#humaninloop
Live, measured metrics for the hashtag #humaninloop from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #humaninloop
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 · mas.to (Mastodon public tags API) · fetched 2026-09-30 18:04 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-30 18:04 UTCNo related tags with measured usage found for #humaninloop.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-30 18:04 UTCEverything below is measured over the latest 4 public posts (spanning ~10643 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 1.3
Top of the latest posts
sf-isms (@sf_isms) ‘Meat proxy’는 AI 산출물을 읽거나 검증하지 않은 채 다른 사람에게 전달하는 사람을 뜻하는 표현으로 소개됩니다. LLM을 업무 흐름에 도입할 때 인간 검토가 형식적인 전달 단계로 전락할 수 있다는 위험을 압축적으로 설명하며, AI 출력의 책임성·검증 프로세스 논의에 유용한 개념입니다. https://x.com/sf_isms/status/2091300586734207224 #llm #
Appearing Productive in the Workplace 이 글은 AI 도구, 특히 생성형 AI가 직장 내 생산성에 미치는 부정적 영향을 분석한다. AI가 비전문가도 전문가처럼 보이는 결과물을 빠르게 만들어내지만, 그 결과물의 정확성과 적합성을 평가할 능력은 부족해 업무 품질 저하와 조직 내 잘못된 의사결정을 초래할 수 있음을 지적한다. 또한, AI 사용으로 인해 업무 산출물은 늘어나지만 실질적인 가치 창출은 줄어들
*Scientific papers* 1/2 Interesting study by @heigit on #AI-assisted integration of road #data into #OpenStreetMap, which shows the more corrections made using #HumanInLoop, the less #transparency and #traceability regarding #DataQuality Pe
#humaninloop across platforms
every network with a public tag surfaceFollow #humaninloop 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/humaninloop