Nathan Labenz: uncertainty

Transcript context

…Yeah. So this is kind of why I said that everything's isomorphic to everything else. Like you can see either way working, but what do you think? Obviously, you're betting on this Pi framework as opposed to like these sort of products that kind of exist in like a constellation where they're out there off orbiting around this center thing. I don't know. What do you make of all that? Yeah, not quite. You mentioned in the tasklet, why not other models? So this is a thing perhaps I missed with the explanation here. I have a research skill and I have three levels of the research skill. So if I say do deep research or heavy research or whatever, it goes, it spawns all five of my research agents, but it spawns eight of them. And all of them have separate subtasks. So they all go off and do their work. But guess what? It's not a bunch of anthropic agents. That's Gemini doing that. That's Codex doing deep research. Those are command line tools. All of my tooling that I actually use, Kai has access to. If they have an API, if they have an easy way for me to interact with it. So my personal productivity software that I do use to run my team, Kai speaks that language. Kai went and reverse engineered all the MCPs, turned them into TypeScript. So I don't actually have to load up any MCPs, which take up a lot of context. But Kai now speaks this productivity software. Kai speaks Salesforce. Kai speaks email. I get to bring the best of the best tools to Kai and say, this is what we use for this. And what's cool about this is that it's exactly what you said. It's best in breed. You don't have to reinvent things. I'm not trying to rewrite SMTP. I'm using existing ways to send emails. Productivity software, I'm not going to make a new piece of productivity software. But if I want to replace a piece of software, I could say, hey, I don't like paying for this subscription anymore. Go make a piece of software. And it will use all my context, all my tech stack, all my design preferences, all my UI preferences and art preferences and everything. And it will build that software. So it's a mixing. And I'm also, we're going to be adding OLAMA as well. So you could use local models in addition, right? So when you're using Pi, fundamentally, it's anthropic. But I've got probably six different model providers that Kai is using because they're better at different things. For example, Google is the best at extremely large context and like Haystack performance.…

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