According to the Apple researchers, the inconsistencies demonstrated by advanced AI models during minor changes in problems indicate that these models are primarily executing sophisticated pattern matching rather than true reasoning. This has raised concerns about how reliably these models can emulate human-like cognitive abilities.
The study suggests that the so-called reasoning ability of advanced AI models is less robust than marketed, revealing a reliance on previous data rather than genuine problem-solving capabilities. The researchers emphasize that without a clear industry definition of reasoning, evaluating AI's progress in this area remains complex.
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