#visionlanguage
Live, measured metrics for the hashtag #visionlanguage from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #visionlanguage
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 2026-11-12 12:00 UTC0 uses by 0 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 2026-11-12 12:00 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-12 12:00 UTCEverything below is measured over the latest 40 public posts (spanning ~20700 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (40)
Avg boosts / post: 0
Top of the latest posts
Certificate‑Guided Visual Routing Meets Diffusion VLMs: Why the AI World Is Paying Attention The Lead CGVR slashes diffusion‑model inference time by 20 % while preserving image fidelity. Dr. Maya Liu announced the result on the main stage o
NVIDIA가 GR00T 학습에 사용해 온 로봇 데이터 엔진 Flora를 오픈소스 모델 제품군으로 공개했다. Flora는 사람·로봇 영상에서 시간 구간별 행동 캡션을 생성하고, 작업 성공·실패와 실패 행동을 보상 라벨로 기록한다. WGO-Bench, RoboReward, Robometer 등에서 높은 성능을 보고했으며, 내부 비교에서 GPT-6 Astra급과 경쟁하면서 약 125배 저렴하다고 밝혔다. 512대 GB300 GPU
Deedy (@deedydas) Elorian이 대규모 시각 추론의 비용·성능 문제를 겨냥한 ‘Glimpse’를 출시했다고 발표했다. 트윗은 Astra 수준의 시각 추론 모델이며 17배 관련 효율 개선을 주장하지만, 비교 기준과 벤치마크 세부 내용은 본문에 제시되지 않았다. https://x.com/deedydas/status/2111342727044665427 #visualreasoning #multimodal #vision
#visionlanguage across platforms
every network with a public tag surfaceFollow #visionlanguage 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/visionlanguage