Nick Ryder
Nick Ryder is VP of Research at OpenAI, where they lead data and scaling research. From 2014 to 2019 they studied mathematics as a PhD candidate at UC Berkeley, advised by Nikhil Srivastava. In May 2020 they co-authored Language Models are Few-Shot Learners, a paper that NeurIPS named an Outstanding Paper in 2020. In July 2021 they contributed to Evaluating Large Language Models Trained on Code. In December 2024, OpenAI filed a court declaration from them, which said two Internet-based book corpora were used to train GPT-3 and GPT-3.5.
Timeline
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2014–2019
A mathematics PhD at Berkeley
They study mathematics as a PhD candidate at UC Berkeley from 2014 to 2019, advised by Nikhil Srivastava.
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May 2020
The few-shot learners paper
They co-author Language Models are Few-Shot Learners, posted to arXiv in May 2020.
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2020
An outstanding paper at NeurIPS
In 2020 NeurIPS names Language Models are Few-Shot Learners an Outstanding Paper, with them among its authors.
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July 2021
Evaluating models trained on code
They contribute to Evaluating Large Language Models Trained on Code, posted to arXiv in July 2021.
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December 2024
A court declaration on training data
In December 2024, OpenAI files a court declaration from them, which says two Internet-based book corpora were used to train GPT-3 and GPT-3.5.
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Since 2024
VP of Research at OpenAI
From 2024 they lead data and scaling research as VP of Research at OpenAI.
Sources and credits
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- Nick Ryder | alphaXiv
- [2005.14165] Language Models are Few-Shot Learners
- NeurIPS 2020 Awards
- [2107.03374] Evaluating Large Language Models Trained on Code
- Nick Ryder, VP of Research, Foundations OpenAI, says: 2 Internet-based books corpora were used to train GPT 3, 3.5, but not “any subsequent OpenAI GPT model” – Chat GPT Is Eating the World