#openmodels
Live, measured metrics for the hashtag #openmodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #openmodels
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.online (Mastodon public tags API) · fetched 2026-10-16 04:00 UTC3 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-16 04:00 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-16 04:00 UTCEverything below is measured over the latest 40 public posts (spanning ~1185 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (39) · French (1)
Avg boosts / post: 0.1
Top of the latest posts
🚨 AI News | TestingCatalog (@testingcatalog) Inworld가 소비자용 AI 앱을 겨냥한 LLM 추론 API인 Inworld Inference를 출시했다. Gemma 4, GLM, DeepSeek, MiMo 등 오픈 모델을 제공하며, 튜터·AI 컴패니언·게임 같은 저지연 서비스에서 모델별 실행 방식을 최적화해 응답 속도를 높이는 것을 목표로 한다. https://x.com/testingcat
NVIDIA (@nvidia) NVIDIA는 영국에서 기업·연구기관·공공 부문의 AI 도입을 지원하며, 향후 5년간 컴퓨팅 접근성에 2억5천만 달러를 투입하겠다고 밝혔다. 의료, 금융, 공공 서비스 분야에서 더 많은 컴퓨팅 자원과 오픈 모델 활용을 확대하려는 AI 인프라 투자 계획이다. https://x.com/nvidia/status/2110255837297987913 #nvidia #uk #aiinfrastructure #
Linoy Tsaban (@linoy_tsaban) 스케치를 업로드하면 Qwen VL과 Krea2Edit으로 스토리보드를 생성하고, Qwen Image 2.1로 각 패널을 반복 편집하는 ‘자유 카메라 이동’ 만화 제작 워크플로를 Hugging Face Space로 구성했다. 오픈 모델을 조합한 멀티스텝 시각 스토리텔링 파이프라인 사례다. https://x.com/linoy_tsaban/status/2110012500150554
#openmodels across platforms
every network with a public tag surfaceFollow #openmodels 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/openmodels