#lm
Live, measured metrics for the hashtag #lm from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #lm
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 2026-07-27 13:54 UTC2 uses by 2 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 2026-07-27 13:54 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 13:54 UTCEverything below is measured over the latest 40 public posts (spanning ~12458 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (23) · German (8) · Russian (3) · Chinese (Taiwan) (2) · Polish (1) · Arabic (1)
Avg boosts / post: 0.9
Top of the latest posts
[…] Contrary to how it may seem when we observe its output, an LM is a system for haphazardly stitching together sequences of linguistic forms it has observed in its vast training data, according to probabilistic information about how they
Currently teaching lm/glm. Does anyone know a real life (publicly available) dataset for which the fitted value vs residuals plot would look like this? (quantitative response y; as many predictors as you want, here it was generated with a s
G'morning 💕 , guys plz wish me luck 🥹 Today I have an interview for a scholarship to a data science training program with Heal Palestine, and I'm currently training for it. If anyone has any advice or tips, please share them with me. @ara
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/lm