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