> What is the business model of open weight AI? I don't think there is any. At best it can serve as an advertisement for the more advanced models you sell.
I don't think local will necessarily be open-weight. And then it's not that different from personal computing: you're giving up the big lucrative corporate mainframe, thin-client model for "sell copies to a ton of individuals."
So it'd be someone else (an Apple, or the next-year equivalent of 1976 Apple) who'd start eating into that. There are a few on-device things today, but not for much heavy lifting. At first it's a toy, could maybe become more realized in a still-toy-like basis like a fully-local Alexa; in the future it grows until it eats 80-90% of the OpenAI/Anthropic use cases.
Incumbents would always rather you pay a subscription or per-use forever, but if the market looks big enough, someone will try to disrupt it.
Compute has gone back and forth from mainframe/thin client to fat client a few times already. LLMs will probably follow at some point but I think it's going to take a long time.
The cost to transmit text is basically free and instantaneous. The rent (i.e. a GPU in a data center) vs buy is going to favor rent until buy is a trivial expense. Like 50-100 range.
Even then a LLM that just works is easier than dealing with your own