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.

    • masterofn001@lemmy.ca
      link
      fedilink
      arrow-up
      23
      ·
      edit-2
      18 hours ago
      SellTheThings () {
          If [ sells this much in this period of time people or supply is low ]; then 
      
      raise.prices
      
      elif [ the opposite ]; then
      
      lower.prices
      
      else
      
      same.prices
      
      fi
      }
      

      A purely mechanical counting/tabulating device could calculate that.

      There is zero actual reason for AI.

      • krooklochurm@lemmy.ca
        link
        fedilink
        arrow-up
        2
        ·
        edit-2
        3 hours ago

        You’re not getting off that easy.

        I’m going to need you to rewrite that so it calculates the time period in both mm/dd/yy format and dd/mm/yy format, and 24 as well as 12 formats for hours.

        No utc time shenanigans. Epoch only. Chop chop.

      • kbal@fedia.io
        link
        fedilink
        arrow-up
        8
        arrow-down
        1
        ·
        17 hours ago

        Only an AI can detect how expensive-looking your clothes are and raise the price based on that.

    • TehPers@beehaw.org
      link
      fedilink
      English
      arrow-up
      11
      ·
      16 hours ago

      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.