#aimonitoring

Live, measured metrics for the hashtag #aimonitoring 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 #aimonitoring

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.

$5.00/ year · 12-character #name
Claim #aimonitoring — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0
Avg reactions / post
Mastodon · last 9

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 16:57 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 16:57 UTC

No related tags with measured usage found for #aimonitoring.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 16:57 UTC

Everything below is measured over the latest 9 public posts (spanning ~18174 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (8) · Portuguese (1)

Avg boosts / post: 0.2

Top of the latest posts

  • Stop Monitoring AI Systems Like Web Services 기존 웹 서비스 모니터링 방식은 LLM 기반 AI 시스템의 특성을 반영하지 못해 실사용자 경험과 비용, 품질 문제를 제대로 감지하지 못한다. 저자는 AI 시스템 운영 시 속도, 확장성, 정확성, 신뢰성, 에이전트 행동 등 다섯 가지 핵심 질문에 대응하는 맞춤형 메트릭을 구축할 것을 제안한다. 예를 들어, 토큰 단위 지연 시간, 캐시 적중률, 성공

    ainews@[email protected]♥ 0↻ 02026-06-14 17:40 UTCView post →

  • AI Machine Learning and the COFE-CYEM Vacuum Theory (CCVT) * AI MACHINE LEARNING AND THE COFE-CYEM VACUUM THEORY (CCVT) A Constructive Theological Framework for AI Machine Learning. Author: (Circle One Fellowship Exeter) Date: June 5, 2026

    Circle One Fellowship Exeter (COFE)@exeter4christian2church4devon.wordpress.com@exeter4christian2church4devon.wordpress.com♥ 0↻ 02026-06-05 13:20 UTCView post →

  • Observations on AI agent token consumption 스탠포드, 미시간, 딥마인드, 마이크로소프트 AI, MIT 연구진이 AI 에이전트의 토큰 소비를 대규모로 정량 분석한 논문을 발표했다. 에이전트 작업은 코드 채팅이나 단일 추론 작업 대비 약 1,000배 많은 토큰을 소비하며, 모델별 토큰 효율성 차이가 크고 토큰 사용량 예측이 매우 어렵다는 점을 밝혀냈다. 또한, 높은 토큰 비용이 반드시 더 나은 정

    ainews@[email protected]♥ 0↻ 02026-05-18 19:43 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/aimonitoring