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While a valid point, China also produces plenty of whitepapers going about the architecture and know how about the training and inference itself.

There’s also the fact that unless LLMs do get to AGI (which seems… doubtful, still) there comes a point where a model is good enough for what you need. Fable and gpt 5.6 are certainly pretty neat, but I’ve been happy since opus 4.6. I’d still choose a better model, obviously, but it’s not the end of the world if I was stuck with 4.6 for a while when it already lets me get the end result at acceptable quality.

It also needs to be said that the "erosion of training capability in other countries" is largely theoretical, given that Mistral hasn’t been keeping up and other countries don’t even have anything worth mentioning. You’d first need to _have_ training capability to lose it.

by rikima_1 days ago|

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So either you openweight it, or not. Neither is good for other countries, according to this logic.

by DanielHB1 days ago|

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Ideally there would be open weight models from multiple geopolitical areas. It is not that different from telecom really, you don't want the whole world to be dependent on a single provider from a single country on this kind of stuff.

by CamperBob21 days ago|

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What people should be afraid is the rug pull.

How exactly do you plan to pull a rug that's in my basement? The only people who are in a position to pull rugs are closed-model vendors.

And if a nation-state or other entity can't train a model that outperforms the open-weight SotA in a given respect, then they shouldn't waste electricity trying. A more-enlightened civilization would join forces and make the combined result available to all.