Elon Musk just unveiled breaking revelation about Tesla’s next-generation full-self driving technology involving neural nets. Keep listening because this is not what we usually expect.
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In recent years, Elon Musk's Tesla Motors has become synonymous with cutting edge technology, and the automotive giant continues to roll out new innovations. Its latest advancement is the integration of neural network technology into its vehicle navigation and control systems.
About an hour ago when asked when the FSD Beta V11.3 will be released, Elon replied "Should start rolling out later this week, next week at the latest." Then the Tesla Owners Silicon Valley Twitter user asked if there are any things that Musk is personally excited about on this upcoming build of FSD. To this the Tesla CEO made a very revealing and somewhat unexpected comment.
Elon replied and said that he is excited about "Many small things. We’re starting to make use of neural nets for vehicle navigation and control, not just vision." First of all, what’s very revealing here is that Tesla will start using neural nets for vehicle navigation systems. But Elon specifically stresses that the neural nets will be used not only for vision, which is normally the case, but also for Tesla FSD navigation and control. Because basically the neural nets will control your car and your driving experience.
I have a question. What was the milestone achieved to start moving the control to the hands of the neural net? That’s a big step forward. Good or bad, what do you think? So Elon says that
Tesla is starting to make use of neural nets for vehicle navigation and control, not just vision. I mean, raise your hands if you understand what he just said. Please comment below and let me know how you think this will change your driving next week if you are an FSD Beta user.
Neural networks are a type of artificial intelligence (AI) that mimics the function of the human brain. They are made up of interconnected layers of neurons that process information in a similar fashion to the neurons in a human brain. Neural networks are highly adaptable and can be trained to recognize patterns and make decisions.
Until now, Tesla has primarily relied on computer vision for its vehicle navigation and control systems. With the integration of neural network technology, Tesla can now take advantage of the AI's ability to process complex data and make decisions on the fly.
For example, neural networks can be used to detect road hazards and make decisions about the best route to take. They can also be used to detect traffic patterns and make decisions about the best route to take in heavy traffic. With the integration of neural nets, Tesla's vehicles will be able to navigate roads and highways more effectively, reducing the need for driver intervention and making the roads safer for everyone.
Additionally, neural networks can be used to optimize the performance of the car, making decisions about the best speed and power settings for a given situation. This could lead to improved fuel efficiency and a smoother driving experience for Tesla owners.
Tesla's integration of neural networks is just the latest example of how the company is pushing the limits of technology. With the integration of this AI technology, Tesla's cars will become smarter and more efficient than ever before. It's a breakthrough development, and one that could revolutionize the way we drive. But is it good that the humanity is going into this direction?
Please, let me know your thoughts on how you feel about our lives becoming too dependent on AI. Will it make us more lazy and what will laziness do to our civilization? I am very much worried where we are going. What about you?
In the meantime, don't get destructed by Tesla's price cuts, there is a bigger story happening right now at Giga Texas, related to the Cybertruck's production.
Armen Hareyan is the founder and the Editor in Chief of Torque News. He founded TorqueNews.com in 2010, which since then has been publishing expert news and analysis about the automotive industry. He can be reached at Torque News Twitter, Facebok, Linkedin and Youtube.
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