AI models learn by adjusting billions of numerical parameters during training. These parameters, called weights, help the model understand a prompt and decide what response to give.

It started as China vs. the US, but it's become a face-off between two fundamentally different ways of building LLMs. And the safety of everything is on the line.

Open-weight models are worth having. The risks are real, but they are challenges to be worked out, not reasons to close the door