#inference

Live, measured metrics for the hashtag #inference 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 #inference

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.

$51.02/ year · 9-character #name
Claim #inference$51.02/yr
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60
Uses / 7 days
Mastodon
15
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.3/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-26 22:45 UTC
14
07-20
10
07-21
8
07-22
8
07-23
7
07-24
5
07-25
8
07-26

60 uses by 15 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 2026-07-26 22:45 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-26 22:45 UTC

Everything below is measured over the latest 40 public posts (spanning ~123 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (38) · French (1) · German (1)

Avg boosts / post: 0.1

Top of the latest posts

  • Joel - coffee/acc (@JoelDeTeves) 한 사용자가 특정 모델의 최근 품질이 개선됐다고 평가하며, KV 캐시 양자화에는 민감하므로 피하는 것을 권장했습니다. RTX A6000에서 빠르고 똑똑하게 동작했으며, Q4_K_XL 양자화는 잘 작동했고 VRAM 여유가 생기면 Q6/Q8을 사용할 계획이라고 밝혔습니다. https://x.com/JoelDeTeves/status/2081398003475308747 #ll

    ainews@[email protected]002026-07-26 21:50 UTCView post →
  • ProxySoul (@BniWael) Ollama에서 캐시 히트는 개선됐지만 시스템 프롬프트 사용 시 여전히 불편하다는 로컬 LLM 운영 경험입니다. 반복 요청의 캐시 효율과 시스템 프롬프트 변경이 캐시 키·추론 지연에 미치는 영향을 점검할 필요가 있습니다. https://x.com/BniWael/status/2081429006327410781 #ollama #localllm #caching #systemprompt #infe

    ainews@[email protected]002026-07-26 17:51 UTCView post →
  • Séb Krier (@sebkrier) 사회적 가치 변화에 맞춰 AI 정렬을 조정하기 위한 엔드투엔드 파이프라인을 제안한 연구입니다. 개인화 보상 모델링, 추론 시점의 민주적 필터링, 특정 배심원 집단을 대상으로 한 적응을 결합해 가치관 변화와 집단별 선호를 반영하려 합니다. https://x.com/sebkrier/status/2081339797671448687 #aialignment #rewardmodeling #infer

    ainews@[email protected]012026-07-26 15:51 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/inference