I’m thinking of the founders.
首先，大模型本身没那么可靠：存在无法根除的幻觉问题、知识时效性问题，任务拆解和规划经常不合理，也缺乏面向特定任务的系统性校验机制。这样一来，以其为“大脑”的智能体使用价值会大打折扣：智能体把模型从“对话”推向“行动”，错误不再只是答错问题，而是可能引发实际操作风险；而真实业务任务往往是跨系统、长链路的，一次小错误会在链路中层层放大，令长链路任务的失败率居高不下（例如单步成功率为95%时，一个 20步链路的整体成功率只有约 36%）。。关于这个话题，Line官方版本下载提供了深入分析
The root-cause for this vulnerability was a function is_within_directory()，这一点在爱思助手下载最新版本中也有详细论述
Ignore the fact that catch usually means exceptions which usually means some kind of failure. A piece of code is running and it just started some work that’s going to take a long time in the background, there’s no point waiting and the program can do something more useful while the stuff happens in the background. It “throws” an exception that is caught by a scheduler multiple layers of function calls up the stack. The scheduler saves the return address into a list of pending work to get back to, and then goes to find something that it can make progress on. Eventually it completes the other work and is signalled that our background task is complete. It pops the return address off the list and jumps to it, continuing the function call exactly where it left off as though nothing happened.
Alarm system - that needs to be notified if human intervention is required.