#flowmatching
Live, measured metrics for the hashtag #flowmatching from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #flowmatching
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 2026-11-06 10:24 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 2026-11-06 10:24 UTCNo related tags with measured usage found for #flowmatching.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-06 10:24 UTCEverything below is measured over the latest 7 public posts (spanning ~14007 hours).
Posting hours (UTC)
Languages: English (6) · Polish (1)
Avg boosts / post: 0
Top of the latest posts
fly51fly (@fly51fly) UC Berkeley 연구진이 QF3: Fast Flow RL with Filtered Q-Gradients를 공개했습니다. Q-gradient를 필터링하는 방식으로 Flow RL 학습을 빠르게 수행하려는 강화학습 연구로, 생성 모델 및 flow 기반 정책 최적화 관련 학습 안정성·효율 개선 가능성을 다룹니다. https://x.com/fly51fly/status/21079485279430
Flux 3 Black Forest Labs가 이미지·비디오·오디오를 하나의 아키텍처에서 공동 학습하는 멀티모달 기반 모델 FLUX 3를 얼리 액세스로 공개했다. Self-Flow 기반으로 생성과 이해를 정렬하며, 텍스트·이미지·비디오 입력에서 최대 20초 길이의 네이티브 오디오 포함 비디오 생성, 비디오 편집·연속 생성, 다국어 대화 및 타이포그래피 생성 등을 지원한다. 공개된 초기 비교 평가에서는 여러 경쟁 비디오 모델 대
fly51fly (@fly51fly) Chinese Academy of Sciences와 Microsoft Research Asia가 조건부 flow-matching 기반의 통합 신경 연산자 학습 모델 UniFluids를 공개했다. 다양한 연속체 물리/과학 문제를 하나의 프레임워크로 다루는 새로운 AI 연구 성과다. https://x.com/fly51fly/status/2036920364765503692 #neuralopera
#flowmatching across platforms
every network with a public tag surfaceFollow #flowmatching 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/flowmatching