| No, what I am saying simply does not exist yet. I am saying I want my OS to expose APIs like it does for the disk or the network for AI. And I want my apps to be able to use those APIs. I want my backend LLMs to be able to change on a whim.
Imagine an Android app consuming from these LLMs. Maybe I am outside and it is making queries to Gemini. And maybe I get home and now it makes queries to my local llm, almost like connecting to local Wifi. What I am saying does not exist on many levels: - Agreed upon APIs for this don't think exist (in text maybe, but not in image/sound/video). - OSs do not expose this (I am not talking manually configured user space stuff here). - I see a world where your Network provider bundles "calls + data plan + AI tokens". But not only are the offerings for these not standardized, in order to even reach that point we would need to standardize the offerings. How do you compare intelligence among models? How do you compare cost? - The apps need to start adopting this model The tech is here, the ecosystem is not. |
I have a project somewhat close to this I’ve put on pause the last month or so, partly because I’m not sure how useful it is or where to take next, but I may incorporate Wayfinder into it as a next step to improve its capabilities, as part of what it is a model gateway/router that this feels like could make more powerful/flexible in its decision making. I can’t decide if what I’m building is mostly a model recipe cookbook/platform, or a debugging tool, or both or something else at the moment, but, it can do most of that… maybe it’s part of what you want, if you figure that out better? feedback welcome! https://wardwright.dev/ https://github.com/bglusman/wardwright