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Risk Ceilings and Development Deadlines: Pacing AI under Uncertain Safety Productivity

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  • Li Gan

Abstract

Can a regulator promise both a risk ceiling and a development deadline when safety productivity is unknown? A ceiling below the final model's unprotected hazard requires a minimum stock of safety knowledge, so both promises hold only if weak research can be ruled out. Learning first and then replaying development, with spare compute in safety, comes close to that minimum. In a calibration with only state risk, constant safety yield, and full knowledge transfer, it needs only 3.3 percent more productivity than the necessary bound. Customer services pay for the guarantee. Rules that fix compute allocation fix dates, not risk.

Suggested Citation

  • Li Gan, 2026. "Risk Ceilings and Development Deadlines: Pacing AI under Uncertain Safety Productivity," Papers 2610.11093, arXiv.org, revised Oct 2026.
  • Handle: RePEc:arx:papers:2610.11093
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    References listed on IDEAS

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