Sam Altman 称内部模型超越顶尖数学家,引发争议
And yet so far as I know not one new actual mathematical insight What this really reveals is that ...
朋友说,Sam Altman 又在吹牛了,说他们内部模型比顶尖数学家还强,这和之前说的 GPT 5.6 能达到顶尖数学教授水平是不同的。
Sam Altman 在与 Salesforce CEO 的对话中提到,其内部模型(Astra 之后)能解决世界顶尖数学家无法解决的问题。他称 GPT 5.5 的数学能力相当于普通教授水平,5.6 达到顶尖 1-2% 数学教授水平,而 Astra 稍强于此,新模型则更强。
And yet so far as I know not one new actual mathematical insight What this really reveals is that ...
And yet so far as I know not one new actual mathematical insight What this really reveals is that Altman doesn’t know the first thing about math. Math is, as Terence Tao has pointed out repeatedly, not just about the kind of challenges that current models can solve with brute force, but coming up with new ways of understanding math. AFAIK current systems haven’t done that. Moreover what they have done in math – where they rely on symbolic verification tools – probably doesn’t generalize all that well to the rest of the life. Altman doesn’t want you think about that, either. Rohan Paul @rohanpaul_ai Sam Altman just said an internal post-Astra model can solve things the world's best mathematicians cannot. in his conversation with Mark Benioff (co-founder and CEO of Salesforce) "GPT 5.5 was maybe as good as like an average math professor. 5.6 was as good as like a maybe top one or two percentile math professor. Astra was a little bit better than that. And then this internal model past Astra is one that can do things that the best mathematicians in the world cannot." ---- From "Salesforce" YouTube channel, (full video link in comment) Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 2 🔄 1 ❤️ 9 👀 1781 📊 3 ⚡