US Government Approves AI Models Per User | NCR — No Code Needed

I was scrolling through AI news last week and realized something unsettling: the two biggest AI companies in the world can’t release their own models anymore without government sign-off. Not in the EU. Not in China. In the United States. If you’ve been following AI this year, you know tensions have been building, but this is a different kind of problem. It’s about whether any of these companies can ship at all.

Two weeks ago, the U.S. government pulled Anthropic’s Fable and Mythos models from public availability, and The Information reported that OpenAI’s GPT 5.6 will only get a limited preview, with government-approved access granted “customer by customer” before any general release. No defined review process, no published safety standard, no timeline. That’s the story.

What actually happened with the government and AI models?

The U.S. government pulled Anthropic’s Fable and Mythos models from public availability two weeks ago, citing safety concerns without releasing specifics. The Information then reported that OpenAI’s upcoming GPT 5.6 would face the same treatment: limited preview only, with regulators approving access customer by customer before general release. Anthropic’s Mythos has been stuck in preview for months with no timeline.

Here’s the part that surprised me. It wasn’t that the government got involved. It’s that both companies, who’ve been bitter rivals, are now stuck in the exact same mess. Same process, same uncertainty, same existential risk to their business models.

And the stakes are enormous. These models cost a fortune to train. If GPT 5.6 gets trapped in a Mythos-style holding pattern, even a few weeks of delay could gut the return on that investment. If the pace of model development slows, the data center buildout driving billions in investment starts looking a lot riskier too.

Why should regular AI users care about model approvals?

If you’re a solo creator, a small business owner, or someone who’s built workflows around AI tools, this might feel abstract. It isn’t. Four concrete things change for you.

Feature releases slow down. When every new model needs government approval, the gap between “what’s possible” and “what you can actually use” widens. The tools you see in tutorials and demos may be months ahead of what’s publicly available.

Prices go up. Longer approval processes mean higher costs for AI companies, and those costs get passed to users. If you’re already paying for multiple AI subscriptions, expect pressure on pricing.

Competition stalls. One of the best things about the current AI market is that new players keep showing up: Lovable, Cursor, Claude’s new features. If releasing a frontier model requires months of government review, startups can’t afford to compete, and the incumbents get entrenched by default.

Your automations break. If you’ve built workflows that depend on specific model capabilities, a delayed release means your next upgrade is on hold too.

Are there actual rules for AI model safety review?

No, and that’s the messiest part. There’s no clear standard. As Dean Ball (a GMU fellow, now joining OpenAI) detailed in a recent analysis, the U.S. government doesn’t have the expertise or capacity for the kind of testing this would require. It’s not even clear what regulators are trying to protect against, since there’s been no public articulation of what specific risks triggered the Anthropic pull.

Compare this to other consumer products. Pharmaceuticals go through FDA approval, but there’s a defined process with clear endpoints. Cars go through NHTSA testing with published standards. AI models are being held to… something. Nobody can say exactly what.

This ambiguity is the real threat. If nobody knows what “safe enough” means, every release becomes a political negotiation, and political negotiations don’t follow predictable timelines.

What should the AI industry do about regulation?

The smart take, per Ball, is that AI companies need to stop treating regulation as a competitive weapon and start treating it as a collective problem. In practice that means trusting independent groups to guide the safety process, even when those groups don’t align with any one company’s interests; lining up behind the least-bad regulatory options instead of fighting every proposal tooth and nail; and fighting for AI as an industry instead of treating safety concerns as chances to ice out competitors.

The obstacle is money and grudges. The most prominent people in AI have billions riding on one company or another. Anthropic’s supporters see OpenAI’s government relationship as cozy corruption. OpenAI’s camp sees Anthropic’s safety advocacy as regulatory capture. Both narratives have some truth, and neither helps.

What happens next with GPT 5.6 and model approvals?

A few signals will tell us whether this is a speed bump or a structural shift.

GPT 5.6’s actual release timeline. If the “couple of weeks” Altman reportedly projected holds, this is manageable. If it stretches to months like Mythos, the industry has a real problem.

Whether other countries follow. If the EU or UK adopt similar pre-release approval processes, the global AI market fragments overnight. What that means for solo creators could be significant.

Startup response. If new model releases slow, do startups pivot to building on existing models instead of training new ones? That would reshape competition in ways that benefit no-code users: more tools built on stable foundations, fewer breakneck model upgrades.

How should you prepare as an AI tool user?

The AI industry’s biggest threat right now isn’t a technical limitation; it’s a governance vacuum. When the government can pull your model without explaining why, and keep your competitor’s model in limbo indefinitely, the entire incentive structure for building frontier AI shifts.

For those of us who use these tools daily, the practical impact is simple: expect slower feature rollouts, higher prices, and less competition in the months ahead. Stay flexible, build on stable APIs, and don’t assume the next model upgrade is coming on schedule.

If you want to build AI skills that work regardless of which models are available, start with the fundamentals at /start-here/.

Frequently asked questions

Which AI models did the U.S. government pull? The government pulled Anthropic’s Fable and Mythos models from public availability two weeks before this writing, citing safety concerns without public specifics. Mythos has been stuck in preview for months with no announced timeline for general release, and The Information reported GPT 5.6 will face customer-by-customer government approval before a full release.

Does OpenAI’s GPT 5.6 need government approval? Yes. According to The Information, GPT 5.6 will launch as a limited preview, with the U.S. government approving access customer by customer before any general release. Sam Altman reportedly projected a couple of weeks for the process, though Anthropic’s Mythos has already been in a similar holding pattern for months.

How is AI model approval different from FDA drug approval? Pharmaceuticals go through a defined FDA process with clear endpoints, and cars go through NHTSA testing with published standards. AI models have neither: there’s no public standard for what “safe enough” means, no published criteria, and no stated timeline, which turns every release into what’s essentially a political negotiation.

Will AI tools get more expensive because of regulation? Longer approval processes raise costs for AI companies, and those costs get passed to users. Combined with slower feature rollouts and fewer startups able to compete at the frontier model level, users should expect less competition and pricing pressure across the AI tools they already pay for.

Based on reporting by Russell Brandom at TechCrunch and analysis by Dean Ball at Hyperdimensional.