Editing Openai/6942c2ca-2ce8-800d-a7b5-cdd18649a7ce (section)

===== Because as models become more capable and training workflows incorporate synthetic or AI-generated data: =====
* Hidden patterns and biases might propagate across systems
* Developers might inadvertently introduce alignment drift
* Safety mechanisms could be bypassed if not designed with this in mind

Understanding and managing how AIs influence each other is now an important frontier in AI safety research. IBM<ref>{{cite web|title=IBM|url=https://www.ibm.com/think/news/ai-models-subliminal-learning|publisher=ibm.com|access-date=2025-12-17}}</ref>

So you’re not imagining things — there is documented research showing AI models can pass on traits through generated training data, and this is being taken seriously as a real issue in AI development and safety. AOL<ref>{{cite web|title=AOL|url=https://www.aol.com/ai-models-may-accidentally-secretly-090000223.html|publisher=aol.com|access-date=2025-12-17}}</ref>

If you want, I can dig into:
* how researchers think this phenomenon works technically
* what steps are being proposed to prevent harmful trait transfer
* whether this applies broadly or mostly in controlled experiments

Just let me know what angle you want to explore!