#llm
Live, measured metrics for the hashtag #llm from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llm
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 2026-09-08 06:17 UTC703 uses by 395 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 2026-09-08 06:17 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-08 06:17 UTCEverything below is measured over the latest 40 public posts (spanning ~13 hours).
Posting hours (UTC) — busiest: 19:00
Languages: English (32) · Turkish (2) · French (2) · Italian (1) · Russian (1) · Finnish (1)
Avg boosts / post: 1.4
Top of the latest posts
OH: "It has a certain gen-AI sais quoi." #ai #llm
Curious people's experience with LLMs at work vs personal projects. Mostly thinking about programming types of tasks here, things you would have otherwise written yourself or had to learn about and ask others for help. #programming #LLM #AI
And that, amusingly, only ends up highlighting how unlike (and inferior) #LLM glop is in comparison to human communication: one of the many defects of LLMs is that they're riddled with weaknesses and exploits. One can say a few well-chosen
What “llm” means
WikipediaA large language model (LLM) is an AI model trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts. They are the basis for many modern chatbots, such as ChatGPT, Claude, Gemini, Grok, and DeepSeek.
“Large language model” on Wikipedia (CC BY-SA) →#llm across platforms
every network with a public tag surfaceFollow #llm 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/llm