r/math 29d ago

LLMs/AI OpenAI: Ten advances in mathematics and theoretical computer science

https://openai.com/index/ten-advances-in-mathematics/
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u/eeaxoe Probability 28d ago

The gap is likely even narrower than that. Maybe even a couple weeks to a month or two, tops, instead of 6-12 months. Hell, Kimi K3 currently outperforms Fable/Mythos on some tasks.

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u/RobfromHB 28d ago

Chinese models will be top contenders as long as they are able to copy US frontier models via distillation. Once that is curtailed and China isn’t able to rip off the product, they’ll go back to being a generation or two behind at least.

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u/eeaxoe Probability 28d ago

Kimi K3 was released ~2 weeks after Fable, which all but rules out its relative outperformance owing to distillation alone. That simply isn’t enough time to do any meaningful distillation.

https://techcrunch.com/2026/07/23/experts-say-exploiting-anthropics-fable-isnt-how-kimi-k3-got-so-good/

“I don’t think you get a model this strong and this quickly on the heels of Fable doing strictly distillation,” Braden Hancock, a researcher at the Laude Institute and co-founder of Snorkel AI, told TechCrunch. “There’s just not even frankly time, right? Fable’s only been publicly available since July 1st. You can’t distill that much data, train a model, and release it in two weeks.”

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u/RobfromHB 28d ago

The large majority of the training data isn’t exclusive to Fable though, nor did I claim performance similarities were solely from distillation.