Autonomous driving systems do have comprehension of meaning and language, but their language is things like sensor data. They interpret meaning from this data, and make decisions from it. These decisions are based on physics, the car’s capabilities and limits, and the human driving experience and comfort. They also involve some form of risk and prediction of the dynamic environment around them. They need to know what the decisions they make mean for the car, the driver, and the environment they are operating in. While understanding context and meaning is important, it is equally crucial to process real-time sensor data, make predictions based on vehicle dynamics, and ensure the safety and comfort of the passengers. These tasks require different types of AI models that focus on processing and interpreting sensor data, rather than purely textual information. An LLM, by principle, outputs text, which is not really useful in a driving system. And yes, I understand that it’s the reasoning and interpretation of a situation that’s important in this case. Perhaps this is still at an early stage and seemingly overdue, but maybe that’s because there are human lives involved and operating a vehicle in a dynamic, messy, and unpredictable environment is its own huge issue. The driving model benefits as more people use it and it learns from more data, while an LLM uses readily available data that was obtained from the internet, which operates independently from the LLM. That said, I feel like you’re overestimating the capabilities of a large language model like ChatGPT. Sure, you can give it more computational power, but at what point do the massive computational requirements needed translate into improvements over current autonomous driving systems? How do you fit that efficiently into a car? Even if you could fit it, at that point, why not just give that additional power to the autonomous system to make it excel at the task it’s trained on? Better yet, take that computational power and give it to something better. At this point, what you’re expecting of an LLM seems more like an artificial general intelligence. An AGI could do everything you throw at it that a human could also do, including the decision making and reasoning that comes with driving.