Jun 02, 2026

The Moonshot Mindset with Adam Savage and Sergey Brin: The Moonshot Podcast

Astro Teller, Captain of Moonshots at X, and Google co-founder Sergey Brin discuss the philosophy of radical innovation, X's unique culture of embracing failure and pressure testing ideas, and their reflections on past moonshots like Google Glass, Wing, and Waymo. They delve into the exponential nature of AI, its historical context, and the challenges of anticipating its future impact, while also highlighting crucial unsolved "white whale" moonshots for humanity, including education, battery technology, and redefining the intrinsic value of work beyond monetary compensation.

May 01, 2026

Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy

Dmitri Dolgov, co-CEO of Waymo, discusses the 20-year journey from the DARPA challenge to full autonomy. He explains the Waymo Foundation Model—a multimodal world action model powering the driver, simulator, and critic—and how their "end-to-end plus" architecture enables superhuman safety and exponential scaling.

Feb 07, 2026

The Economics of Robotaxis: Are We There Yet?

A discussion on the evolving economics of autonomous vehicles, driven by end-to-end AI, and the growing local opposition to AI data centers due to concerns over resources like water, electricity, and noise.

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.

Jul 31, 2025

From Self-driving to Autonomous Voice Agents — Brooke Hopkins, Coval

Brooke Hopkins, founder of Coval, discusses how evaluation methodologies from the autonomous vehicle industry, particularly from her experience at Waymo, can be adapted to build reliable, scalable, and trustworthy voice and conversational AI systems.

Jul 26, 2025

Waymo's EMMA: Teaching Cars to Think - Jyh Jing Hwang, Waymo

An exploration of Waymo's research into EMMA, an End-to-End Multimodal Model for Autonomous Driving. This summary details how foundation models like Gemini are being adapted to create a single, generalizable system that processes raw sensor data directly into driving decisions, aiming to solve the long-tail problem and improve scalability. It also covers the use of generative AI for advanced sensor simulation and model evaluation.