Generative AI's Uncoherent Understanding

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ScienceDaily

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Despite its impressive output, generative AI doesn't have a coherent understanding of the world

Summary

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80% Informative

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.

This means these models are likely to fail unexpectedly if they are deployed in situations where the environment or task slightly changes.

MIT researchers found that a popular type of generative AI model can provide turn-by-turn driving directions in New York City with near-perfect accuracy.

The researchers demonstrated the implications of this by adding detours to the map of New York City , which caused all the navigation models to fail.

If scientists want to build LLMs that can capture accurate world models, they need to take a different approach.

The researchers want to tackle a more diverse set of problems such as those where some rules are only partially known.

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semi-formal

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English

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