湿实验数据训出的专用模型在科研任务上超过 GPT-6 Astra

Jason Wei @_jasonwei原推发布于 2026.09.16

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very cool result showing how wet lab data enables a specialized model to beat gpt-6 astra at a task at the frontier of science! in general scaling is great and obviously i am a believer in it, but probably the more we approach the frontier of science, the more specialized data matters and that gives task-specific models a chance. this specialized data is usually private and is probably a real moat it should be in principle true that a task specific model will probably do better at scientific discovery just because it can use more of its parameters for the task you care about

这条是引用着另一条写的：「OpenAI 用 1300 张 H200 训出超越 GPT-6 Astra 的材料模型 Neon」