Can AI Really Reason? The Hidden Truth Behind Apple’s Blockbuster Paper

Source: Nate’s Newsletter Date: 2024-12-03 URL: https://natesnewsletter.substack.com/p/can-ai-really-reason-the-hidden-truth

Summary

A response to Apple’s 2024 paper challenging AI reasoning capabilities, Nate argues the research conflates testing methodology failures with genuine reasoning limitations — comparing AI to “a brilliant student who speaks five languages but fails a vocabulary test because the questions are written as riddles.” Existing benchmarks may test pattern recognition in specific formats rather than authentic reasoning.

Implications

Agent-product positioning thread. The benchmark critique has direct implications for how practitioners should evaluate reasoning models for agent deployment: if benchmarks don’t measure authentic reasoning, practitioners need real-task evaluation protocols rather than paper-score comparisons. This is Nate’s consistent “test real tasks” position applied to the reasoning model debate.

AI economics thread. Apple’s paper created significant negative sentiment around AI reasoning claims in December 2024 — Nate’s rebuttal was part of a broader practitioner counter-narrative arguing the critique was methodologically flawed. The discourse shaped how investors and enterprise buyers interpreted the reasoning model wave that followed in early 2025.

Watch: Whether the “reasoning capability” question gets resolved by better evaluation methodology, or whether it remains contested — the answer shapes how much premium enterprises should pay for reasoning-capable models vs. cheaper fast models.