#aicommons
Live, measured metrics for the hashtag #aicommons from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aicommons
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 · mastodon.social (Mastodon public tags API) · fetched 2026-07-27 20:00 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-07-27 20:00 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-27 20:00 UTCEverything below is measured over the latest 40 public posts (spanning ~30217 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (39) · Portuguese (1)
Avg boosts / post: 2
Top of the latest posts
The Chan-Zuckerberg Initiative announced that in order to support non-profit medical research they are building "computing infrastructure" - that is, purchasing over a 1000 state of the art GPUs. This is super interesting, in an AI-powered
In our latest opinion, Paul Keller shows how the European text and data mining exception, introduced in the Copyright Directive, creates a framework for regulating machine learning. Paul argues that on the basis of this regulation a new for
It was a real pleasure imagining #AICommons as alternatives to extractive AI together with @rumya, Michelle Thorne and Solana Larsen at this year's @republica 🤓 A session co-instigated by Renata Avila from @okfn and my colleague Deshni Gov
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/aicommons