Raw LLM Responses

@zoravar.k7904 the reason I had for using a server that way is because if every car uses its sensors and calculations to determine a movement, each car would take some time to receive the information, to process it and respond to it. In that scenario, however, assuming a separation of 1.5m between each car, the server could send an order to 10-15 cars in a line on the other lane to decrease the distance between them by 10% leaving enough space for the car in danger to slip in and avoid every collision. The server could tell every car behind the obstacle to slow down to avoid a collision. That would be quite effective. I did think though, of connection loss. A posible solution to it might be to build signal repeaters every now and then or even using Li-Fi under the road to communicate with the cars, but I admit that I don't know if it would be finantially proffitable. As for all companies having to share a server, that isn't really a problem. Think, for example, of how every company uses WinRAR and doesn't program their own RAR compression/decompression algorithm. In this case, the server would be run by a company dedicated to this server. And every car would just use it the same way every company uses Windows computers or uses light bulbs made by someone else instead of making their own. In this kind of scenario, the cars would be built to send sensor information to the server, and the server would do most calculations. Separating the work and letting some companies do a part of the job, and others do other parts is a good way of improving the results. So, basically, a self driving car would be the sum of the car with sensors built by car companies, and the calculations from this, one server.