The source code of this system may not be all you'd need, or even the most valuable or competitively differentiating element. As I understand it, the system is

The source code of this system may not be all you'd need, or even the most valuable or competitively differentiating element. As I understand it, the system is based on machine learning with a large training dataset gathered from customers (the "fleet learning" technology). From a discussion about determining whether to interpret radar-detected objects as obstacles: "Initially, the vehicle fleet will take no action except to note the position of road signs, bridges and other stationary objects, mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object, whether Autopilot is turned on or off, then that object is added to the geocoded whitelist." https://www.recode.net/2016/9/12/12889358/tesla-autopilot-data-fleet-learning https://www.recode.net/2016/9/12/12889358/tesla-autopilot-da... It may be that much of what makes autopilot effective is just data, rather than intelligent algorithms. Furthermore, giving away such data used to tune the system may create customer privacy concerns.