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Most AI-geopolitics analysis concentrates on frontier production. I've been exploring a complementary question: what happens to the capabilities the frontier leaves behind?

Downloadable models can persist after commercial support and meaningful developer control disappear. As inference and adaptation costs decline, some of these systems may become accessible to actors that could not have exploited them at release.

The longer piece develops this through the ideas of capability sedimentation, temporal capability arbitrage and “compute-poor but model-rich” states.

I'm especially interested in whether this should affect how the AI-governance community thinks about model-release decisions and proliferation below the frontier.

https://fabiofrettoli.substack.com/p/the-geopolitics-of-model-graveyards?r=sb1v&utm_campaign=post-expanded-share&utm_medium=web 

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