AI Makes Document Threads Harder to Converge
teodorio · x · 2026-07-10
This reply discusses a very realistic side effect of AI tools: **information and tasks get split into an increasing number of parallel threads**, shattering attention and making it difficult to drive things to completion. The author further points out that in non-code scenarios like documentation, architectural proposals, and project plans, AI often lacks the natural constraints found in code: - Code naturally approaches a "time to stop" because poor runtime and readability degrade it - But documents and plans can easily expand infinitely - The result is more communication, yet worse decision-making and completion rates The core message is that while AI lowers the cost of generating non-code documents, it can also exacerbate "over-output."
Related event: AI in Non-Coding Tasks Causes Information Thread Bloat(2 posts)→
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