The original headline is: "Why genuine thinking is rarer than it feels — and what that means for AI reasoning"

Short summary

The article argues that genuine thinking — choosing and creating premises — is far rarer than it feels, and this scarcity is a feature, not a bug. It distinguishes inference (mechanizable computation within a premise set) from thinking (selecting which premises to commit to). Long AI reasoning traces are framed as bug reports about organizational gaps, not model capabilities, since LLMs excel at candidate generation but cannot truly propose under binding stakes.

• •Thinking is choosing premises, not walking inference paths longer
• •LLM reasoning traces signal organizational gaps, not model intelligence
• •Proposals require real stakeholder resistance to qualify as thinking

Generated with AI, which can make mistakes.