Tejal Patwardhan, head of OpenAI's frontier evals team, discusses the critical evolution of AI evaluations. She explains why traditional benchmarks fail as models become more capable, how OpenAI develops realistic, long-horizon tests (including groundbreaking wet lab experiments), and the implications of rapidly advancing multimodal and reasoning models for scientific discovery and the future of human work.
Samuel Rodriques, founder of Edison Scientific, shares his journey from physics to building an AI scientist named Kosmos. He discusses how AI agents are already making novel discoveries, including a potential cure for blindness, and are poised to revolutionize drug discovery. The conversation dives into AI's strengths in high-throughput reasoning, the critical bottlenecks in clinical trials, proposed reforms for the US medical system, and whether human scientists will still be needed in an age of hyper-intelligent AI.
Researchers and product managers from OpenAI discuss the evolution from GPT-5 to GPT-5.1, detailing the shift to universal reasoning models. They explore the nuanced concept of model "personality," the technical challenges of balancing steerability with safety, and how features like Memory and improved context awareness are creating more emotionally intelligent and personalized AI interactions.
Researchers Christina Kim and Laurentia Romaniuk discuss the development of GPT-5.1, focusing on the shift to making reasoning models the default. They explore the nuanced concept of model "personality" as a blend of response style and the entire user experience, and detail the ongoing work of balancing model steerability with safety.
OpenAI's Christina Kim (Research) and Laurentia Romaniuk (Product) discuss the development of GPT-5.1, detailing the shift to universal "reasoning models" to enhance both IQ and EQ. They explore the nuances of "model personality," the technical challenges of balancing steerability with safety, and how features like Memory create a more personalized, context-aware user experience.
A deep dive into seven essential AI concepts shaping the future of intelligent systems, including Agentic AI, RAG, Mixture of Experts (MoE), and the theoretical frontier of Artificial Superintelligence (ASI).