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Asking good questions is harder than giving great answers
The tests we are using to assess the intelligence of AI are missing an essential aspect of human inquiry — the query itself
The latest models are scarily on par with a first-year doctoral student in history in some areas, able to provide solid context and advanced interpretations of documents and images, even complex ones that require substantial background in a field. What these other tests of artificial intelligence show is that significant AI progress may lie not in some kind of examination endgame, of perfect answers to tough questions, but in the important, but often hidden, middle stages of a research project, when evidence is being assembled and interpreted. Recently in this newsletter, for instance, I covered a book that originated with the seemingly simple query, “Why did audiences at orchestral performances become silent when previously they were rowdy?” Before I read Listening in Paris, I assumed naively that the eternally proper behavior at a concert has been respectful quiet.
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