TL;DR:
- Tesla’s Full Self-Driving suite will introduce “end-to-end AI” with the v12 release.
- The new strategy will simplify the process of building component-based systems and further optimize the development of self-driving software.
- End-to-end AI allows the model to learn all steps between input and output and utilize only the vehicle’s cameras for inputs.
- The entire FSD suite will be coded in a single neural network and can be learned by relying on driving behaviors input by humans.
- V11.4.1 will address concerns with basic maneuvers
- The new update will be a game-changer in the world of self-driving technology.
Main AI News:
Tesla’s CEO, Elon Musk, announced that the upcoming v12 release of Tesla’s Full Self-Driving (FSD) suite would introduce “end-to-end AI” and will be vastly different from its current buildout. This is a significant departure from the current FSD, which uses cameras for inputs and traditional path algorithms for outputs like steering, acceleration, braking, and other driving behaviors.
The new “end-to-end AI” strategy will allow the FSD model to learn all steps between the initial input phase and the output result. It will utilize only the cameras on a Tesla vehicle to input the neural network, while the output will be the steering, acceleration, braking, and other driving behaviors. The entire FSD suite will be coded in a single neural network and can be learned by relying on driving behaviors input by humans.
This groundbreaking update will simplify the process of building component-based systems and further optimize the development of self-driving software. However, there are also drawbacks, such as a lack of predictability and more difficulty diagnosing problems.
Although the v12 release is yet to come, v11.4.1 is already showing some major improvements. As owners have expressed some concern with basic maneuvers, Musk assures that the update will address these concerns.
The millions of miles traveled with FSD by owners have helped make the system more robust and improve over time in terms of behavior. With the new “end-to-end AI” strategy, the FSD suite will be taken to an entirely new level, making it a game-changer in the world of self-driving technology.
Conlcusion:
Tesla’s introduction of “end-to-end AI” with the v12 release of its Full Self-Driving suite is a significant development for the self-driving technology market. The new strategy will simplify the development process and optimize software development, potentially pushing Tesla even further ahead of its competitors.
The ability to learn all steps between input and output and rely solely on the vehicle’s cameras for inputs is a game-changer, and the entire FSD suite coded in a single neural network is a major innovation. With Tesla’s reputation for technological innovation, it is likely that this development will push the company even further ahead of its competitors in the self-driving technology market.
