# Decentralized, Confidential Machine Learning – San Francisco 2025

- Channel: [Funding the Commons](https://streameth.org/funding_the_commons)
- Date: 2025-10-07
- Duration: 15:01
- Watch: https://streameth.org/watch/yt-ZmjgFDKyN0M
- YouTube: https://www.youtube.com/watch?v=ZmjgFDKyN0M

## Description

Decentralized, Confidential Machine Learning: What would it take to build AI that’s truly user-owned, censorship-resistant, and private by default? Alex Skidanov outlines a path forward using trusted execution environments (TEEs) to run models securely on untrusted hardware. He explores how this infrastructure could enable community-funded, confidential, and monetizable AI—where no one sees your data, and everyone who contributes gets rewarded.

Speaker: Alex Skidanov (NEAR Protocol)

This session was part of the 12th edition of Funding the Commons, held March 15–16, 2025, at the Internet Archive in San Francisco.

Learn more at https://www.fundingthecommons.io