Evidence receipt / prediction
Published · transcript-backedKeith Duggar: prediction
10 Sept 2025 Machine Learning Street Talk Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
“You mentioned consciousness which you shouldn't really do with me but if we stay here for long enough for more than 5 minutes, we will ultimately become completely entangled.”
Source trail
Everything needed to verify it.
- Speaker
- Keith Duggar
- Attribution
- Verified speaker
- Claim type
- prediction
- Recorded
- 10 Sept 2025
- Publisher
- Machine Learning Street Talk
Transcript context
…And our dream has been realized today. Absolutely. So pleasure to meet you. It's absolutely been a pleasure. Cheers. Cheers. You mentioned consciousness which you shouldn't really do with me but if we stay here for long enough for more than 5 minutes, we will ultimately become completely entangled. We will not become 1, we'll still have still have well, actually, Chris Fields thinks he would become 1. But, is evolution an intelligent process? It's certainly a free energy minimizing process. So, you know, it is just basic model selection. Well, it's like, is is the planet intelligent? Yeah. Yeah. I don't see the weather planning. I don't see evolution planning. It doesn't think about its future. Life is the intensive property of matter, and intelligence is the extensive property. It's not an ensemble of universes. Well, of course, for the purposes of this argument, there's only 1 state of the universe at any 1 time. I'm not sure this is correct, but I don't want to disappoint you. So yeah. Don't worry. It's well beyond my life lifetime when that will happen. If you're going to make a difference, it's really understanding how to use all the marvelous engineering that we've witnessed in terms of generative AI and large language models and the like in the service of understanding the principles that underwrite natural intelligence and deploying that understanding either to make life better, fun Mhmm. Or to underwrite sustainability in a slightly more sort of political way or to deploy it, you know, which is why I got into this game in the context of mental well-being and computational psychiatry. To quote Feynman, that which I cannot create, I do not understand, that means we have to be able create things that suffer. Yep. Which means that we need to understand the principles of natural intelligence. I don't know if you saw, I interviewed Yoshio Bengio. Alright. And I used the term epistemic foraging a few times and he said I I love that term. I love that term. Where did it come from? Professor Friston.…
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