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Gradient Dissent · January 20, 2026 · 55m
Axiom: AI Verification for High-Stakes Systems
Axiom CEO Carina Hong explains why verification is becoming the real bottleneck in high-stakes AI systems.
This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.
Canon
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Hong argues that AI systems are only as trustworthy as their verification environments. Rigorous testing environments produce trustworthy AI; lax testing environments produce dangerous AI.
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AI systems that have not been rigorously verified present a false self of reliability. Their confident outputs mask unknown failure modes that only emerge in production.
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