'Recommendation from Elon Musk: Give Tesla Self-Driving a Try,' Advises Meta's Chief AI Scientist
Elon Musk, the CEO of Tesla, suggested on Friday that Meta Platforms Inc's Chief Artificial Intelligence scientist should explore Tesla's self-driving technology in search of the missing element in machine learning.
In response to a Twitter post by Yann LeCun regarding teaching machines about the workings of the world, Musk stated, "You should try Tesla self-driving."
LeCun, a renowned scientist, researcher, and professor at New York University, expressed his belief that there is still a significant missing component for machines to achieve human-level intelligence.
Asking those who believe that AGI (Artificial General Intelligence) is imminent, LeCun raised questions about the absence of level-5 autonomous driving and the lack of domestic robots capable of clearing a dinner table. According to LeCun, a 17-year-old with 20 hours of driving training and a 10-year-old child could effectively accomplish these tasks, highlighting the disparity between current AI capabilities and human abilities.
LeCun, in response to Musk's recommendation, expressed his intention to try Tesla's self-driving feature as soon as he received it on his 2023 Model S Plaid, confirming his status as a Tesla user. He also mentioned that he has been using autopilot since 2015 when he first got his Model S.
Musk replied to LeCun once again, suggesting, "Just tap the button for FSD Beta."
The exchange between Musk and LeCun holds significance as it comes after an open letter signed by various individuals, including Musk and Apple co-founder Steve Wozniak, calling for a pause on training AI systems surpassing OpenAI GPT-4. LeCun previously criticized the exaggerated concerns surrounding AI, referring to them as "preposterously stupid" and based on a misunderstanding.
This isn't the first time LeCun and Musk have debated AI. In April, LeCun questioned the fear surrounding AI, pointing out that we don't even have a blueprint or demonstration of a system capable of human-level intelligence.
In other news, a recent report from German newspaper Handelsblatt revealed that customers filed over 2,400 complaints about self-acceleration issues and 1,500 complaints regarding braking problems between 2015 and March 2022. While most incidents involving Tesla's FSD features had minor consequences, some resulted in fatal outcomes, according to leaked data from Tesla's IT system cited in the report.
Tesla's self-driving technology, also known as Autopilot, is an advanced system designed to enable autonomous driving capabilities in Tesla vehicles. It utilizes a combination of sensors, cameras, and artificial intelligence algorithms to navigate and control the vehicle on the road.
Tesla's self-driving feature offers various functionalities, including adaptive cruise control, lane centering, and automated lane changes. It aims to provide a more convenient and safer driving experience by assisting drivers with tasks such as maintaining a safe distance from other vehicles, staying within lanes, and navigating highway interchanges.
The system is continuously evolving through over-the-air software updates, which improve its capabilities and introduce new features. Tesla has been at the forefront of self-driving technology development, often pushing the boundaries and setting ambitious goals for achieving full autonomy.
However, it's important to note that Tesla's self-driving system is classified as a Level 2 autonomous system, meaning it still requires driver supervision and intervention. Drivers are advised to remain attentive and ready to take control of the vehicle when necessary.
Tesla's self-driving technology has garnered both praise and criticism. Supporters applaud its potential to enhance road safety and reduce accidents, while critics raise concerns about the system's limitations and the possibility of overreliance on automation.
Regulations and legal frameworks surrounding self-driving technology vary across jurisdictions, and the deployment of fully autonomous vehicles on public roads is still a topic of ongoing debate and development.
Overall, Tesla's self-driving technology represents a significant step towards achieving autonomous driving, but there are still technical, regulatory, and societal challenges to overcome before fully autonomous vehicles become commonplace on our roads.
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