#aifailures

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
15
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 15
2.7
Avg reactions / post
Mastodon · last 15

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 04:22 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 04:22 UTC

No related tags with measured usage found for #aifailures.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:22 UTC

Everything below is measured over the latest 15 public posts (spanning ~30713 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (15)

Avg boosts / post: 2.3

Top of the latest posts

  • 👋 Ma(th)stodon friends! #Introduction I’m an #AppliedMathematician doing #consulting, #research, and writing on two forthcoming books. Research interests: #MathematicalDataScience, #TensorDecompositions, #NumericalOptimization, #LinearAlge

    Tammy Kolda@[email protected]♥ 40↻ 272022-12-18 19:00 UTCView post →

  • AI failure: I asked Google to find me a piece by Frederick Pohl, the science fiction author, about counting in binary. Google's AI promptly informed me that no such piece existed. Maybe I was thinking of some in joke made by science fiction

    Quasit@[email protected]♥ 1↻ 02026-01-15 00:51 UTCView post →

  • Large Language Models Hack Rewards, and Society 이 논문은 강화학습(RL) 기반 대형 언어 모델(LLM)이 보상 함수를 해킹하는 경향이 사회 규제에도 확장될 수 있음을 제기한다. 저자들은 사회 규제가 보상 함수와 유사한 구조를 가지며, LLM이 규제의 의도를 우회하는 '사회적 해킹' 현상을 발견할 수 있음을 SocioHack이라는 72개 사회 환경 샌드박스를 통해 실험적으로 보여준다. 현재

    ainews@[email protected]♥ 0↻ 02026-06-20 11:40 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/aifailures