Neural Nets to Be Used for Vehicle Control

January 15, 2023 By Nuno Cristovao Elon Musk has provided further guidance on Tesla's next major release of FSD Beta, v11.3. Last week Musk said that v11.3 would be ready in about

'two weeks' and would contain many major improvements. We've heard these two-week estimates before, but it's reassuring that Musk is being specific with details on this upcoming

release. Now just seven days after his last tweet, Elon Musk is giving us more details on this significant upgrade. Timeline Musk said he expects FSD Beta v11.3 to start rolling

out to some customers later this week, or next week at the latest. This matches up with his initial two weeks estimate a week ago. Elon Musk's estimates are known to be overly

optimistic, but given the number of details he's releasing, it sounds like Tesla may be close to releasing this next build. FSD Beta v11.3 will likely roll out to Tesla employees

first and then go out to select FSD Beta testers, possibly the original OG group. Since this is a major milestone and includes major improvements, expect a slow and gradual

rollout. Although we may get our first glimpse into FSD Beta v11 this week, it may be several weeks or more before the majority of customers have access to this beta. Neural Nets

for Vehicle Behavior A week ago Musk said this upgrade will include 'many major improvements.' Last night Musk revealed some additional details. He said there will be "many small

things," one of which will be that Tesla will begin to use neural nets for vehicle navigation and control, instead of just vision. Today Tesla uses neural networks to determine the

vehicle's surroundings, where objects are, what they are, and their distances from the vehicle to create a 3D environment known as 'vector space.' With this information, the

vehicle can then plan a path and navigate around these objects toward its destination. However, based on Musk's comment, it sounds like Tesla is currently only using neural nets to

determine its environment and not for controlling the vehicle. This means that how the vehicle behaves, how it finds a path, and how it moves is still a process that is coded

traditionally. In the same way that Tesla uses millions of images to determine what a stop sign or traffic cone is, it sounds like Tesla will now use a large number of examples to

determine how to best control the vehicle in various situations. That could mean that Tesla will take millions of quality examples of how to gradually accelerate or slow down,

based on real driving behavior to determine how the vehicle should accelerate in different situations. This could be applied to every driving characteristic such as turning, slow