Researcher · Engineer
Scott Gray
Current role not listed
Career & education
OpenAI2016-Aug 2026
University of Illinois Urbana-ChampaignWork 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.
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.
Zero-Shot Text-to-Image Generation
With Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Chelsea Sierra Voss, Alec Radford, Mark Chen and Ilya SutskeverIntroduced the original DALL·E, which generates images from written descriptions. It used one Transformer to learn from text and images together and could combine concepts in novel ways without retraining for each task. Published at ICML 2021.
References
- GPU Kernels for Block-Sparse Weightscdn.openai.com
Original Gray/Radford/Kingma paper explains block-sparse kernels and substantial speedups.
- GPT-4o contributionsopenai.com
Official GPT-4o credits name Gray among contributors; no specific leadership asserted.
- Scott Gray — Bluesky profilebsky.app
Live profile: Currently independent. Exploring some neuro-inspired AI approaches. Former GPU geek at @OpenAI.
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Reviewed August 24, 2026 · Checked for accuracy and new information.