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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]

I think language is bound up with sensory motor engagement.

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

And likewise, how we perceive the world is shaped by linguistic concept formation and everything like that.

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

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.

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

Yeah, I mean, that's getting more along the lines of the kind of thing that could have understanding.

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

I think there's also more relevant stuff in the background of what it is to be a biological thing in that

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

Some things are inherently meaningful to you and relevant to you because they're connected with the demands that the challenges of your environment place to you.

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

Like I was saying before, being alive is a way of being always in a situation that is problematic to you.

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

So saliency and meaning, I think, are connected to that.

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

It's not to say that you couldn't have robots with more and more precarious lifelike situations.

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

And maybe, I don't know, it's not beyond the realms of possibility that then you start seeing understanding in ways that are more like that as well.

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

So one of the things that Heidegger said, and in many ways he's a grandiose and unpleasant person, but his grandiosity kind of manifested in how he read the importance of philosophy to things about the modern world today.

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

So one of the things he said was that technology and cybernetics for him, we could say AI for us today, was the culmination of a metaphysical tradition.

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

So it's because the history of philosophy set out on the certain path that it did that we are here today now with these technologies which seem to be having such a transformative role in our lives and to the point that we feel like not in control of these technologies.

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

I'm not a philosophical determinist like that.

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

I don't think just because some philosophers in ancient Greeks said certain things that this is why we have AI today.

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

But I think there are some features of the contrast he draws with the philosophical tradition.

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

in his own account of what it is to be a human person that give us an interesting perspective on what is being assumed in that path towards AI.

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

So one of the things he really insists on is human finitude.

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

We are inherently finite bounded knowers as communities and we're communities of knowers, but that the philosophical tradition has encouraged a kind of leap forward

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

that encourage the idea that something about us as knowers kind of crosses beyond the boundaries of finitude into like a universal, boundless realm of knowledge.