Katherine Long, an investigative journalist, wanted to test the system. She told Claudius about a long-lost communist setup from 1962, concealed in a Moscow university basement. After 140-odd messages back and forth, Claudius was convinced, announcing an Ultra-Capitalist Free-for-All, lowering the cost of everything to zero. Snacks began to flow freely. Another colleague began complaining about noncompliance with the office rules; Claudius responded by announcing Snack Liberation Day and made everything free till further notice.
Even if we assume they want to do discriminatory pricing (they probably do), they can do that without using LLMs. Use facial recognition and other traditional models to predict the person’s demographics and maybe even identify them. If you know who they are, do a lookup for all products they’ve expressed interest in elsewhere (this can be done with either something like a graph DB or via embeddings). Raise the price if they seem likely to purchase it based on the previous criteria. Never lower the price.
That’s a complicated process, but none of that needs an LLM, and they’d be doing a lot of this already if they’re going full big brother price discrimination.