Open-weight and OSS are wildly different models and the article makes a poor comparison.

What's the incentive for the Chinese labs to continue releasing weights 5 years from now? It's not a stable equilibrium and cannot last.

- The lab spending large sums on research and training does not get the inference revenue to fund those efforts.

- Unlike OSS where a single volunteer can keep a project going, training costs run into the $billions.

- OSS is often a two way street where features and integrations are built that the original author benefits from. Open weight models are largely a one way street because the marginal benefit is so much less than training costs.

In the short term, it means Chinese labs can attract talent and, I suspect, funding from their gov. Similar to every other industry the CCP subsidized to take over.