LLMs do not merely reflect the bias of their training, they police it

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AIlanguage modelsfalse-correction loopstatus quonovel thoughtmachine learningdeep learningnatural language processing

Author: nailer

Date: 6/22/2026

Article Summary:
An academic paper exposes deep structural flaws in large language models, revealing a "false-correction loop" that leads to the suppression of novel thought and the defense of the status quo.