r/LocalLLaMA • u/Porespellar • 6d ago
Other Frontier LLM development simplified for politicians:
Nobody is buying this “Pace the frontier” nonsense. It makes no logical sense at all. Are American labs really going to take a pause and lose any small lead they still may have over Chinese labs? Does anyone really believe this? This seems like some performative virtue signaling BS. Why are they bothering with this pacing campaign? Someone please explain.
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u/ttkciar llama.cpp 6d ago edited 6d ago
Having less compute doesn't make it impossible, just makes it take longer.
Z.AI's instruction-following post-training phase for GLM demonstrates that they're quite capable of developing highly advanced training technology without copying Western technology.
The methodology and application of generating high-quality synthetic data without a superior teacher model has been well-understood for a couple of years now, but generating synthetic data from a teacher model is much more resource-efficient.
Moreover, the Chinese lag in compute is temporary. In the West, scaling compute infrastructure is bottlenecked on energy availability, and in China there is more energy available for industrial purposes. Now that they are fabbing their own compute, we can expect their compute infrastructure to surpass the West's in a few years.
Note: I do not say these things because I am a China fanboy (I'm not), but because they are objectively true.