
The larger an AI model gets, the more its movie taste starts resembling a film critic’s
Researchers gave eight language models 20,000 forced-choice film comparisons each.
Across OpenAI, Anthropic, Alibaba and Mistral models, the systems consistently preferred critically acclaimed but commercially obscure films over commercially successful films without equivalent critical recognition. Stranger still, that preference grew with model size within each family.
So models may not merely average internet popularity. They appear to absorb prestige hierarchies too, including the old cultural distinction between what lots of people enjoy and what educated discourse tells us deserves admiration.
Which makes recommendation systems slightly more interesting. We may be building synthetic taste-makers out of archived human taste-making.
When you ask AI for a recommendation, do you actually want your taste reflected back, or somebody else’s supposedly better taste imposed upon it?
Primary paper:
https://arxiv.org/abs/2608.06955