Nov 16, 2025

The Godmother of AI on jobs, robots & why world models are next | Dr. Fei-Fei Li

Dr. Fei-Fei Li discusses the history of AI, from the creation of ImageNet that sparked the deep learning revolution to the future of AI with spatial intelligence and world models. She introduces 'Marble', the first large world model, and explains its potential to unlock new frontiers in robotics, virtual production, and scientific discovery, all while emphasizing a human-centered approach to technological advancement.

Nov 06, 2025

Waymo: The future of autonomous driving with Vincent Vanhoucke

Waymo Distinguished Engineer Vincent Vanhoucke discusses the core challenges of autonomous driving, explaining how Waymo fuses data from cameras, LiDAR, and radar to build a robust perception system. He delves into the "closed-loop" problem, the critical role of generative AI and simulation in training and validation, and how modern multimodal models are used in a teacher-student framework to distill vast world knowledge into the vehicle's onboard system, aiming for a safety standard that surpasses human performance.

Oct 31, 2025

Marc Andreessen and Ben Horowitz on the State of AI

A discussion with Marc Andreessen and Ben Horowitz on the true nature of AI creativity, the limitations of intelligence in leadership, why the current AI boom is not a bubble, and the coming platform shifts and geopolitical race in robotics.

Oct 30, 2025

"Is there an AI bubble?” Gavin Baker and David George

Gavin Baker, CIO of Atreides Management, and David George, General Partner at a16z, provide a macro view of the AI landscape. They discuss the trillion-dollar data center buildout, compare the current AI boom to the 2000 telecom bubble, analyze the competitive dynamics in AI infrastructure between Nvidia and Google, and explore the evolving business models for AI applications and the future of SaaS.

Oct 20, 2025

Reid Hoffman on AI, Consciousness, and the Future of Humanity

Reid Hoffman explores the future of AI, moving beyond obvious productivity applications to tackle grand challenges in science and industry. He discusses the current limitations of LLMs in reasoning, the distinction between augmenting and replacing human experts, the philosophical questions of consciousness, and the enduring power of human connection in the age of AI.

Oct 14, 2025

Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question

Nathan Labenz joins Erik Torenberg to challenge the narrative that AI progress is slowing down. He argues that despite perceptions around GPT-5, capabilities in reasoning and frontier science are advancing exponentially. They discuss the future of AI agents, the prospect of recursive self-improvement, the impact on jobs, and progress beyond language models into robotics and biology. The conversation culminates in a call for a more imaginative, positive vision to guide AI's trajectory.