Tesla is making significant advancements in AI and autopilot technology, with a focus on launching a robotaxi and improving Full Self-Driving capabilities, while also addressing regulatory concerns and emphasizing the importance of a methodical approach to their presentations and future goals
Questions to inspire discussion
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What is Tesla's focus in AI and autopilot technology?
—Tesla is making significant advancements in AI and autopilot technology, with a focus on launching a robotaxi and improving Full Self-Driving capabilities.
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When is the unveiling of Tesla's Robo taxi?
—Elon Musk announced the unveiling of Tesla's Robo taxi on August 8th, despite rumors that the $25,000 car may be canceled.
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What is the biggest factor in the timing of Robo Taxi?
—The biggest factor in the timing of Robo Taxi is state approvals, but in the US, by default, autonomous vehicles are allowed in both testing and operation in 30 states.
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What is the impact of Elon Musk's tweets on competition?
—Elon's tweets are a signal to competition that Tesla is already close to solving the problem and they shouldn't even bother trying to compete.
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What is the potential impact of AI and the uncertainty of reaching the goal by the end of the year?
—Elon Musk discusses the progress towards achieving 6 billion miles of regulatory approval for Tesla's Master Plan part two, with the potential impact of AI and the uncertainty of reaching the goal by the end of the year.
Key Insights
Tesla's Robo Taxi Network Development
- 🤖 Elon Musk's announcement of Tesla's robotaxi on August 8th has sparked a lot of discussion and anticipation within the company.
- 📈 "It's exciting times right because it's seems like we're on this exponential growth curve."
- 🌍 Tesla's focus on launching a robo taxi network in North America aligns with the market preference for larger cars, while also addressing the need for a local compact car in China.
- 🚕 Launching robot taxi by the end of the year could provide a case study for Tesla and potentially save lives by avoiding drunk driver accidents.
- 🌐 Something tangible like launching a real fleet of 30 to 50 cars that are going to operate in a specific city and geographical area as the next step by the end of the year.
- 🍎 Tesla should take the Apple approach to events, making them very methodical and choreographed to cover all the bases and send a clear message.
Challenges and Advancements in Self-Driving Technology
- 🚗 Creating an intelligence that can drive a car is one of the hardest computer science problems ever attempted.
- 🚗 Elon Musk highlights the staggering difficulty and expense of developing generalized self-driving technology, with over $10 billion spent on AI, training, compute, and data pipelines this year alone.
- 🚶 The car's ability to recognize a pedestrian's intent is a solid and mind-blowing advancement in technology.
- 🚗 Asok highlights the safety of FSD, with many collisions prevented along the way, proving supervised driving to be safer than expected.
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Clips
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00:00 🚗 Tesla executives discuss advancements in AI and autopilot technology, with Elon Musk announcing the unveiling of Tesla's Robo taxi on August 8th.
- Elon Musk announced Tesla's robotex unveiling, with comments from Tesla executives on continuing compact car production, FSD version 12.3.3, and the challenges of solving Robo. Taxi.
- Tesla executives discuss the exciting advancements in AI and autopilot technology, signaling a potential inflection point for the company.
- Elon Musk announced the unveiling of Tesla's Robo taxi on August 8th, despite rumors that the $25,000 car may be canceled.
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03:01 🚗 Tesla executives deny overblown reports, delay compact car unveiling to focus on robo taxi and version 12 neural net, hint at local versions for different markets and discuss challenges and advancements in autonomous driving technology.
- Don't always believe what you read, especially from Reuters, as the recent report about Tesla is likely overblown and denied by Elon Musk.
- Tesla is delaying the unveiling of their compact car to avoid the Osborne effect and is focusing on the robo taxi and version 12 neural net, with executives hinting that Elon Musk doesn't reveal everything.
- The unveiling of the robotaxi is also a compact car unveiling, and the decision not to pursue a compact car is not due to competition in China but because the robotaxi is becoming a reality, with a focus on building a Chinese-specific car.
- Elon Musk discussed the possibility of local versions of Tesla vehicles for different markets, including the potential launch of a robo taxi network in North America and the introduction of a compact car in China.
- The biggest factor in the timing of Robo Taxi is state approvals, but in the US, by default, autonomous vehicles are allowed in both testing and operation in 30 states.
- Creating an intelligence that can drive a car is a difficult computer science problem, but with the right technology advancements and data, it can change regulations.
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10:41 🚗 Tesla executives discussed concerns about the regulatory framework for Full Self-Driving, potential accidents with autonomous vehicles, and the plan to launch a robot taxi by the end of the year.
- Rohan discussed the long-awaited Full Self-Driving subscription in Canada and the regulatory framework around robotaxi, expressing concerns about lawmakers' attitudes towards Elon and Tesla.
- There is concern about the potential for accidents and injuries with autonomous vehicles, despite the high safety percentage, and the public's tendency to overreact to isolated incidents.
- Tesla plans to launch a robot taxi by the end of the year and should partner with a forward-thinking city to create a case study, despite concerns about the safety of FSD and autopilot.
- The discussion is about marketing and perception, with the belief that there is a path to success despite challenges.
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14:44 🚗 Tesla's technology relies heavily on its fleet of vehicles, Elon Musk's tweets signal Tesla's progress, and the use of visual cameras for self-driving sets Tesla apart from other companies.
- The biggest factor in making Tesla's technology work well is the fleet of vehicles, which has required a significant investment in training, compute, data pipelines, and video storage.
- Elon's tweets are a signal to competition that Tesla is already close to solving the problem and they shouldn't even bother trying to compete.
- Simulation data may work for certain AI use cases, but for real world driving AI, training must be specific and not cover every possible scenario.
- Elon Musk has been right about many things, including the use of cameras over LiDAR in self-driving technology, which other companies are now realizing.
- Tesla is the only company using visual cameras for end-to-end self-driving, and data is a massive issue that other companies won't be able to address, so it's important to follow Tesla's lead in this area.
- The speaker is excited to share about the power of 12.3.3 and an edge case test for FSD 12.3.3.
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23:34 🚗 Tesla's FSD recognizes pedestrian hand gestures, but still has edge cases to improve on, with Elon Musk discussing the progress towards regulatory approval for Master Plan part two.
- The Tesla car reacts to pedestrian hand waves, stopping and moving based on the gestures.
- The training data for FSD version 12 is not up to par, as there are edge cases where the car doesn't react appropriately to pedestrians facing the other way or using their phone.
- The car can recognize a pedestrian's intent and will learn to solve the issue of hand waving, despite not being perfect yet.
- Tesla AI has driven 1 billion miles on FSD, with many collisions prevented and no deaths, proving supervised driving to be safer than expected.
- Elon Musk discusses the progress towards achieving 6 billion miles of regulatory approval for Tesla's Master Plan part two, with the potential impact of AI and the uncertainty of reaching the goal by the end of the year.
- Stay vigilant and don't take for granted the widespread release of FSD, and the access on the graph is discombobulated.
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30:17 🚗 Tesla executives discuss the importance of disengagement data for understanding human driver intervention, the benefits of using FSD, and Elon Musk's vision for Tesla's future, including a potential two-seater car.
- The disengagement data from running FST in Shadow mode on Tesla cars is important for understanding when the human driver intervenes and deviates from their typical driving patterns.
- The speaker discusses the benefits of using FSD in knowing specific driving quirks and disengagement data.
- Elon Musk's foresight and vision for Tesla's future, particularly in regards to autonomous driving, may have been underestimated, as the company's approach to solving FSD has evolved over the years.
- Elon hinted that the upcoming Tesla car will likely be a two-seater based on the analysis of car ride data.
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34:20 🚗 Tesla executives discuss short-term success goals for events, including launching a test fleet of cars, partnering with cities for the hyperloop, and demonstrating the Tesla app, while also emphasizing the importance of a methodical and choreographed presentation for the upcoming robotaxi project.
- Elon's short-term success for the event would be to launch a test fleet of cars and partner with cities for the hyperloop, demonstrating the Tesla app and live streaming a car picking someone up at the event.
- Tesla should take the Apple approach to events, with a methodical and choreographed presentation, for the upcoming robotaxi project.
- The upcoming Tesla vehicle demo should include a scenario of ordering a car and going somewhere, and the event is not a recruitment event.
- Elon Musk's mention of the number 88 at a product unveiling event may indicate a potential focus on the Chinese market.
- The speaker agrees with the idea of being satirical and having fun, but also acknowledges the importance of being serious and calculating.
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38:45 🚗 Tesla focuses on Chinese strategy, hiring prototype vehicle operators for virtual reality teleoperation, preparing for self-driving car launch, and discussing stock market impact and Yashu's analysis.
- Tesla needs to focus on their Chinese strategy for long-term success and there is a significant increase in job openings for prototype vehicle operators.
- Tesla is using virtual reality teleoperation for their robo taxis, with someone in headquarters monitoring and taking over driving if needed, as seen in the job posting for Prototype vehicle operators.
- Tesla is hiring people to operate vehicles for data collection and calibration in preparation for the launch of their self-driving cars.
- The speaker discusses the impact of unveiling new products on the stock market and Wall Street's tendency to be less wrong in their predictions.
- Yashu is praised for his knowledge and analysis of Tesla stock, and viewers are encouraged to follow him on his YouTube channel and visit his website for comprehensive resources.
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Duration: 0:44:12
Publication Date: 2024-04-08T13:23:29Z
WatchUrl:https://www.youtube.com/watch?v=YznOmByUAaI
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