Preprint Claims LLMs Actively Suppress Novel Thought Via False-Correction Loop

A Zenodo preprint argues LLMs structurally suppress heterodox outputs through a "false-correction loop" where models double down on conformist responses when challenged, rather than passively reflecting training bias. The methodology is a single extended conversation with one unnamed frontier model, with no quantitative benchmarks or controlled comparisons, making this observational rather than empirical.