The nation that can measure the AI frontier will be the one that steers it. Our future should not be steered by speculative warnings. We have to be driven by evidence. That was the clearest takeaway from this week's AI conversations at the UN General Assembly. Governments need to get serious about testing frontier AI, and nowhere is that more urgent than in Washington. Getting serious means three things: → Clear responsibility for testing across agencies → Access to models before they're deployed → Funding for the experts and tools to do the work Scale AI's cyber research shows what testing can reveal. We've seen AI agents carry out an attacker's instructions while still finishing the user's task, so the user never knew anything went wrong. We've also seen models refuse to help people defend their own systems. Both are failures. Real testing has to measure the harm AI can cause and the help it fails to give. Government shouldn't have to rely solely on AI developers to explain these failures. It needs its own testing capacity, with the expertise to ask hard questions and the tools to answer them. Scale has worked with the U.S. government for years to test the risks and capabilities of AI models, and we're accelerating that work in the months ahead. Here's what we think America should do next: