From Models to Mobility: Building Waymo with Dmitri Dolgov
Here’s a shocking truth: Waymo now delivers hundreds of thousands of fully autonomous rides each week. But reaching that level wasn’t just about making smarter models. Dmitri Dolgov from Waymo explains that it’s about building a whole system — training, evaluating, and deploying drivers in real-world chaos. It’s sensor fusion across LiDAR, radar, and cameras, plus advanced simulation and ‘critic’ AI models that help vehicles learn from mistakes. As Dolgov shares on the Cheeky Pint podcast, full autonomy isn’t just driver-assist — it’s a whole new level of complexity. And here’s where it gets wild — scaling that system globally demands more than just tech, it needs adaptable infrastructure. Recent AI breakthroughs are reshaping what’s possible — and the challenge now is making these systems safe, scalable, and reliable, not just in controlled environments but everywhere. According to Dolgov, the future isn’t just about better sensors, it’s about building adaptable systems that learn and evolve faster than ever, and if this pattern holds, the winners will be those who design for flexibility — no matter what’s around the corner.