PeopleofSuperintelligence

Researcher

Pamela Mishkin

Also known as Pamela Fine Mishkin, manlikemishap

Pamela Mishkin is an AI researcher whose work spans computer vision, language models, 3D generation, multimodal safety and the effects of AI on workers. At OpenAI, she coauthored CLIP, GLIDE, InstructGPT and Point-E, led multimodal-safety work on Codex and DALL-E 2, and later led its economic research team. She coauthored research on language models' effects on U.S. workers and OpenAI's approach to external red teaming, and spoke about labor-market data at India's AI Impact Summit in February 2026. She left OpenAI in May 2026 and said in July 2026 that company usage data were less useful for predicting job loss. Since February 2026, she helps convene the Coalition of Concerned AI Staff, a group chat among friends across frontier labs.

Now at
Coalition of Concerned AI Staff
Works
18
Badges

Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2020–2021

    A GPT-3 essay for The Pudding

    In late July 2020, while working at OpenAI, she gets access to GPT-3 and sets out to make it a conversation partner. The Pudding publishes her essay “Nothing Breaks Like A.I. Heart” in March 2021 with help from GPT-3.

  2. 2021

    CLIP and GLIDE

    In February 2021, she coauthors CLIP, which learns image representations by matching captions with images across 400 million image-text pairs. In December 2021, she coauthors GLIDE, a text-conditional diffusion model whose 3.5 billion parameter samples human evaluators favor over DALL-E's.

  3. 2022

    InstructGPT and Point-E

    In March 2022, she is one of 20 authors of InstructGPT, which fine-tunes GPT-3 with human feedback to follow user intent; evaluators prefer its 1.3B-parameter model's outputs over those from 175B GPT-3. In December 2022, she coauthors Point-E with Alex Nichol, Heewoo Jun, Prafulla Dhariwal and Mark Chen; it creates 3D point clouds from text prompts in one to two minutes on a single GPU, one to two orders of magnitude faster to sample than state-of-the-art methods.

  4. March 2023–October 2024

    GPTs are GPTs and economic research

    With Tyna Eloundou, Sam Manning and Daniel Rock, she coauthors the study “GPTs are GPTs” in March 2023. It estimates that around 80% of U.S. workers could have at least 10% of their tasks affected by LLMs, while approximately 19% could have at least 50% affected. By October 2024, she leads OpenAI's economic research team after leading multimodal-safety work on Codex and DALL-E 2, with a BA from Williams College and an MPhil from the University of Cambridge.

  5. 2025

    OpenAI external red teaming

    In 2025, she coauthors OpenAI's paper on external red teaming, which describes campaign design and how its results can inform risk assessments and automated evaluations.

  6. February 2026

    Labour markets at India's AI summit

    In February 2026, as a researcher at OpenAI, she speaks in the India AI Impact Summit session on AI usage data and labour-market resilience. She warns that waiting for perfect usage data before acting risks being too late, and tells policymakers that a worker's ChatGPT conversation shows only part of the story.

  7. May–July 2026

    Leaving OpenAI's economic research team

    Before leaving OpenAI in May 2026, she serves as a Member of Technical Staff focused on LLM deployment policy, socioeconomic impacts and multimodal models, and leads the economic research team for a time. In July 2026, she tells The Washington Post that internal data AI companies share are less useful for predicting job loss.

  8. Since February 2026

    Coalition of Concerned AI Staff

    Since February 2026, she helps start and convene the Coalition of Concerned AI Staff, a group chat among friends across frontier labs that meets to discuss AI and learn from experts.

Career

  1. Since 2026Coalition of Concerned AI StaffConvener
  2. Until 2026OpenAIMember of Technical Staff

Education

  1. Williams CollegeBA
  2. University of CambridgeMPhil

From the biography.

  1. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Pamela Mishkin. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  2. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes OpenAI. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.
  3. 22 of 133 people shaping AI with a former OpenAI role now work at AnthropicIncludes OpenAI. Our estimates of where OpenAI recruits came from and where 133 people with former OpenAI roles work now, including the companies and labs they founded.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes OpenAI. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Pamela Mishkin yet. Send us a free-licensed photo.

  1. Pamela Mishkin · Longform longform.org. Checked 21 October 2026.
  2. Nothing Breaks Like A.I. Heart pudding.cool. Checked 21 October 2026.
  3. What Would You Do If Your Employer Could Destroy the World? aventure.vc. Checked 21 October 2026.
  4. Learning Transferable Visual Models From Natural Language Supervision arxiv.org. Checked 21 October 2026.
  5. GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models arxiv.org. Checked 21 October 2026.
  6. Training language models to follow instructions with human feedback arxiv.org. Checked 21 October 2026.
  7. Point-E: A System for Generating 3D Point Clouds from Complex Prompts arxiv.org. Checked 21 October 2026.
  8. GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models arxiv.org. Checked 21 October 2026.
  9. New Economy Forum: Fiscal Policy to Broaden the Gains from Gen AI imfconnect.org. Checked 21 October 2026.
  10. OpenAI's Approach to External Red Teaming for AI Models and Systems arxiv.org. Checked 21 October 2026.
  11. Labour Market Resilience in Focus as India AI Impact Summit 2026 Discusses Future of Work in AI Era pib.gov.in. Checked 21 October 2026.
  12. Why tech companies are poaching top economists - Nitasha Tiku jewishworldreview.com. Checked 21 October 2026.
  13. Pamela Mishkin | Speakers | DOKU.TECH 2026 doku.tech. Checked 21 October 2026.