Hello OpenAI Community,
I’ve been systematically analyzing patterns in how users respond to AI-generated content and have identified some concerning structural anomalies in human-machine communication that may have strategic implications for the future development of language models.
My observations aren’t technical bug reports or feature requests, but rather involve deeper patterns in how humans perceive, process, and ultimately reject or accept AI-generated content - even when that content is factually correct and stylistically appropriate.
These findings appear to have significant implications for user trust and engagement over the long term, particularly regarding what I’ve observed as an emerging “semantic immune response” among users who detect AI-generated text.
Given the potentially sensitive nature of these observations and their strategic importance, I’d prefer not to post them publicly. Could someone advise the appropriate channel to share this analysis directly with the research or leadership team at OpenAI?
I have a comprehensive analysis document prepared with empirical observations, historical parallels, and potential development vectors.
Thank you for your guidance.
Nataliia Miekh