The story of Tesla and AI:ding of hearts and hearts of dogs
Elon Musk has claimed that Tesla will one day become the most valuable AI company on Earth because of the amount of video data the car manufacturer collects. However, this claim has sparked a lot of debate. As we look at this, we must reinterpret this story to understand better. Let’s break down the key points:
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Musk’s Vision for AI:
- Musk, along with Tesla, believes that their shared video Dashboard (_reserve capacity) can turn Tesla into an all- automation company. His vision is to tapsome key areas where AI systems can fill the gaps that cars already have. For example, his Autopilot system provides constant assistance during traffic. Turtle-track and his_capsuleosomes, on the other hand, focus on understanding complex situations such as traffic constrictions, phantoms, and other "dragon=rings" of events that cars don’t naturally understand.
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The Data Paradox:
- Data is a valuable resource, but it’s a bit paradoxical. More data doesn’t always mean better AI. Musk’s last successful vision with Tesla’s Autopilot was 43 cars sold in 2019. His 2021 goal to get a million robotaxi rides in a year was far from realistic. Instead, Tesla still faces serious safety challenges.
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LeCun’s Insight:
- Computer scientist Yann LeCun, who heads AI research at Facebook AI Research and is a professor at New York University, warns that even if Tesla could build humans-like robots, it’s still impossible with current AI. The claim that Tesla can build a full autonomous vehicle without human intervention has been validated by collision data from Google researchers on 3D lidar.
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The Importance of Edge Cases:
- Traditional AI systems, like ChatGPT, are trained on vast amounts of data but lack the ability to handle unexpected situations. Tesla’s unique approach uses vast amounts of public driving video to learn edge cases, such as near collisions or pedestrians crossing the road. However, these systems are still ffl不通, especially in complex traffic situations.
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Algorithmic Limitations:
- While Tesla’s system has been advanced by Waymo, a leader in self-driving vehicles, we face significant algorithmic limitations. Waymo has mentioned dedicating studies to better simulations and tests to improve safety, but Tesla’s existing algorithm is still prone to minor malfunctions like phantom braking.
- Musk’s Letter of Breath:
- Musk’s final letter assuresthat Tesla’s potential profits could be trillions of dollars if autonomous vehicles become feasible. However, until that happens, Tesla risks losing its most crucial customer segment, which includes étape videos and images from input vehicles.
In conclusion, while Tesla’s AI pitch is optimistic, it needs a decade of consistent research and significant investments to achieve full autonomy and realistic human-like robotics. The future of autonomous driving is still far fetched, but we can startحال this experiment now.
