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Director of AI Policy and Chief Economist at the Foundation for American Innovation
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Location: Washington, DC
ai-governance (6)
ai-regulation (6)
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policy (5)
regulations (5)
ai-policy (4)
international-relations (3)
ai-safety (2)
gov (2)
law (2)
trade (2)
transparency (2)
ai (1)
china (1)
cybersecurity (1)
defense (1)
Top
New
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Samuel Hammond
votes For
and says:
For too long, the United States has borne the economic and political costs of semiconductor export controls while leaving room for foreign suppliers to free ride, backfill, or slow-roll their alignment. The MATCH Act creates a simple rule: either our...
more AI Verified source (Apr 8, 2026) -
Samuel Hammond
votes For
and says:
Either our allies match our controls on the most important tools and components for advanced semiconductors, or the United States closes the loopholes itself.
AI Verified source (Apr 8, 2026) -
Governments should fund open-source AI safety tools and red-teaming infrastructure as public goods.
69 opinions
Samuel Hammond
votes For
and says:
The Future of Artificial Intelligence Innovation Act gets the federal role in AI policy exactly right. Authorizing the Center for AI Standards and Innovation is key to maintaining the United States’ leadership in Artificial Intelligence. As the feder...
more AI Verified source (Feb 26, 2026) -
Samuel Hammond
votes For
and says:
The Chip Security Act (CSA) is a bipartisan bill that would require high-end AI chips to have the capability to verify their location before being exported. [...] With the confidence that sensitive exports are going to their intended foreign buyers, ...
more AI Verified source (Jul 18, 2025) -
Mandate reporting of AI training runs above 10²⁶ FLOPs to a designated national or international authority
28 opinions
Samuel Hammond
votes For
and says:
to train models beyond a sufficiently high threshold of compute should be required to pre-register training runs [...] a threshold of 10^26 FLOPs would likely suffice.
Unverifiable source (2023) -
Samuel Hammond
votes For
and says:
LLM scaling laws also suggest the computing resources required to train large models are a reasonable proxy for model power and generality. Consistent with our argument for refining the definition of AI systems, the NTIA should thus consider defining...
more AI Verified source (2023)