America Needs An Open-Source AI Strategy

A new divide has opened up in AI. Open versus closed. Scaling of open source models. I think it's going down a very dangerous path.

Open source models that are excellent should be used. Closed AI is what most people know. OpenAI's ChatGPT, Anthropic's Claude, Google's Gemini their most powerful models.

They control the price, the rules, you pay for access. Open weight AI is different. The model can be downloaded, inspected, customized, run on your own infrastructure, and it's often cheaper.

China's deep tech was the wake up call, then z.AI's latest GLM model. Now moonshots Kimmy K three - China is taking over.

They have a dominant share, no question. And the biggest players in American AI, they're now calling for open source AI too.

But Washington's AI strategy is still focused on hardware. Protect the chips, build the data centers, add the power, all while China gains ground in the models, the world is increasingly running on.

The vast majority of humans on the planet will use Chinese models. Why? Because they're free. I'm Deirdre Bosa. America has a chip strategy for AI.

Now it needs an open source strategy.

China's open source AI momentum has Washington's attention. What is less clear is what it plans to do about it. So far, the U.S.

response has centered on the risks. Looking at us, and we're looking at them. But we're leading now China substantially in AI, and we're going to keep it that way.

But it's hard to contain something built to spread with fewer advanced chips. Chinese labs, they had to compete on efficiency, smaller models, cheaper training, lower costs to run.

And then they release many of them as open weight models, meaning developers can download and customize them, run them on their own servers.