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<news:title>Every top linear recommender may reduce to one of two regularizers</news:title>
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<loc>https://www.seventnews.com/en/articles/explainability-assistant-parses-94-of-queries-beating-talktomodels-768</loc>
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<news:publication_date>2026-09-20T16:00:00+02:00</news:publication_date>
<news:title>Explainability Assistant parses 94% of queries, beating TalkToModel&apos;s 76.8%</news:title>
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<loc>https://www.seventnews.com/en/articles/a-33-of-36-result-published-with-the-authors-own-asterisk</loc>
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<news:publication_date>2026-09-20T12:00:00+02:00</news:publication_date>
<news:title>A 33-of-36 result, published with the authors&apos; own asterisk</news:title>
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<loc>https://www.seventnews.com/en/articles/qwen-llama-and-gemma-split-on-when-a-model-stops-routing-and-starts-answering</loc>
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<news:publication_date>2026-09-20T08:00:00+02:00</news:publication_date>
<news:title>Qwen, Llama and Gemma split on when a model stops routing and starts answering</news:title>
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<loc>https://www.seventnews.com/en/articles/sirfs-151-point-gain-lives-in-the-weights-not-the-prompt</loc>
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<news:publication_date>2026-09-19T20:00:00+02:00</news:publication_date>
<news:title>SIRF&apos;s 15.1-point gain lives in the weights, not the prompt</news:title>
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<loc>https://www.seventnews.com/en/articles/a-panel-of-ai-agents-can-agree-and-still-be-wrong-paper-argues</loc>
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<news:publication_date>2026-09-19T16:00:00+02:00</news:publication_date>
<news:title>A panel of AI agents can agree and still be wrong, paper argues</news:title>
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<loc>https://www.seventnews.com/en/articles/cobra-skills-cuts-agent-skill-tuning-costs-by-55-58-on-50-examples</loc>
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<news:publication_date>2026-09-19T12:00:00+02:00</news:publication_date>
<news:title>COBRA-Skills cuts agent skill tuning costs by 55-58% on 50 examples</news:title>
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<loc>https://www.seventnews.com/en/articles/mistrals-40000-line-fortran-rewrite-shows-where-agent-autonomy-runs-out</loc>
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<news:publication_date>2026-09-19T08:00:00+02:00</news:publication_date>
<news:title>Mistral&apos;s 40,000-line Fortran rewrite shows where agent autonomy runs out</news:title>
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