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OpenAI tells NYT it may have solved a second millennium prize problem
| mint wonderful karate parlour | 09/10/26 |
| Lemon Excitant Fanboi Point | 09/10/26 |
| mint wonderful karate parlour | 09/10/26 |
| Cowardly electric background story | 09/10/26 |
| Cowardly electric background story | 09/10/26 |
| Contagious Business Firm | 09/10/26 |
| mint wonderful karate parlour | 09/10/26 |
| iridescent cracking codepig space | 09/10/26 |
Poast new message in this thread
Date: September 10th, 2026 12:45 PM Author: mint wonderful karate parlour OpenAI confirmed to the New York Times that they have made "substantial progress" on another Millennium Prize problem in the last five days, and are preparing to announce.
https://x.com/andrewcurran_/status/2098083604853342688
https://archive.is/20260910142243/https://www.nytimes.com/2026/09/10/science/tristan-buckmaster-openai-math-navier-stokes.html |
Date: September 10th, 2026 12:48 PM Author: Lemon Excitant Fanboi Point Someone named “Dr. Buckmaster” deserves to solve it (https://xoxohth.com/thread.php?thread_id=5902277&forum_id=2#50126919) |
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Date: September 10th, 2026 2:38 PM Author: mint wonderful karate parlour that’s old news, this is a different Millennium Prize problem (https://xoxohth.com/thread.php?thread_id=5902277&forum_id=2#50127321) |
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Date: September 10th, 2026 2:45 PM Author: Cowardly electric background story Is OpenAI saying he deserves no credit? Or is that just something you just made up? (https://xoxohth.com/thread.php?thread_id=5902277&forum_id=2#50127341) |
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Date: September 10th, 2026 7:37 PM Author: Cowardly electric background story Anyone? (https://xoxohth.com/thread.php?thread_id=5902277&forum_id=2#50128056) |
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Date: September 10th, 2026 4:06 PM Author: Contagious Business Firm He is my cousin. Not flame. (https://xoxohth.com/thread.php?thread_id=5902277&forum_id=2#50127539) |
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Date: September 10th, 2026 7:18 PM Author: mint wonderful karate parlour You the black sheep of the family? (https://xoxohth.com/thread.php?thread_id=5902277&forum_id=2#50128009) |
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Date: September 10th, 2026 7:48 PM Author: iridescent cracking codepig space The transition to recurrent/looped LLMs likely allows them to rapidly scale up model capabilities without much additional training. The reason being that they can take a model with a certain number of looped layers and fine tune it for a larger number of loops without full retraining. Just stack more of the same layers, lightly retrain and model capability shoots up. This is mostly a curiosity (because of higher inference costs) but it allows the extremely rapid improvement from Astra to this model. Very deep looped LLMs could be useful if they want to automate AI research and kick off recursive self improvement soon. (https://xoxohth.com/thread.php?thread_id=5902277&forum_id=2#50128073) |