Jerry Tworek

Join Jerry Tworek, VP of Research at OpenAI, as he dives into the fascinating world of AI reasoning. Discover how GPT-5 evolves from earlier models, emphasizing the crucial roles of pretraining and reinforcement learning. Jerry explains the mechanics of chain-of-thought reasoning, the significance of agentic tools like Codex, and the importance of robust collaboration in research. He even shares insights from his personal journey from math and trading to cutting-edge AI research. Could pretraining combined with RL be key to achieving AGI? Tune in to find out!

Jerry Tworek, former VP of Research at OpenAI and architect of reasoning models and Codex, shares why scaling hits limits and why continual learning matters for true AGI. He discusses the constraints of pre-training and RL, the economics pushing labs toward similar strategies, his reasons for leaving OpenAI, and a near-term robotics outlook with big societal stakes.

Jerry Tworek, an AI researcher and engineer with significant contributions to OpenAI, discusses his bold departure from the company. He shares insights on the evolution of OpenAI and his frustrations with the increasing conservatism in large AI labs. Tworek emphasizes the need for innovation beyond simply scaling models and highlights potential breakthroughs in reinforcement learning. With many labs expressing interest in his next steps, he expresses excitement for pursuing riskier, pioneering research outside corporate constraints.