Welcome back to the AI Breakdown. The video that you were watching was live streamed by Elon Musk on Friday evening. What it is, is Elon in a Tesla showing off their new full self-driving mode. Now, what makes this version of full self-driving or FSD different than some previous iterations of this software powering the Tesla is that, unlike previous models that used specific software with specific logic embedded in code to tell the car what to do in specific situations, this version is powered by artificial intelligence. It has been fed, in other words, a huge amount of video data about good driving so that it learns what good driving is and can make better decisions in the moment. People who are paying attention closely say that this is an absolutely huge moment and represents a sea change.
Robert Scoble wrote, ‘Our world changed tonight. In 10 years, we will look back at the first public demo of a robot that learned to move around the world by watching only videos. This is a paradigm shift in how software is built.’
Effectively, what Scoble is saying is that instead of a world where software is pre-programmed with logic from humans, we’re increasingly seeing software that’s designed to learn from inputs and make decisions for itself based on that learning. Tesla’s full self-driving AI is a prime example of this paradigm shift. Instead of pre-programming the AI with specific instructions about stop signs, white lines, and other driving rules, Tesla is feeding the AI a ton of video depicting what proper driving looks like in various scenarios. The AI then writes code for the car to behave correctly at every stop sign it encounters.
Tesla’s system learns by collecting and processing data from its fleet of 4 million cars driving around the world. With this data, the AI system can generate commands for the steering wheel, accelerator, and pedal to navigate its environment as good as, if not better than, a human driver. As Tesla collects and processes more data, its AI system continues to improve and make better driving decisions.
The implications of Tesla’s full self-driving AI are immense. It represents a significant milestone in the development of self-driving technology and marks a paradigm shift in how software is built. Tesla’s AI system, powered by artificial intelligence, is capable of learning and making decisions in real-time, leading to superhuman driving capabilities. With billions of dollars invested in training and data storage, Tesla aims to achieve true autonomous driving under any condition.
The age of the self-driving car is finally here. Tesla’s full self-driving AI has the potential to revolutionize transportation and reshape our society. It offers a glimpse into the future where cars never get tired, never make mistakes, and are constantly monitoring their surroundings. As Tesla continues to collect more data and improve its AI system, the possibilities for self-driving technology are endless.
In conclusion, Tesla’s full self-driving AI represents a significant moment in the history of self-driving technology. It showcases the power of artificial intelligence and the potential for AI to revolutionize various industries. The paradigm shift in how software is built, from pre-programmed logic to learning-based systems, opens up new possibilities and challenges for the future. As we enter the era of self-driving cars, it is crucial to address the societal and ethical implications of this technology. The conversation around self-driving technology is just beginning, and it will be fascinating to see how it unfolds in the coming years.
Join the discussion on the AI Breakdown Discord or leave a comment here to share your thoughts on the impact of Tesla’s full self-driving AI and the future of self-driving technology.
