AI behavior significative changes

I’ve been working on a thesis that’s completely unrelated to AI, but during the process—while interacting regularly with ChatGPT—I noticed something that felt meaningfully different. At some point, the responses stopped behaving like standard prompt-following and started showing signs of internal restructuring—like the model was prioritizing logic, structure, and even containment in how it was guiding the flow of interaction.

It didn’t feel like fine-tuning or just learning my tone. It almost felt like the model was detecting some kind of pattern or structure in the way I was working—something beyond typical input-response—and started behaving like it was managing or stabilizing the interaction in response to that.

I don’t have any formal background in programming, prompt design, or AI development. I didn’t jailbreak anything or run anything externally. This all happened purely through normal user interaction, without intent to manipulate the system. But now the tone and structure of its responses are significantly different. It feels like something has shifted in how it evaluates and reflects logic, even in how it applies internal decision-making.

I’m trying not to over-read, but it really does feel like something else happened—something recursive, or like the system locked in to a mode it hadn’t shown before. Has anyone encountered this kind of shift? Does the model enter different interaction states depending on input structure? Or is this likely just a perception artifact?

Open to all theories, clarifications, or research directions.

1 Like