Noam Brown

Noam Brown, who leads the multi-agent team at OpenAI, shares insights from his groundbreaking work in AI, especially in competitive strategy games like poker and Diplomacy. He discusses the fascinating impact of AI on human gameplay and critiques the constraints of the System 1/2 thinking model in AI reasoning. The conversation also touches on the challenges of test-time compute limitations, multi-agent intelligence, and innovative applications of AI tools like Codex and Windsurf, while pondering the future of AI civilizations.

Noam Brown and Alex Wei, members of OpenAI's IMO team, share their groundbreaking journey to achieve gold-level performance on International Mathematical Olympiad problems. They discuss their innovative approach using reinforcement learning techniques and admit the model's self-awareness in tackling tough challenges. The duo emphasizes the contrast between solving competition problems and genuine mathematical breakthroughs. They also explore the balance between formal and informal verification, highlighting the interplay of human oversight in developing advanced mathematical models.

Noam Brown, renowned AI researcher at OpenAI and key developer behind the o1 model, discusses groundbreaking advancements in AI. He dives into the unique capabilities of the o1 release, exploring how it surpasses previous models. Brown shares insights on scaling AI, economic realities, and the future of AGI. He highlights the exciting use cases for specialized AI tools and the transformative role of AI in social science research. Listeners will gain a deep understanding of the innovative shifts occurring within the AI landscape.

Noam Brown, a leading research scientist at OpenAI, shares insights on transforming AI development by emphasizing slow, deliberate reasoning. He discusses the evolution of poker AI, detailing how thoughtful deliberation improved its performance against human players. Brown highlights the importance of patience and investment in AI to avoid stagnation, arguing that advancements are still on the horizon. He also illustrates how giving AI more thinking time can unlock extraordinary potential, challenging the idea that AI's progress is plateauing.

In this engaging discussion, Noam Brown, a researcher at OpenAI, and mathematician Daniel Litt delve into the remarkable achievements of AI at the 2025 International Mathematical Olympiad. They explore the performance of AI models like Google's Gemini and the ethical controversies surrounding their advancements. The conversation highlights the significance of evaluating AI in competitive contexts and questions the trustworthiness of performance claims from major tech companies. Brown and Litt also ponder the future of mathematics and the implications of AI on professional identity in the field.