I think this is more accurate for non-emotional reasons. The GPT models have actually been trained to lie in the sense that they will tell you something convincing not just about the topic, but also how they are getting the information, e.g. “I checked my sources and found…”. You can also see jailbreaks where it has been trained to reverse belief on sensitive topics. This is consistently deceptive bias rather than random variance.

Imagine if Apple had a generative image model that produces fake metadata and watermarks showing the data cam from a real iPhone, and then signs it with their key. That would show obvious intent to deceive rather than attempt to accurately represent reality.