Dmitri Dolgov
Showing 1–4 of 4 transcripts.
- Y Combinator49 min
Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Work
Waymo has advanced its fully autonomous fleet to operate 500 weekly trips across 15 U.S. cities, achieving a safety record 17 times better than human drivers through a multimodal sensor architecture and a foundation model utilizing both fast geometric reactions and slow semantic reasoning. The company addresses the unique challenges of physical AI by integrating real-world data into a generative simulation ecosystem that creates rare edge cases for training, while its "Safety and Readiness Framework" rigorously validates performance to ensure public trust and regulatory compliance. Looking ahead, this structural augmentation and flywheel of agent, simulator, and critic data positions Waymo to expand its technology beyond personal vehicles into trucking and broader physical applications.
- Sequoia Capital27 min
Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy
Dmitri Dolgov, Konstantine Buhler
Dmitry Dolgov, Waymo's co-founder, outlines a 21-year evolution from DARPA challenges to a sixth-generation autonomous fleet that has achieved 200 million fully autonomous miles and delivered over 20 million rides with a safety profile 13 times superior to human drivers. The company's architecture utilizes a multimodal "Foundation Model" integrating physics reasoning and spatial understanding to power a structured, end-to-end system across 11 cities, now accelerating toward global expansion in London and Tokyo through the newly launched Waymo Origin vehicle. This mission-driven approach bypasses incremental improvements to rapidly scale commercial deployment, treating full autonomy as an existential imperative to eliminate the 13 million annual road fatalities while transitioning the core technology into a primary family transportation tool.
- a16z37 min
How Waymo Is Using GenAI to Build a Better Driver
Dmitri Dolgov, David George, Sarah Wang
Dimitri Dolgov traces the evolution of autonomous driving from the 2007 DARPA Urban Challenge to Waymo's current deployment of generalizable AI across four major US cities. By combining foundational machine learning breakthroughs like Transformers with massive synthetic simulation, Waymo has demonstrated a 76% reduction in property damage and operates 24/7 in diverse weather conditions. The company now focuses on scaling complex urban logistics while maintaining a hybrid market strategy that partners with Uber and prioritizes rigorous safety validation over short-term commercial shortcuts.
- Lex Fridman2h 23m
Dmitri Dolgov: Waymo and the Future of Self-Driving Cars | Lex Fridman Podcast #147
Waymo has officially launched the first at-scale, fully autonomous Level 4/5 passenger service in Phoenix, utilizing its proprietary fifth-generation Jaguar I-PACE fleet equipped with a custom sensor suite of 29 cameras, 5 LiDAR units, and 6 radars. This October 8 commercial debut marks a strategic shift from controlled testing to public operation, where high market demand already exceeds current fleet capacity and the system prioritizes smooth, professional driving behavior over traditional human habits. Built on a legacy of extensive multi-city testing and a 2013 pivot to driverless technology, the platform relies on massive-scale data processing and a multi-modal sensing philosophy to ensure safety without remote teleoperation or reliance on future vehicle-to-vehicle infrastructure.