PeopleofSuperintelligence

Researcher

Girish Sastry

Girish Sastry is a researcher whose work covers language models and AI governance. He co-authored 'Language Models are Few-Shot Learners', which NeurIPS named an Outstanding Paper in 2020. A 2023 paper on language models and influence operations listed OpenAI as his affiliation, and a 2024 paper on computing power and AI governance named him one of three corresponding authors. He was among the authors of the International AI Safety Reports of 2025 and 2026. As of October 2026, he is listed as independent in the 2026 report's contributor list.

Works
17

Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. May 2020

    Few-shot language models

    He co-authors 'Language Models are Few-Shot Learners', submitted to arXiv in May 2020, and NeurIPS names it an Outstanding Paper in 2020.

  2. January 2023

    Language models and influence operations

    He co-authors a paper on language models and influence operations, submitted to arXiv in January 2023, with OpenAI as his affiliation.

  3. February 2024

    Computing power and governance

    He is one of three corresponding authors of 'Computing Power and the Governance of Artificial Intelligence', which appears on arXiv in February 2024.

  4. January 2025

    The inaugural AI safety report

    He is one of the named authors of the inaugural International AI Safety Report, published in January 2025.

  5. April 2025

    A primer on internal deployment

    He co-authors 'AI Behind Closed Doors: a Primer on The Governance of Internal Deployment', submitted to arXiv in April 2025, and he is listed as independent.

  6. February 2026

    The second AI safety report

    The second International AI Safety Report, published in February 2026, names him among its authors.

  7. As of October 2026

    Listed as independent

    He is listed as independent among the contributors to the second International AI Safety Report, published in February 2026.

Sources and credits

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  1. [2005.14165] Language Models are Few-Shot Learners arxiv.org. Checked 14 October 2026.
  2. NeurIPS 2020 Awards neurips.cc. Checked 14 October 2026.
  3. [2301.04246] Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations arxiv.org. Checked 14 October 2026.
  4. Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations ar5iv.labs.arxiv.org. Checked 14 October 2026.
  5. [2402.08797] Computing Power and the Governance of Artificial Intelligence arxiv.org. Checked 14 October 2026.
  6. Computing Power and the Governance of Artificial Intelligence arxiv.org. Checked 14 October 2026.
  7. International AI Safety Report 2025 internationalaisafetyreport.org. Checked 14 October 2026.
  8. [2501.17805] International AI Safety Report arxiv.org. Checked 14 October 2026.
  9. [2504.12170] AI Behind Closed Doors: a Primer on The Governance of Internal Deployment arxiv.org. Checked 14 October 2026.
  10. AI Behind Closed Doors: a Primer on The Governance of Internal Deployment arxiv.org. Checked 14 October 2026.
  11. International AI Safety Report 2026 internationalaisafetyreport.org. Checked 14 October 2026.
  12. [2602.21012] International AI Safety Report 2026 arxiv.org. Checked 14 October 2026.