A high-signal figure for understanding the frontier model era because his work sits at the intersection of scaling, post-training, and deployment-risk framing.
Researcher Profile
FeaturedAmanda Askell
Alignment, behavior shaping, safety
Researcher at Anthropic
A high-signal researcher for understanding how post-training and behavioral steering become concrete product behavior rather than abstract alignment talk.
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Last reviewed
March 18, 2026
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01
Behavior shaping in large models
02
Alignment and post-training practice
03
Practical model steering tradeoffs
04
Alignment, behavior shaping, safety
05
Constitutional AI: Harmlessness from AI Feedback
06
Anthropic
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Related Researchers
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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 Anthropic’s alignment program, especially where model-written tests and public-input methods become practical tooling rather than just ideas.
Important for understanding how Anthropic’s assistant-training stack evolved from early RLHF into Constitutional AI and later robustness work around jailbreaks and behavior control.
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.
One of the earlier Anthropic contributors worth tracking if you care about the transition from RLHF-style assistant training into scaling and evaluation work.