AI Safety Solution Cruxes

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  "summary": "A comprehensive structured mapping of AI safety solution uncertainties across technical, alignment, governance, and agentic domains, using probability-weighted crux frameworks with specific estimates (e.g., verification-generation arms race ~70% likelihood, lab coordination without regulation only 20-35% likely). The content synthesizes 2024-2025 research (MARS, VeriStruct, deliberative alignment, instruction hierarchy, unlearning mirage) into decision-relevant frameworks, concluding that most core alignment challenges remain unsolved and that pre-deployment evaluation is more reliable than post-hoc capability removal.",
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      "title": "Auto-improve (standard): AI Safety Solution Cruxes",
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No external links