It’s similar with cars. It’s not that American cars are better than Chinese cars on any tangible measurement. But America already shipped most of its manufacturing overseas. Everyone who built those factories is retired. The US should probably hold on to some capacity to make cars, seeing as their entire infrastructure depends on them.
See eg https://en.wikipedia.org/wiki/Friedrich_Merz#Private_sector_... for the current chancellor. Many past chancellors were also lawyers, and many members of the Bundestag were and are lawyers.
I don't know whether having lawyers in power leads to industrial decline. My point is only that you can't use Germany as a counterexample.
This is already kind of the case: the big enterprises don't really want to touch the latest Chinese models. It's a real pain, personally, I want to use them at work!
2. Enterprise trends are towards open weights, several routers and vendors now have more than half the volume going towards open weights
His first tweet ever, from this last July
https://images.nvidia.com/pdf/Open-Weights-and-American-AI-L...
I do imagine it'll change, but it hasn't yet.
Until profitable, reputable third parties host open models in the US with ZDR or they become plug-and-play for self-hosting at a modest cost, paying the US models is as much about data protection and liability as performance.
Local LLM's are hit worse. Its about 6k for 5090 or 15k for an RTX 6000 and the Mac Ultra 256 is upwards of 12k.
Sure if you already have hardware, you can frankenbuild a system - but even the "affordable" dev stations of the DGX Sparks went from 3500 to 5k and upwards of 8k depending on vendor.
All the meanwhile, OpenAI pushed Luna 6 which is crazy cheap suggesting they have flash models to compete with Chinese models.
I just hope we see more open weights. Nvidia has NEMO but their license doesn't allow NEMO to be re-used on say, Apple or ROCm - Nvidia hardware only. Big ol MEH