Sam Altman discusses the future of AI, covering the evolution of software engineering, the challenges for AI startups, the roadmap for model capabilities and costs, and the broader societal impacts on economics, security, and education.
Garry, Harj, Jared, and Diana discuss why founders should pursue contrarian ideas in a crowded AI market. They analyze how companies like Uber, Coinbase, and Flock Safety found massive success by tackling non-obvious, legally ambiguous, or seemingly impossible problems that others ignored.
Eric Zelikman, formerly of Stanford and xAI, discusses his research on AI reasoning (STaR, Q-STaR) and introduces his new venture, humans&. He argues for a paradigm shift from building AI with pure IQ to AI with EQ, focusing on long-term memory, human collaboration, and empowering users to achieve their full potential.
Raiza Martin, co-founder of Huxe and former leader of Google’s NotebookLM team, discusses the move from the text-based, source-grounded world of NotebookLM to building Huxe, an audio-first, mobile-first personal AI companion designed to create delightful and useful experiences in the interstitial moments of a user's day.
OpenAI researchers discuss the step-change in capabilities in ChatGPT-5, from coding and reasoning to creative writing. They detail the data-centric training processes, the shift toward asynchronous agentic workflows, and the future of AI development and its impact on the startup ecosystem.