A good person to follow for the evaluation-heavy side of Anthropic alignment work, especially where early assistant training later feeds into reasoning-faithfulness and model-written testing.
Researcher Profile
Editor reviewedSheer El Showk
Alignment via AI feedback (Constitutional AI)
Contributor to Anthropic's alignment and reasoning-faithfulness work
Worth following for the thread inside Anthropic that connects assistant training to more explicit work on reasoning faithfulness and evaluation.
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Known For
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01
Helpful and harmless assistant training
02
Question decomposition
03
Constitutional AI
04
Alignment via AI feedback (Constitutional AI)
05
Constitutional AI: Harmlessness from AI Feedback
06
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
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Worth tracking for the practical evaluation layer around frontier models, especially where safety claims have to survive contact with real tests and faithful-reasoning checks.
Important for the less visible infrastructure side of Anthropic, especially where pretraining, assistant tuning, and reasoning-faithfulness work meet.
A strong person to follow for how Anthropic moved from assistant training into more explicit evaluation work around model behavior, red-teaming, and chain-of-thought faithfulness.
Worth following for the evaluation side of alignment work, especially where model-written tests and more faithful reasoning traces are used to make model behavior easier to inspect.
A strong person to follow for the evaluation-heavy side of Anthropic, especially where behavior discovery, reasoning faithfulness, and concrete safety testing come together.