#ai協作
Live, measured metrics for the hashtag #ai協作 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ai協作
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-23 11:47 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-23 11:47 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-23 11:47 UTCEverything below is measured over the latest 3 public posts (spanning ~4910 hours).
Posting hours (UTC)
Languages: English (1) · Chinese (Taiwan) (1)
Avg boosts / post: 0
Top of the latest posts
【高教轉型】南臺科大多樂系如何用「品味」培養跨域人才，擺脫「被AI取代」焦慮？馮冠維 2026-08-15 07:58:00 CST面對AI浪潮，南臺科大多樂系將教學重點轉向培養「品味」與整合能力，助學生駕馭AI。然而，教學現場也點出關鍵挑戰：付費AI工具的成本正拉開「算力貧富差距」，成為高教體系亟需面對的課題。 https://www.thenewslens.com/article/269643 #楊智傑 #遊戲業 #品味 #遊戲 #南臺科技大學 #教育 #整合型人才 #邵
別再只問「怎麼做的」——該問的是「怎麼想到的」 分享時被喜歡有成就感，但我更期待改變讀者行為，而不只是點讚好厲害。從 ChatGPT 問世起我常跟夥伴分享 AI 應用，後來覺得幫助不大，越來越抗拒只分享結果。 👉 為什麼？ 懶惰、純看不試是一個坎；另一方面工具改朝換代太快，我不很希望讀者只學步驟，半年後就因工具迭代而不知怎麼繼續使用。 有些人看別人用哪個工具、哪個 prompt 就能推敲邏輯，多數人可能還是需要被點一下。 💡 我現在的做法 分享時刻意多補：怎麼想的、試過什
🌘 處於迴路中的人類：程式碼審查如何成為AI時代的關鍵技能 ➤ 當AI能寫程式時，人類的價值在哪裡？ ✤ https://adventures.nodeland.dev/archive/the-human-in-the-loop/ 本文作者以Node.js核心維護者的身份，回應Mike Arnaldi關於「軟體開發已死」的論點。作者認同AI已徹底改變其工作流程，能快速生成修補程式碼與新功能，但他強調，程式碼審查的責任與重要性反而因此提升。作者指出，當前的瓶頸已從「撰寫程式碼
What “ai協作” means
Wiktionaryai/ˈɑ.i/
- nounA type of three-toed sloth, Bradypus tridactylus, endemic to forests of southern Venezuela, the Guianas, and northern Brazil.
#ai協作 across platforms
every network with a public tag surfaceFollow #ai協作 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/ai協作