We are currently living through a Great Blurring. As generative AI becomes the primary interface through which we filter the American landscape - both digital and physical - the line between what is true and what is simply likely has begun to dissolve. To navigate this, we have to return to a few foundational distinctions that feel increasingly like a surveyor’s brass stakes in shifting sand. The Probability Engine vs. The Correspondence of Mind At its core, an AI does not “know” anything. Knowledge is, by definition, a correspondence between the mind and reality. When we say we know something, we are asserting that our mental model matches the actual state of the world. AI, however, operates on a different axis. It is a probability engine. It doesn’t look at the “ground” of reality; it looks at the “map” of human text. If we look at the classical analogy: certainty : knowledge :: probability : opinion AI resides entirely on the right side of that equation. It provides us with what…
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