3 ms·
I mean, there is no requirement that we use neural networks for driving (or for all of driving); standard logic and sensor analysis is also an option if less ge
by j5155 3y ago
I mean, there is no requirement that we use neural networks for driving (or for all of driving); standard logic and sensor analysis is also an option if less general. There are also things like automatic emergency braking that kick in with direct logic even when a human is driving; presumably we may be able to make more advanced similar systems for self driving.
But in general I would definitely agree that putting chatgpt into a car would end poorly.
- runeks 3y ago> I mean, there is no requirement that we use neural networks for driving (or for all of driving); standard logic and sensor analysis is also an option if less general. I really think this is the way forward for self-driving cars. I wonder how expensive it would be have a highly precise, synchronized clock in all cars, and have them send out digitally signed, time-stamped messages every ~millisecond in order to enable locating them via triangulation. They could also report information from their own sensors, such that e.g. a traffic jam further up the road can be transmitted to cars further back. This would require that each car contain a private key in a TPM, where the entity that issues license plates would act as the certificate authority.
- nuancebydefault 3y agoThe thing is, in the real world, you cannot rule out that there are cars that don't have the required hw or sw on the road. Maybe in some future there will be no such exceptions, but the driverless cars technology is not going to wait for that. For the foreseeable future, the solution must be a hybrid (human/old tech/new tech) , unfortunately.