Illia Polosukhin, co-author of the seminal "Attention Is All You Need" paper and founder of NEAR, unveils his ambitious vision for user-owned, privacy-preserving AI.

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Illia Polosukhin, co-author of the seminal "Attention Is All You Need" paper and founder of NEAR, unveils his ambitious vision for user-owned, privacy-preserving AI. This technical deep dive explores NEAR's foundational infrastructure, from its proof-of-stake consensus and leveraging NVIDIA's confidential computing for private inference with minimal overhead. Listeners will discover how NEAR aims to decentralize model training with cryptographically guaranteed returns and how blockchain can provide stronger guarantees for AI agent behavior, setting the stage for a future where AI truly belongs to everyone.

Sponsors:
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CHAPTERS:
(00:00) About the Episode
(03:58) From Transformers to Blockchain (Part 1)
(17:01) Sponsor: Linear
(18:30) From Transformers to Blockchain (Part 2)
(21:23) Blockchain Security Fundamentals (Part 1)
(33:36) Sponsor: Oracle Cloud Infrastructure
(35:00) Blockchain Security Fundamentals (Part 2)
(39:01) Zero-Day Vulnerabilities Solution
(51:11) Confidential Computing Infrastructure
(58:07) User-Owned AI Models
(01:14:47) Marketplace and Governance
(01:18:57) AI-Crypto Synergy Vision
(01:27:50) Autonomous Agents Future
(01:31:22) Outro

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