|
|
|
|
|
by HarHarVeryFunny
2 hours ago
|
|
I feel like this kind of "result dump" just cheapens mathematics. How about having a little respect for those whose work this builds on, and current mathematicians some of who may have spent years working on these problems. Rather than sitting on these results until they had enough for a "shock and awe" 10-result dump, how about releasing these results individually as they were made/verified, as well as the failures (equally valuable to assess the current capabilities of LLMs), and try to make some analysis of HOW these breakthrough results were made. What were the prompts for each of these, how much guidance was there from the mathematicians employed by OpenAI, and most importantly how did the model arrive at these results ... what lines of reasoning resulted it in exploring ideas that humans had previously not explored? |
|
Where were all the mathematicians and academics in general when “regular joe” was automated? Now it’s hitting close to home and their foreheads are starting to get sweaty. I’d say let them. Tough luck. Make mathematics as “cheap” as possible. Nobody owes them any favors.
Let’s commoditize “being smart” and let go of arbitrary divisions between us.