Deep Principle 发布开源科学模型 Hydrogen-1.0
Deep Principle 用自家实验数据把 GLM-5.3 调成了科研特化模型，FrontierScience-Research 上超过 GPT-6-Astra，权重还开源，做科研的可以关注。
Deep Principle 发布其首个开源权重科研模型 Hydrogen-1.0。团队基于智谱的 GLM-5.3，用内部科学数据、实验记录和科研发现轨迹做后训练。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%。团队主张科学研究应通过开放权重实现可检视、可改造和可协作。
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. Chenru Duan @chenru_duan 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. 🧵 Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 25 🔄 5 ❤️ 48 👀 6497 📊 24 ⚡
