One of the clearest people to study for the early OpenAI RLHF stack, especially where human feedback moved from summarization experiments into general instruction-following systems.
Researcher Profile
Editor reviewedJacob Hilton
Instruction-following via RLHF (InstructGPT)
President at Alignment Research Center
A high-signal person to follow for the evaluation and verification side of alignment, especially where language models are pushed to produce answers that can actually be checked rather than merely sounding plausible.
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Last reviewed
March 18, 2026
Known For
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01
Alignment Research Center
02
WebGPT
03
Verifier-style and truthfulness-oriented evaluation
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Instruction-following via RLHF (InstructGPT)
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Training language models to follow instructions with human feedback
06
OpenAI
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Related Researchers
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A useful person to follow for the OpenAI thread that runs from dexterous robotics into later evaluation and capability-measurement work on large language models.
Important for the product-and-systems side of OpenAI because his work spans the lab’s robotics era and later instruction-following language-model work.
A good person to follow if you care about what deployment-minded safety work looks like inside a frontier lab, especially around moderation, image systems, and system-card style evaluation.
Co-authored the InstructGPT paper that set the standard instruction-tuning + RLHF recipe.
A useful person to follow for the connection between classic multi-agent RL and the human-feedback work that later fed into OpenAI’s instruction-following systems.