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 reviewedJoshua Landau
Alignment via AI feedback (Constitutional AI)
Alignment and evaluation researcher at Anthropic
Useful for the evaluation-heavy side of Anthropic’s research, especially where the lab moved from RLHF and Constitutional AI into broader behavior discovery.
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Known For
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01
Constitutional AI
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Model-written evaluations
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Assistant-alignment evaluation
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Alignment via AI feedback (Constitutional AI)
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Constitutional AI: Harmlessness from AI Feedback
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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
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Useful for the seam between Anthropic’s earlier alignment papers and its later audit-oriented safety work, where interpretability and evaluation start feeding into deployment practice.
One of the earlier Anthropic contributors worth tracking for the path from RLHF assistant training into Constitutional AI and later model evaluation work.
Useful for the arc from early RLHF assistant work into the later evaluation-heavy safety layer Anthropic built on top of it.
A useful profile for the operational side of alignment work, especially where RL systems and evaluation loops have to be robust enough to support day-to-day model development.
A good profile for the less public part of frontier-model progress, where pretraining quality, evaluation loops, and systems choices do a lot of the real work.