Robert Lange: belief

Transcript context

…And do you think these systems can become incredibly sophisticated such that they are, you know, somewhat detached from humans? Well, I mean, with the AI scientist v 2, we sort of released that 1 paper that we submitted to an iClear workshop was able to sort of pass the acceptance threshold before meta review. So I do think at least for sort of workshop level contributions, we're we're getting there. While not every submission in AI scientist paper does is or is reaching that threshold, we're we're at the point where we can even talk about sort of noisy review processes and this actually being, yeah, something that as long as you have a large budget, you might get something out of it. I think going forward for the bigger innovations and so on, for now, you still need humans, but we're sort of at the GPT 1 moment of of making this sort of a reality and potentially in 10 years, this is gonna look very, very different once the sort of also the infrastructure for it has been built up. Right? So there are places like periodic labs, right, which sort of now are building like real physical labs with robotic systems to automating automatically sort of execute experiments. This will take some time, but it is sort of imaginable for sure that as we sort of do RL on these types of systems, and we actually also account for negative results and for actual, like, hypothesis testing. So getting these systems to be a real good hypothesis testers with verifiers in the loop that we might be able to unlock many more capabilities. Yeah. I mean, I suppose I I don't want to sound like a Luddite. So it's entirely possible that this is just, you know, I I don't have the imagination to think about the future. So it is possible that in the future that these systems might understand very deeply and be creative. Know, I think right now the problem is they only understand things a few levels down in the epistemic tree. So they can do some surface level recombination and they can discover new things in the basin of things that have already discovered. But but we understand things very deep down in in the epistemic tree, means our, you know, our cone of creative potential is is much wider. It's possible that that gap might be closed. What would happen then?…

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