[theshrike79]

But you, as a human, can look at another human walking parallel to your car and based on your life experience and knowledge determine the probability of that human ending up in front of your moving car. And you'll do this in microseconds. And you can do this for every other object in your vicinity.

When can an FSD AI system do the same?

[andrewfurey2003]

I would only say why couldn't an AI do the same? I dont think they can atm, its just a problem that needs more work.

[theshrike79]

There is no technical reason why we couldn't have an AI system do the same thing.

But the "just a problem that needs more work" requires impractical amounts of computing power and storage so it's not feasible for vehicle use. Unless the vehicle is a van where the whole back is a full-on datacenter and batteries to run it.

Tesla, in the end, is on the correct path by going camera only. You CAN do everything with just a ton of cameras, computing power and a neural network. But it's not easy or computationally light.

For example: a LIDAR can get multiple datapoints from a single object with one pass (like exact distance to every point in the object). A camera system has to calculate or guesstimate it every single time. It's possible, but requires cycles that could be used elsewhere.

Same with parking radars in cars. They're dirt cheap and tell you how far stuff is from the sensor. You CAN do it with cameras, but again, that's a ton of calculation and guesstimating.

Maybe we'll get there at one point, but we're not there yet.