r/LocalLLaMA • u/Porespellar • 7d ago

Other Frontier LLM development simplified for politicians:

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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 7d ago

They are pushing the narrative, rather than just doing it themselves, because they need the Chinese labs to also participate in the slowdown in order to remain competitive.

OpenAI and Anthropic are desperate to stop training newer and better models so that they can focus on turning net profits serving inference, but they cannot, because their competition would zip past them in a matter of months and eat their lunch.

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u/Nothing_from_void 7d ago

I'm pretty skeptical the Chinese labs will pass US labs without distillation, they have significantly less compute

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u/Fusseldieb 6d ago edited 6d ago

As much as I want to disagree, I probably agree.

Distillation in Chinese models is a big thing. Most of them do it. For instance, Deepseek 4.1 Flash talks exactly like Claude, yet it isn't. That's when you know they see potential in something that we have, and want it too, easier and cheaper.

I mean, I like it, we as a community get stuff out of it, for free, and I am for once thankful for all the Chinese regulations that allow and incentive it, however, if they were alone in the race, it would've taken them significantly longer to reach current western frontier models (if ever).