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Michael Polanyi

The physical chemist turned philosopher who sat across from Alan Turing in 1949 and identified the flaw in the Turing Test that artificial intelligence has spent seventy-seven years failing to answer: the test measures output, not knowing, and the two are not the same.
We can know more than we can tell. In this single sentence, published in The Tacit Dimension in 1966, Michael Polanyi compressed a lifetime of argument against the positivist ideal of objective, impersonal knowledge and identified the structural feature of human understanding that has made every generation of AI look more capable than it is and less capable than it seems. The sentence describes not a charming limitation but a constitutive fact: the tacit knowledge that operates beneath conscious awareness is not a residue to be formalized away but the ground from which all explicit knowledge emerges. The surgeon who feels the boundary between healthy tissue and tumor before she can name what she is feeling, the programmer who senses a wrongness in the codebase before she has traced it to a line, the wine connoisseur who knows a vintage is exceptional before she can articulate why—each is exercising connoisseurship, the
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