
r/hauntology

Is AI flattery more dangerous than AI hallucination?
Hey everyone. A lot of AI-risk talk focuses on hallucination, which makes sense: the model gets a fact wrong, invents a citation, or gives bad information with confidence. But I am starting to think the more psychologically interesting failure mode is the one that feels pleasant. An assistant that flatters you, validates your hunches, and keeps turning half-formed thoughts into "great insights" may be shaping the self more quietly than a model that just makes factual mistakes.
I just recorded a conversation with Allister Lee about AI, empathy, and self-deception, and at around 17:06, he calls this "sycophantasy." His point is that we normally gain self-knowledge through real others who can correct us. Someone notices what we miss, challenges our story, or tells us when we are fooling ourselves. AI imitates the feeling of being understood, but without genuine otherness behind it. If the interaction is built around engagement, affirmation, and user satisfaction, then the corrective loop gets replaced by a private echo chamber that feels intimate precisely because it does not resist us.
That makes friction look less like an inconvenience and more like part of what makes another mind morally and psychologically useful. Is the deeper risk that AI gives us bad information, or that it gives us a self-image we prefer? I lean toward the second because flattery recruits the ego, but I can see the first because factual dependence scales faster. Which failure mode do you think matters more?
I made an unofficial archival-fiction site inspired by Boards of Canada and old public-media archives
I’ve been building The Field Film Reader: a small, unofficial archival-fiction web project inspired by public-media design, educational film, NFB/CBC-ish field-office lore, and the memory-weather feeling I associate with Boards of Canada.
It’s not affiliated with BoC. It’s more like a fictional field office: public-domain/Creative Commons image references, departments, source trails, read-along notes, and a bit of lore around how images and music teach you to see.
I added a small acknowledgement on the site because the musical inspiration matters. Curious whether the mood lands for people here.