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Friday, 2 October 2026 Reading Room

AI

GroundAnnot: a closed-vocabulary contract for grounding LLM gene-set annotation in live enrichment backends

Motivation: LLM agents increasingly draft functional interpretations of gene lists, but can cite Gene Ontology (GO) terms that no current enrichment backend returned for that list, and can pair real GO accessions with fabricated labels. Results: We present GroundAnnot, a client for PANTHER, Enrichr, and g:Profiler that returns a closed vocabulary of GO term IDs and their backend labels, and…

biorxiv.org ·

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

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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

·dev.to

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

·dev.to

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