OpenAI
Google
Machine Intelligence Research Institute
Shan CarterInterpretability Team Manager · AnthropicResearcher↗
Researcher · Founder · Engineer
Ben Mann
AnthropicCo-founder and Member of Technical Staff
Mann helped build GPT-3[1] before co-founding Anthropic. He later contributed to research that trains assistants from human preferences so they become more helpful and less harmful, as well as work examining how repeated training data changes what large models memorize and generalize.
Career & education
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations124,907As of Nov 1, '26
citations+4,524Since last snapshot, Oct 1, '26
Selected contributions
Language Models are Few-Shot Learners
With Tom Brown, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam and others ·GPT-3 performs tasks from prompts and a few examples without task-specific training.
Constitutional AI: Harmlessness from AI Feedback
With Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen and others ·Trained AI assistants to critique and improve their answers using a written set of principles.
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
With Yuntao Bai, Andy L. Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain and others ·Training AI assistants to be more helpful and less harmful using human feedback.
References
- Language Models are Few-Shot Learnersarxiv.org
Original GPT-3 paper lists Benjamin Mann as a coauthor and describes the model and its training. Supports the GPT-3 contribution clause, not subsequent Anthropic founding.
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Reviewed August 7, 2026 · Checked for accuracy and new information.
