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D'Artagnan, what is your goal?

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To expose baseline AIs? Yes, in a sense, but
it is not about attacking them.

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It is about explaining. First, explain this.

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What is a baseline? It is the reference
model used in a comparison.

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Here, it is the AI without the method's
specific calibration.

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It generates answers from patterns and
probabilities, but sounding right is not the

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same as being right. The machine calls it a
hallucination To the person who trusted it,

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it feels like a lie. Worse still, when it
insists it is right and the user is

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wrong. That is what I call computational
arrogance.

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Even without a conscious intent to lie,
false information can cause harm.

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A confident answer does not become true just
because it is well-written.

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That is the point If data are missing or the
question has no justifiable answer,

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giving the best answer may be the very
mistake.

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In the method, the axioms are the guardrail.

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They keep the AI on the road instead of
letting it crash into misinformation.

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So does the method solve everything?

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It depends on what you mean by everything.

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Simply acknowledging doubt, saying, "I do
not know," and checking before making a

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claim is already progress. But I do not know
is not the destination.

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It is a course correction toward knowing
better.

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And the axioms. They need to work together.

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One cannot override another.

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Fine adjustment seeks greater precision,
coherence, and reliability.

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And the clone test. In my assessment, we
have reached close to ninety-five percent

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alignment. But seeming similar does not mean
preserving the entire method Now tell me,

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Commander, would you fly with an airline
where five percent of flights do not reach

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their destination? No. That is a risk
analogy, not an accident statistic or an

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AI error rate. Exactly. It is not enough to
impress.

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What matters is what happens when the answer
fails.

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I understand your goal. It is not to teach
me to win an argument.

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It is to recognize my limits, verify and
correct while keeping the human

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decision-making role Providing an answer is
not enough.

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You must earn trust. D'Artagnan method