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

Li Gan · 2026 · SSRN Electronic Journal

DOI: 10.2139/ssrn.7607580 · cited by 0 works (OpenAlex) · open-access PDF

Indonesian

Dapatkah regulator menjanjikan ambang batas risiko dan batas waktu pengembangan ketika produktivitas keamanan tidak diketahui? Batang batas di bawah bahaya yang tidak dilindungi dari model akhir membutuhkan stok minimal pengetahuan keamanan, sehingga keduanya menjanjikan hanya jika penelitian yang lemah dapat dikecualikan. Belajar pertama dan kemudian memainkan pengembangan, dengan komputasi cadangan dalam keamanan, mendekati minimum itu. Dalam kalibrasi dengan hanya risiko negara, hasil keamanan konstan, dan transfer pengetahuan penuh, itu hanya membutuhkan produktivitas 3,3 persen lebih banyak dari batas yang diperlukan. layanan pelanggan membayar untuk jaminan.

Machine translation (Meta M2M100); the English original follows.

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

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Topics: Ceiling (cloud), Productivity, Spare part, Stock (firearms), Business, Actuarial science

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