#GenerativeModels
Live, measured metrics for the hashtag #GenerativeModels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #generativemodels
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 2026-11-09 00:28 UTC1 uses by 1 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 2026-11-09 00:28 UTCNo related tags with measured usage found for #generativemodels.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-09 00:28 UTCEverything below is measured over the latest 40 public posts (spanning ~28293 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (38) · Korean (1) · Italian (1)
Avg boosts / post: 0.9
Top of the latest posts
🚀 Excited to share our new paper: "DynTex: A real-time generative model of dynamic naturalistic luminance textures" ...now published in Journal of Vision! 🔹 Why it matters: Dynamic textures (e.g., fire, water, foliage) are everywhere, but
I too am a strident critic of the generative models currently being hyped as the future of "AI"; https://disintermedia.net.nz/invasion-of-the-mole-trainers/ But to advocate for the demons for a minute ... @grumpygamer > AI is trained on sto
https://www.europesays.com/people/296011/ Musk and Huang clash over the future of AI neoclouds #AIInfrastructure #AINeoclouds #CloudComputing #ComputeDemand #DataCenters #GenerativeModels #JensenHuang
#generativemodels across platforms
every network with a public tag surfaceFollow #generativemodels 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/generativemodels