Illia Polosukhin
speaker
714 appearances
3 recordings
1 series
first heard Oct 2024
last heard Sep 2025
Illia Polosukhin’s voice in public audio — every appearance, attributed to the second.
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So we actually have both like near crowd, which is kind of original project we had for crowdsourcing, like crowdsourcing and then like scale AI style, as well as we have a public AI, which is another like data labeled crowdsourcing.
No, so those are all the good questions.
And I think the high level answer is like we're effectively creating a marketplace of the of all of this decisions, right?
So instead of trying to prescribe like okay, Ilya will be the tastemaker and and like decide you get the compute and you don't, instead we say, Hey, we're creating a marketplace where anyone can do this and probably Ilya will do it as one of the participants, but there can be any
anybody else doing it as well.
And and you kind of have the rules and everything known and you have like visibility and trace and you can also build on top of each other instead of, you know, right now you're effectively competing.
And so yeah, we we kind of touched on it, but yeah, like for let's say I'm gonna say, hey, I'm gonna train this, you know, one point four trillion model.
I'm gonna issue a token for it, right?
So I'm gonna create a new effectively value capture system for this specific model, right?
I can now distribute it for the compute, I can distribute it for data, I can distribute it for research and work, right?
In this case, you know, I'm I started it so I probably will be the test maker and picking and selecting which pieces I wanna put together.
We train it, you know.
If it gets used.
With uh and then you know when we distill it fine tune, etcetera, the revenue gets distributed to the token holders, right?
Now in parallel somebody is like, Oh actually I'm gonna train, you know, seventy B model in this way, etcetera.
They gotta use exactly the same framework, exactly the same system.
do this, you know, and again, uh because 70B is smaller, cheaper to use, but then it also runs faster, so like it's gonna get used in different use cases.
So you can kinda you can like you're really using this more of like as a platform where different people can kind of put together these pieces really easily.
And you don't need to have, you know, you don't need to raise like whatever, ten billion dollars to really kind of do this
uh you can actually raise like smaller and specifically for compute data, et cetera.
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