#visionlanguageaction
Live, measured metrics for the hashtag #visionlanguageaction from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #visionlanguageaction
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 18:43 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 18:43 UTCNo related tags with measured usage found for #visionlanguageaction.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 18:43 UTCEverything below is measured over the latest 7 public posts (spanning ~23909 hours).
Posting hours (UTC)
Languages: English (6) · Russian (1)
Avg boosts / post: 0.1
Top of the latest posts
Rohan Paul (@rohanpaul_ai) LingBot-VLA 2.0이 단일 정책으로 20개 로봇 구성에서 전신 제어를 학습하며, 로봇 데이터의 노이즈를 줄이기 위한 접근도 언급합니다. VLA(비전-언어-행동) 모델의 범용성 개선과 로봇 파운데이션 모델 방향을 보여주는 연구 소식입니다. https://x.com/rohanpaul_ai/status/2076044975633252540 #vla #robotics #visio
[Перевод] «Обучение на опыте» для малых моделей: переносим методы Physical Intelligence на ACT без использования VLA или диффузии Поведенческое клонирование (BC) - это доминирующая парадигма в ИИ-робототехнике, которая позволяет моделям обу
The Humanoid Hub (@TheHumanoidHub) Robbyant가 LingBot-VLA를 발표했습니다. 오픈소스 Vision-Language-Action(VLA) 모델로 약 2만 시간의 실제 듀얼암 로봇 데이터로 사전학습되었고, 9개 서로 다른 로봇 체계(embodiments)에서 강한 일반화 성능을 보이며 데이터 증가에 따라 일관되게 성능이 향상된다고 합니다. 또한 π₀.₅, GR00T N1.6 등을 능가한다고
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/visionlanguageaction