I get it you may not work in this industry or know the workings of how an AI company seeking frontier AGI WOULD operate but its helpful in connecting ideas and concepts by adding a proposed solution if for nothing more than to show the direction of your thinking.

Sure some people may talk smack about your idea but I've learned that the difference between someone who complains for the argument of complaints and those who complains to fix things have different forms of thinking. The latter may be wrong but its an indicator of HOW that person thinks which is always valuable.

Thanks for the blog.

And I wonder whether then subscription model is just a way to create a demand for API. For example, I’m building this portal with the support of an LLM for coding, but then I will need to have an LLM using API token to run the platform giving them additional revenue, a demand that did not exist without the coding I did with the subscription.

This is such an odd and illogical conclusion. If a smaller model can be sufficient (which is not something I would have said), that smaller model can be ran in a datacenter. The idea that a small model running at home is 'sipping' while that same small model in a datacenter is 'slurping' is absurd. The datacenter will have much greater overall efficiency in both power usage and total cost to implement. Of course if you compare a small home model to a DC frontier model the power usage is different, but so is the output.