no idea. You used to just be this small little cron job server, basically, and like It used to be 10 lines it used to be 10 lines of code. Yeah. Yeah. Now you're you're three gig worth of a GitHub repo.
668
00:53:23.470 --> 00:53:26.910
Yeah. It's so crazy to think about, but that's that's really where we're headed.
669
00:53:28.045 --> 00:53:34.845
The only other thing I really had on the list this week, and we're going a little bit long, but that's okay, we started a little bit late, was the
670
00:53:36.045 --> 00:53:41.245
hype around JEV still being, you know, really huge, that's ramping up. There doesn't seem to be
671
00:53:41.859 --> 00:53:45.540
an exact, like, raw open weight version quite yet,
672
00:53:45.780 --> 00:53:47.780
although I suspect there will be
673
00:53:48.260 --> 00:53:49.460
at any moment.
674
00:53:49.780 --> 00:54:03.965
And also, I've hate to break it to you, but Is it out? Right now, I just saw there's Kev. Kev. Okay. Kev. Breaking news. Welcome, Kev. Yeah. There's there's a few of them now, but I think they're pretty close on on the benchmarks.
675
00:54:04.045 --> 00:54:07.725
And just to give people the quick download for those that haven't looked at Jev
676
00:54:08.170 --> 00:54:08.890
is
677
00:54:09.210 --> 00:54:11.610
I would describe it as
678
00:54:12.170 --> 00:54:14.730
a very sort of deterministic
679
00:54:15.130 --> 00:54:20.090
way of doing models where it's it's really just giving you a probability and trying to make a decision.
680
00:54:20.330 --> 00:54:22.330
It's not trying to give you a bunch of words back.
681
00:54:22.895 --> 00:54:29.135
Right? And it can only handle a small amount of context, and so it's like decide if this prompt is
682
00:54:29.454 --> 00:54:30.655
a plan,
683
00:54:30.974 --> 00:54:32.095
a question,
684
00:54:32.335 --> 00:54:33.375
a greeting,
685
00:54:33.615 --> 00:54:35.694
anything where there's like categorization
686
00:54:36.060 --> 00:54:36.940
involved.
687
00:54:37.100 --> 00:54:39.180
Jeb's really good at matching
688
00:54:39.420 --> 00:54:41.740
those categorizations very dynamically
689
00:54:41.900 --> 00:54:50.860
and giving you a probability. Okay, 99% they're asking for a plan on this prompt, or they're asking a question, or they're just greeting you. Right? And so one of the coolest
690
00:54:51.684 --> 00:54:52.805
use cases
691
00:54:53.365 --> 00:54:59.125
that I've seen is using it as a router, using it as a judge at the beginning of your process.
692
00:54:59.525 --> 00:55:06.244
In order to Alan, like you were saying, which model do I send it to? Well, it needs the heavy powerful model if it needs a whole plan.
693
00:55:06.840 --> 00:55:15.080
If it's just asking hello and what's the weather, you probably get away with your your lightest model. And Jeb is like, you know, half a second to
694
00:55:15.720 --> 00:55:19.240
give you an instant, you know, tenth of a penny reply
695
00:55:19.400 --> 00:55:26.175
on the probability of what it is, and it it seems very good at that kind of use case. So not gonna replace
696
00:55:26.974 --> 00:55:31.615
a large language model for the thinking, reasoning workload,
697
00:55:31.695 --> 00:55:33.535
but it's really interesting
698
00:55:33.775 --> 00:55:37.775
at those type of applications. The other one I saw is somebody took screenshots
699
00:55:38.410 --> 00:55:40.730
and said, look at this screenshot.
700
00:55:41.130 --> 00:55:45.690
Tell me where the user got lost. Right? Did they not click on the right thing?
701
00:55:46.250 --> 00:55:50.650
You know, whatever it is. And they gave you the basic thing, and they fit in a million screenshots.
702
00:55:51.474 --> 00:55:55.635
And it just ate through very quickly what would have cost a ton
703
00:55:55.795 --> 00:56:01.795
in in inference cost in, you know, a few bucks they had categorized these million screenshots.
704
00:56:02.035 --> 00:56:04.595
So it definitely is a compliment
705
00:56:05.470 --> 00:56:10.430
to those existing systems, not a replacement for, but it's definitely a new powerful
706
00:56:10.510 --> 00:56:12.590
tool in the tool belt. And ideas
707
00:56:12.590
--> 00:56:20.590
like this have been around for a while, but this was definitely the breakout moment when they made that hype video and everybody's like, oh, I need that. Yeah.
708
00:56:21.285 --> 00:56:26.005
I like I like the Rick and I like the Rick and Morty That's what I was gonna on Jev. That was great.
709
00:56:26.005 --> 00:56:26.965
That was the best.
710
00:56:27.365 --> 00:56:29.525
I saw a teaser. I
711
00:56:29.845 --> 00:56:32.724
did some work on the router the other day and
712
00:56:33.180 --> 00:56:39.580
found out that you do not interact with JEV or decision model like anything else. It doesn't take the chat completion. So
713
00:56:39.980 --> 00:56:43.020
we do have a submitted the PR yesterday
714
00:56:43.260 --> 00:56:48.405
that should be out in the package for the proxy router that will take if a model is tagged decisions
715
00:56:48.405 --> 00:56:53.285
just like embeddings. I I would like in this almost works in embeddings as you take a whole lot of input
716
00:56:53.765 --> 00:56:58.005
and it gives you a very little output. It's it's kind of the opposite of what we expect, a little input, lots of output.
717
00:56:58.850 --> 00:56:59.810
And so
718
00:57:00.210 --> 00:57:04.610
I'm hoping when Kev or or whatever comes on to the Morpheus network,
719
00:57:05.570 --> 00:57:08.690
we're planning on being ready for it. So that's already in testing.
720
00:57:08.930 --> 00:57:10.690
There's one JEV that's out there.
721
00:57:12.025 --> 00:57:15.865
So I think it will be like you said, it's that front end router.
722
00:57:16.105 --> 00:57:24.985
You may not interact a lot with it, but it will be the traffic cop for things. So so getting your agent to be able to talk to JEV, a JEV like model or decision model,
723
00:57:26.000 --> 00:57:30.480
and then go off and do work on the the mixture of models of the MOEs
724
00:57:30.560 --> 00:57:34.000
is gonna be powerful. So but the teaser is it's
725
00:57:34.400 --> 00:57:39.280
we're we've got first article into the proxy router that should be baked in in the next twenty four hours.
726
00:57:40.385 --> 00:57:41.025
Nice.
727
00:57:41.585 --> 00:57:47.425
That's great. It's good to hear that somebody's already hosting JEV on on Morpheus. That's One provider.
728
00:57:47.505 --> 00:57:56.490
Yeah. Nice. Pretty quick turnaround. Very cool. Yep. Good stuff. Bo, anything else we, we didn't cover? I think that's a lot of the hype from this week. Yeah. I don't think so. That was,
729
00:57:57.210 --> 00:57:58.730
yeah. Pretty much everything.
730
00:57:59.610 --> 00:58:07.210
Other stuff just really quick pseudo related, but not totally was, Meta yesterday rolled out the preview of their VR glasses,
731
00:58:07.290 --> 00:58:10.025
which is exciting for the hardware nerds as well.
732
00:58:10.505 --> 00:58:13.385
You know, as as Morpheus and and
733
00:58:13.625 --> 00:58:28.550
smart agents and personal agents evolve, then plugging into, like, other types of hardware will
definitely be or more so, like, you using your agent or interacting with it through other types of hardware will be big. I was gonna say if we're gonna go Facebook, we should probably cover Muse.
734
00:58:29.030 --> 00:58:30.230
Oh, sure. Go. That
735
00:58:30.710 --> 00:58:34.630
was I would I categorize it as the Facebook agent
736
00:58:34.710 --> 00:58:35.270
harness.
737
00:58:35.964 --> 00:58:38.605
Right? And and is this
738
00:58:38.845 --> 00:58:40.925
the moment where all the normies
739
00:58:41.085 --> 00:58:45.405
get an agent? Maybe? Like, they're setting an ambitious goal of a billion
740
00:58:45.645 --> 00:58:55.350
news agents and he's got a footprint of, you know, three, four billion people, whatever it is on on meta. So, you know, it's believable. He's got the distribution.
741
00:58:55.670 --> 00:58:58.790
Does he have enough compute to support them all? Maybe. I don't know.
742
00:58:59.110 --> 00:59:00.390
But, you know,
743
00:59:00.950 --> 00:59:02.790
I think it's it's interesting.
744
00:59:03.190 --> 00:59:06.950
So I can put that at least in my mind, I put it, like, next to Grokbot
745
00:59:07.175 --> 00:59:11.655
and Hermes and Open Claw and Pi and these other Mhmm. Harnesses.
746
00:59:11.655 --> 00:59:14.935
But I haven't taken a deep dive on it yet. I don't use a lot of meta products.
747
00:59:15.175 --> 00:59:27.270
So so I haven't ventured down that rabbit hole just yet. Yeah. Although, I will say, like, Zuck seems to be a big proponent of open source. So I mean, he has been historically with Llama other so we'll
748
00:59:27.349 --> 00:59:30.070
we'll see what happens, though. Aft after November,
749
00:59:30.070 --> 00:59:34.150
and then certainly two years from now, if the political pendulum swings, we'll see how,
750
00:59:35.225 --> 00:59:40.825
you know, a much a fan of open source he is. He tends to be a go with the wind kinda guy.
751
00:59:41.225 --> 00:59:42.585
May maybe so.
752
00:59:42.825 --> 00:59:44.185
Though it'll be interesting.
753
00:59:44.985 --> 00:59:48.825
I don't think it'll hit as much this election season, but next election season,
754
00:59:49.940 --> 00:59:52.500
apparently AI is going to be the story.
755
00:59:52.660 --> 00:59:58.420
But I don't know how the anti AI people deal when a billion of their constituents
756
00:59:58.420 --> 00:59:59.940
have an agent.
757
01:00:00.740 --> 01:00:01.540
The level
758
01:00:02.075 --> 01:00:04.795
of, like, noise communication
759
01:00:04.875 --> 01:00:05.915
propaganda
760
01:00:05.915 --> 01:00:07.435
is just gonna be
761
01:00:07.675 --> 01:00:08.875
insane
762
01:00:08.875 --> 01:00:10.395
in 2028.
763
01:00:11.115 --> 01:00:23.580
I it may be going on right now. I mute so many political words in my x feed. I I'm oblivious to a lot of what's going on in politics, and so maybe everybody's being bombarded with campaign ads right now. I wouldn't know. But
764
01:00:24.380 --> 01:00:33.255
I think in '28, it's just gonna be wild because everybody will have an agent. And if they have a political opinion, they're gonna be able to effectively
765
01:00:33.335 --> 01:00:37.175
amplify that to any of their friends or
766
01:00:37.175 --> 01:00:39.415
people they know. I I compare it to like
767
01:00:40.295 --> 01:00:42.695
politics did not see social media coming.
768
01:00:43.590 --> 01:01:02.445
Right? Yeah. First social media star in politics was Ron Paul. Right? He hit the airwaves when YouTube was early and all that stuff was early in two thousand seven, two thousand eleven. And then really Obama was the first guy to take it mainstream and be sort of all over social media when his opponents were like, email?
769
01:01:02.605 --> 01:01:14.285
Like, who uses who uses social media? Like, making fun of it as if it was like this fringe thing and not, you know, by the mid twenty tens, majority of people using social media. So it'd be interesting to see the impact
770
01:01:14.580 --> 01:01:22.740
it has on the next one. So hopefully, it empowers people to have more voice and that voice to be more decentralized and not only routed through
771
01:01:22.820 --> 01:01:29.535
a couple of big news organizations. So anyway, we'll see what happens. But Yeah. I mean it'll be interesting. It is definitely going to be
772
01:01:30.015 --> 01:01:33.375
a a or the massive topic of conversation,
773
01:01:33.455 --> 01:01:34.015
but
774
01:01:34.335 --> 01:01:36.575
at least as as things look today.
775
01:01:36.815 --> 01:01:38.975
I do suspect, though, that by then,
776
01:01:39.670 --> 01:01:41.350
it just won't even matter.
777
01:01:41.590 --> 01:01:43.350
Because, like, it is it is,
778
01:01:45.030 --> 01:01:46.630
what's the word I'm looking for?
779
01:01:47.350 --> 01:01:48.710
All encompassing.
780
01:01:48.950 --> 01:02:00.865
Like, you cannot unring the bell, and people will eventually come to terms with that, or they won't. And then I always say, like, the joke I make is that we're just creating a new brand of Amish.
781
01:02:01.425 --> 01:02:13.100
Like, the Amish drew the line in the sand somewhere and said, this is where we no longer use new technologies. Why? I don't know. Like, in terms of, like, the exact history behind it, I'm not gonna claim to be a a,
782
01:02:13.500 --> 01:02:15.100
you know, historian
783
01:02:15.100 --> 01:02:28.625
on the Amish and the Mennonites and all that fun stuff. But somewhere along the line, a group of people said, draw on the line in the sand. This is it. You know? And we're just gonna There's gonna be a new subset of people who do the same thing with AI,
784
01:02:28.785 --> 01:02:34.625
who are basically And there are some people with computers. I mean, my own grandmother has never owned a computer.
785
01:02:35.240 --> 01:02:45.800
She does not own And now she has a phone. She has an iPhone now, which I guess I mean, I I would be shocked if she's ever even used, like, Internet Explorer on it. I would be I would be floored. But that
786
01:02:46.200 --> 01:02:50.599
was kind of like a mini version of this. AI is just gonna be an extreme version of this.
787
01:02:51.345 --> 01:02:53.425
99.99%
788
01:02:53.425 --> 01:02:54.305
of everybody
789
01:02:54.385 --> 01:02:58.145
will just bend the knee and realize that, like, it is unavoidable.
790
01:02:58.305 --> 01:03:15.250
We could shut it down here, or stop talking about it, or developing it here. That's not gonna happen in the rest of the world. So, like, get on board or get ran over by the train. Like, that's just it is what it is. Two years is a lot of time. I think by two years from now, that might already be generally accepted.
791
01:03:15.650 --> 01:03:20.050
Yeah. It's it's either generally accepted or it's gonna be a really losing campaign
792
01:03:20.615 --> 01:03:28.535
promise to Yeah. But that's why AI. That's why I don't think it will be though because it'll be That's why they always frame it as safety.
793
01:03:28.694 --> 01:03:29.255
Like,
794
01:03:29.494 --> 01:03:32.375
for your own good. Yeah. Think of the children.
795
01:03:32.615 --> 01:03:35.974
Don't you understand these AIs?
796
01:03:34.420 --> 01:03:36.900
Very, very dangerous. If only it was controlled
797
01:03:37.140 --> 01:03:37.700
by
798
01:03:38.100 --> 01:03:39.140
your betters,
799
01:03:39.380 --> 01:03:40.580
then things
800
01:03:40.900 --> 01:03:43.940
would be so much better. But I take your point.
801
01:03:44.260 --> 01:03:45.780
It's sort of like crypto
802
01:03:45.860 --> 01:03:46.340
in
803
01:03:47.105 --> 01:03:49.585
super turbo speed up mode.
804
01:03:49.905 --> 01:03:50.465
Like,
805
01:03:50.865 --> 01:03:58.705
crypto was easy to pick on when the banks would give you lots of money to basically stomp on crypto and keep their competition out.
806
01:03:59.025 --> 01:03:59.984
But eventually,
807
01:04:00.464 --> 01:04:02.545
50,000,000 Americans owned crypto.
808
01:04:03.080 --> 01:04:06.200
Yeah. And in 2024, Coinbase and all these others
809
01:04:06.520 --> 01:04:08.440
put a bunch of money into politics,
810
01:04:08.680 --> 01:04:10.280
and lo and behold,
811
01:04:10.520 --> 01:04:13.560
every single candidate they backed won.
812
01:04:14.040 --> 01:04:19.895
And so if you haven't gotten the message yet, trying to stomp on 50,000,000 of your constituents
813
01:04:19.975 --> 01:04:22.055
might not be a winning strategy
814
01:04:22.055 --> 01:04:24.695
because at this point, they have enough money and power
815
01:04:24.935 --> 01:04:31.655
to affect their voice into the system. And so it'll be interesting to see if this is like a flash in the pan with '26,
816
01:04:32.060 --> 01:04:35.980
or if they're still going on this anti AI thing by '28
817
01:04:35.980 --> 01:04:39.100
when so many people are using it by that point.
818
01:04:39.660 --> 01:04:41.980
How do they think that's gonna be a winning strategy?
819
01:04:42.060 --> 01:04:49.345
You know, it's it's gotta be wrapped in protection and and all these other things. But anyway, we'll see what happens. I agree with you.
820
01:04:49.665 --> 01:04:52.705
Genie's out of the bottle. Yeah. Yeah. It's There's too no like,
821
01:04:53.185 --> 01:04:55.345
they tried to shove it in the bottle in '23,
822
01:04:55.585 --> 01:04:57.744
and they they might have been able to pull it off.
823
01:04:58.590 --> 01:05:02.670
At that point, the models weren't that powerful. Like, we are so far beyond
824
01:05:02.910 --> 01:05:20.645
where things were Yeah. Three. And looking to back two years from now, looking back at this video, we'd be like, you guys had no idea, like, how fast the RSI was gonna accelerate or 10 other things that come after that. Right? So yeah. Yeah. I wouldn't be surprised if two years from now we have, like, basically,
825
01:05:20.965 --> 01:05:56.480
like, brave new world, full on dead Internet theory when it comes to politics. Like, it'll be so invasive at that point and not yet like, I think the invasiveness will move a lot faster than the, like, proof of humanity, like like, solutions will happen. Those will eventually happen. I think eventually you will have a world where you have an Internet again where you're somehow able to confirm that everyone you're interacting with is a person, but I don't think that's two years from now. But I do think two years from now, it might be invasive enough that it just makes itself completely irrelevant to the campaigns and stuff, because all of it's just, like, presumed to be not real.
826
01:05:56.800 --> 01:06:01.680
It's all just noise. Yeah. Yeah. It's all noise. I guess maybe I'm underestimating,
827
01:06:01.680 --> 01:06:02.640
though, people's
828
01:06:03.840 --> 01:06:18.215
It's so hard for me Okay. I've I've been hanging out with you nerds so much that it's so hard for me to grasp now what the average person knows about all of this. Like, my my version of this is totally skewed, I think. Yeah. Perfect.
829
01:06:18.295 --> 01:06:20.775
Where there's one, there's more. Yeah. Yeah. Yeah.
830
01:06:22.160 --> 01:06:24.880
Confuse them all. Good stuff.
831
01:06:24.960 --> 01:06:32.640
Awesome, though. Awesome. Well, thank you guys. I appreciate it. As always, thanks for everyone who hung out with us and everyone listening to the recorded version.
832
01:06:34.175 --> 01:06:41.855
We said we were gonna try to make it, like, 1% better every single week. The big upgrade this week is I figured out how to make the title on x
833
01:06:41.935 --> 01:06:53.539
the actual title of the show, not just welcome to our livestream, which is what it kept saying for the last couple. So I figured out the setting, how to fix that, so huge improvement this week.
834
01:06:54.019 --> 01:06:55.298
But anyway, thank you guys.