OpenAI, Google, and Anthropic are deploying reasoning models that solve problems through sequential steps. This technology shifts from simple word prediction to structured, multi-step analysis. The approach emulates human System 2 thinking to improve reliability.
OpenAI’s o-series, Anthropic’s Claude, and Google’s Gemini use reinforcement learning to refine these processes. These models show significant performance gains in logic, mathematics, and planning. The transition enables sophisticated applications in business, science, and software development.