Quantum computing researcher and Chair of CS at the UTexas at Austin: “I’m told that the AI companies, having been burned by the hostile response to the Navier-Stokes proof, are now sitting on solutions to some very major problems until they figure out a better way to handle things”
Summary
Scott Aaronson reports that AI companies are withholding solutions to major problems due to concerns about public response, following backlash over the Navier-Stokes proof.
Similar Articles
Scott Aaronson writes on his blog tonight that he has heard rumors that the AI companies have reached solutions to some very longstanding open problems in theoretical computer science, and are now sitting on multiple major announcements because of the Navier-Stokes firestorm.
Scott Aaronson reports rumors that AI companies, possibly OpenAI, have made significant progress on solving longstanding open problems in theoretical computer science but are holding off on announcements due to recent controversies.
Scott Aaronson says that labs, "having been burned by the hostile response to the Navier-Stokes proof, are now sitting on solutions to some very major problems until they figure out a better way to handle things"
Scott Aaronson discusses the rapid progress in AI, particularly in solving major mathematical problems, and argues that the Singularity has already started, causing uncertainty about the future.
OpenAI Just Claimed a Huge Math Discovery. Some Academics Are Crying Foul
OpenAI claims to have found an AI-generated solution to the Navier-Stokes equation, a 200-year-old mathematical problem, but academics are disputing the credit and accusing OpenAI of rushing ahead after learning of their work.
OpenAI just wants to win
OpenAI claimed a solution to the Navier-Stokes Millennium Prize problem, sparking controversy among mathematicians over its competitive methods and impact on academic research.
OpenAI’s sly mathematical breakthrough sends a chill through academia
OpenAI claimed its unreleased AI model solved the Navier-Stokes Millennium Prize problem in 88 hours, but the announcement has sparked controversy over academic norms and potential data usage.