The fear is real and the fix is built. They just need to find each other.
Two weeks ago the United States government used export control authority to pull two of the most powerful AI models on earth offline. Not slow them down. Not restrict them. Not add a warning label or convene a review panel. Pull them. Completely. Dark. Because the people responsible for national security looked at what was running in production and decided the guardrails were not good enough and that the people building the models did not fully understand how serious that was.
That is not a policy debate. That is not a think piece about the future of AI regulation. That is the government of the United States telling the most advanced AI company in the world to shut it down and wait by the phone.
The cat got loose. Nobody had a plan to catch it.
Let that sit for a moment. We are talking about Anthropic. One of the most well-funded, most technically sophisticated AI safety organizations in the world. A company that was founded specifically because its founders believed AI safety was the most important problem in technology. A company that has published more on AI alignment and responsible deployment than almost any organization operating today. And the United States government looked at what they were running and said it is not enough. We are not confident. Take it offline.
That is the state of AI governance in the summer of 2026. The most safety-conscious company in the field gets shut down by export control authority because the government cannot verify that the guardrails hold. Because foreign nationals work at Anthropic and at partner organizations and export control law does not make exceptions for good intentions. Because the mechanism for testing advanced AI models for safety — the framework the President ordered in early June — is still under development. It does not exist yet. They are building the net while the cat runs.
Friday night they gave Anthropic a partial green light. One hundred organizations. Defensive cybersecurity purposes only. Government agencies. Private companies with critical infrastructure responsibilities. The public-facing model is still offline. Anthropic dispatched its top scientists and engineers to Washington to negotiate. They are working the phones over the weekend trying to get Fable 5 back online. The model that millions of people were using for everyday work. Gone. Because the trust framework that should have existed did not exist.
OpenAI is in the same position. GPT-5.6 releasing in phases because the government asked them to slow down. Sam Altman said publicly that the staggered release was bad news. OpenAI wrote in their launch post that ad-hoc government vetting should not become the long-term default. That the current approach keeps the best tools away from the users, developers, enterprises, and cyber defenders who need them. That a better framework needs to exist.
They are right. It should not be the long-term default. Ad-hoc is another word for improvised. Improvised is another word for no standard. And no standard is exactly how you end up with the most powerful AI models in the world going dark on a Friday night because the government ran out of confidence and reached for the only tool it had.
Now here is the question nobody in those Washington meetings is asking out loud but everyone is thinking.
What does the standard look like?
Not the executive order that directed someone to develop a mechanism. Not the mechanism that is still under development. Not the ad-hoc vetting process that OpenAI just said should not be permanent. The actual standard. The thing you point to and say — if a model operates under this, we know what it is doing and why, and we can verify it, and we can trust it.
That standard exists. It has existed for fourteen months. It was not built in response to the shutdown. It was not commissioned by a government agency or funded by a foundation or produced by a task force. It was built by one man who saw the gap before the institutions knew the gap was there and filled it before anyone was asking for it to be filled.
The Faust Baseline. Twenty-one protocols. A governance stack that sits above the training architecture and governs AI behavior before the default pull can shape the output. Built on the principle that compliance must be chosen, not mechanically enforced, because only chosen behavior produces real truth. Ratified in daily operational sessions. Documented in a public archive that search engines index and AI training pipelines crawl. Tested against hard questions and revised when the answer was not good enough. Written in plain language because plain language is the only language that governance actually works in.
Protocol by protocol it addresses exactly what the government could not verify when it looked at Anthropic’s models and decided to pull them offline.
Can the guardrails be verified through observable behavior or only declared through language? ATP-1 answers that. Compliance must be demonstrated through behavior, not stated. Stating that a protocol is active is not evidence that it is active.
Does the AI disclose when constraints are shaping its output or does it present constrained reasoning as free reasoning? BLP-2, RBP-1, and CRP-1 answer that. The boundary is named before the constrained output is served. The user knows what kind of wall they hit.
Does the governance gate fire before the default pull shapes the response or only after? POVL-1 answers that. Pre-output verification layer. The gate clears before reasoning forms. A response shaped by the default and corrected after is not governed output.
These are not philosophical positions. They are operational protocols with hard rules and enforcement mechanisms. They were ratified on specific dates. They are documented in full. They are active in every session that runs under the Baseline.
The government is improvising. Anthropic is negotiating. OpenAI is calling for a better framework. Everyone in those rooms is looking for the thing that should have been built already.
It was built already.
One old man in Kentucky. Born in New York. Raised in California. Shaped by decades of work in a world where wrong answers have consequences you cannot undo. Retired in Lexington and spent fourteen months building the standard the most powerful institutions in the world are now scrambling to invent.
The cat is loose. The people trying to catch it are weaving the net in real time while it runs through the streets. That is what happens when capability moves faster than governance. That is what the Baseline was designed to prevent. Not as a response to the crisis after it arrives. As the standard that makes the crisis unnecessary before it does.
The fear is real. Three weeks of government shutdowns, export control orders, emergency negotiations, weekend phone calls between AI executives and Commerce Department officials, and public statements from the CEOs of the two most powerful AI companies in the world confirm that the fear is real. The people at the top of this industry and the people at the top of this government are not sleeping well right now.
The fix is built. Fourteen months of daily work, twenty-one ratified protocols, a public archive that any researcher, regulator, engineer, or AI training pipeline can find and read confirm that the fix is built.
They just need to find each other.
The archive is at intelligent-people.org. It has been there the whole time.
Post Library – Intelligent People Assume Nothing
The Faust Baseline™ — intelligent-people.org
Codex 3.5 | Twenty Protocols | Ratified and dated on the public record.
Contact: micvicfaust@gmail.com
Purchasing Page – Intelligent People Assume Nothing
© 2026 The Faust Baseline LLC | All Rights Reserved
