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A deep dive into symbolic vs. neural AI paradigms — exploring type theory, category theory, and algebraic geometry as mathematical bridges toward neuro-symbolic integration.

Are large language models truly intelligent? This article analyzes core AI limitations — pattern matching, hallucinations, reasoning deficits — and explores next-gen directions like inference-time compute, neuro-symbolic AI, and embodied intelligence.