#modelcollapse
Live, measured metrics for the hashtag #modelcollapse from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #modelcollapse
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 2026-09-30 19:59 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 2026-09-30 19:59 UTCNo related tags with measured usage found for #modelcollapse.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-30 19:59 UTCEverything below is measured over the latest 40 public posts (spanning ~10451 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (33) · German (2) · French (2) · Spanish (1) · Polish (1)
Avg boosts / post: 2.8
Top of the latest posts
In big news overnight, #Anthropic have made a major change to their user data retention and training policy - giving customers until September 28th to opt out, or have their chats, code sessions and other artefacts used for training for up
Yay! My essay on the impacts of Large Language Model (#LLM) #AI in #archaeology was just published: https://doi.org/10.11141/ia.71.15 It looks at #bots and mass scraping on the infrastructure supporting #opendata and #openaccess. It also lo
I’m confused. It’s well established that when #generativeAI outputs are used to train further AI models, the quality rapidly degenerates and leads to #ModelCollapse. So what is “recursive self-improvement”? And why is it suddenly all over t
#modelcollapse across platforms
every network with a public tag surfaceFollow #modelcollapse 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/modelcollapse