Benjamin Crouzier: recommendation

Transcript context

…you need to figure this out. So very often, our harnesses will break here. So they actually got the idea right. You need to move to the exit with the 2 things aligned. But then but they they they think they should win here, but actually you need to move up 1 more move. But it is quite common actually that they fail to beat the level from this point because they cannot think that you they think, no, but that's that's outside the mace, so you can't move there. Yeah. And the human would just, whatever, just give it a go and see what happens. Yeah. But somehow, we can't get our harnesses to also do that. The the best recipe we have today to build the intelligent systems is scaling up these large language models. I think Sam said you should definitely not be trying to to train LLMs yourself. Nah. I don't recommend it. Why not? I think the easiest is just go work at Anthropic. That's the easiest. I have a I have a sense I cannot prove anything that this is the time things start to get weird. Yeah. I think he's right about that. Most fundamentally is I want to understand intelligence, how the brain works, and how to build intelligent machines. It's a big mystery. I guess when I was young, was excited about both computers and brains. Computers, I feel now we have a clue how it works, and I did computer science studies, so that mystery is kind of gone, but the mystery of about brains is very much alive. I have a strong sense that, like most of society, is bottlenecked on cognitive labor and insight and intelligence. And so if we have more intelligence, that would be a big unlock for many things. You won the preview competition, and I was using a different method. Yes. And then you found that that didn't work very well when the main competition came out and you moved towards this. Yes. So for the…

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