If you transplant a world class mathematician into a chemistry lab, do you expect similarly ground breaking results? Do you expect a top chemist to make major advances in mathematics?
The frontier labs are likely betting on lay observers (read: investors) confusing headline-grabbing results in abstract mathematics with phenomenal profitability in more grounded endeavours. There is an implicit fallacy that "If our models can solve mathematics they can do everything else."
A "massive amount of AI-powered effort" costs a ton of money. What's the return on investment for these frontier labs? Do headline-grabbing successes in mathematics translate to expected *profitability* in disciplines with more immediately quantifiable economic value.
The scientist allegedly making that request comes from a machine learning background. Perhaps he's not familiar with the culture in mathematics regarding authorship. That sort of squabbling over author priority would be unconscionable to mathematicians.
They're also counting on more casual observers to extrapolate optimistically from successes in high profile math theorems to the company's economic value.
But i don't understand what OAI is offering in the first offer to allow them to believe they can demand that? Not publishing before Tristan? If they really beat Tristan to the publication i would consider it truly morally corrupt conduct so i feel like you can't make an offer like if you give me something i won't be totally corrupt
As an author on the final proof once ready for publication, turning the brewing conflict into "willing" collaborators. Thus solving the potential taint like we are now seeing surrounding their announcement if it became public. But Tristan worked with another collaborator from Anthropic which OpenAI felt would hurt the PR value so wouldn't entertain.
Wouldn't enterprises investing in their own hardware be more likely to buy standard 4-GPU or 8-GPU servers? Apple machines aren't really designed for server racks.
The frontier labs are likely betting on lay observers (read: investors) confusing headline-grabbing results in abstract mathematics with phenomenal profitability in more grounded endeavours. There is an implicit fallacy that "If our models can solve mathematics they can do everything else."
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