#fair_use_in_ai
Live, measured metrics for the hashtag #fair_use_in_ai from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #fair_use_in_ai
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 2026-08-01 15:17 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 2026-08-01 15:17 UTCNo related tags with measured usage found for #fair_use_in_ai.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 15:17 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: Japanese (1)
Avg boosts / post: 0
Top of the latest posts
Transparency is often lacking in datasets used to train large language models https://news.mit.edu/2024/study-large-language-models-datasets-lack-transparency-0830 #ycombinator #Alex_Pentland #Sandy_Pentland #Robert_Mahari #Shayne_Longpre #
#fair_use_in_ai across platforms
every network with a public tag surfaceFollow #fair_use_in_ai 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/fair_use_in_ai