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

Again, the like one of the challenges with doing that is, you know, massive data centers, like lots of cap packs.

Now you need a lot of energy, it's all in one place, you have latency problems, you have sovereignty problems, so all the challenges.

Now the cool thing is again, because uh owners of compute don't actually see anything, we can again open it up and make it permissionless.

We can let anyone with compute join.

we have a way to verify that compute is indeed NVIDIA and Intel chips, um, because they effectively sign the certificates.

And now we can decentralize the compute itself, right?

So we can have compute everywhere, uh joining across the world.

Uh we can then route requests to the you know closest and available compute to you.

You get confidentiality verifiability.

You now can pay to the network, and network then distributes this rewards.

Very similarly, how validators receive rewards for providing uh validation of the blockchain here.

The compute providers receive rewards for providing compute, and then users pay for using inference, uh, or or developers paying for using inference.

So that kind of creates what we

We call decentralized confidential machine learning cloud.

Right.

And you it's not just for AI stuff, you can also run, you know, arbitrary compute over it as well.

data processing, you know, agents, MCP servers, et cetera, et cetera.

Uh you know, store memory end to encrypted uh for for users.

So that's kind of the that like the second piece, which again enables that vision of like, hey, how am I gonna have a IOS um that you know truly private and I know what's happening there.

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