LLMs lack causal reasoning: pattern recognition vs human thought
Nasereliver · x · 2026-08-21
Discusses the distinction between human cause-and-effect thinking and ML pattern recognition, arguing that correlation is not reasoning. Highlights LLM limitations in learning only correlation patterns without a mind, citing concepts like Simpson's paradox to explain the inherent blindness of data.
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