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Ben Mann

Anthropic co-founder; co-author of the GPT-3 paper and of Anthropic's RLHF and Constitutional AI papers

Ben Mann is a co-founder of Anthropic. Mann's own site says Mann spent six years as a software engineer at Google, then worked at OpenAI and MIRI before co-founding Anthropic, and that as of 2023 Mann was leading product engineering there. Anthropic's January 2026 announcement of its expanded Labs team, which incubates experimental products at the frontier of Claude's capabilities, said Mike Krieger would join Labs to build alongside Mann, and in October 2026 Anthropic named Mann as the co-founder who signed its memorandum of understanding with Singapore's Ministry of Digital Development and Information. Mann is the second-listed author of "Language Models are Few-Shot Learners" (2020), the GPT-3 paper, and a co-author of Anthropic's 2022 papers on training a helpful and harmless assistant with RLHF and on Constitutional AI.123567

Career

Ben Mann's personal site describes six years as a software engineer at Google, followed by starting a company and then turning to AI safety through work at OpenAI and MIRI. Mann then co-founded Anthropic and, as of 2023, was leading product engineering there.1

Anthropic's January 2026 announcement of an expanded Labs team, focused on incubating experimental products at the edge of Claude's capabilities, said Mike Krieger would join Labs to build alongside Mann. Mann has also represented Anthropic as a co-founder at public events, sharing the opening keynote with Dario Amodei at the Tokyo Builder Summit in October 2025.24

In October 2026 Mann signed a memorandum of understanding between Anthropic and Singapore's Ministry of Digital Development and Information, covering technical exchanges on model evaluation, testing standards and incident response, as Anthropic opened an office in Singapore.3

Research

Mann is the second-listed author, after Tom B. Brown, of "Language Models are Few-Shot Learners" (2020), the paper that introduced GPT-3. At Anthropic, Mann co-authored the 2022 paper on training a helpful and harmless assistant with reinforcement learning from human feedback, and the December 2022 Constitutional AI paper on training harmless assistants from AI feedback guided by a set of principles.567

Work

Career timeline

  1. May 28, 2020

    Second-listed author of "Language Models are Few-Shot Learners", the GPT-3 paper.5

  2. Apr 12, 2022

    Co-authored Anthropic's paper on training a helpful and harmless assistant with RLHF.6

  3. Dec 15, 2022

    Co-authored "Constitutional AI: Harmlessness from AI Feedback".7

  4. 2023

    Leading product engineering at Anthropic, according to Mann's personal site.1

  5. Oct 28, 2025

    Gave the opening keynote with Dario Amodei at Anthropic's Tokyo Builder Summit.4

  6. Jan 13, 2026

    Named in Anthropic's announcement of the expanded Labs team, which Mike Krieger joined to build alongside Mann.2

  7. Oct 14, 2026

    Signed Anthropic's memorandum of understanding with Singapore's Ministry of Digital Development and Information.3

Other documented roles

Roles the sources document but that are not confirmed as current.

  • Worked at OpenAI before co-founding Anthropic; second-listed author of the 2020 GPT-3 paper, OpenAI15
  • Software engineer (six years, per Mann's site), Google1

In the news

USASI news stories that name Ben Mann.

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References · reviewed Oct 21, 2026

  1. 1.
    Ben Mann — personal site (bio section) (external site: benjmann.net)

    Ben Mann · Official page · accessed Oct 21, 2026

  2. 2.
    Introducing Labs (external site: anthropic.com)

    Anthropic · Announcement · published Jan 13, 2026 · accessed Oct 21, 2026

  3. 3.
    Anthropic opens Singapore office and signs MOU with the Government of Singapore (external site: anthropic.com)

    Anthropic · Announcement · published Oct 14, 2026 · accessed Oct 21, 2026

  4. 4.
    Tokyo Builder Summit (speakers list Ben Mann as co-founder, Anthropic) (external site: anthropic.com)

    Anthropic · Official page · published Oct 28, 2025 · accessed Oct 21, 2026

  5. 5.
    Language Models are Few-Shot Learners (arXiv 2005.14165) (external site: arxiv.org)

    arXiv · Paper · published May 28, 2020 · accessed Oct 21, 2026

  6. 6.
  7. 7.
    Constitutional AI: Harmlessness from AI Feedback (arXiv 2212.08073) (external site: arxiv.org)

    arXiv · Paper · published Dec 15, 2022 · accessed Oct 21, 2026

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