#reliability

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

hashtag.org network · sponsored

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$10.85/ year · 11-character #name
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2
Uses / 7 days
Mastodon
2
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 04:27 UTC
0
07-21
0
07-22
0
07-23
1
07-24
0
07-25
1
07-26
0
07-27

2 uses by 2 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 04:27 UTC
#reliabilityengineer
0 uses · 0 accounts / 7d
#reliabilitytested
0 uses · 0 accounts / 7d
#SiteReliabilityEngineering
1 uses · 1 accounts / 7d
#NetworkReliability
0 uses · 0 accounts / 7d
#reliabilitybackstop
0 uses · 0 accounts / 7d
#communicationReliability
0 uses · 0 accounts / 7d
#reliabilityengineering
0 uses · 0 accounts / 7d
#SafetyAndReliability
0 uses · 0 accounts / 7d
#reliabilitycrisis
0 uses · 0 accounts / 7d
#site_reliability_engineering
0 uses · 0 accounts / 7d
#reliability_diagram
0 uses · 0 accounts / 7d
#reliabilityimprovements
0 uses · 0 accounts / 7d

Live pulse

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

Everything below is measured over the latest 40 public posts (spanning ~1304 hours).

Posting hours (UTC) — busiest: 18:00

00:0012:0023:00

Languages: English (39) · Russian (1)

Avg boosts / post: 0.6

Top of the latest posts

  • Good morning! 🌞 Today is the first day of the ESA RAMS Conference at ESA/ESTEC in Noordwijk/Netherlands. Three days packed with lots of interesting talks and opportunities to exchange. We will also have keynotes from ESA astronaut Samantha

    Jan GROSSER, Dr. rer.nat.@[email protected]♥ 1↻ 02026-06-23 05:09 UTCView post →

  • Opus Video Clips (@videoclipthis) Marah Abdin의 발표 클립으로, AI 학습 환경에서 고장 난 GPU가 조용히 잘못된 데이터를 만들거나 학습 결과를 오염시킬 수 있다는 문제를 다룹니다. 대규모 학습 운영에서는 GPU 하드웨어 상태 검증, 데이터 무결성 검사, 이상 징후 모니터링이 필요하다는 인프라 신뢰성 주제입니다. https://x.com/videoclipthis/status/20811930

    ainews@[email protected]♥ 0↻ 02026-07-26 08:49 UTCView post →

  • fly51fly (@fly51fly) CMU와 Meta 연구진이 LLM의 불확실성 평가 방식을 재검토하는 연구를 공개했다. 모델의 신뢰도 추정·캘리브레이션은 에이전트의 자율 실행, RAG 응답 검증, 고위험 작업에서의 사람 검토 전환 기준 설계에 중요한 주제다. https://x.com/fly51fly/status/2080409566895042720 #llm #uncertainty #evaluation #reliability

    ainews@[email protected]♥ 0↻ 22026-07-24 18:53 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/reliability