Researcher · Policy
Girish Sastry
Current role not listed
Sastry helped develop proposals for governing AI through access to computing power, a measurable bottleneck in building advanced models.[1] He also co-authored research on AI-driven influence operations[2] and the GPT-3 paper[3], connecting technical model development with questions of oversight and misuse.
Career & education
OpenAI2019-2024
Coefficient Giving2018-present
Yale UniversityWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Language Models are Few-Shot Learners
With Tom Brown, Ben Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan and others ·GPT-3 performs tasks from prompts and a few examples without task-specific training.
Learning Transferable Visual Models From Natural Language Supervision
With Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Amanda Askell and others ·CLIP learns from image-caption pairs to recognize categories described in words.
GPT-4 Technical Report
With OpenAI, Joshua Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman and others ·Reported GPT-4's capabilities, limitations and safety evaluations as a text-and-image input model.
References
- Computing Power and the Governance of Artificial Intelligencearxiv.org
Lead-authored framework discusses compute visibility, allocation and enforcement, alongside risks.
- Generative Language Models and Automated Influence Operationsarxiv.org
Original coauthored threats and mitigation report.
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Reviewed July 23, 2026 · Checked for accuracy and new information.