elvis· @omarsar0 · X·· 2 小时前AI 评分56
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Deep Principle 推出首个开源权重科研模型 Hydrogen-1.0，基于 GLM-5.3 用其内部科学数据、实验记录和发现轨迹做后训练。该模型在 FrontierScience-Research 上得分 38.3%，高于 GPT-6-Astra 的 33.3%，在 GPQA-Diamonds 上得分 93.0%。Elvis Saravia 认为专用模型在科研场景会更重要，并称需要更多这类工作。
正文
This is brilliant. Finally, we have a strong new open model for science.
As I said before, nothing beats a specialized model, and I think this will be even more important for science.
Hydrogen-1.0 is Deep Principle's first open-weight model for scientific research. They post-trained GLM-5.3 on their own scientific data, lab records, and discovery trajectories.
They report 38.3% on FrontierScience-Research, compared with 33.3% for GPT-6-Astra.
We need more of this.
We’re introducing Hydrogen-1.0, our first open-weight model for scientific research. We post-trained GLM-5.3 (@Zai_org) on our internal scientific data, lab records, and discovery trajectories. It scores 38.3% on FrontierScience-Research vs GPT-6-Astra’s 33.3% and scores 93.0% on GPQA-Diamonds. We believe science should be open, collaborative, and democratized, rather than proprietary. Only open weights let researchers inspect, adapt and build on the unprecedented speed of AI growth. There are many recent models named by chemical elements, but we believe Hydrogen-1.0 is the first aiming towards and open scientific superintelligence for discovery. 🧵在 X 查看被引用的帖子
来源：elvis · x.com