Is that a game for you of creating like larger and larger models like next generation of models that are larger the way OpenAI go from GPT-3 to GPT-4? Or is that more like you're set on your model, and you need to throw more and more compute to accelerate the pace of learning to improve reliability. And then I had a quick follow-up real quick on your rollout in Texas and in California next year. The plan, as you see today, is it to roll out like a fleet or two with cars that will start with like a supervisory like some onboard supervision, someone sitting at the wheel just in case and removing the supervisors progressively? Or are you aiming for going fully fledged without even a human supervisor when you get started?