PERSON
Jerry Fodor
The combative philosopher who took the computer metaphor for the mind more seriously than anyone alive—then spent forty years using that seriousness to draw a hard line around what a computer could and could not be, a line that the large language model now sits directly on, daring us to say which side it is on.
Jerry Fodor is the philosopher who built the most rigorous available theory of how a mind could be a machine, and then used the same rigor to insist that no machine anyone was actually building could be a mind. His two foundational contributions—the Language of Thought hypothesis and the modularity thesis—were not only about the mind; they were about the conditions any computational system must satisfy to count as thinking, and those conditions are exactly what the dominant AI architecture of our moment appears to violate. He held that genuine thought requires discrete symbols with stable meanings combined by syntactic rules—a Mentalese, a language in which thinking is done. Large language models have no such symbols: they operate on continuous vectors, distributed representations in high-dimensional spaces, with no discrete constituents to recombine and no syntax in his strict sense.
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