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Scientific Research

Public disputes concerning scientific research, research methods, authorship, credit, collaboration, publication, and research conduct.

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Case

Did OpenAI improperly pressure mathematicians over authorship and credit?

Tristan Buckmaster describes pressure over authorship and publication during discussions about competing AI-assisted mathematics results. Sébastien Bubeck disputes that characterization and says the proposed authorship concerned OpenAI's own proof. His apology for career-related wording does not settle the disagreement. Researchers and commentators divide over whether the negotiations were appropriate, while raising a separate dispute about the treatment of unpublished user research.

Statements

Andreas Thom

Role at the time: Mathematician describing his own experience and ethical concerns in a personal public post

Challenged the characterization

Responding to

Did OpenAI improperly pressure mathematicians over authorship and credit?

"De-identification may remove a name; it does not remove the intellectual content of a mathematical idea."
Why we used this label

He questions the sufficiency and transparency of OpenAI's account while presenting the ethical objection conditionally. This is adjacent firsthand context, not proof of theft or misconduct in the Buckmaster authorship dispute.

Mark Chen

Role at the time: OpenAI researcher explaining the company's process on his account

Challenged the characterization

Responding to

OpenAI says its researchers and agents did not access Buckmaster and Alpöge's unpublished work for the project.

"Did any human or agent look at user data as part of the Navier Stokes effort? No."
Why we used this label

Narrow factual counter-position; does not eliminate the company's caveat about general training data.

Sébastien Bubeck

Role at the time: OpenAI participant replying directly to Alpöge

Challenged the characterization

Responding to

Alpöge says his exclusion appeared to be a settled condition of the proposed collaboration.

"nothing at all was locked"
Why we used this label

Direct denial of the characterization that the outcome was predetermined.

Samuel Davenport

Role at the time: Personal public response to Bubeck

Challenged the characterization

Responding to

Bubeck says the disputed authorship proposal concerned a rewrite of OpenAI's proof, not removing Alpöge from his own work.

"That is clearly contradictory."
Why we used this label

Challenges the coherence of the credit explanation, not the mathematical proof.

Sébastien Bubeck

Role at the time: OpenAI participant giving his firsthand account

Challenged the characterization

Responding to

Bubeck says the disputed authorship proposal concerned a rewrite of OpenAI's proof, not removing Alpöge from his own work.

"I never ever asked for Levent to be removed from authorship of his own work"
Why we used this label

Direct counter-characterization, with a limited apology rather than a withdrawal of his defense.

OpenAI

Role at the time: Company publication

Challenged the characterization

Responding to

OpenAI says its researchers and agents did not access Buckmaster and Alpöge's unpublished work for the project.

"no specific user data was accessed in order to solve this problem."
Why we used this label

Official denial with an express limitation, not a blanket statement that user interactions never affected training.

People with useful coverage

Andreas Thom

Andreas Thom is a mathematician at Technische Universität Dresden. His research spans geometric group theory, real algebraic geometry, algebraic topology, ergodic theory, and operator algebras. He also participates in public discussions about mathematical research and scientific practice.

1 case and 1 statement

Peter Woit

Senior lecturer in mathematics at Columbia University and author of the book Not Even Wrong.

1 case and 1 statement

Mark Chen

Chief research officer at OpenAI, overseeing research in language models, reinforcement learning and multimodal AI.

1 case and 1 statement

Nan Jiang

Associate professor of computer science at the University of Illinois Urbana-Champaign, researching the theoretical foundations of reinforcement learning.

1 case and 1 statement

Andreas Kirsch

Research scientist at Google DeepMind working on agentic language models, with a doctorate in machine learning from the University of Oxford.

1 case and 1 statement

Sébastien Bubeck

AI researcher at OpenAI and former vice president of AI and distinguished scientist at Microsoft.

1 case and 2 statements

Sam Altman

Co-founder and chief executive of OpenAI, and former president of the startup accelerator Y Combinator.

1 case and 1 statement

Levent Alpöge

Mathematician and AI researcher at Anthropic.

1 case and 1 statement

Samuel Davenport

Statistics researcher developing methods for neuroimaging, genetics and large language models.

1 case and 1 statement

Anshul Kundaje

Associate professor of genetics and computer science at Stanford University.

1 case and 1 statement

Will Depue

AI researcher who contributed to OpenAI's Sora video models and the post-training of ChatGPT models.

1 case and 1 statement

Thomas Wolf

AI researcher, co-founder and chief science officer of Hugging Face, working on open-source AI and scientific research.

1 case and 1 statement

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