The podcast features a panel discussion with experts in AI and machine learning, moderated by Joe Spisak. The panelists, including Horace He, Dhruv Batra, Sal Candido, Eugen Hotaj, and Carina Hong, share their insights on topics ranging from agentic frameworks and reinforcement learning to the application of AI in mathematics and biology. They discuss the current state of AI, the challenges of scaling models, the potential of RL in various fields, and the future directions of AI research, highlighting the need for better tools and infrastructure to support the development of more capable AI systems. The conversation also touches on the limitations of current AI models and the importance of verifiable rewards and high-throughput environments for training AI agents.
Sign in to continue reading, translating and more.
Continue
