#synthetictext
Live, measured metrics for the hashtag #synthetictext from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #synthetictext
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 22:55 UTC0 uses by 0 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 22:55 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 22:55 UTCEverything below is measured over the latest 6 public posts (spanning ~21084 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 1
Top of the latest posts
This is precisely the right model to have for LLMs. They are optimizing for "is this a suitable reply to this entry text". And *the entire conversation* is fed back as the new entry text. It is still remarkable that the result of that optim
Just about everything that I read in English these days, including news reports and op-eds, are all AI generated text. It seems no one is writing anything anymore. Plastic plastic everywhere. #SyntheticText
Just came across this insightful article on watermarking for large language models! 📝 It explores how watermarking can help distinguish between human and AI-generated text, ensuring responsible usage. A great read for anyone interested in
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/synthetictext