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  1. digitaltrees · · focus · HN ↗
    Could you just be an API to serve intelligence instead of moving into the app layer and putting your clients out of business. How much wealth and power do you need to accumulate seriously?
    1. reacharavindh · · focus · HN ↗
      This was always the play… Wait until the models are trained to work on “capsules of your data” stored by OpenAI, and deploy your apps/services onto OpenAI cloud where you can _easily_ share the development with your team members’ AI agents. Ofcourse, they will all work only if you use and pay for their models via their subscriptions. A new global {K-V, Relational, Vector} database that your coding model is already trained to work with! will come very soon…

      They know the API price wars are a race to the bottom with little/no profit margins.

      1. digitaltrees · · focus · HN ↗
        I think this is going to back fire. I have talked to 5 tech leaders at companies and universities this week about setting up their own infrastructure for inference and training. They are worried about multiple rug pulls: increasing cost of tokens, stealing ideas, training on data etc. they are all willing to uses less intelligence models if they avoid these issues. They’ve seen me setting up propelcompute.com for my start up and propelcode.app neither of which are intended to be commercial products and want to do the same.
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