AI safety standards cannot work without better risk evidence
AI companies should publish much more concrete evidence about loss-of-control risk before outsiders try to verify their safety claims. Current claims are too high-level to cleanly confirm or disprove, while alignment benchmarks may be gamed by training. The author argues that shared technical standards, enforced across the industry and internationally, need a clearer picture of what companies do and how well it works.