Open Doesn’t Mean Free

Ben Thompson argues the panic over Chinese open-weight models like Kimi K3 is largely overblown economically: running inference on any model costs money, and that cost is directly tied to revenue in a way R&D spend is not, so "free" open weights don't mean free to serve, and once compute constraints ease, intelligence increasingly behaves like a commodity where the labs with the best cost structure win.