

Ah, in that dimension what I see seems similar to oil processing, again. They are generally all similar. Better datasets - better output. A natural curve of expenses and results.
A competitive open-source LLM makes sense ; but the real asset is data. So said LLM will be hosted (or provided with computing power) commercially to work on said processed data, usually. There are no anarchist free gas stations, and just like that it will be a building block of businesses.
Well, if we continue my analogy, government-run oil processing plants and gasoline subsidies have not historically worked well.
It’s a device of investing hard power into computing.
That cropland will repurpose itself by market laws if the change is so dramatic, I think it is. I don’t like the AI hype, but the major change of converting hard power into data and data into answers to questions is potent enough. It’s not just the difference in energy volumes between ethanol and solar power, it’s also that liquid fuel is easier to store. It’s not an equal comparison you’re making. But if the energy demand is skewed enough on the side of grid-connected datacenters, then economically solar power might become more attractive.
I think oligopoly on data is the main threat to this. Datacenters and hosters providing power to run whatever you want with whatever data you want are not the bottleneck for competition and good evolution.
Various data harvesting farms in which users roam are.
It’s funny, I’m optimistic lately and feel like this family of technologies is slowly killing the oligopolies of previous generation. Well, not themselves, but the mechanisms that brought them into existence. Of course they too have moved on past those, but it’s sort of an improvement.