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- 🤖 ChatGPT for Vehicles Takes Self-Driving to New Heights
Good morning and welcome to the latest edition of neonpulse!
Today, we’re talking about Tesla’s game-changing AI leap with FSD 12 👀
ChatGPT for Vehicles Takes Self-Driving to New Heights
Tesla's recent unveiling of its AI system tailored for vehicles has sparked intrigue and speculation among tech enthusiasts and automotive fans alike. In a move reminiscent of the ChatGPT phenomenon, engineer Dhaval Shroff pitched a groundbreaking concept to CEO Elon Musk, proposing an AI system that learns to drive by processing vast amounts of human driving behavior data. This innovative approach, aimed at enhancing Tesla's autopilot system, represents a significant departure from traditional rule-based algorithms, ushering in a new era of neural network-driven autonomous driving.
The core idea behind the new system, called FSD 12, is its reliance on billions of video frames depicting human driving behavior for training. This self-training methodology mirrors the approach adopted by advanced language models like ChatGPT, which generate responses based on extensive exposure to human text. Musk himself heralded the potential of this innovation, not only in revolutionizing autonomous vehicles but also in advancing artificial general intelligence capable of real-world application.
Tesla's endeavors in AI-driven autonomy are not isolated. Competitors like Comma.ai with OpenPilot and Wayve.ai have also made strides in the field. Wayve's collaboration with Microsoft Azure for training its neural network underscores the industry-wide recognition of the importance of advanced computing resources in AI development.
However, challenges persist on the road to fully autonomous driving. One significant hurdle lies in reconciling human driving behaviors with regulatory standards. As the FSD system aims to emulate human drivers, questions arise regarding the acceptability of certain behaviors, such as rolling through stop signs, from a safety and regulatory standpoint. The investigation by the National Highway Safety Board underscores the need for clarity in defining acceptable parameters for self-driving behavior.
Despite substantial investments and technological advancements, the autonomous vehicle industry remains in its infancy, grappling with issues of reliability, safety, and regulatory compliance. Forward-thinking firms like Wayve and emerging startups are doubling down on neural network research, banking on AV2.0 technology to overcome current limitations and drive the industry forward.
Do you believe self-driving cars should strictly adhere to traffic rules, even if human drivers commonly bend them? |
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