Illia Polosukhin

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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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"The Cognitive Revolution" · User-Owned AI: On-Chain Training, Inference, and Agents, with NEAR's Illia Polosukhin · 13 Sep 2025 podcast

And so this already has an economy, right?

We effectively bring in compute and usage.

Now the other challenges is indeed models and and data in a sense.

And so there you have okay, well, right now if I'm a model developer, I effectively have two routes.

I'm like open sourcing it and making zero money.

Or I keep it closed source and then I I need to actually procure compute, make sure that compute is, you know, very f like I trust the compute provider, meaning like because I'm uploading my weights to them, they can actually steal and and open source my weights or you know, run them alternatively.

So that's why only like big hyper hyperscalers actually usually partner with uh like you know, Microsoft OpenAI, Amazon

Tropically.

And and then on top of this I also have like there's also this maturity problem where it's, you know, if I have like I'm just launching a new model, I don't have any users for it yet, but I kinda need to commit to a bunch of compute from this hyperscaler, like usually like two year contract.

I don't actually know how much I need.

If I get more users than I have compute, now I need to pay ton more.

So it it's like a very weird, you know, kind of also economic question.

Again, economic question.

Uh we have we have tools to do that.

And so the idea here is that now um if it's open source model you upload it or if it's closed source model you can encrypt and upload it to our system.

And so now again, because all of the compute happens in this confidential environment, we can decrypt the model.

inside conventional environment, meaning n again, nobody is able to access what's what's happening there.

And you can run uh on users' data privately.

And so and now when user pay, they pay both the developer and the uh the model developer and the hardware provider the fee.

Right.

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