#alphago
Live, measured metrics for the hashtag #alphago from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #alphago
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.online (Mastodon public tags API) · fetched 2026-11-10 03:55 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.online (Mastodon public search API) · fetched 2026-11-10 03:55 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-10 03:55 UTCEverything below is measured over the latest 40 public posts (spanning ~14380 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (26) · German (8) · Chinese (Taiwan) (1) · Spanish (1) · Korean (1) · Chinese (1)
Avg boosts / post: 0.3
Top of the latest posts
Interesting article: what is currently known as "reasoning" in LLMs really isn't. The author suggests to introduce a new form of reasoning inspired by how AlphaGo did it (on which the author worked on). I think that the last two or three ye
🌗 別被騙了——大型語言模型不會推理 ➤ 借鑑 AlphaGo 的雙系統智慧，擺脫「下一個詞預測」以重塑真正可信的機器推理 ✤ https://www.technologyreview.com/2026/10/02/1145639/dont-be-fooled-llms-dont-reason/ 雖然 AlphaGo 在十年前憑藉結合直覺與推理的雙系統架構擊敗了人類圍棋冠軍，但當今的主流大型語言模型（LLM）卻未能承襲這項關鍵技術。現今的 LLM 即便使用「思考鏈」技術，本
11/14: AlphaGo 2016 Das DeepMind System AlphaGo besiegte den Go Weltklassespieler Lee Sedol in Seoul. Go galt wegen seiner enormen Zahl möglicher Stellungen lange als zu komplex für Computer. AlphaGo kombinierte neuronale Netze mit Baumsuch
What “alphago” means
WikipediaAlphaGo is a computer program that plays the board game Go. It was developed by the London-based DeepMind Technologies, an acquired subsidiary of Google. Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. After retiring from competitive play, AlphaGo Master was succeeded by an even more powerful version known as AlphaGo Zero, which was completely self-taught without learning from human games. AlphaGo Zero was then generalized int
“AlphaGo” on Wikipedia (CC BY-SA) →#alphago across platforms
every network with a public tag surfaceFollow #alphago 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/alphago