做 AI 智能体开发的团队值得一看——omar 点出了 agent loops 的适用边界和潜在风险，提醒大家不要盲目追求全自动，设计时留好人类介入接口，避免产出低质量 AI 内容。
omar 指出当前对 agent loops 的炒作过度，认为其在代码库维护等可轻松验证的场景中表现良好，但在许多其他领域和真实用例中，人类在环（human in the loop）仍然必要。他建议设计既能支持自主运行又能方便人类协作与输入的循环，以对抗 AI 生成的“垃圾内容”（AI slop）。
I wanted to add an extra note to this, as there is a bit too much hype on the agent loops stuff. Thi...
I wanted to add an extra note to this, as there is a bit too much hype on the agent loops stuff. This works great for maintaining codebases and things that can be verified easily (in other words, where you can set clear conditions that the agent can meet). However, for a lot of other domains and real-world use cases, human in the loop is necessary. So I think a better approach is designing loops that support autonomous runs while enabling easy human collaboration and inputs. That's what I have been working on recently, and I think it's important to combat AI slop, which I am afraid these naive loops will generate purely from an AI model's capability and lack of knowledge and world understanding. 💬 0 🔄 0 ❤️ 0 👀 1303 ⚡