AI Models Show Limited Reasoning Abilities Despite Chess Prowess
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Recent versions of AI models like GPT-4 can play decent chess, suggesting they have internalized the rules rather than just memorizing games.
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But these same models struggle with simple math problems, like modifying an equation to change the result, pointing to limits in their reasoning abilities.
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Specifically, AI models lack the human ability to plan ahead and anticipate the impact of different actions.
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Research confirms AI models consistently fail at tasks requiring lookahead, like block rearrangement puzzles or writing a poem with reversed first and last lines.
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This reflects the fundamental nature of models like GPT-4 as word predictors focused on local context rather than planning ahead.