Despite its impressive output, generative AI doesn't have a coherent understanding of the world
Large language models can achieve incredible performance on some tasks without having internalized a coherent model of the world or the rules that govern it, researchers find. This means these models are likely to fail unexpectedly if they are deployed in situations where the environment or task slightly changes.
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Large language models can achieve incredible performance on some tasks without having internalized a coherent model of the world or the rules that govern it, researchers find. This means these models are likely to fail unexpectedly if they are deployed in situations where the environment or task slightly changes.
