#生成式
Live, measured metrics for the hashtag #生成式 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #生成式
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 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 10:05 UTCEverything below is measured over the latest 34 public posts (spanning ~23729 hours).
Posting hours (UTC) — busiest: 08:00
Languages: Chinese (Taiwan) (31) · Japanese (1)
Avg boosts / post: 0
Top of the latest posts
🌗 用 GPT-5.6、Claude、Gemini 與 Grok「繪製」蒙娜麗莎 ➤ 當 AI 拿起了虛擬畫筆：一場關於創造力與自我修正的競技 ✤ https://www.tryai.dev/blog/ai-drawing-arena-colored-pencils-claude-gpt-grok 這項實驗透過一套開源的「繪圖競技場」，讓四款頂尖 AI 模型嘗試重現名畫（如蒙娜麗莎）或根據文本提示進行創作。研究人員提供了一組彩色鉛筆工具，允許模型設定筆觸、顏色與壓力，並透過
🌗 Kimi K3 與我們從「鵜鶘基準測試」中仍能學到的事 ➤ 從輕量級測試解構 Kimi K3 的真實效能與運作邏輯 ✤ https://simonwillison.net/2026/Jul/16/kimi-k3/ 月之暗面（Moonshot AI）近日發布了全新的 Kimi K3 模型，號稱是首款 3 兆參數級別的模型。該模型在各項評測中表現優異，甚至在程式設計任務上超越了部分頂尖模型。作者 Simon Willison 透過其標誌性的「鵜鶘騎腳踏車」SVG 生成測試，
🌘 領域專用語言（DSL）助力實現可靠的大型語言模型應用 ➤ 透過 DSL 建立強韌的程式碼邊界，讓 AI 成為可靠的協作夥伴 ✤ https://martinfowler.com/articles/llm-and-dsls.html 隨著大型語言模型（LLM）在程式開發中的應用日益普及，開發者發現單純仰賴自然語言描述往往不足以應對複雜的設計決策。本文指出，設計是在實作過程中被「發現」的，而非僅靠事前規劃。為了提升 LLM 產出程式碼的可靠性與精確度，作者主張將「領域專用語
#生成式 across platforms
every network with a public tag surfaceFollow #生成式 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/生成式