Josh McGrath

Michelle Pokrass and Josh McGrath from OpenAI dive into the exciting updates of GPT 4.1. They discuss its enhanced coding capabilities and instruction-following features, making it a developer's new best friend. The conversation touches on the innovative Nano model designed for low latency, and they share the fun of naming projects. With insights into pricing and user interaction, they emphasize the significance of community feedback in evolving AI technology. Plus, get ready for the intriguing benefits of multimodal tasks and cutting-edge reasoning enhancements!

In this engaging discussion, Josh McGrath, a post-training researcher at OpenAI, dives into the evolution of AI models from GPT-4.1 to GPT-5.1. He highlights the importance of data quality over optimization methods and explains why RLHF and RLVR are simply variations of policy gradients. Josh also shares insights on how the shopping model enhances user experience with personality toggles and the complexities involved in scaling reinforcement learning. His call for more engineers proficient in both distributed systems and ML further emphasizes the need for interdisciplinary expertise in advancing AI.