这篇推文点出了代理工具的实际应用边界——能干活，但还做不到完全自主科研，专家的引导和把关依然重要。
OpenAI的推文指出编码代理可帮助科学家处理从日常维护到系统重新设计等任务，提高研究效率。但研究者仍需自行定义科学问题、验证结果并承担长期所有权。代理虽能可靠执行复杂项目，但专业知识和人类判断仍然关键。
Highly recommend reading. I agree that coding agents are great for scientific computing, but you c...
Highly recommend reading. I agree that coding agents are great for scientific computing, but you can't just autoresearch yourself to useful discoveries (yet). I still find myself steering and collaborating closely with my research agents. Expertise matters a lot. OpenAI @OpenAI Coding agents are helping scientists spend more time advancing research, taking on everything from routine maintenance and targeted optimization to complete redesigns and new systems. While agents can reliably execute on ambitious projects, researchers must still define the scientific questions, verify results, and take a stance on long-term ownership. 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 10 👀 2280 📊 2 ⚡