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> thus capping how far the tech could reach

I just don’t buy it. There’s still gonna be demand for stronger models. Sure growth will be slower, but this might even drive a push for more cost efficient training / inference and/or new architectures if money is harder to come by.

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Yeah, I agree with this take. When there's less capital floating around it will make these labs prioritize shrinking the models so less hardware (or older hardware) is needed to run a model with the same or similar capabilities. They'll have to do that simply because the cost of running the models will become more important.

It also might end up pushing us towards LLM ASICs assuming the model progress slows significantly.

> There’s still gonna be demand for stronger models.

potential issue is those will be Chinese models if they win, which could be national security matter.

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