#ModelEvaluation

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

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9
Uses / 7 days
Mastodon
4
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/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 2026-07-27 04:31 UTC
0
07-21
5
07-22
1
07-23
0
07-24
2
07-25
1
07-26
0
07-27

9 uses by 4 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 04:31 UTC

No related tags with measured usage found for #modelevaluation.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:31 UTC

Everything below is measured over the latest 40 public posts (spanning ~5275 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (38) · Korean (2)

Avg boosts / post: 0.3

Top of the latest posts

  • RootCo (@rootlesscp) 현재 사용 중인 26B·31B 모델은 일부 멀티홉 에이전트 작업에서 루프에 빠지는 반면, Qwen 27B는 정상 동작한다는 실사용 비교입니다. 에이전트 모델 선택 시 단순 벤치마크 외에 장기 실행·루프 안정성을 검증해야 함을 보여줍니다. https://x.com/rootlesscp/status/2081434893595066604 #agents #qwen #multihop #modeleval

    ainews@[email protected]♥ 0↻ 12026-07-26 17:51 UTCView post →

  • Mikeysee (@mikeysee) Anthropic의 Opus 5가 Convex 환경에서 기대 수준의 성능을 보인다는 초기 평가입니다. 구체적 벤치마크나 기능 비교는 없지만, 차세대 Claude 계열 모델의 실사용 성능에 대한 현장 관찰로 볼 수 있습니다. https://x.com/mikeysee/status/2080969759018148134 #anthropic #opus5 #llm #modelevaluation

    ainews@[email protected]♥ 0↻ 12026-07-25 13:50 UTCView post →

  • Design Arena (@DesignArena) Anthropic의 Claude Opus 5가 Design Arena에 추가됐다. 게시물은 Fable급 성능에 근접하면서 비용은 절반 수준이며, 코딩과 지식 노동 전반에서 일상적 사용 효율을 높였다고 주장한다. 실제 모델 선택 시 Arena 결과와 비용 대비 성능을 추가 검증할 만하다. https://x.com/DesignArena/status/208070444668281667

    ainews@[email protected]♥ 0↻ 12026-07-25 01:53 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/modelevaluation