An NYU professor says OpenAI's mass release of math papers wiped out early-career researchers' projects
NYU professor Tristan Buckmaster claims that OpenAI's recent release of 700 mathematical proofs has rendered early-career research projects obsolete. Academics are expressing concern over the impact of AI-driven data dumps on collaborative research norms and the potential use of unpublished work in AI training.
Why it matters
The incident raises ethical questions about how AI companies interact with academic communities and whether rapid AI progress threatens the viability of human-led scientific research.
Tristan Buckmaster, a NYU math professor, said OpenAI's math dump wiped out entire early-career research programs. Karsten Moran / For The Washington Post via Getty Images OpenAI solved over 700 math problems and released the data on GitHub earlier this week. An NYU math professor said the release wiped out early-career research programs. Mathematicians raised questions over whether their unpublished data had been used to train AI. OpenAI’s latest math release has some academics celebrating breakthroughs and others wondering what happens to the researchers who were still working toward them. Tristan Buckmaster, a mathematics professor at New York University, told CNBC's "Squawk Box" on Thursday that the company’s release had upended work by early-career mathematicians. “So we've had whole research programs wiped out on Tuesday by their dump,” Buckmaster said.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in