#llm_ai
Live, measured metrics for the hashtag #llm_ai from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llm_ai
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 2026-07-28 05:19 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 2026-07-28 05:19 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 05:19 UTCEverything below is measured over the latest 5 public posts (spanning ~1198 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0.4
Top of the latest posts
@_elena I think everyone I follow is #NoAI lol, I went from teaching data sci and physics to teaching how to circumvent/remove #LLMs in data sci and physics... it's tough for the kids trying to learn through this slop 🙃 One thing I think h
“There’s also the underlying unreliability of hallucination-prone Large Language Models. While a premium request chasing its tail and spitting out half-broken code might be frustrating, that same fuckup is a lot less forgivable when you’re
One thing that's been irking me about the adoption of AI is the homogenisation it brings. Not only in sentence structure, like the tell-tale 'It's not X, but Y', but in the loss of local phrases and culture. For instance, a colleague highli
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_ai