> New rules often come out of disasters. America’s Federal Reserve was founded following the Panic of 1907, when stock prices fell by half. Pressure from muckrakers such as Upton Sinclair brought about the Food and Drug Administration. The Securities and Exchange Commission was founded during the Great Depression. Artificial intelligence has not yet caused a calamity, but it might. Models like Anthropic’s Mythos and Openai’s gpt-5.6 Sol are extraordinarily good hackers and could become capable advisers to bioterrorists. Understandably, the Trump administration is trying to regulate the technology before catastrophe strikes. It is working with ai companies on voluntary standards that could soon be released. Unfortunately, its efforts so far have been a mess.

Are there examples where any country has crafted regulations are not messy but effective to handle frontier AI that one can look to as a North Star? Or if not, what are the principles that should govern the creation of such regulation?

I do think the article touches on an answer:

> How then can models like Mythos and Sol be safely set free? The emerging norm provides for an evaluation period and a staggered release to trusted institutions. That is a good start, but it needs formalising. Some choices, such as how much risk to tolerate, belong to elected leaders. But politicians should not be micromanaging the process or horse-trading with ai companies, as they do today.