When liability for unverified failures approaches zero, verification budgets collapse and deployers flood systems with unmonitored agents while socializing catastrophic risks.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• Strong liability enforcement could help the AI debate by holding people liable for rogue agent swarms, jailbroken weakly protected models, and weakly protected OSS models they serve. NRNaval Ravikant13 Sept 2026similar wording
• Frontier AI systems cannot be presumed safe unless proven unsafe; developers must bear the burden of proof that risks stay within acceptable limits. YBYoshua Bengio26 Oct 2023similar wording
• Nobody can drive the billions of representative miles that would prove a self-driving system safe before deploying it, so deployment always precedes proof. PKPhilip Koopman25 Nov 2020similar wording
• Alignment failures that matter will not show up at safe capability levels, because the reason to hide misbehaviour only exists once hiding it pays. EYEliezer Yudkowsky10 Jun 2022similar wording
• A control evaluation that reports under one per cent risk should be read as several per cent, because the evaluation can itself fail. BSBuck Shlegeris7 May 2024similar wording

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