#languagemodels
Live, measured metrics for the hashtag #languagemodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #languagemodels
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 · mas.to (Mastodon public tags API) · fetched 2026-10-18 11:58 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-18 11:58 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-18 11:58 UTCEverything below is measured over the latest 40 public posts (spanning ~2213 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (29) · Polish (10)
Avg boosts / post: 0.7
Top of the latest posts
English language as a poor choice for training language models [*you don't say!*]. David Eichler proposes Basque, a language with very explicit consistency rules in its sentence structure that double as constraints for correctness. "The hyp
🤖🕵️♂️ The latest breakthrough in AI: language models now ponder the #ethics of malicious code, as if #malware needed a moral compass! 🙄 Apparently, asking a model about malware is akin to offering it a philosophical dilemma, because, cl
Oh, the joys of modern tech journalism: an entire article reduced to "Enable #JavaScript and cookies" 🥳. Who knew that the evolution from primitive bag-of-words to cutting-edge language models like #Jev required so much browser configurati
#languagemodels across platforms
every network with a public tag surfaceFollow #languagemodels 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/languagemodels