How much is China learning from open models? Or the other way around, how much is the US losing worldwide mindshare by refusing to allow non-Americans access to bleeding-edge models and letting China fill in the gap? (Playing catchup with Mythos is still catching up, etc.)
The last batch of open weight models releases by Chinese companies are on par with the performance of US-based frontier models, even though they are designed to run on pretty unimpressive hardware.
Furthermore the Chinese models in that class are appropriately large. K3, for example, is a 2.8T-parameter model. Qwen 3.8 Max, another comparable model, is 2.4T params. Even with MoE, these are not "designed to run on pretty unimpressive hardware". Stuff like Qwen3.7-27B is, but it is also not even in the same ballpark as Opus, never mind frontier.
Across all their labs? Probably more than OpenAI and Anthropic learned from Astra/Mythos combined. The American frontier is being driven by an abundance of compute, which doesn't seem to scale efficiently.
> how much is the US losing worldwide mindshare
They're losing US mindshare. I pay $3/month for a Z.AI subscription and get billions of Opencode tokens. The $20/month price point is insane for the way that Claude and Codex treat their users, and that money doesn't go towards anything good like open-sourcing their models. It's a doomed product.