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Samuel Hammond
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ai-regulation (2)
policy (2)
regulations (2)
transparency (2)
ai-governance (1)
ai-policy (1)
ai-safety (1)
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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 Unverified source (2023) -
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. Unverified source (2023)