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The LLM Knowledge-Reasoning Tradeoff: Why 2026's Best Models Are Deliberately Fact-Minimized — And Faster Than Ever

Community description: Table of Contents The Model That Spent 21 Minutes Drawing a Circle The LLM...

Dev.to | Sep 16, 2026 | Manoranjan Rajguru

Automated excerpt

The paradigm shift of 2026: LLM weights optimized for reasoning, not facts. Parameters spent on facts can't be spent on reasoning. Compact reasoning core surrounded by retrieval tools — knowledge lives in the harness, not the model weights.

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