It used to be the case that NSA hired the majority of all math graduates in the US, and were assumed to be years ahead in cryptography. Yet in the 90s, it became clear that they no longer were that - among other things, the cipher of the notorious Clipper chip was broken, and we can rule out that it was made weak on purpose because the whole point of Clipper was that they had a backdoor.
So, despite hiring the cream of the crop of math graduates, who could read the papers of free academia, but whose own result the free world could not access - they fell behind.
I have a theory explaining why. I think it's because science is an interactive process. NSA cryptographers could read papers, but they couldn't talk openly with the authors of those papers, because of secrecy demands - even asking question might indicate what they were working on. You can easily imagine them spending months on something they could have avoided by going to the original authors and getting told "Oh, we tried that for a long time, it doesn't work".
Whether that theory is right or not, cryptography is a concrete example of a domain where public research with fewer resources beat private research with a lot more resources.
Everyone in this thread is getting distracted by nationalism, but you hit the nail on the head. In this case for whatever reason the Chinese AI industry is collaborative and the American AI industry is not. This will result in the Chinese companies making progress faster. Full stop. This isn't a judgement on the merits of either system, only an observation of likely results.
Hasn't that been the mantra of open source for 40 years. Armies of companies, trillions of valuation, or even just Wayland, suggest that isn't always the case.
So free software can only be considered a successful strategy if every single project succeeds?
Reminds me of Dot Net in the early 2000-2012... No one collaborated