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Apple’s New Paper on LLM Reasoning: Does LLM Really Think?
Latest   Machine Learning

Apple’s New Paper on LLM Reasoning: Does LLM Really Think?

Last Updated on August 29, 2025 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

A Summary of Apple’s Recent LLM Paper: The Illusion of Thinking

This week, Apple published a research paper, “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity, “ which landed like an earthquake in the AI community. The central question it addresses is timeless: Can AI models truly think? According to Apple, the answer is a clear no.

Apple’s New Paper on LLM Reasoning: Does LLM Really Think?

Apple’s recent research challenges the notion that AI can genuinely think, highlighting significant limitations in current models’ reasoning capabilities. The study evaluates AI performance through complex logic puzzles, revealing that while capable of solving simpler issues, models fail when faced with unfamiliar scenarios. Key findings indicate models overthink easy problems, struggle with complex tasks, and lack the adaptability to apply previous learning to new situations. Overall, the results suggest a sobering truth: existing AI technologies act more like advanced search engines than true thinkers, raising doubts about the feasibility of achieving superintelligent AI.

Read the full blog for free on Medium.

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