2026-09-08 21:15 UTC
"While Buckmaster and Alpöge were finalizing their own results, they learned that “information about our progress had been passed to OpenAI.” When they contacted OpenAI, they were told that OpenAI had already achieved a full proof of the central problem. But when they asked follow-up questions about when OpenAI had begun its research into the problem and how much human input was involved, the answers became more evasive.
“It emerged that an entire team had been working on the problem,” Buckmaster said, “and that an insane amount of compute had been used…. Eventually, it was agreed that [the first prompt] had been sent in the past few days, after information about our work had reached OpenAI.”
If true, that would suggest the OpenAI team had become convinced that Buckmaster and Alpöge’s approach was the right one, and decided to use its material advantage in computing resources to reach a formal proof first."
https://techcrunch.com/2026/09/08/openai-fought-dirty-on-career-making-math-problem-says-nyu-mathematician/
#AI #GenerativeAI #LLMs #OpenAI #Astra #GPT #Math #Mathematics
Replies (2)
-
@remixtures@tldr.nettime.org 2026-09-09 02:00
OK, OpenAI was not transparent. On the other hand, I don't know if people really understand how most scientific and technological advancements occur. Flash news: most supposedly "breakthrough" innovations are just a merge of previous findings in the most appropriate package for the right time. Case in point: bitcoin -> https://queue.acm.org/doi/10.1145/3134434.3136559
-
@MartinEscardo@mathstodon.xyz 2026-09-08 22:07
@remixtures@tldr.nettime.org Interesting business model: you first persuade mathematicians to use your tool, and, when they do, you steel their ideas.