Tom Brown, co-founder of Anthropic, shares his journey from a YC founder to a key figure behind AI's scaling breakthroughs. He discusses the discovery of scaling laws that underpinned GPT-3, the mission-driven founding of Anthropic, the surprising success of Claude for coding, and his perspective on what he calls "humanity's largest infrastructure buildout ever."
OpenAI's Chief Scientist Jakub Pachocki and researcher Szymon Sidor discuss the rapid progress towards AGI, focusing on the shift from traditional benchmarks to real-world capabilities like automating scientific discovery. They share insights into recent breakthroughs in mathematical and programmatic reasoning, highlighted by successes in competitions like the International Math Olympiad (IMO), and explore what's next for scaling and long-horizon problem-solving.
Greg Brockman discusses his journey from a math enthusiast to a programmer, his early days scaling Stripe, and the core philosophies that drive OpenAI. He covers the critical partnership between research and engineering, the future of coding with agentic systems, and the immense infrastructure and algorithmic challenges on the path to AGI.
OpenAI introduces GPT-5, a significant upgrade focused on expert-level reasoning, agentic capabilities, and real-world utility, particularly for developers and enterprises. The model introduces a new reasoning paradigm, "software on demand" capabilities, and state-of-the-art performance on coding, reasoning, and long-context benchmarks. The launch also includes major updates to the ChatGPT application and a powerful new API for developers.
Anthropic executives and financial industry leaders from S&P Global, Deloitte, DE Shaw, HG Capital, New York Life, and the Norwegian Sovereign Wealth Fund discuss the future of AI in finance and announce Claude for Financial Analysis, a unified intelligence layer designed to transform professional workflows.
Sriram Krishnan, Senior White House Policy Advisor on AI, outlines the America AI Action Plan, a strategy designed to ensure U.S. dominance in artificial intelligence. He discusses the three core pillars of the plan—infrastructure, innovation, and global standards—while also exploring the geopolitical race with China, the critical role of open-source models, and the need for America to own the full AI stack, from GPUs to applications.