I think most ML researchers would agree. The problem is that abstraction & reasoning are pretty vague concepts. The challenge is to operationalize these notions in a way that yields measurable improvements on hard benchmark tasks.
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no, the problem is not just about operationalizaron.
@allenAI’s science exams are an example of reasonable task that rests partly on reasoning ; the deeper problem is that we as a field currently lack the tools to make measurable progress there. - 1 more reply
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why did you pass
#godzilla2?
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