#aibenchmark

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

hashtag.org network · sponsored

Own #aibenchmark

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.

$10.85/ year · 11-character #name
Claim #aibenchmark — $10.85/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
20
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 20
0.4
Avg reactions / post
Mastodon · last 20
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-03 12:55 UTC
0
10-28
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03

0 uses by 0 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 2026-11-03 12:55 UTC
#aibenchmarks
4 uses · 4 accounts / 7d
#aibenchmarking
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-03 12:55 UTC

Everything below is measured over the latest 20 public posts (spanning ~19879 hours).

Posting hours (UTC) — busiest: 16:00

00:0012:0023:00

Languages: English (19) · German (1)

Avg boosts / post: 0.3

Top of the latest posts

  • "The State of Information Retrieval in 2026" This is the best survey article I have seen in a long time in this niche. The dominant retriever in 2026 is an 8-billion-parameter decoder-only language model fine-tuned on synthetic data, condit

    MottG@[email protected]♥ 7↻ 42026-04-27 03:14 UTCView post →

  • Artificial Analysis (@ArtificialAnlys) Artificial Analysis가 10월 말 Intelligence Index v5를 공개할 예정이라고 밝혔다. 새 버전에는 Terminal-Bench Science와 비공개 데이터셋 기반의 신규 코딩 벤치마크가 포함된다. 프런티어 모델 비교 지표가 과학적 터미널 작업과 코드 작업 평가를 확장하는 움직임으로, 공개 후 모델 선정·평가 기준에 영향을 줄 수

    ainews@[email protected]♥ 0↻ 02026-10-08 18:55 UTCView post →

  • Artificial Analysis (@ArtificialAnlys) Artificial Analysis가 직무별 AI 역량을 측정하는 Capability Indices v1.1을 발표했습니다. Intelligence Index v4.3의 핵심 평가와 전문 도메인 평가를 결합하고, O*NET 직업의 업무를 해당 벤치마크에 매핑해 모델의 직무 수행 역량을 비교합니다. https://x.com/ArtificialAnlys/stat

    ainews@[email protected]♥ 0↻ 02026-09-14 23:54 UTCView post →

#aibenchmark across platforms

every network with a public tag surface

Follow #aibenchmark straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/aibenchmark