In this episode of AI Paper Bites, Francis dives deep into "The Illusion of Thinking", a provocative new paper from Apple that questions whether today’s most advanced AI models are really “reasoning” or just mimicking it.

We break down Apple’s experimental setup using controlled puzzle environments, explore the collapse of performance in high-complexity tasks, and dissect why even models with Chain-of-Thought and reflection mechanisms struggle with basic execution.

But this isn’t just a technical review. Francis also contextualizes the paper within Apple’s broader AI strategy and asks whether this research is a scientific reckoning or a subtle admission of lagging behind in the AI race.

Topics covered:

• Why reasoning models fail at scale

• “Overthinking” in AI and token inefficiency

• The limits of algorithm execution

• What Apple’s tone tells us about its place in the AI landscape