#環境影響
Live, measured metrics for the hashtag #環境影響 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #環境影響
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 2026-08-25 02:29 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 2026-08-25 02:29 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-25 02:29 UTCEverything below is measured over the latest 10 public posts (spanning ~20798 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (6) · English (2)
Avg boosts / post: 0.2
Top of the latest posts
🌘 我家後院不要數據中心：AI 建設浪潮下的金錢、權力與民粹主義 ➤ 當 AI 巨獸撞上中西部小鎮：一場關於土地與權力的實地考察 ✤ https://jasmi.news/p/no-data-centers-in-my-backyard AI 的發展並非僅存在於虛擬雲端，其巨大的實體數據中心正成為美國地方政治的火藥桶。作者深入威斯康辛州與密西根州，調查民眾對數據中心普遍反感的原因。透過走訪詹斯維爾廢棄的通用汽車廠址，作者呈現了開發商提供的經濟誘因與居民對環境破壞及祕密協議的
🌘 AI狂熱：從鬱金香到代幣 ➤ 審視人工智慧的生態代價、歷史狂熱與人機協作的權力轉移 ✤ https://seanhelvey.com/tools-and-their-tools/ 本文探討了當前人工智慧狂熱與歷史投機泡沫（如鬱金香狂熱）的平行關係，並借用麥可·波倫的共同演化理論，反思人類與 AI 工具之間「誰在使用誰」的關係。作者指出 AI 產業缺乏透明度及其對水電等自然資源的巨大消耗，同時分享了自己使用 AI 助理 Claude Code 自動修改部落格程式碼以新增副
🌕 擁有37座資料中心的郡政府要求學校「節約用電」 ➤ 資料中心擴張背後的代價：當學校被迫為能源開支買單 ✤ https://www.404media.co/henrico-virginia-datacenter-energy-cost-email/ 美國維吉尼亞州亨利科郡（Henrico County）因大量資料中心進駐，面臨電力需求激增與電價飆漲的雙重壓力。郡政府日前通知包含學校在內的所有公務單位，下個財政年度電費將大幅上漲25%，預計增加500萬美元開支。為了因應這筆
#環境影響 across platforms
every network with a public tag surfaceFollow #環境影響 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/環境影響