The Wisdom Wall
8 quotable lessons, heuristics and mental models. Every one is playable at the moment it was said. No fortune cookies allowed.
“And I think if you're asking the question of like, how do we evaluate people on exactly the thing that AI can already do, that's kind of the wrong way.”
“I think in AI, what you see is that really excelling on the technical aspect just matters much more, I think, in AI than some of these other fields, and I think there's been lots and lots of businesses in the past that have been very, I'll say, like very intense logistics businesses or very tough kind of like…”
“10% of that job is basically this really fun part of just pure problem solving, thinking about what you want to build, being creative, like understanding the different solutions, deciding, okay, what architecture makes sense here? How exactly am I going to, you know, achieve my goals here? What do I want to build?…”
“I think what, what it kind of shows, I would say is actually, I think we're at a point now where intelligence actually isn't the bottleneck, if that makes sense. You know, I think these models are capable of solving some really, really hard problems.”
“One of the reasons that code is growing so quickly is because you have this really great feedback loop of success or failure, right? It's, you know, in, in, in healthcare or in law or something like that, you know, it's, it's a lot harder to say, you know, whether you did the right job or not and code, you can run the…”
“we had the view that instead of pure text interfaces, there was going to be A lot more full interaction where, you know, AI systems could, could not just read texts and answer questions, but actually just go and interact with the real world and encode. Obviously that means debugging, pulling up the logs, reading…”
“I think that the balance in AI does just inherently swing a lot more technical. You know, it's, it's, there are a lot of pure technical problems that if you can just solve these really, really hard problems, it is, It is incredibly clear, you know, what happens and, and how you turn that into a business.”
“In, in generative AI, you know, everyone talks about kind of the whole generative AI wave. I actually think it's two waves. You know, the first wave is kind of what I'll call like imitation learning, and the second is, is more like RL, reinforcement learning.”