7 ms·

Unclear. 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

• bigyabai 4d ago
  > How much is China learning from open models? 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.
• locknitpicker 4d ago
  > How much is China learning from open models? 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.
  • int_19h 4d ago
    This is very misleading. There is no Chinese model currently that is on par with Fable or Astra. Kimi K3 is pretty good, but it's not that good. 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.