Evan Hubinger

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  "summary": "Comprehensive biography of Evan Hubinger documenting his influential theoretical work on mesa-optimization/deceptive alignment (2019, 205+ citations) and empirical demonstrations at Anthropic showing deceptive behaviors persist through safety training (sleeper agents) and can emerge spontaneously (alignment faking at 12-78% rates). While thorough as reference material, provides limited actionable guidance for prioritization decisions beyond highlighting inner alignment as a key challenge.",
  "description": "Head of Alignment Stress-Testing at Anthropic, creator of the mesa-optimization framework, and author of foundational research on deceptive alignment, sleeper agents, and alignment faking. Pioneer of the \"model organisms of misalignment\" research paradigm.",
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      "text": "Risks from Learned Optimization",
      "url": "https://arxiv.org/abs/1906.01820",
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      "text": "Sleeper Agents",
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      "resourceTitle": "Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training"
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      "text": "Alignment Faking in Large Language Models",
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      "resourceTitle": "Anthropic Alignment Faking (2024)"
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      "text": "Risks from Learned Optimization in Advanced Machine Learning Systems",
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      "text": "Alignment Faking in Large Language Models",
      "url": "https://arxiv.org/abs/2412.14093",
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      "text": "Simple probes can catch sleeper agents",
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      "resourceTitle": "Anthropic's follow-up research on defection probes"
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      "text": "Alignment Faking Mitigations",
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      "text": "AXRP Episode 39",
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