A published policy with the right to appeal exclusions from the list.
An equal standard for all companies rather than ad hoc application.
A countervailing policy to mitigate the unfair advantage conferred on the companies that have early access (such as a higher tax rate that goes to fund ai job loses, and a commitment that AI use of the new models won’t result in layoffs).
A requirement that hardware is made available for open source models rather than locked up in by the AI labs.
A restriction on AI labs being vertically integrated from hardware all the way up through the app layer. I would restrict AI labs to being API providers and prohibit them from building apps. That would allow an ecosystem of independent software development on the app layer without fear of being copied by the labs that have an unfair advantage in seeing the data while apps are being built, the usage data as they become successful and the ability to undercut competitors by subsidizing tokens unfairly.
That would convince me that the US Administration is capable of good governance and interested in a regulatory environment that furthers the public good and curtails excessive corporate power. A tough sell indeed. But that was not the question. They can be incompetent and corrupt and favouring the interests of their buddies, and also genuinely believe that the models are actually becoming dangerous (especially in the hands of other countries). It's simply impossible to tell what mix of motivations led to this mess.
I stand by my answer. They could have a televised address laying out a robust analysis of all the risks. Until their actions don't display clear explicit pay to play selection of winners and lasers, state capture of corporate power and use of technology to prolong republican political power nothing but actual good policy would be sufficient to demonstrate good intent.
The latter question is 100% reasonable, and something I also fall on.
But there's definitely a large contingent who denies that they think there's any risk at all, instead of them engaging in motivated reasoning to think their self interest just so happens to coincide with what is best for safety.
I might be un-convinced if someone published a clear technical explanation of what error these companies have all made. The only counterarguments I've seen so far are vague speculation about how bubble dynamics might incentivize them to say it worked great, and to me that's not persuasive.
Of course not. I like to complain that AI is dangerous and should be regulated and then out of the other side of my mouth complain that it is unfair and a gimmick if the government tries to regulate anything.
Why? Because I am a social media addict that lives in 2026 and I don't know how to relate to things in the world that don't involve complaining.
Complaining you see is more form of epistemology and entertainment at the same time to me. Reasoned debate and nuance just doesn't get enough likes for me. I am all about the emotional response to a topic.
I mean, we're talking about an administration that has already over-reached in regulating this specific company out of personal bias; is openly seeking leverage over companies for favoritism and graft; hires on the basis of loyalty to whims of a narcissist; makes fun of the whole idea of competent government based on expertise; provides a range of conflicting explanations for whatever it chooses to do; and has been unable to field a team capable of understanding or explaining whatever real risks are here.
Your question is like asking what evidence would convince us that a bag of rocks doesn't have rocks in it. Easy, just take the rocks out.
A published policy with the right to appeal exclusions from the list.
An equal standard for all companies rather than ad hoc application.
A countervailing policy to mitigate the unfair advantage conferred on the companies that have early access (such as a higher tax rate that goes to fund ai job loses, and a commitment that AI use of the new models won’t result in layoffs).
A requirement that hardware is made available for open source models rather than locked up in by the AI labs.
A restriction on AI labs being vertically integrated from hardware all the way up through the app layer. I would restrict AI labs to being API providers and prohibit them from building apps. That would allow an ecosystem of independent software development on the app layer without fear of being copied by the labs that have an unfair advantage in seeing the data while apps are being built, the usage data as they become successful and the ability to undercut competitors by subsidizing tokens unfairly.
I could go on.