Controversy between AI giants!  In this episode Arijit and Christian discuss Apple’s paper that suggested that Large Reasoning Models collapse at a certain level of complexity.  This finding set the AI community alight and instigated an interesting rebuttal from Antropic that highlighted some amateur errors made by the Apple team.  Even though errors may have been made there are important lessons to be learned for teams implementing LRM’s.

https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf

https://arxiv.org/pdf/2506.09250v1

00:00   Introduction

01:09   Summary of the Apple paper

02:31   Understanding the Towers of Hanoi

04:44   Navigating complexity in problem solving

06:18   The role of reasoning in AI models

08:58   Performance discrepancies in AI models

09:46   Anthropic’s rebuttal and critique

12:44   Philosophical considerations of AI thinking

26:16   Compression Techniques: Lossy vs Lossless

15:52   Conculsions and future directions

18:52   Close out