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Periodic 用实验室数据训出超越 Astra 的模型

Periodic 称用自建实验室数据训练万亿参数模型,在关键科学分析任务上超过 GPT-6 Astra。

Sarah Wang
@sarahdingwang2026.09.16收录原推发布于 2026.09.16
Periodic 用实验室数据训出超越 Astra 的模型
Sarah Wang @sarahdingwang原推发布于 2026.09.16
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Congrats @LiamFedus @ekindogus and the entire Periodic team! Amazing to see these results and even more amazing to see the lab they’ve built in person. Their thesis on real world lab data already seeing major impact: “Periodic Neon is an early example: using our lab data, we trained a trillion-parameter model that outperforms GPT-6 Astra on a critical scientific analysis task using relatively little compute. As we scale our labs and compute, we expect AI trained on our lab data to tackle increasingly complex scientific problems”

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」

x.com/sarahdingwang/status/2099917763712254077采集于 2026.09.16 10:18