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AIs are often described as ‘black boxes’ with researchers unable to to figure out how they ‘think’. To better understand these often inscrutable systems, some scientists are borrowing from psychology and neuroscience to design tools to reverse-engineer them, which they hope will lead to the design of safer, more efficient AIs.
This is an audio version of our Feature: How does ChatGPT ‘think’? Psychology and neuroscience crack open AI large language models
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