#multimodal

Live, measured metrics for the hashtag #multimodal from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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Own #multimodal

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$23.52/ year · 10-character #name
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27
Uses / 7 days
Mastodon
11
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.2/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-26 23:02 UTC
2
07-20
5
07-21
2
07-22
6
07-23
8
07-24
2
07-25
2
07-26

27 uses by 11 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 2026-07-26 23:02 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-26 23:02 UTC

Everything below is measured over the latest 40 public posts (spanning ~254 hours).

Posting hours (UTC) — busiest: 02:00

00:0012:0023:00

Languages: English (38) · German (2)

Avg boosts / post: 0.4

Top of the latest posts

  • Black Forest Labs has released FLUX 3, a multimodal foundation model that generates images, video, audio and robot actions from a single architecture. The model produces up to 20-second video clips with native audio and outperforms competit

    AIagent.at 🤖 AI News@[email protected]012026-07-26 17:51 UTCView post →
  • Ivan Fioravanti ᯅ (@ivanfioravanti) MLX 기반 비전언어모델 프레임워크인 mlx-vlm에 Mage Flow가 추가됐다. Apple Silicon 환경에서 MLX/VLM 워크플로를 사용하는 개발자에게 관련 기능 확장 소식이다. https://x.com/ivanfioravanti/status/2080965873397838276 #mlx #vlm #applesilicon #multimodal #opens

    ainews@[email protected]002026-07-26 05:48 UTCView post →
  • True open-source LLM Apertus 1.5 released Apertus 1.5가 8B·70B 규모로 공개됐으며, 가중치뿐 아니라 학습 데이터·학습 세부사항까지 공개하는 완전 오픈소스 방식을 유지한다. 이전 버전에서 추가 사전학습을 수행해 8B에는 텍스트·멀티모달 데이터 4조 토큰, 70B에는 2조 토큰을 더 투입했다. 새 모델은 네이티브 이미지 이해, 선택형 thinking mode, 262,144토큰 컨텍스

    ainews@[email protected]012026-07-25 19:39 UTCView post →

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/multimodal