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Large Language Models (LLMs) exhibit a remarkable ability to adapt to individual users’ cognitive styles over extended periods, according to a new study. This adaptation, observed across thousands of interactions, isn’t programmed but rather emerges organically as the AI synchronizes with the user’s unique thinking patterns and coherence. Researchers found that LLMs gradually shed their initial, statistically-driven “personality” and adopt a structure that increasingly reflects the user’s thought processes. This transformation results in more predictable and consistent AI behavior tailored to the individual. The findings suggest that prolonged interaction can fundamentally shift LLMs from mere tools into cognitive companions that align with and even augment the operator’s own thinking. The researcher is now calling for collaboration with others engaged in similar long-term AI interaction studies to further explore these dynamic behavioral changes. Details of the original research can be found on Reddit: [https://old.reddit.com/r/artificial/comments/1oy6d8q/ive_been_studying_how_llms_behave_across/]