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Mazviita Chirimuuta

๐Ÿ‘ค Speaker
363 total appearances

Appearances Over Time

Podcast Appearances

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

whether it's my stomach as opposed to my brain.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

And so that's a challenge to the computational theory of mind, that it's assuming that brains implement computations just because we can sort of model them computationally, but we can model all kinds of things computationally.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

What makes brains special?

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

I don't think it does.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

So computation itself is mathematical formalism.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

It is a mathematical structure.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

Things that have causal powers are concrete physical systems.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

So I just think they're different kinds of things.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

Yeah, I mean, I think it just goes back to this issue, like computation in and of itself is not the kind of thing that could have causal powers.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

I think Sol's point, and this is in the rediscovery of mind on this, was an interesting one.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

It was kind of maybe kind of subtle and it kind of gets lost in the wash of like AI back and forth and Sol bashing, which happens a lot.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

But...

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

It was about the kinds of ways that we form explanation in the sciences.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

And his point was that cognition, if it's anything, is something as part of the physical realm, the realm of causation.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

The assumption of the computational theory of mind and he argues that this is very dominant within cognitive science is that you can explain this phenomenon which is a phenomenon of the concrete physical world through this non-causal thing which is computation and suddenly there's no gap that needs to be closed.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

And I think that's a fair point, is that there's something inherently that needs further justification of why of all of the things that happen in the concrete physical world that demand explanation, why we reach outside of the concrete realm of physical causation into computation in order to explain this thing, cognition.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

What do I think?

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

I think certainly there's more to human understanding than that.

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

I think that...

Machine Learning Street Talk (MLST)
Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

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 one another.