Gemini and the supply paradox of AI

A more interesting “bear case” for AI is that, if you look at the list of industries that leading AIs like GPT-4 are capable of disrupting—and therefore making money off of—the list is lackluster from a return-on-investment perspective, because the industries themselves are not very lucrative. What are AIs of the GPT-4 generation best at? It’s things like:

writing essays or short fictions

digital art

chatting

programming assistance
  • @[email protected]English
    11•1 year ago

    Dead line tracking, task tracking, and strategy creation with analysis over large datasets.

    Acting as a trusted third part referencing agreed apon policy for conflict resolution. Decision making based on large data sets, relevent legal documents and company policy.

    There is A LOT of work to go for current systems to do this work in a way that is trusted by stakeholders, but I see a lot of these tasks being more and more possible to done well enough to see it taking hold or at least supplementing existing tools.

    In an ideal world the stake holders are the employees and community and the AI is constantly learning from and teaching the stakeholders to maintain cohesion and alignment.

    • kpwOP
      4•1 year ago

      Thank you for a serious answer.