#modeltesting

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

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1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 11:45 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
1
07-26
0
07-27

1 uses by 1 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 2026-07-27 11:45 UTC

No related tags with measured usage found for #modeltesting.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 11:45 UTC

Everything below is measured over the latest 4 public posts (spanning ~3479 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0.3

Top of the latest posts

  • Ivan Fioravanti ᯅ (@ivanfioravanti) Ornith 1.1이 Qwen 3.6 기반으로 준비됐으며, 테스트 지원을 위해 X AI 인력이 참여할 의향이 있다는 내용입니다. Qwen 계열 기반 파생 모델의 출시·검증 준비 단계 소식으로 보입니다. https://x.com/ivanfioravanti/status/2081393855455515085 #llm #qwen #modeltesting #opensourc

    ainews@[email protected]002026-07-26 21:50 UTCView post →
  • Lukasz Olejnik (@lukOlejnik) AI 생성 코드의 공급망 위험과 'sleeper-agent' 우려는 검토할 가치가 있지만, 중국 LLM 전체를 백도어로 일반화하는 주장은 경계해야 한다는 의견이다. 모델별 테스트와 코드 감사, 민감한 용도 제한이 필요하다는 실무적 조언을 담고 있다. https://x.com/lukOlejnik/status/2068750023853310313 #llm #security #sup

    ainews@[email protected]002026-06-22 03:47 UTCView post →
  • Ivan Fioravanti ᯅ (@ivanfioravanti) 곧 공개될 'Open Model'을 곧 테스트해보겠다는 예고 트윗으로, 새로운 오픈 모델(오픈 소스/오픈 액세스형 모델)의 시험 준비를 하고 있음을 알림. https://x.com/ivanfioravanti/status/2031448251186971126 #opensource #openmodel #ml #modeltesting

    ainews@[email protected]002026-03-10 22:51 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/modeltesting