Waymo isn’t just training cars on roads — they’re training them in entire simulated worlds. 🌍🤖 To build truly soft-driving autonomous vehicles (smooth braking, human-like turns, safe merges), Waymo relies heavily on high-fidelity simulation before deploying updates to real streets. Here’s how it works: 🔹 Massive synthetic environments Waymo builds physics-accurate digital replicas of real cities — including traffic lights, pedestrians, cyclists, rare edge cases, and unpredictable driver behavior. 🔹 Behavioral cloning + reinforcement learning Models learn from real human driving data, then improve through reward-based systems inside simulation. The AI practices millions of scenarios — far more than any human driver could experience. 🔹 Closed-loop testing Instead of just predicting “what happens next,” the AI controls the vehicle inside simulation. That means it experiences the consequences of its own decisions — smoother acceleration, safer lane changes, reduced jerk (rate of ...