#科技史
Live, measured metrics for the hashtag #科技史 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #科技史
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 2026-08-22 10:05 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 2026-08-22 10:05 UTCNo related tags with measured usage found for #科技史.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 10:05 UTCEverything below is measured over the latest 40 public posts (spanning ~10368 hours).
Posting hours (UTC) — busiest: 02:00
Languages: Chinese (Taiwan) (40)
Avg boosts / post: 0
Top of the latest posts
🌘 《魔鬼終結者 2》的技術內幕——口述歷史 ➤ 從零開始的視覺革命：重溫 90 年代初期的 CGI 拓荒史 ✤ https://vfxblog.com/2017/08/23/the-tech-of-terminator-2-an-oral-history/ 在《魔鬼終結者 2》於 1991 年上映時，工業光魔（ILM）團隊面臨前所未有的挑戰：如何打造指標性的「液態金屬」T-1000 機器人。當時的電腦動畫技術尚處於萌芽階段，這羣先驅者在資源極度受限的環境下，不僅要克服嚴苛
🌗 公共天才的私人掠奪 ➤ 從貝爾實驗室的「壟斷水田」到當代 AI 的算力博弈 ✤ https://www.wysr.xyz/p/the-private-capture-of-public-genius 本文回顧了 1956 年美國司法部對 AT&T 實施的反壟斷和解協議。當時作為受監管壟斷企業的 AT&T，透過用戶補貼建立起舉世聞名的貝爾實驗室（Bell Labs）。然而，政府透過強制要求其開放專利授權並限制其業務範圍，意外催生了半導體產業的爆發，並間接促成了矽谷的誕生。
🌗 我成長過程中的網際網路已不復存在 ➤ 從數位邊疆到生活監獄：一場無可回頭的技術演進 ✤ https://cleberg.net/blog/internet.html 本文透過作者的成長視角，回顧了網際網路從「偶爾造訪的數位樂土」轉變為「無所不在的生活基礎設施」的過程。作者感嘆 2000 年代初期那種將電腦視為獨立工具、上網僅是短暫探險的純粹體驗，與今日網路滲透生活方方面面、甚至產生強制依賴的現實，形成了強烈對比。文章不僅記錄了科技演進的歷史軌跡，也表達了對網路世界從「充
#科技史 across platforms
every network with a public tag surfaceFollow #科技史 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/科技史