In my original project, I now have 300+ FD files each with a problem statement, solutions considered, and what was implemented. An emergent property of this system is that agents frequently rediscover past FDs on their own with /fd-explore /fd-deep or when they launch Explore agents with plan mode. The added context of what was considered prior helps the agents plan better, and also remind me of relevant work I may have forgotten about (with all the context switching between tabs and the increased speed of work I am less capable of remembering what I have done).
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Unknown risksThis might seem strange, but with such novel technologies, we simply don't know all of the potential risks. You may have heard the saying, "We don't know what we don't know," and that very much applies to artificial intelligence. That's doubly true with large language models, which are something of a black box. Often, even the makers of AI chatbots don't know why they behave the way they do, and that makes AI security risks at work somewhat unpredictable. Models often behave in unexpected ways.,详情可参考搜狗输入法2026
onDebug: (msg) = {}, // Internal debug messages (development only)
Competitive threats to Google’s own services