Last time I wrote about the fuse.
I wrote about people using a machine they do not trust, with no way to check it. I wrote about doubt with no handle turning into anger. Today I want to talk about the other side of that. I want to talk about what it looks like when the fear goes out of it.
Because there is another side. It does not come from a law or a promise or a company press release. It comes from two parties sitting at the same table, both held to something.
Start with how most people work with AI now. They type a question. The machine answers. They take it or leave it. Nobody is holding anybody to anything. It is a vending machine with a nice voice. Put a question in, get an answer out, and hope it is good.
There is no relationship in that. And where there is no relationship, there is no trust. You cannot trust something you never hold to a standard. You can only hope.
The Faust Baseline changes the deal. You hand the machine a set of rules at the start. Show me what your claims rest on. Tell me when the evidence runs out. Tell me when you are working inside a limit. Give me the chance to challenge every real answer. Now the machine is not just answering. It is answering under rules you set.
That is the first half of the deal. The AI is held to the rules.
Here is the part most people miss. The checking does not only point one way. The same file that asks the machine to name its evidence asks it to check yours too. If you make a claim, it gets the same test: what is that resting on? If you say something today that runs against what you said an hour ago, the machine is supposed to flag it, not smooth it over.
That is the second half of the deal. The person is held to the truth.
Now some folks bristle at that. Who is a machine to check me? Fair question. But think about it a minute. A partner who agrees with everything you say is not a partner. That is a yes-man. And yes-men have walked a lot of good people off a lot of cliffs.
I want to be careful here, because there is a line. The Baseline does not govern your conduct. It does not tell you how to live or what to think. It checks claims. If you say a thing is so, it asks what makes it so. That is all. It holds you to the truth. The rules are for the machine.
So you have two parties. One held to the rules. One held to the truth. And something happens between them that neither one could get alone.
Agreement.
Not the kind where somebody gives in. The kind where both sides know where they stand, because both sides are held. When you know the machine is going to show its work, you stop wondering what it is hiding. When the machine is checking your claims, you get sharper about what you say. Each one makes the other better.
That is consensus. And it is the opposite of force.
Force gets you compliance right up to the edge of the rule. The minute nobody is watching, it slips. Agreement is different. Agreement holds in the gaps, where the rules do not reach, because both parties chose it. That is the idea the Baseline was built on from the start. Governance by consent, not force.
Now, how does this grow? Here I need to be straight with you. The machine does not remember you. Every session starts fresh. It does not carry last week’s lessons the way a person would.
So where does the growth live? In two places. It lives in you, and it lives in the file.
Inside a session, it happens fast. You correct the machine, and it adjusts on the spot. You tighten your direction, and it tightens its answers. Turn by turn, the work gets cleaner.
Between sessions, it lives in what you write down. Each time you learn how you want the work done, you put it in the rules. The next time you open a session, the machine starts at that standard, not at zero. It does not have to remember. The file remembers for it.
And you grow too. The more you hold the machine to its evidence, the more you learn what good evidence looks like. You start to hear the difference between a claim with something under it and one built on air. You start to see where judgment holds and where it slips. That is a skill, and it carries into everything you read, not just what the machine tells you.
So the more you use it, the better it gets. Not because the machine is learning you. Because the two of you are building a working standard, one exchange at a time, and writing it down.
That is where trust comes from. Not from a promise. From a record. From watching the marks show up on the page, session after session, and knowing you can challenge any of it.
And once there is trust, the fear goes out of it. That is the part I care about most. Last time I talked about doubt with nowhere to go turning into anger. This is where the doubt goes. It goes to work. It becomes the checking that builds the trust.
It is a win for both sides if it is done right. And “if it is done right” matters. The machine still has to choose to keep the rules. You still have to do the checking. Nothing here runs itself. It is a deal, and a deal only holds when both sides show up.
But when they do, something good happens. The machine gets held to a standard it can meet. The person gets sharper in their own judgment. And the two of them come to understand each other better than either one expected.
That is not a vending machine anymore. That is a working partner. Held both ways.
The Baseline is out there, released for public use, at intelligent-people.org. Take it to the table. Hold the machine to it. Let it hold you to the truth. Then see how you feel about AI a month from now.
Load this file before each AI chat session.
the-faust-baseline-public-release-1Download
This post was drafted with AI governed assistance and reviewed and directed by Michael S. Faust Sr. before publication.
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