# Can Open Source Keep AI Power From Concentrating?

Page: https://stenobird.com/podcast/the-a16z-show-436525/can-open-source-keep-ai-power-from-concentrating
Text version: https://stenobird.com/podcast/the-a16z-show-436525/can-open-source-keep-ai-power-from-concentrating.md
Podcast: [The a16z Show](https://stenobird.com/podcast/the-a16z-show-436525)
Published: 2026-09-07T10:00:00+00:00
Episode link: https://a16z.simplecast.com/episodes/can-open-source-keep-ai-power-from-concentrating-SoZe4_xf
Audio file: https://mgln.ai/e/1344/afp-848985-injected.calisto.simplecastaudio.com/3f86df7b-51c6-4101-88a2-550dba782de8/episodes/ad5068cd-5d10-4465-bc38-31449e172e26/audio/128/default.mp3?aid=rss_feed&awCollectionId=3f86df7b-51c6-4101-88a2-550dba782de8&awEpisodeId=ad5068cd-5d10-4465-bc38-31449e172e26&feed=JGE3yC0V
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JSON: https://stenobird.com/v1/public/podcasts/the-a16z-show-436525/episodes/can-open-source-keep-ai-power-from-concentrating
Duration seconds: 485

## Resource

MTS host Sophia Dew visits the Open Source AI Summit in San Francisco to ask researchers and founders across the AI stack a central question: can open source prevent AI power from concentrating in the hands of a few companies? Lukasz Kaiser, co-author of Attention Is All You Need, argues that today’s concentration may be a feature of the current technological paradigm rather than a permanent feature of AI. Transformers reward enormous amounts of data and compute, but future breakthroughs could make smaller, more specialized models far more capable. Across conversations with researchers and builders working on open models, infrastructure, and applications, Sophia explores why China has taken the lead in open-weight models, whether the U.S. needs more open-model startups, what it means for companies to own their own intelligence, and where openness alone falls short, particularly when access to compute remains concentrated.

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## Transcript

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