OpenAI 联合 Ligo 推出 BioBasicsBench：测试智能体处理湿实验数据分析的能力
OpenAI 和生物公司 Ligo 做了个新基准，用 100 个真实湿实验任务考 AI 智能体能不能看懂原始数据、找出错误，做生物研究的可以关注。
OpenAI 与酶设计生物技术公司 Ligo 共同发布了 BioBasicsBench，专门衡量 AI 智能体在湿实验日常分析中的表现。基准包含 100 个来自真实实验的任务，要求智能体解读原始实验数据、发现错误，并判断证据是否足以支持某个结论。OpenAI 表示该基准可用于追踪模型在科学进展、生物安全和生物安保方面的提升情况。
A new way to measure how AI agents handle the routine analyses of wet-lab science—BioBasicsBench. Developed with Ligo, a biotech company focused on enzyme design, the benchmark draws on 100 tasks from real experiments to test whether agents can interpret raw lab data, identify errors, and recognize when the evidence doesn’t support a conclusion. Accelerating biological research starts with getting the everyday work right. BioBasicsBench shows where models need to improve, and helps us track what those gains mean for scientific progress, biosafety, and biosecurity. openai.com/index/measurin… 💬 320 🔄 57 ❤️ 893 👀 80295 📊 337 ⚡
