#benchmarks
Live, measured metrics for the hashtag #benchmarks from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #benchmarks
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:04 UTC17 uses by 15 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 05:04 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:04 UTCEverything below is measured over the latest 40 public posts (spanning ~354 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (38) · French (1)
Avg boosts / post: 0.5
Top of the latest posts
RT Petit Poney de Findus "GPT-5.5(niveau le + élevé de raisonnement) obtient un score de 10,6% sur le dataset ActiveVision tandis que les humains atteignent 96,1%;Fable:3,5% Ce qui est intéressant dans ce preprint ce n’est pas tant qu’un mo
Andrey Fradkin (@AndreyFradkin) Artificial Analysis Index, 파라미터 수 로그, ECI 등 모델 지능 지표와 사용자 Elo 선호도를 비교한 결과, 현재 프런티어 수준에서는 지능이 더 높아져도 사용자 선호도 상승폭이 줄어드는 체감 수익 신호가 관찰된다는 분석이다. 모델 벤치마크 개선이 실제 사용자 체감 품질로 곧바로 이어지지 않을 수 있음을 시사한다. https://x.com/Andr
📊 GLM-5.2 (max) — the actual numbers GPQA: 89.5% Humanity's Last Exam: 40.1% Long Context Reasoning: 71.3% SciCode: 50.5% ⚡ 156.7 tokens/sec 💰 23.8 intelligence points per dollar Measured independently, not self-reported →https://opensour
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/benchmarks