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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]

And I do think that

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

the very idea that a non-situated, sort of non-embodied absorber of facts like an LLM that kind of just sits there and like sucks in all the information in the world, that that could somehow be

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

counterpart to how we know things as human beings, I think that's an instantiation of this lack of acknowledgement of human finitude, because it's human finitude coming from a culture which is expert at some things but not other things, and whose knowledge is grounded in a discrete set of sensory experiences that are not accessible to other people, so that boundedness of knowledge.

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

To say that

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

that is not inherent, what it is to be a knower, that a purely disembodied absorber of facts is what we are.

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

I think that sort of revealing that lack of acknowledgement of finitude, which is there in that tradition that he criticised.

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

This tradition that Heidegger criticizes from that path from philosophy to technology of this aspiration to sort of transcend embodiment, transcend materiality, to create for ourselves this leap into a almost spiritual world of pure information.

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

And it's interesting how technology infrastructure is presented to consumers, people like me, as behind the scenes, immaterial, not really connected with real world constraints.

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

It's the cloud.

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

floats above us.

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

There's no almost cost to it.

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

It's weightless.

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

That's not how technology infrastructure works, but it seems like that's what we'd like it to be.

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

We'd like this idea that all of this information age that we have us around today is

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

It's not connected with real world stuff like actually building computers and shortages of resources and consumption of energy and all of those things.

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

We like to think of it as disconnected from that in ways that it's obviously not.

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

Yeah.

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

So living in the information world, do you mean by that kind of the information that we get through devices, through kind of this diffuse spread of technologically connected things is more salient to us than our experience with like our concrete here and now situation?

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

Sure, yeah.

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

I mean, I think all of that is possible because human beings are imaginative creatures.