Formal Verification (AI Safety)

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  "dateCreated": "2026-02-15",
  "summary": "Formal verification seeks mathematical proofs of AI safety properties but faces a ~100,000x scale gap between verified systems (~10k parameters) and frontier models (~1.7T parameters). While offering potentially transformative guarantees if achievable, current techniques cannot verify meaningful properties for production AI systems, making this high-risk, long-term research rather than near-term intervention.",
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      "text": "Guaranteed Safe AI framework",
      "url": "https://arxiv.org/abs/2405.06624",
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      "text": "Dalrymple, Bengio et al. (2024)",
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