Isa Fulford

Isa Fulford, a key figure in deep research at OpenAI, discusses the evolution of AI agents with real-world capabilities. She highlights the importance of using human expert data and how reinforcement learning enhances agent functionality. Isa delves into the challenges of latency, safety, and the balance between functionality and trust as AI systems become more autonomous. She also shares predictions on the future of AI agents, including their potential to complete tasks more efficiently and develop a sense of 'taste' in their operations.

Isa Fulford and Josh Tobin, product leads at OpenAI, dive into the groundbreaking capabilities of the Deep Research agent. They discuss how this technology revolutionizes AI by training models end-to-end without traditional coding. The duo emphasizes the importance of high-quality training data and the o3 model's reasoning skills, enabling it to streamline complex tasks and enhance productivity. They explore how Deep Research can transform knowledge work and highlight the growing role of reinforcement learning in AI's future.

Isa Fulford, Casey Chu, and Edward Sun from OpenAI's ChatGPT agent team share insights into their groundbreaking work on a powerful AI agent that integrates deep research with operator tasks. They reveal how this agent can perform complex, multi-step tasks by accessing a virtual computer and utilizing multiple tools simultaneously. The team discusses their reinforcement learning strategies, challenges faced during development, and the significance of safety measures. Their collaboration showcases how small teams can effectively innovate and enhance AI capabilities for real-world applications.