Tom Brown
Anthropic co-founder and Chief Compute Officer; first author of the GPT-3 paper
Tom Brown co-founded Anthropic and is its Chief Compute Officer; Brown heads the technical organization that secures, scales and uses the company's compute. According to Anthropic's leadership page, Brown previously led the engineering of GPT-3 at OpenAI and, with Dario Amodei, co-invented deep reinforcement learning from human feedback. Brown is first author of "Language Models are Few-Shot Learners" (2020), the GPT-3 paper written with an OpenAI affiliation, and a co-author of the 2017 paper "Deep reinforcement learning from human preferences" and of Anthropic's Constitutional AI paper.1234
Work
GPT-3 (external site: arxiv.org)Published research
Equal-contribution first author of "Language Models are Few-Shot Learners" (2020), which trains the 175-billion-parameter GPT-3 model and studies its few-shot performance.2
Deep reinforcement learning from human preferences (external site: arxiv.org)Published research
Co-author, as Tom B. Brown, of the 2017 paper on learning reward functions from human preferences between trajectory segments; Anthropic's leadership page credits Brown and Dario Amodei with co-inventing deep RLHF.31
Constitutional AI (external site: arxiv.org)Published research
Co-author of "Constitutional AI: Harmlessness from AI Feedback" (2022).4
Other documented roles
Roles the sources document but that are not confirmed as current.
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