Periodic Labs 发布开源模型 Neon，在材料科学分析基准上超越 GPT-6 Astra
Exciting results, @LiamFedus! Congrats to the whole team at Periodic Labs!
Periodic Labs 发布了他们的开源模型 Neon，这个模型在材料科学分析基准上超越了 GPT-6 Astra，值得看看。
Periodic Labs 在 Menlo Park 建立了高吞吐量的材料实验室，将实验与模型学习形成闭环。他们使用 1,300 个 H200 服务器和实验数据，对开源模型进行了中训练和强化学习，使其在分析基准上超越了 GPT-6 Astra。该模型名为 Neon，目前专注于超导体、磁体和半导体材料等硬问题。
Exciting results, @LiamFedus! Congrats to the whole team at Periodic Labs!
Exciting results, @LiamFedus ! Congrats to the whole team at Periodic Labs! Liam Fedus @LiamFedus We built high-throughput materials labs in Menlo Park to create a loop between experiments and models. The labs generate fresh data, the models learn from it, and then help us decide what to try next. Using only 1,300 H200s, plus months of our experimental data, we mid-trained and RL’d an open-source model to surpass GPT-6 Astra on our analysis benchmark. We call it Neon. This is real footage from our lab. We’re focusing first on hard problems in materials science, including superconductors, magnets, and semiconductor materials. Read our blog posts below. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 6 🔄 9 ❤️ 127 👀 18293 📊 17 ⚡
