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UAE workers save 3.6 hours a week with AI — but spend 3.4 hours fixing its mistakes

Workday research finds UAE employees are embracing AI at work, but almost all of the reported time savings are offset by time spent correcting, clarifying or rewriting low-quality outputs

We haven't written up this one. Arabian Business has the full story — the link below goes straight to it.

Read the original at arabianbusiness.com →

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Jev and Laya beyond the hype: what decision models do that LLM doesn't do

No meu setup de agentes, eu fiz o que todo dev faz no começo: cada subagente acordava com o melhor modelo do SWE-bench por padrão. Typo no README, rename de variável, tudo rodando no topo do ranking.

  • Jev and Laya serve as decision-making models in the system
  • Jev chooses from a finite set of options, LLM writes when needed
  • Downshift separates decision-making from execution, improving efficiency

Who's actually blocking AI crawlers in Europe? A 185-site census (first dated point)

Dated: 2026-10-01, 17:15–17:22 UTC — single crawl pass, fixed panel, fixed method. Pennyforge research artifact. $0 data (public robots.txt + /.well-known/ai-crawler , plain HTTP with a browser…

  • 185 European websites studied in AI crawler census
  • 65.4% of sites have robots.txt file, but 64% lack AI crawler info
  • 18.9% of sites implement hard opt-out, blocking all AI crawlers

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