Researcher Profile

Featured

Dario Amodei

Alignment, post-training, frontier LLMs

Co-founder and CEO at Anthropic

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.

Organizations

Anthropic

Labs

Anthropic

Topics

Post-Training & Alignment Reinforcement Learning

About This Page

This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.

Last reviewed

March 18, 2026

Best First Clicks

Anthropic companyprofile Constitutional AI: Harmlessness from AI Feedbackpaper Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedbackarticle

Official And External Links

OpenAlex ↗

Known For

The ideas, systems, and research directions that make this person worth knowing.

Frontier-model scaling and deployment tradeoffs

Alignment and safe deployment framing

Practical views on capability growth and model behavior

Alignment, post-training, frontier LLMs

Constitutional AI: Harmlessness from AI Feedback

Anthropic

Start Here

Canonical papers, project pages, or repositories that anchor this profile.

Anthropic companyprofile Constitutional AI: Harmlessness from AI Feedbackpaper Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedbackarticle

Signature Works

Additional papers, projects, or repositories that help flesh out the profile.

Deep Reinforcement Learning from Human Preferencespaper OpenAlexprofile

Supporting Sources

Additional links that help verify and flesh out this profile.

Deep Reinforcement Learning from Human Preferencespaper OpenAlexprofile

Related Researchers

People worth exploring next because they share topics, labs, or source material with this profile.

Shared canonical source

Amanda Askell

Alignment, behavior shaping, safety

3 sources

A high-signal researcher for understanding how post-training and behavioral steering become concrete product behavior rather than abstract alignment talk.

Anthropic Post-Training & Alignment Reinforcement Learning

Start HereClaude's Constitution

Shared canonical source

Danny Hernandez

Alignment via AI feedback (Constitutional AI)

5 sources

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.

Anthropic Post-Training & Alignment Evaluation & Benchmarks

Start HereTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Shared canonical source

Kamal Ndousse

Alignment via AI feedback (Constitutional AI)

5 sources

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.

Anthropic Post-Training & Alignment Evaluation & Benchmarks

Start HereTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Shared canonical source

Yuntao Bai

Alignment via AI feedback (Constitutional AI)

4 sources

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.

Anthropic Post-Training & Alignment Reinforcement Learning

Start HereTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

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Jackson Kernion

Alignment via AI feedback (Constitutional AI)

5 sources

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.

Anthropic Post-Training & Alignment Evaluation & Benchmarks

Start HereTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Shared canonical source

Andy Jones

Alignment via AI feedback (Constitutional AI)

4 sources

One of the earlier Anthropic contributors worth tracking if you care about the transition from RLHF-style assistant training into scaling and evaluation work.

Anthropic Post-Training & Alignment Evaluation & Benchmarks

Start HereTraining a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback