
Think smart, not hard: How Claude's hybrid reasoning could change AI economics | IBM
The inner workings of large language models (LLMs) have traditionally been opaque. A model would receive a prompt and generate a response, without revealing its internal reasoning steps.
Hybrid reasoning changes this dynamic by exposing a model’s step-by-step thinking process. When activated, systems like Granite 3.2 show their work, making the logical paths they follow visible.