Large language models like GPT-3 and GPT-4 have shown impressive capabilities, passing tests that mimic human reasoning and intelligence. However, there is little agreement on what these results actually mean and how to interpret them, leading researchers to call for more rigorous evaluation methods and an avoidance of human-based tests.
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