Apple's research team published a paper challenging the AI sector's portrayal of advanced large language models as capable of true reasoning. They assert that claims by firms like OpenAI regarding their models' reasoning abilities are exaggerated and represent an 'illusion of thinking.' Concerns revolve around the understanding of fundamental capabilities and limitations of these AI systems. The researchers emphasize flaws in current benchmarking processes and suggest that evaluations must be improved to truly reflect the models' reasoning skills, particularly citing how they performed in controllable puzzle environments.
While these models demonstrate improved performance on reasoning benchmarks, their fundamental capabilities, scaling properties, and limitations remain insufficiently understood.
The existing approach to benchmarking often suffers from data contamination and does not provide insights into the reasoning traces' structure and quality.
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