"The Deutschian Deadend" by Kasra displays an understanding of Popper and Deutsch different from mine.
In the discussion labelled "False predictions on AI," Kasra states that "In Deutsch’s world, theories always come first" (emphasis in original). However, depending on how closely Deutsch's views mirror Popper's, problems always come first, followed by a theory that is an attempt to solve the problem. Kasra then goes on to argue that collecting data first has led to AI successes, unlike the "theory first" approach. But, again, Kasra is not thinking deeply enough on this issue, at least as I understand it, because humans had problems, then came up with a theory that then caused them to collect and feed this data to an AI system, expecting it to find a pattern. In other words, the problem and the theory drove the data collection that has led to AI systems' successes. Those successes were definitely not driven by atheoretical, indiscriminate data collection.
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