Is it plausible they can use the large GPT model, to distill a smaller car driving model only from it and then run that onboard. Seems like that will solve all your issues.
I'd be very surprised if at the very least Tesla/xAI aren't actively investigating that already. The general purpose intelligence to deal with complex new situations will never fit into a pure driving model, because it will need to understand human behaviour on a level that goes way beyond what people do on a road. I'm pretty sure that an eventual level 5 system will look closer to GPT than any traditional driving model. The biggest issue is indeed latency and we probably won't see it in real cars until a multi-trillion parameter model like GPT-6 fits on a simple ASIC that can run in an affordable car. Right now a stack of B200s that can run a frontier intelligence model costs more than a car itself. But a GPT-8 running something like 20k tokens/s on a Taalas HC5 will almost certainly be able to drive a car under real conditions.
I'd be very surprised if at the very least Tesla/xAI aren't actively investigating that already. The general purpose intelligence to deal with complex new situations will never fit into a pure driving model, because it will need to understand human behaviour on a level that goes way beyond what people do on a road. I'm pretty sure that an eventual level 5 system will look closer to GPT than any traditional driving model. The biggest issue is indeed latency and we probably won't see it in real cars until a multi-trillion parameter model like GPT-6 fits on a simple ASIC that can run in an affordable car. Right now a stack of B200s that can run a frontier intelligence model costs more than a car itself. But a GPT-8 running something like 20k tokens/s on a Taalas HC5 will almost certainly be able to drive a car under real conditions.