#圖靈測試
Live, measured metrics for the hashtag #圖靈測試 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #圖靈測試
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 2026-08-26 14:25 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 2026-08-26 14:25 UTCNo related tags with measured usage found for #圖靈測試.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 14:25 UTCEverything below is measured over the latest 3 public posts (spanning ~6890 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (3)
Avg boosts / post: 0
Top of the latest posts
🌘 驗證碼仍能識別 AI 代理：進階的「過程圖靈測試」 ➤ 從關注「產出結果」轉向分析「思維過程」：新一代 AI 辨識機制 ✤ https://research.roundtable.ai/captchas-detect-ai/ 儘管現代 AI 模型在圖像辨識等任務上已超越人類，但它們執行任務的「過程」與人類截然不同。本文提出「過程圖靈測試」（Process Turing Test）的概念，透過結合 30 項認知心理學任務（CogCAPTCHA30），研究人員發現，雖然 A
🌗 在人類身上觀察到的大型語言模型（LLM）缺陷 ➤ 當 AI 成為更好的溝通者：人類認知的侷限與「過時」風險 ✤ https://embd.cc/llm-problems-observed-in-humans 隨著大型語言模型（LLM）的突飛猛進，一個耐人尋味的現象正悄然發生：過去被視為 AI 專屬的技術缺陷，如今在人類身上反而顯得更加刺眼。作者 Jakob Kastelic 指出，當模型持續進化而人類智力卻停滯不前時，圖靈測試的門檻正在被無形中拉高，甚至可能導致人類最終
🌗 提米陷阱：為何我們誤以為大型語言模型（LLMs）有智慧 ➤ 揭開大型語言模型（LLMs）的「流暢性」面紗，辨識潛藏的認知陷阱 ✤ https://jenson.org/timmy/ 本文探討了人們為何容易將大型語言模型（LLMs）誤認為具有智慧。作者透過「提米」這個具象化的玩偶，生動地展示了人類與生俱來的同理心和連結感，即使面對一個簡單的物體，也能產生情感投射。文章指出，LLMs 的「流暢性」和「連貫性」是欺騙我們大腦的關鍵，牠們透過重組人類的文字，繞過了我們的懷疑。作
#圖靈測試 across platforms
every network with a public tag surfaceFollow #圖靈測試 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/圖靈測試