Join John Schulman, OpenAI co-founder and ChatGPT architect, as he dives deep into the future of AI. He discusses how post-training enhances model capabilities and the roadmap to achieving AGI by 2027. Schulman highlights the importance of reasoning in AI, the evolution of language models, and the delicate balance between human oversight and automation. He also shares insights on the role of memory in AI systems and how new training methods can reshape interactions, making AI assistants more proactive and effective.

John Schulman, co-founder OpenAI, discusses with host Pieter Abbeel the invention, capabilities, and limitations of ChatGPT. Subscribe to the Robot Brains Podcast today | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast and Twitter at @pabbeel. Hosted on Acast. See acast.com/privacy for more information.

John Schulman is a cofounder of OpenAI, and currently a researcher and engineer at OpenAI.Featured ReferencesWebGPT: Browser-assisted question-answering with human feedbackReiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John SchulmanTraining language models to follow instructions with human feedbackLong Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, Ryan LoweAdditional ReferencesOur approach to alignment research, OpenAI 2022Training Verifiers to Solve Math Word Problems, Cobbe et al 2021UC Berkeley Deep RL Bootcamp Lecture 6: Nuts and Bolts of Deep RL Experimentation, John Schulman 2017Proximal Policy Optimization Algorithms, Schulman 2017Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs, Schulman 2016