Noam Brown and OpenAI's o1 Research Team on Teaching LLMs to Reason Better by Thinking Longer

In this podcast episode, we explore the complexities of AI reasoning by comparing System 1 and System 2 thinking. The discussion introduces OpenAI's groundbreaking model, o1, which uses deep reinforcement learning to boost reasoning skills. Researchers share fascinating insights into o1's distinct problem-solving methods, its unexpected applications across various fields, and its potential within STEM tasks. They highlight the critical role of extended thinking time and user feedback in enhancing the AI's reasoning capabilities. As the conversation unfolds, it becomes evident that although o1 holds great promise, there are still obstacles to overcome on the path to achieving Artificial General Intelligence.