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Speaker unverified: belief

23 Jan 2026 Machine Learning Street Talk Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

“I think language is bound up with sensory motor engagement, and how we, likewise, how we perceive the world is shaped by linguistic concept formation and everything like that.”

— Speaker unverified

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Speaker
Speaker unverified
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Not verified from this transcript
Claim type
belief
Recorded
23 Jan 2026
Publisher
Machine Learning Street Talk

Transcript context

…Another argument Searle was making was how machines couldn't understand. Yeah. And, of course, he was talking about things like semantics. Yeah. Do feel that they could understand? So what do I think? I think certainly there's more to human understanding than that. I think that a thing about human cognition and animal cognition in general is that my view is that it's not a set of discrete modules that work separately from 1 another. I think language is bound up with sensory motor engagement, and how we, likewise, how we perceive the world is shaped by linguistic concept formation and everything like that. So the idea that you could just sort of detach off a language faculty, have it replicated in an LLM that doesn't have the other bits of our cognition and it doesn't have embodiment, doesn't have the capacity to engage with the world, and that it could have understanding in the same way that we do. I find that implausible. Interesting. But again, if do the galaxy brain thing and we say we can embed robots in the physical world, give them sensory motor affordances all the rest of it, you know, are many replies to the Chinese room argument about this, like the robot replying type. Yeah, yeah. You know, would they have a little bit more understanding?…

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