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Jeff Beck: evaluation

31 Dec 2025 Machine Learning Street Talk Bayesian Brain, Scientific Method, and Models [Dr. Jeff Beck]

“It's being used to track these sort of low level statistics that that we sometimes need, but don't always need. And so this is why I say that that, like, you know, when we say context matters, you know, you can think of that in terms of, we were able to flexibly switch between tasks, which means having a lot of resources and having a lot, you know, maintained and having them still be in good working order just in case we need them.”

— Jeff Beck

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Speaker
Jeff Beck
Attribution
Verified speaker
Claim type
evaluation
Recorded
31 Dec 2025
Publisher
Machine Learning Street Talk

Transcript context

…Right? So Yeah. Yeah. Is is that definitely the case, though? Do do you think that we could actually be processing more information than we know? We are definitely processing more information than comes out in behavior. Yeah. And a lot of that is because we are continually learning. And like learning, you have to, you know, you you close your eyes for 5 years and your visual system decays. Right? You lose fidelity, right? It it forgets. It requires constant input simply to maintain this understanding of like the low level statistics of the visual world. And without input like you're So the question is is that using all the information or is it just using like the low level information? And it's information that we don't directly perceive, but it's still but it's still definitely being used in a sense. When it comes to, you know you know, but it's but what what is it being used for? It's being used to track these sort of low level statistics that that we sometimes need, but don't always need. And so this is why I say that that, like, you know, when we say context matters, you know, you can think of that in terms of, we were able to flexibly switch between tasks, which means having a lot of resources and having a lot, you know, maintained and having them still be in good working order just in case we need them. Right? And this is why, like, the self supervised or unsupervised learning approaches that are ubiquitous for, like, starting, you know, getting your LLMs to give you, you know, sort of your reasonable prior over over language is the sort of stuff that your brain is definitely doing. So in a sense, it is using everything, but it's not really using all of the information that's present. Right? That's sort of, I think, the argument that I wanna make. The idea of having to traffic in squishy people in order to make our systems go is not immediately appealing. Let's put it that way. This episode is sponsored by Prolific.…

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