几篇 Mastodon 帖子讨论了 AI 的使用和影响，特别关注代理技能以及对人类专注力的潜在影响。其中一篇帖子强调了使用不完美的传感器数据进行工业水监测的挑战，并强调了 AI 系统解释多种信号和数据质量的需求。另一篇帖子详细介绍了 Claude Code over MCP 等特定代理工作流程的衡量和评分方式。此外，还出现了一个关于过度使用 AI 是否会削弱编码技能，或者更关键的是，是否会削弱进入心流状态的能力的讨论，而心流状态被认为是人类创造力的关键。 AI
影响 这些讨论突显了 AI 对人类专注力的潜在影响以及在工业环境中实施 AI 的复杂性。
排序理由 该集群包含多篇关于 AI 使用及其影响的观点文章和讨论，而不是特定的事件或发布。
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A full session transcript, a week late, with nothing taken out. No summary, no cleanup. Tool calls... # ai # agents # claude # devops # software # coding # development # engineering # inclusive # community A deploy check that passed by hand and failed at night, for 38 days
A full session transcript, a week late, with nothing taken out. No summary, no cleanup. Tool calls... # ai # agents # claude # devops # software # coding # development # engineering # inclusive # community The run history was there. Reading it would have cost 275 hours.
Most agent skills are files in a repo. Nothing happens until something runs them. Rokha is the AI... # api # mcp # ai # tutorial # software # coding # development # engineering # inclusive # community Run any published agent workflow with one HTTP call (and from Claude Code over …
Industrial water monitoring becomes difficult when a system has to make decisions from imperfect sensor data. A change in flow might indicate a real leak, but it could also result from increased demand. A pressure measurement may arrive late. A water-quality sensor may become les…
What the MCP directory rubrics actually measure, with our before/after scores: Smithery 83 to 96, Glama 3.6 to 4.7 by splitting servers, and the health-check trap. # mcp # agents # ai # api # software # coding # development # engineering # inclusive # community How Smithery and G…
I've said this before: if you keep using AI, and don't write code yourself, you'll lose that particular skill. But I think I was not entirely correct in that conclusion! 🤔 What you really lose if you keep using AI for everything, is not your skills, but your ability to focus . Be…