Can open source prevent AI power from concentrating? Co-author of Attention Is All You Need, Lukasz Kaiser⁠, argues power concentration is a property of the transformer, not a permanent feature of AI.
In this episode, MTS host Sophia Dew visits the Open Source AI Summit in San Francisco to ask researchers and founders working at different layers of AI. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.

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Timestamps:

(00:00) Introduction

(01:20) Current AI Power Concentration

(02:55) Algorithmic Breakthroughs For Small Players

(04:46) Personal Open Source Tech Stack

(08:42) US Leadership In Open Models

(13:41) Creating American Open Source Incentives

(21:27) Benefits Of Open Weights Models

(22:31) Owning Enterprise AI Intelligence

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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.

5 Top Researchers Say Open Source Can Win | SF Open Source AI Summit

MTS

5 Top Researchers Say Open Source Can Win | SF Open Source AI Summit