#擴展定律
Live, measured metrics for the hashtag #擴展定律 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #擴展定律
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 · mastodon.social (Mastodon public tags API) · fetched 2026-08-24 22:56 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-08-24 22:56 UTCNo related tags with measured usage found for #擴展定律.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-24 22:56 UTCEverything below is measured over the latest 2 public posts (spanning ~2134 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (1)
Avg boosts / post: 0
Top of the latest posts
AI開始更新自己腦袋中的參數來認識你，也許，這就是我們要的AGI了 程世嘉 2025-12-02 07:56:00 CST在Henry被切除海馬迴的70多年後的現在，Google的研究人員在觀察大型語言模型時，發現現在的AI也有同樣的毛病。而且因此在AI的發展上找到一個非常有機會帶來巨大突破的新方向「Nested Learning（嵌套學習）」，目的是為了讓AI不再遺忘剛剛發生過的事情，並且發表了一篇最近相當受矚目的論文。 https://www.thenewslens.co
🌕 「痛苦的教訓」被誤讀：AI 的真正驅動力是數據，而非算力 ➤ 算力神話的破滅：數據纔是 AI 革命的真正燃料 ✤ https://obviouslywrong.substack.com/p/the-bitter-lesson-is-misunderstood 本文作者認為，學界普遍誤解了 Rich Sutton 的「痛苦的教訓」(Bitter Lesson)。此教訓並非僅強調算力的重要性，而是指出算力與數據規模之間存在平方關係（C ~ D^2），意味著模型訓練所需的算力
#擴展定律 across platforms
every network with a public tag surfaceFollow #擴展定律 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/擴展定律