#nla
Live, measured metrics for the hashtag #nla from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #nla
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 02:12 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 02:12 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 02:12 UTCEverything below is measured over the latest 40 public posts (spanning ~26923 hours).
Posting hours (UTC) — busiest: 14:00
Languages: German (23) · English (12) · Ukrainian (2) · Swedish (1)
Avg boosts / post: 1.3
Top of the latest posts
Hey Australians! Tell the #NationalLibrary that you want them to be on #Mastodon: https://docs.google.com/forms/d/e/1FAIpQLSeU0qddTjTS_j7TG6t9MtuKWk7yWNYtRZZW-z6Ax2x6V7jOfA/viewform #survey #NLA #GLAM #GLAMR
We Can Now Read What Claude Is Thinking. Kind Of Anthropic이 개발한 Natural Language Autoencoders(NLAs)는 Claude 모델의 내부 활성화 값을 사람이 읽을 수 있는 텍스트로 변환해 모델의 '생각'을 해석할 수 있게 한다. 이를 통해 Claude가 출력으로 드러내지 않는 내부 계획이나 의도를 탐지할 수 있으며, 미묘한 안전성 문제와 숨겨진 동기 탐지에 활
Making a tutorial is much harder than just editing my logs. But I'm a good way through editing the demo screencast. And I've started applying the technique to the scene I needed it for. It's still pretty complicated, but it's much easier wh
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/nla