← All source episodes Machine Learning Street Talk / episode intelligence
Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)
10 Sept 2025 14 published claims 3 attributable people
Speakers in the public record
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evaluation 4prediction 4belief 3disagreement 1recommendation 1commitment 1
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The useful parts, with receipts.
14 published records
“We designed Gemini CLI to be your collaborative coding partner at the command line.”
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- Not verified from transcript
- Publisher
- Machine Learning Street Talk
“Maybe just jump in for a minute because I think actually it's not even specifying the structure.”
- Publisher
- Machine Learning Street Talk
“You could if you wanted to simulate these kinds of things, you could read the DNA as the code that the priors that specify the structure. And, you know, I think that if if if you think of DNA as prescribing the structure of your generative model or your world model or your factor graph that will be fit for purpose and is learnable.”
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- Machine Learning Street Talk
“I think Vanja Weiss has written a paper about this and I think Aneel Seth speaks to this argument in a recent behavioral and brain science paper.”
- Publisher
- Machine Learning Street Talk
“Oh, naughty. So, yeah, and I think, you know, people like Neil Seth make a very similar point quite earnestly, you know, that intelligence and and consciousness are completely orthogonal, that you're making agency and consciousness are completely orthogonal, and I would agree entirely.”
- Publisher
- Machine Learning Street Talk
“I don't think you can do this on a on a Von Neumann architecture because the the Markov blankets of a Von Neumann architecture where you're reading and writing from memory make it very difficult for the memory to self organize.”
- Publisher
- Machine Learning Street Talk
“You install that cause effect structure into your computer architecture, which is again the argument against von Neumann architectures, which is why 1 might, I think, look to all the processing in memory, neuromorphic photonics, possibly quantum computation, but think that's gone off the boil recently.”
- Publisher
- Machine Learning Street Talk
“I've never been able to completely pin you down, professor Friston, because there have been so many interpretations of the free energy principle that that lean internalist and externalist and even, the the hybrid version, which Maxwell also wrote a paper about.”
- Publisher
- Machine Learning Street Talk
“At which point, I think you would you would find it very difficult to find something that was intelligent in the sense we're talking about because we have to have this recurrence, this solenoidal aspect in order to revisit the states.”
- Publisher
- Machine Learning Street Talk
“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.”
- Publisher
- Machine Learning Street Talk
“You know, you you need to have that conditional independence to separate the thing from everything else or the self from from the non self. And everything's fine because the active states are hiding behind the sensory states, so the external states can't influence the active states, so that's tick 1, that's what we need.”
- Publisher
- Machine Learning Street Talk
“Being able to communicate the free energy principle in a way that people find a useful and obvious sort of tool or method to apply could have, I think, gone better.”
- Publisher
- Machine Learning Street Talk
“I think that there is a Goldilocks regime, means that we can only exist at this scale with, as you say, this sort of yin yang, this admixture of dissipative dynamics and conservative dynamics.”
- Publisher
- Machine Learning Street Talk
“So what he would talk about there is not the synchronization between the inside and the outside or me and you and everything else like me and you, but entanglement. So the principle of unitarity is just basically well you can read the free energy principle as just the principle of unitarity which just means if we stay here for long enough, for more than 5 minutes, we will ultimately become completely entangled which means classically we will be engaged in a generalized synchrony.”
- Publisher
- Machine Learning Street Talk