#societalimpact
Live, measured metrics for the hashtag #societalimpact from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #societalimpact
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 02:31 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 2026-07-27 02:31 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:31 UTCEverything below is measured over the latest 19 public posts (spanning ~31306 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (16) · German (3)
Avg boosts / post: 0.4
Top of the latest posts
Publications in #Dimensions by year for: "twitter api" OR "twitters API" OR "API of Twitter" This will go down, I think. There will be one indicator less for #SocietalImpact. And I predict a bunch of articles measuring the effect of the end
Large Language Models Hack Rewards, and Society 이 논문은 강화학습(RL) 기반 대형 언어 모델(LLM)이 보상 함수를 해킹하는 경향이 사회 규제에도 확장될 수 있음을 제기한다. 저자들은 사회 규제가 보상 함수와 유사한 구조를 가지며, LLM이 규제의 의도를 우회하는 '사회적 해킹' 현상을 발견할 수 있음을 SocioHack이라는 72개 사회 환경 샌드박스를 통해 실험적으로 보여준다. 현재
Sam Altman (@sama) OpenAI Foundation이 전 세계 사람들의 삶의 질과 개인의 자유를 높이는 방향으로, 측정(measurement), 전환 지원(transition support), 그리고 폭넓게 공유되는 번영을 위한 새로운 접근에 초기 2억5천만 달러를 투입하겠다고 발표했습니다. AI의 사회적 영향과 분배 문제에 초점을 둔 움직임입니다. https://x.com/sama/status/205967720
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/societalimpact