#aidetection
Live, measured metrics for the hashtag #aidetection from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aidetection
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 05:18 UTC6 uses by 6 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 05:18 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:18 UTCEverything below is measured over the latest 40 public posts (spanning ~2958 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (38) · German (1) · Spanish (1)
Avg boosts / post: 0.8
Top of the latest posts
My go-to tests for any startup doing AI detection on text are my own master's thesis (2011), a random chapter from The Hobbit, and a new text generated by a local Olama. So far, no detector has reliably detected all three of them correctly.
So AI is learning from all the content on the internet, and a lot of that content is AI-generated. Wouldn't that mean that AI is getting better at generating AI-sounding content? If so, maybe AI detection will work in the future. #AI #conte
Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰 https://orchidfiles.com/github
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/aidetection