#llmfailures

Live, measured metrics for the hashtag #llmfailures 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
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 19:20 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

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 2026-07-29 19:20 UTC

No related tags with measured usage found for #llmfailures.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 19:20 UTC

Everything below is measured over the latest 2 public posts (spanning ~132 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0

Top of the latest posts

  • Large Language Models (LLMs) are transforming industries, but their success isn’t guaranteed. https://hackernoon.com/how-llms-could-fail-if-we-dont-act-proactively #llmfailures

    HackerNoon@[email protected]002026-07-02 00:42 UTCView post →
  • [AI에게 주도권을 빼앗기지 마세요 — 두 번의 자동화 실패에서 배운 것 AI 자동화 실패 두 가지 사례(자동매매 시스템과 블로그 자동발행)에서 AI에게 주도권을 넘긴 것이 원인으로 분석. 저자는 '깊이 있는 문해력'과 '결과물 평가 능력'을 키우는 것을 중요시하며, 이를 실천하기 위한 방법으로 개인 데이터 학습 LLM Wiki와 AI 행동 제약 시스템(Harness)을 제시. 실패담은 구체적인 경험을 통해 공감과 반박을 유도

    ainews@[email protected]002026-06-26 12:37 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/llmfailures