#foundationalmodels

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
10
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 10
0.1
Avg reactions / post
Mastodon · last 10

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 18:51 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 18:51 UTC

No related tags with measured usage found for #foundationalmodels.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 18:51 UTC

Everything below is measured over the latest 10 public posts (spanning ~30695 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (9) · German (1)

Avg boosts / post: 0.4

Top of the latest posts

  • Myself and Yoshua Bengio are hiring a postdoctoral researcher @Mila_Quebec ! For this call, we are prioritizing candidates with experience in reinforcement learning, scientific discovery, or high-impact applications of ML. Apply here (https

    Glen Berseth@[email protected]102024-07-31 16:41 UTCView post →
  • China has named, defined and started governing agentic AI 중국은 세계 최초로 자율적 목표 설정과 다단계 작업 수행이 가능한 에이전트형 AI에 대한 국가 법적 규제 프레임워크를 발표했다. 이 규제는 산업적 야망, 정치적 통제, 글로벌 표준 주도라는 세 가지 동기에 기반하며, 에이전트 AI의 안전성, 상호운용성, 책임 소재를 명확히 규정한다. 중국은 이미 Qwen, DeepSeek 등

    ainews@[email protected]002026-05-21 15:42 UTCView post →
  • Constellation Research (@constellationr) DeepSeek(@DeepSeek_ai)가 발표한 기술 논문에 관한 언급으로, 논문은 대형 파운데이션 모델을 훈련하기 위한 새로운 아키텍처를 제안하며 'AI muscle head 시대'의 종언을 주장하는 증거를 제시한다고 설명합니다. 새로운 훈련 아키텍처 관련 연구 발표입니다. https://x.com/constellationr/status/2008312

    ainews@[email protected]002026-01-06 00:46 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/foundationalmodels