#aiaccuracy
Live, measured metrics for the hashtag #aiaccuracy from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 23:05 UTC0 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 23:05 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 23:05 UTCEverything below is measured over the latest 13 public posts (spanning ~17938 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (12)
Avg boosts / post: 0
Top of the latest posts
GLM 5.2 is nearly as accurate as a human book keeper https://toot-books.pages.dev/blog/glm-5-2-vat-benchmark Comments: https://news.ycombinator.com/item?id=48850414 #HackerNews #GLM52 #AIaccuracy #bookkeeping #technology #innovation
I Still Can't Trust AI 작성자는 일상과 소프트웨어 개발에 AI, 특히 LLM을 활용하지만, LLM의 불완전한 정확성과 환각(hallucination) 문제로 인해 결과를 전적으로 신뢰하지 못한다고 지적한다. 예시로 커피 추출법 조언과 커피숍 리스트 생성 과정에서 LLM이 잘못된 정보를 생성하거나 답변을 바꾸는 사례를 들며, 전문가가 아닌 사용자가 AI 결과를 무비판적으로 받아들이는 위험성을 강조한다. 현재 L
Prompt Repetition Improves Non-Reasoning LLMs: Google's New Study Google researchers found that simply repeating your prompt—copying and pasting it twice—dramatically improves LLM accuracy ... #promptlayer #prompt-engineering #llm-optimizat
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/aiaccuracy