Brendan Foody: belief

Transcript context

…Okay. So then building on that, a question that comes up a lot these days is, and I know we're talking about fun stuff, but I'm getting to serious stuff again. Yeah. scaling laws and just like progression of model intelligence. A lot of people are feeling like, I don't know, it's slowing down. We're not going to really get to super intelligence at this rate. What is your sense? I totally agree with that. Like, I don't think it's I know there's been some executives at big labs that say we'll have super intelligence in three years. But I think the truth is that it's a longer road. And that's not to diminish from how extraordinary the models are. Like, I think we'll be able to automate a majority of knowledge work tasks in the next 10 years for sure. But that long road is paved with all of the evals that help to make those capabilities possible. And it's not going to be 10x more pre-training data that gets those capabilities. It's much more going to be all of the post-training data sets that are far more data efficient and thoughtful that help us get there. David Sachs tweeted this interesting point that like the situation we're in now is almost the best case scenario where AI is not in this fast takeoff to super intelligence. There's a lot of competitors kind of keeping each other in check. Models are already very valuable and only getting valuable, more valuable. But there's not just this like winner super intelligence taking over the world situation.…

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