Tesla's full self-driving version 12 demonstrates expert handling of chaotic construction sections, showcasing the car's ability to navigate novel situations with understanding and reasoning, marking a significant advancement in Tesla's AI technology
Questions to inspire discussion
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What can Tesla's full self-driving technology handle?
—Tesla's full self-driving technology can navigate construction sites and complex situations without human intervention, showcasing advanced intelligence and reasoning capabilities.
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What is the focus of Tesla's self-driving technology?
—Tesla is focused on achieving level four autonomy in their vehicles, as they believe level five is not worth pursuing due to the high cost and minimal benefits.
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What is the potential for improvement in Tesla's self-driving capabilities?
—Elon Musk acknowledges the limitations of the hardware in Tesla cars and discusses the potential for improvements in cameras, chips, and radar for better self-driving capabilities.
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What is the current state of Tesla's AI technology?
—Elon Musk believes Tesla AI is underrated, there is no competition, and improvement will accelerate now that they are no longer AI training constrained.
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What is the impact of Tesla's technology advancements?
—Tesla is no longer compute constrained, which will lead to dramatic improvements in full self-driving and Optimus, as well as advancements in embodied AI.
Key Insights
- 🛣️ Tesla's full self-driving version 12 handles chaotic construction sections like an expert, achieving smoothness even in situations that would confuse human drivers.
- 🚗 Tesla's end-to-end neural network architecture allows the car to navigate through novel situations with no prior training data, handling real-world situations like construction with understanding and reasoning about the scene semantically.
- 🧠 Elon Musk emphasizes that self-driving is an intelligence problem, not a sensor problem, challenging the traditional approach to autonomous vehicles.
- 🚗 Elon Musk claims that Tesla AI is very underrated and that improvement will accelerate dramatically now that they are no longer AI training.
- 🖥️ Tesla may have finally acquired a whole bunch of H100s from Nvidia, which means they are not compute constrained anymore, potentially leading to significant advancements in their AI technology.
- 🚀 Tesla's access to a lot of compute means they are able to do training runs much faster, potentially overcoming the bottleneck in end-to-end training for neural networks.
- 🔮 The AI model goes through billions or trillions of iterations, projecting future events and comparing its predictions with the correct answers from human drivers.
- 🤖 Tesla's 2024 is looking like it's going to be really good in the embodied AI space, with dramatic improvements in both full self-driving and demonstrations from Tesla's Optimus.
#Tesla #FSD #ElonMusk #Dojo #FSD #Compute #DrKnowItAll
Clips
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00:00 🚗 Tesla's AI team is no longer compute constrained, changing the future.
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00:30 🚗 Tesla's self-driving technology can now navigate construction sites and complex situations without human intervention, showcasing advanced intelligence and reasoning capabilities.
- Self-driving technology is now able to navigate construction sites and complex situations without human intervention, demonstrating advanced intelligence and reasoning capabilities.
- The demonstration of the construction zone with Chinese translation is amazing.
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02:02 🚗 Tesla's neural network architecture enables cars to navigate novel situations and handle real-world scenarios, while the full self-driving technology can absorb and understand information to make plans and execute them, with potential limitations and the possibility of a joint embedded predictive architecture to address them.
- Tesla's neural network architecture allows cars to navigate through novel situations and handle real-world scenarios by understanding and reasoning about the scene semantically.
- Tesla's full self-driving technology can now absorb and understand information to make plans and execute them, with potential limitations and the possibility of a joint embedded predictive architecture to address them.
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03:48 🚗 Tesla is focused on achieving level four autonomy, as Elon Musk believes level five is not worth pursuing, and improvement in self-driving capabilities will accelerate now that they are no longer AI training constrained.
- Self-driving is an intelligence problem, not a sensor or hardware problem, and Elon Musk believes that hardware has its limits.
- Tesla is focused on achieving level four autonomy in their vehicles, as they believe level five is not worth pursuing due to the high cost and minimal benefits.
- Elon Musk acknowledges the limitations of the hardware in Tesla cars and discusses the potential for improvements in cameras, chips, and radar for better self-driving capabilities.
- Elon Musk believes Tesla AI is underrated, there is no competition, and improvement will accelerate now that they are no longer AI training constrained.
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07:04 🚗 Tesla is no longer constrained by AI training compute, putting them way ahead of competitors like Ford and Google.
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08:03 🚗 Tesla has made significant progress in building infrastructure for its compute, now having access to a lot more power for faster training runs and replacing software 1.0 with a smaller code using large tensors and spreadsheets.
- Building the energy, cooling, and communications infrastructure for Tesla's compute is a complex process, but they have made significant progress and have access to a lot more compute power now, allowing for faster training runs.
- The code for Tesla's software 1.0 has been replaced with a much smaller code that uses large tensors and spreadsheets.
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09:30 🚀 Tesla's AI technology is no longer constrained by computing power, allowing it to learn from videos and improve its performance using mathematics and gradient descent.
- Training weights for AI requires a lot of compute time for data collection, curation, and iteration, which is essential for the computer to guess the right answer and project future events in long video sequences.
- Musk explains that Tesla's technology is now no longer constrained by computing power, as it uses mathematics and gradient descent to learn from videos and improve its performance.
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10:57 🚗 Tesla no longer compute constrained, leading to dramatic improvements in full self-driving and Optimus, as well as advancements in embodied AI.
- Tesla is no longer compute constrained, which will lead to dramatic improvements in full self-driving and Optimus, as well as advancements in embodied AI.
- Tesla is leading the way in impressive technology, and the public will soon realize it.
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