Konwersatorium im. Jerzego Pniewskiego i Leopolda Infelda

Large Language Models (LLMs) trained to predict the next word in a sentence have surprised their creators by displaying emergent properties, ranging from a proclivity for biases to an ability to write computer code and solve mathematical tasks. This talk discusses the results of several studies evaluating LLMs' performance on tasks typically used to study psychological processes in humans. Findings indicate that as LLMs increase in size and linguistic ability, they can navigate false-belief scenarios, sidestep semantic illusions, and tackle cognitive reflection tasks. This talk will argue the intriguing possibility that LLMs do not merely model language but also psychological processes echoed in human language.

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