Apple Paper Exposes LLM Reasoning Limits: Hype vs. Reality

A recent Apple Research paper highlights the accuracy collapse and scaling limitations of Large Language Models (LLMs) when tackling complex reasoning problems. This sparked debate, with some arguing the paper overstates LLM limitations while others see it confirming significant hurdles on the path to Artificial General Intelligence (AGI). The author contends that while LLMs have shortcomings, their current utility matters more than their AGI potential. The focus should be on their practical applications today, regardless of their ability to solve complex puzzles like the Tower of Hanoi.