Speaker unverified: uncertainty

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…That would be a good start. I don't know. That's like, that's my usual thing. Sort of, oh, it's a new toy. Let's see if it can add long numbers. And it almost always can't. It's just Well, mean, devil's advocate. Yeah. No one's going to argue with you. If you say vanilla LLMs are, you know, basically databases, no one's gonna argue with you. Right? But you can add tools to them. Mean, so you were starting to talk in your paper about there are some very interested interesting hybrid approaches. So, know, obviously, on the LLM side, you you add tools. And there's an interesting discussion to be had there, whether you train them with stochastic gradient descent. They use tools. What can I do? But you're also talking about some other interesting, like there's the non axiomatic reasoning system from Pei and there's like the hyperon system from Ben Gertzel. And my honest, like, I don't know anything. I don't know much about those systems. But honestly, when you were describing them, it seemed a little bit like they were everything but the kitchen sinks. I felt like they can do a bit of Bayesian inference over here, and they can do some neural networks over there. And I mean, that could work. But what's your assessment?…

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