Mathematician Tristan Buckmaster alleges OpenAI learned of his work with Anthropic's Levent Alpöge on Navier-Stokes and used an internal model to solve it (Joseph Howlett/Scientific American)
A mathematician compared the feat to the history-making chess competition in which IBM's Deep Blue computer beat Garry Kasparov in 1997
Mathematician Tristan Buckmaster claims that OpenAI learned about his work on the Navier-Stokes equations, which he was working on with Levent Alpöge from Anthropic. According to Buckmaster, OpenAI then used an internal model to solve the equations. This feat has been compared to IBM's Deep Blue computer beating Garry Kasparov in a chess competition in 1997, as reported by Scientific American.
OpenAI has recently announced a new model, GPT-6 Astra, which some consider to be a significant step towards artificial general intelligence. This development has raised concerns about cybersecurity and tech regulation.
OpenAI and Anthropic, both of which are reportedly planning initial public offerings, are seeking investment-grade credit ratings. This would allow them to access the corporate bond market and secure cheaper financing for their infrastructure and partners, according to S&P Global Ratings and the Financial Times.
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- OpenAI denies that its researchers or models saw Buckmaster or Alpöge's prompts, says it spent millions in compute after hearing Anthropic had a breakthrough (Wired) wired.com
- ‘Gambling with our lives’: Why a 27-year-old researcher quit Anthropic and OpenAI indianexpress.com
- OpenAI's Sébastien Bubeck says he never asked for removal of Levent Alpöge from authorship of the work Alpöge and Tristan Buckmaster did on Navier-Stokes (Sebastien Bubeck/@sebastienbubeck) x.com
- OpenAI says, while unlikely, it "cannot rule out that de-identified data derived" from Buckmaster's and Alpöge's use of its products helped improve its models (OpenAI) openai.com