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An Explanation of AI that Could Be Wrong (Which is Good)
Matched: AI, Artificial Intelligence
A former strategy executive and lifelong cognitive science enthusiast has published a scholarly paper arguing for a falsifiable theory of what AI actually learns during training. The paper, "Distinctions Worth Preserving," draws on decades of cross-disciplinary reading spanning philosophy, linguistics, learning science, and AI research. The author frames the work as a field-positioning argument and provides a falsification experiment. The post also offers prompting guides for using AI tools to engage with the paper.