AVOID HYPERSCALERS

“I think people think a lot about the AI space right now, and they think about, yeah, this sort of, like, product level, like, the systems they're interacting with, like chat g p t and things like that, but they don't realize how much is actually behind those systems necessarily. And I think the wider world, how much centralization is actually behind those systems. Those systems rely on very small number of companies to run them. To the average user, you sort of know that you're interacting with OpenAI, but you don't actually realize how much is going through their servers and their systems.”

“More recently, the most kind of interesting wave has been within reinforcement learning post training or just reinforcement learning in general where you basically give the machine an environment and a kind of reward signal to operate with and then you let it explore. This allows us to to use the compute that that machine learning model is using to generate its representations without requiring a human to label every sample. And so it takes away that kind of, like, human effort, shifts it to the creation of an environment, and then just puts it all on the execution of the machine learning model.”

“Mine's probably like a touch less cerebral, but it's basically, power lifting. If you're lifting a very heavy weight, it has it's a bit like a mental, like, palate cleanser. It's very hard to think about anything else. If you're, like, under, like, a squat bar, for example, like a very heavy weight. It's something I found where sometimes I go into, like, the gym to lift weights, and I'll be, like, you know, thinking about everything that we've just been talking about. And then for, like, the period immediately after it, it does just it's like a reset button.”

“Everybody will give you advice. It always comes from a certain context that that person has, and that context is not your context. As a founder, you have the absolute maximum information about the thing that you're doing. You can't give all of that information to somebody else to give you advice. And so advice realistically is just a data point that you should ingest. If you actually take advice itself, you're almost all of the time gonna be doing the wrong thing in my opinion.”

“If you look at social media, when social media first started rising, we saw it as just this, like, application that we would interact with. We didn't necessarily realize as the wider user base how how much of that was actually just foundational infrastructure for the future of humanity. This idea that we could interact with each other across enormous distances actually isn't necessarily just a product. It's fundamental human infrastructure. And so because we built it as a product, we allowed all of the power to accrue to that small number of companies who built that infrastructure.”

“We reach a point where the machines are autonomous to be able to make their own decisions. They have their own on chain identities. They have the ability to update their own objective functions and reward models, which in combination with crypto economic property rights basically makes them sovereign economic actors. All this will be coming in the next twelve months. At that point, you have this completely Darwinian market for intelligence, and we don't know what happens next.”

“Crypto allows us to do that entirely programmatically. And so that's very efficient. If it's just humans, it's great. It makes it more efficient. If it's machines, it's essential. Because a machine can't go through the court system. It can't operate through those human world trust mechanisms. It needs programmatic trust mechanisms. And so crypto becomes essential if you start swapping in machines for humans in those interactions.”

“If you look at computing as a technology, humans had to learn to interact with a purely deterministic machine. So it's purely imperative. We know exactly what it's gonna do, and we have to interact with it with these formal rules because that's how computers work. Actually, I think historically, we'll look back and that will be a blip. It'll be that we had to do that at the very beginning of computing as a technology because we hadn't figured out how to do it more natively for humans. And actually, we're coming out of that era now, machines are becoming probabilistic.”

“I would say managing your energy, not your time. I think people get wrapped up in thinking about how much time they're spending working, and it's the wrong thing to focus on. If you genuinely are holistically as an individual aligned with what you're doing and want to achieve long term, the best thing you can do is the amount of energy you can put into things. Just, like, stopping staring at a laptop screen, going outside for, like, two straight hours and just walking gets you through far more work as, like, real work than you would sitting in front of that laptop screen just grinding out what would be seen kind of normally as work.”