How US federal AI policy has gone from implausibly libertarian to increasingly draconian and opaque, and how to fix it, including using independent auditors
35 thoughts on what has happened and what America should do — Nothing below is an official or unofficial view of OpenAI.
HyperdimensionalDean W. Ball
Context & Ripple Effects
The related coverage traces OpenAI’s policy position from warning that a large number of state AI bills could impede US progress to pursuing “reverse federalism”: encouraging blue states to create a de facto standard while federal action stalls.
Against that backdrop, this article argues that the federal-policy debate has moved from minimal constraint toward more restrictive, less transparent approaches, and identifies independent auditing as a possible governance mechanism.
First-order effects
Independent auditing is put forward as a concrete alternative to governance conducted through opaque federal controls, shifting attention from broad policy posture to verifiable oversight of AI systems.
The piece adds pressure to an already active debate involving OpenAI and state policymakers over whether AI rules should be centralized federally or established through state-level standards.
Second-order effects
If auditing becomes a favored policy tool, AI developers would face stronger incentives to document system behavior and prepare for external review rather than rely solely on voluntary policy commitments.
A credible audit-based approach could give states pursuing AI safety rules a more interoperable compliance model, while increasing the contrast with a fragmented, bill-by-bill state regime.
Third-order effects
The underlying contest is increasingly about the architecture of AI governance: centralized but opaque control versus standards that can be independently examined and applied across jurisdictions.
If federal action remains unsettled, state-led rulemaking may continue to shape the practical US baseline; whether independent audits reduce fragmentation depends on how consistently their scope and independence are defined.
The trend: US AI governance is moving from a debate over whether to regulate toward a contest over who sets enforceable standards and how oversight can be made accountable.
In a matter of weeks, U.S. federal AI policy has gone from implausibly libertarian to increasingly draconian and opaque. Today, over 35 distinct observations, I analyze how we got here and offer the most succinct statement I can about what exactly I propose we should do next. [im…
House Republican leadership and the trump Administration made a decision to let the AI industry run wild. That has resulted in massive public backlash. Now the trump folks realize, oh shit, the American people were right. We need reasonable AI guardrails. November is coming.
It is bad for AI *deployment,* which is different from development. On a longer timescale (months, not weeks), yes, that will hurt funding + slow compute purchases etc. + slow development. TBD if it gets sorted before then. For now, rest assured the GPUs are humming
According to so many experts here, the Federal Government is blameless for its problematic policies, and a 5,000-person company in fact deserves all that blame. Interesting!
While I have critiques of the export controls and other recent actions, there is a core truth that shouldn't be overlooked: before the last few weeks, it was fair to question whether the United States took catastrophic AI risk seriously. Today, the answer is unambiguous: “yes.”
There's a lot of sloppy thinking around open models. You can ban them and make it impossible for US companies to use them, but this won't stop A) global open model progress B) bad actors using them So what exactly is gained by banning open models, including those from China?
@Miles_Brundage No one said that AI was no big deal, it has nothing to do with them being understaffed, and the question isn't whether AI development is stopped or not, that was never going to happen no matter what Doomers dreamed of, the question is whether the discourse from Do…
This is not an AI pause. It's the government thrashing around after realizing that the people who told them AI was NBD were wrong, and being severely understaffed. AI development is not even close to stopped RN + this is not what you'd do if you wanted it to stop
It seems both foolish and wrong to frame the current chaos as the fault of *safety* activists, who've been arguing for clear, defined rules for years now. It's much more the fault of people like Andreessen: their completely deregulatory stance means those clear rules don't [image…
It's been two weeks and the leading US model, Fable, is still banned by the White House with no explicit Congressional Authorization, no written rule that was broken, and no technical justification. In the meantime, our Chinese adversaries released a model that rivals our best.
If you are on the verge of AGI or ASI, why isn't your model smart enough to recognize espionage distillation in real time? You say “cure cancer in a few years.” Isn't sniffing illicit distillation quite a bit easier than curing cancer? Why write letters to DC? Just use AGI.
Getting a highly unsurprising set of people RTing this with versions of 'if you people hadn't warned of an underlying problem and called for laws to be passed and preparations to be made, which we ensured didn't happen, we wouldn't have this ad hoc thing, this is your fault.'
Our new AI policy is that the White House decides ad hoc, for whatever reasons it likes, who does and does not get access to frontier intelligence. This seems rather maximally terrible.
The Trump administration has had a major pendulum swing on regulating AI from anything goes to saying they have to approve any user of GPT 5.6 and non-US citizens can't get Claude Fable. — This is now a major problem for AI labs after spending billions to train their models.
Great stuff from Dean, per usual. To sum it up: 1. The Trump admin had to do something 2. They don't know what to do 3. So they are just doing whatever Our only saving grace is that this puts the entire US economy on a precarious footing. The American electorate hates [image]