#trainingllms
Live, measured metrics for the hashtag #trainingllms from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #trainingllms
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 09:32 UTC1 uses by 1 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 09:32 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 09:32 UTCEverything below is measured over the latest 3 public posts (spanning ~24506 hours).
Posting hours (UTC)
Languages: English (2) · German (1)
Avg boosts / post: 7.3
Top of the latest posts
Why Training LLMs With Endpoint Data Will Strengthen Cybersecurity VentureBeat made with DALL-E Capturing weak signals across endpoints and predicting potential intrusion attempt patterns is a perfect challenge for Large Language Models (LL
😂 You’re right, I totally forgot to include “hedgehog cheesecake hippopotamus” in that list. But I’m not sure that it would help in training a language model, since it isn’t a real word. At least, not in English. (Unless you live in the UK
I decided to be brave and post an open question to #LeetCode asking if they are using user submissions to train a code-generating #LLMs, or if they've licensed submissions to another group for a similar purpose. https://leetcode.com/discuss
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/trainingllms