Akarsh Kumar: preference

Transcript context

…So you're applying you're applying your principles to the field itself. Yeah. I mean, like, you can't I asked Risto this whenever I first, like, got into AI, Risto Mikulen, and when I got into AI research. And I was like, what's your path to AGI? Is it evolution, or is it, like, the current deep learning? And he was like, I don't know. And I don't I don't wanna give you a recommendation because the point is that none of us are we're supposed to all follow what we think is the coolest thing and not just like just decide like, oh, when you put a 100% of our resources into this 1 thing. So in that light, I think that there needs to be I think there, more people should look into, you know, artificial life, pick breeder, and the ideas from our paper and, see because I think it's a very promising direction. And 1 thing that's like, I'm really curious about, even if, like, the current paradigm is, like, very cool, you really like it, it's very different than how humans operate and how evolution operates. It's very different. No 1 will deny that. Right? No 1 we don't just train on IID batches of data for, like, a million steps. Right? So no 1 will deny that. And I think for academia, we really should try to understand and, the evolution and artificial lifestyle of things a lot more. So I think a lot more investment should go there. Great.…

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