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Some pretty interesting Tesla Robotaxi data just came out 👀 FutureAzA points to new NHTSA data showing zero crashes while Tesla’s Model Y Robotaxis were driving autonomously from mid-June to mid-July. The two reported incidents involved human-driven cars hitting Robotaxis that were stopped or parked. Tesla is also making... show more

Herbert Ong

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12,970 просмотров • 22 дней назад •via X (Twitter)

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Tesla’s Robotaxi fleet could start growing pretty quickly from here! Cern Basher is modeling what happens if autonomous miles keep growing around 17% every week. Based on Ashok’s update of roughly 145K miles in one week, that could mean around 137 cars averaging 150 miles a day. But here’s where it gets interesting: as the miles keep compounding, Tesla has to keep adding cars faster just to keep up. At 100 miles per car per day, Cern’s model gets to roughly 2,000–3,000 Robotaxis by year-end! Eventually, the problem might flip from “Can Tesla scale Robotaxi?” to “Can Tesla build Cybercabs fast enough?” $TSLA

Tesla’s Robotaxi fleet could start growing pretty quickly from here! Cern Basher is modeling what happens if autonomous miles keep growing around 17% every week. Based on Ashok’s update of roughly 145K miles in one week, that could mean around 137 cars averaging 150 miles a day. But here’s where it gets interesting: as the miles keep compounding, Tesla has to keep adding cars faster just to keep up. At 100 miles per car per day, Cern’s model gets to roughly 2,000–3,000 Robotaxis by year-end! Eventually, the problem might flip from “Can Tesla scale Robotaxi?” to “Can Tesla build Cybercabs fast enough?” $TSLA

Herbert Ong

24,958 просмотров • 4 дней назад

Even my kids know that in a world full of Tesla Robotaxis, Waymo is dunzo. It’s really not that complicated. Waymo needs expensive LiDAR, radar, cameras, specialized hardware, detailed maps, and a massive amount of infrastructure just to operate in certain areas. Tesla’s approach is completely different. Cameras are cheap. Tesla can mass-produce vehicles at a scale Waymo can’t come close to, use the same AI system across millions of cars, collect massive amounts of real-world driving data, and improve the entire fleet through software updates. That’s where the economics become almost impossible to compete with. The cheaper you can build the car, the cheaper you can operate it, and the more vehicles you can put on the road, the cheaper you can eventually make every ride. Waymo might prove Robotaxis can work. Tesla’s goal is to make them cheap enough and build enough of them to be everywhere. That’s the difference people still don’t understand. This isn’t just about who has the better Robotaxi today. It’s about who can build millions of them, drive down the cost per mile, and scale across the world. Even my kids understand the end game. Tesla Robotaxis are going to be everywhere. In the world where Tesla Robotaxis are flooded all around the world, it will very difficult for Waymo to survive.

Even my kids know that in a world full of Tesla Robotaxis, Waymo is dunzo. It’s really not that complicated. Waymo needs expensive LiDAR, radar, cameras, specialized hardware, detailed maps, and a massive amount of infrastructure just to operate in certain areas. Tesla’s approach is completely different. Cameras are cheap. Tesla can mass-produce vehicles at a scale Waymo can’t come close to, use the same AI system across millions of cars, collect massive amounts of real-world driving data, and improve the entire fleet through software updates. That’s where the economics become almost impossible to compete with. The cheaper you can build the car, the cheaper you can operate it, and the more vehicles you can put on the road, the cheaper you can eventually make every ride. Waymo might prove Robotaxis can work. Tesla’s goal is to make them cheap enough and build enough of them to be everywhere. That’s the difference people still don’t understand. This isn’t just about who has the better Robotaxi today. It’s about who can build millions of them, drive down the cost per mile, and scale across the world. Even my kids understand the end game. Tesla Robotaxis are going to be everywhere. In the world where Tesla Robotaxis are flooded all around the world, it will very difficult for Waymo to survive.

Teslaconomics

34,323 просмотров • 2 месяцев назад

Cathie Wood says $TSLA’s next growth wave will come from its Robotaxi service: “We do think Robotaxis are going to break it out. We think that as more analysts do the modeling and see that we’re now talking about a company with Robotaxis, recurring revenue model—85% margins for that kind of business. We think that more and more analysts are going to understand how profound this model is going to change.”

Cathie Wood says $TSLA’s next growth wave will come from its Robotaxi service: “We do think Robotaxis are going to break it out. We think that as more analysts do the modeling and see that we’re now talking about a company with Robotaxis, recurring revenue model—85% margins for that kind of business. We think that more and more analysts are going to understand how profound this model is going to change.”

Nic Cruz Patane

29,125 просмотров • 7 месяцев назад

🚨 Tesla’s Robotaxi fleet in Texas is starting to pick up some serious momentum! Jeff Lutz 🔋 points to 432 registered autonomous vehicles, including 45 Cybercabs, with more cars continuing to join the fleet. And the reason Tesla can keep adding them? The software is getting better. Fewer weird pickups, drop-offs, and loops means more confidence to put more cars on the road. Then you’ve got autonomous miles growing around 17% week over week. Add more cars, bigger service areas, and longer hours, and that growth can compound pretty quickly. Feels like Robotaxi is moving from testing the idea to actually figuring out how fast Tesla can scale it. $TSLA

🚨 Tesla’s Robotaxi fleet in Texas is starting to pick up some serious momentum! Jeff Lutz 🔋 points to 432 registered autonomous vehicles, including 45 Cybercabs, with more cars continuing to join the fleet. And the reason Tesla can keep adding them? The software is getting better. Fewer weird pickups, drop-offs, and loops means more confidence to put more cars on the road. Then you’ve got autonomous miles growing around 17% week over week. Add more cars, bigger service areas, and longer hours, and that growth can compound pretty quickly. Feels like Robotaxi is moving from testing the idea to actually figuring out how fast Tesla can scale it. $TSLA

Herbert Ong

14,280 просмотров • 2 дней назад

Investors are selling $TSLA stock right before ATHs while shorts are pilling up AGAIN... This pattern happens almost every time and the results are always the same. Even the data backs it: June & November are great months for $TSLA as autos, FSD, Robotaxis, services + with SpaceX IPOing + a speculation of a merger, Tesla stock is positioned well to preform nicely. But go ahead! Throw in the towel!

Investors are selling $TSLA stock right before ATHs while shorts are pilling up AGAIN... This pattern happens almost every time and the results are always the same. Even the data backs it: June & November are great months for $TSLA as autos, FSD, Robotaxis, services + with SpaceX IPOing + a speculation of a merger, Tesla stock is positioned well to preform nicely. But go ahead! Throw in the towel!

Pejjy

40,071 просмотров • 3 месяцев назад

🚨 Tesla may wait before letting Cybercabs carry public passengers at scale Even though Cybercabs are now being built at Giga Texas, Tesla still seems focused on growing the unsupervised Model Y fleet first! The idea is likely to collect more real-world Cybercab data internally before a bigger public launch. Hiring activity now points to possible Robotaxi expansion across 33 U.S. cities. Question is: when do we finally see large-scale public Cybercab rides? 👀 $TSLA

🚨 Tesla may wait before letting Cybercabs carry public passengers at scale Even though Cybercabs are now being built at Giga Texas, Tesla still seems focused on growing the unsupervised Model Y fleet first! The idea is likely to collect more real-world Cybercab data internally before a bigger public launch. Hiring activity now points to possible Robotaxi expansion across 33 U.S. cities. Question is: when do we finally see large-scale public Cybercab rides? 👀 $TSLA

Herbert Ong

69,834 просмотров • 3 месяцев назад

the Tesla Tesla Robotaxi story is starting to get really real. Cybercab just entered production. Dallas & Houston just went live (unsupervised). 7 cities by end of June. In Q1, Tesla did ~1M paid Robotaxi miles, double Q4. That curve is just getting started. Yes, Elon's conference call comments had investors nervous about the pace of expansion. I get it. But zoom out. Brick by brick, Tesla is laying the foundation for one of the largest businesses ever built. More cities → more vehicles → more miles → more data → better FSD → repeat 🌱 The flywheel is just starting to spin. We might look back at this moment as the quiet before the exponential. What are your Robotaxi growth expectations now that the Cybercab has launched?? $TSLA ⚡️

the Tesla Tesla Robotaxi story is starting to get really real. Cybercab just entered production. Dallas & Houston just went live (unsupervised). 7 cities by end of June. In Q1, Tesla did ~1M paid Robotaxi miles, double Q4. That curve is just getting started. Yes, Elon's conference call comments had investors nervous about the pace of expansion. I get it. But zoom out. Brick by brick, Tesla is laying the foundation for one of the largest businesses ever built. More cities → more vehicles → more miles → more data → better FSD → repeat 🌱 The flywheel is just starting to spin. We might look back at this moment as the quiet before the exponential. What are your Robotaxi growth expectations now that the Cybercab has launched?? $TSLA ⚡️

Gali

39,308 просмотров • 4 месяцев назад

Tesla’s FSD just hit 9.7+ billion cumulative miles Up from roughly 1 billion just two years ago This is currently the most advanced vision-based AI driving system in the world Now targeting unsupervised FSD at the 10 billion mile mark - expected late May to mid-June 2026 Cybercab / Robotaxi test fleet now at 582+ vehicles in live autonomous testing with ZERO incidents in the past 3+ months Tesla FSD (Supervised) improves road safety by ~9x vs the average U.S. driver

Tesla’s FSD just hit 9.7+ billion cumulative miles Up from roughly 1 billion just two years ago This is currently the most advanced vision-based AI driving system in the world Now targeting unsupervised FSD at the 10 billion mile mark - expected late May to mid-June 2026 Cybercab / Robotaxi test fleet now at 582+ vehicles in live autonomous testing with ZERO incidents in the past 3+ months Tesla FSD (Supervised) improves road safety by ~9x vs the average U.S. driver

X Freeze

19,986 просмотров • 4 месяцев назад

TESLA OPENS ROBOTAXI APP WORLDWIDE AS DRIVERLESS ERA ACCELERATES Tesla has taken its next giant step toward a global autonomous future. The company expanded access to its Robotaxi app beyond North America, allowing users across Japan, Thailand, Hong Kong, South Korea, Australia, Taiwan, Macau, New Zealand, and Mexico to download the platform for the first time. Robotaxi, Tesla’s ride-hailing service powered by its Full Self-Driving technology, is already running pilot programs in Texas, California, and Arizona, with Miami, Houston, Las Vegas, Phoenix, and Dallas next in line. The vehicles have already logged over 550,000 autonomous miles, most from the Bay Area and Austin, and now Tesla is aiming to prove it can scale the system globally. Tesla’s focus is twofold: rapid expansion and full autonomy. The company is working to remove in car safety monitors, using new in cabin data systems to support passengers remotely instead of relying on human supervisors. If successful, Tesla will unlock a new transportation model where rides summon themselves and cars earn income while their owners sleep. The age of human drivers is ending, and Tesla’s Robotaxi network is steering the world straight into it. Source: TESLARATI Tesla

TESLA OPENS ROBOTAXI APP WORLDWIDE AS DRIVERLESS ERA ACCELERATES Tesla has taken its next giant step toward a global autonomous future. The company expanded access to its Robotaxi app beyond North America, allowing users across Japan, Thailand, Hong Kong, South Korea, Australia, Taiwan, Macau, New Zealand, and Mexico to download the platform for the first time. Robotaxi, Tesla’s ride-hailing service powered by its Full Self-Driving technology, is already running pilot programs in Texas, California, and Arizona, with Miami, Houston, Las Vegas, Phoenix, and Dallas next in line. The vehicles have already logged over 550,000 autonomous miles, most from the Bay Area and Austin, and now Tesla is aiming to prove it can scale the system globally. Tesla’s focus is twofold: rapid expansion and full autonomy. The company is working to remove in car safety monitors, using new in cabin data systems to support passengers remotely instead of relying on human supervisors. If successful, Tesla will unlock a new transportation model where rides summon themselves and cars earn income while their owners sleep. The age of human drivers is ending, and Tesla’s Robotaxi network is steering the world straight into it. Source: TESLARATI Tesla

Mario Nawfal

15,080 просмотров • 9 месяцев назад

Insane Tesla story coming out of Norway today. You probably forgot about this weird Tesla crash from 2023 where a Model Y taxi had two bizarre 'sudden acceleration' crashes in just a few seconds. The driver claimed the car accelerated on its own and he was pressing the brake pedal. Tesla claimed its data shows he was pressing the accelerator. The driver was charged, but the charges were later dropped for lack of evidence, and there are indeed some serious problems with the evidence. While Tesla did share some telemetry data, the automaker claimed that the last 6 seconds were somehow missing. It turned out that someone went inside the vehicle, opened up the onboard computer, and removed the network card, which an expert believes would hold critical evidence. Everyone involved claims not to know where the card is.

Insane Tesla story coming out of Norway today. You probably forgot about this weird Tesla crash from 2023 where a Model Y taxi had two bizarre 'sudden acceleration' crashes in just a few seconds. The driver claimed the car accelerated on its own and he was pressing the brake pedal. Tesla claimed its data shows he was pressing the accelerator. The driver was charged, but the charges were later dropped for lack of evidence, and there are indeed some serious problems with the evidence. While Tesla did share some telemetry data, the automaker claimed that the last 6 seconds were somehow missing. It turned out that someone went inside the vehicle, opened up the onboard computer, and removed the network card, which an expert believes would hold critical evidence. Everyone involved claims not to know where the card is.

Fred Lambert

2,122,218 просмотров • 5 месяцев назад

Another 1st time experience with Tesla Robotaxi, this time with Alvaro who came in with his friend dom from Salt Lake City, Utah to give it a try! Alvaro is not very familiar with Tesla or autonomous driving, so he tried out all of the various ride hailing options here in Austin to get a good baseline for comparison. He tried a human-driven Uber, a few Waymo autonomous drives & the Tesla_AI autonomously driven Tesla Robotaxi & he has some very interesting and insightful observations! At the end of the day what did he conclude? Check it out!

Another 1st time experience with Tesla Robotaxi, this time with Alvaro who came in with his friend dom from Salt Lake City, Utah to give it a try! Alvaro is not very familiar with Tesla or autonomous driving, so he tried out all of the various ride hailing options here in Austin to get a good baseline for comparison. He tried a human-driven Uber, a few Waymo autonomous drives & the Tesla_AI autonomously driven Tesla Robotaxi & he has some very interesting and insightful observations! At the end of the day what did he conclude? Check it out!

Joe Tegtmeyer 🚀 🤠🛸😎

34,105 просмотров • 1 год назад

Do they test Cybercabs on the Giga Texas track at night? Yep! I was able to get on site early enough to catch the start of a sunrise while many Cybercabs worked their way around the track. It s interesting to see this happening in the dark with the vehicle lights on as they make their way around. Some of these had the “Cybercab logos” on them, so perhaps they are collecting additional information along with human driven/supervised cars as a baseline, but in any case, it is another data point as we wait for more Cybercabs to be built and hopefully join the Tesla Robotaxi fleet sometime this year.

Do they test Cybercabs on the Giga Texas track at night? Yep! I was able to get on site early enough to catch the start of a sunrise while many Cybercabs worked their way around the track. It s interesting to see this happening in the dark with the vehicle lights on as they make their way around. Some of these had the “Cybercab logos” on them, so perhaps they are collecting additional information along with human driven/supervised cars as a baseline, but in any case, it is another data point as we wait for more Cybercabs to be built and hopefully join the Tesla Robotaxi fleet sometime this year.

Joe Tegtmeyer 🚀 🤠🛸😎

27,050 просмотров • 29 дней назад

Comparing Tesla FSD to Waymo just because they’re both self-driving is kind of like saying the iPhone and Palm Treo were basically the same thing. Jeff Lutz 🔋's point is that the whole package matters! Tesla isn’t just building autonomy. It has the software, the cars, the customer experience, FSD sales, and now Cybercab all working together. Other companies can build impressive self-driving tech too. But the real question is whether they can turn it into a business that actually scales and makes money. Same category doesn’t mean same product, or same business model. $TSLA

Comparing Tesla FSD to Waymo just because they’re both self-driving is kind of like saying the iPhone and Palm Treo were basically the same thing. Jeff Lutz 🔋's point is that the whole package matters! Tesla isn’t just building autonomy. It has the software, the cars, the customer experience, FSD sales, and now Cybercab all working together. Other companies can build impressive self-driving tech too. But the real question is whether they can turn it into a business that actually scales and makes money. Same category doesn’t mean same product, or same business model. $TSLA

Herbert Ong

11,572 просмотров • 2 дней назад

A new 30-minute presentation from Ashok Elluswamy, Tesla’s VP of AI, has been released, where he talks about FSD, AI and the team’s latest progress. Highlight from the presentation: • Tesla's vehicle fleet can provide 500 years of driving data every single day. Curse of Dimensionality: • 8 cameras at high frame rate = billions of tokens per 30 seconds of driving context. • Tesla must compress and extract the right correlations between sensory input and control actions. Data Advantage: • Tesla has access to a “Niagara Falls of data” — hundreds of years’ worth of collective fleet driving. • Uses smart data triggers to capture rare corner cases (e.g., complex intersections, unpredictable behavior). Quality and Efficiency: • Extracts only the essential data needed to train models efficiently. Debugging and Interpretability: • Even though the system is end-to-end, Tesla can still prompt the model to output interpretable data: 3D occupancy, road boundaries, objects, signs, traffic lights, etc. • Natural language querying: ask the model why it made a certain decision. • These auxiliary predictions don’t drive the car but help engineers debug and ensure safety. Tesla’s Advanced Gaussian Splatting (3D Scene Modeling): • Tesla developed a custom, ultra-fast Gaussian splatting system to reconstruct 3D scenes from limited camera views. • Produces crisp, accurate 3D renderings even from few camera angles — far better than standard NeRF/splatting approaches. • Enables rapid visual debugging of the driving environment in 3D. Evaluation & World Models: • Evaluation is the hardest challenge: models may perform well offline but fail in real-world conditions. • Tesla builds balanced, diverse evaluation datasets focusing on edge cases — not just easy highway driving. Introduced a learned world simulator (neural network-generated video engine): • Can simulate 8 Tesla camera feeds simultaneously — fully synthetic. • Used for testing, training, and reinforcement learning. • Allows adversarial event injection (e.g., adding a pedestrian or vehicle cutting in). • Enables replaying past failures to verify new model improvements. • Can run in near real-time, letting testers “drive” inside a simulated world. What’s Next: • Scale robotaxi service globally. • Unlock full autonomy across the entire Tesla fleet. • Cybercab: next-gen 2-seat vehicle designed specifically for robotaxi use, targeting lowest transportation cost (cheaper than public transit). • Same neural networks will power Optimus humanoid robot. • The same video generation system is now being applied to Optimus. • The system can simulate and plan movement for robots, adapting easily to new forms. via the International Conference on Computer Vision (ICCV). Full presentation:

A new 30-minute presentation from Ashok Elluswamy, Tesla’s VP of AI, has been released, where he talks about FSD, AI and the team’s latest progress. Highlight from the presentation: • Tesla's vehicle fleet can provide 500 years of driving data every single day. Curse of Dimensionality: • 8 cameras at high frame rate = billions of tokens per 30 seconds of driving context. • Tesla must compress and extract the right correlations between sensory input and control actions. Data Advantage: • Tesla has access to a “Niagara Falls of data” — hundreds of years’ worth of collective fleet driving. • Uses smart data triggers to capture rare corner cases (e.g., complex intersections, unpredictable behavior). Quality and Efficiency: • Extracts only the essential data needed to train models efficiently. Debugging and Interpretability: • Even though the system is end-to-end, Tesla can still prompt the model to output interpretable data: 3D occupancy, road boundaries, objects, signs, traffic lights, etc. • Natural language querying: ask the model why it made a certain decision. • These auxiliary predictions don’t drive the car but help engineers debug and ensure safety. Tesla’s Advanced Gaussian Splatting (3D Scene Modeling): • Tesla developed a custom, ultra-fast Gaussian splatting system to reconstruct 3D scenes from limited camera views. • Produces crisp, accurate 3D renderings even from few camera angles — far better than standard NeRF/splatting approaches. • Enables rapid visual debugging of the driving environment in 3D. Evaluation & World Models: • Evaluation is the hardest challenge: models may perform well offline but fail in real-world conditions. • Tesla builds balanced, diverse evaluation datasets focusing on edge cases — not just easy highway driving. Introduced a learned world simulator (neural network-generated video engine): • Can simulate 8 Tesla camera feeds simultaneously — fully synthetic. • Used for testing, training, and reinforcement learning. • Allows adversarial event injection (e.g., adding a pedestrian or vehicle cutting in). • Enables replaying past failures to verify new model improvements. • Can run in near real-time, letting testers “drive” inside a simulated world. What’s Next: • Scale robotaxi service globally. • Unlock full autonomy across the entire Tesla fleet. • Cybercab: next-gen 2-seat vehicle designed specifically for robotaxi use, targeting lowest transportation cost (cheaper than public transit). • Same neural networks will power Optimus humanoid robot. • The same video generation system is now being applied to Optimus. • The system can simulate and plan movement for robots, adapting easily to new forms. via the International Conference on Computer Vision (ICCV). Full presentation:

Sawyer Merritt

1,288,166 просмотров • 10 месяцев назад

An interesting issue with Robotaxi where it took us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?

An interesting issue with Robotaxi where it took us to a Starbucks, but the Google data had the incorrect location. At drop off we were 0.2 miles from the Starbucks, so we had a short walk. Is there a way the Tesla AI team could add functionality in the app so riders can update map info to correct errors or inaccuracies on the underlying map data and then this propagates to the fleet? Being able to do this with a pin drop on the map instead of having to use an address might make this very easy and user friendly! Or, as a bigger ask, would it be possible for the car to be able to use visual images on its own to look for a Starbucks sign and on the fly, get us closer and update the map data on its own?

Joe Tegtmeyer 🚀 🤠🛸😎

80,363 просмотров • 1 год назад

🚨 Tesla Robotaxi Is Going After a Much Bigger Market! Larry Goldberg thinks people are focusing too much on Tesla vs. Uber! His point is that Uber and taxis are just a small piece of the opportunity. The much bigger target is human-driven transportation itself. Uber helped crush the traditional taxi business. Larry thinks Robotaxi could eventually do the same to Uber by removing the biggest cost from the equation: the driver. But it goes even further than ride-hailing. If Robotaxis become cheap, reliable, and easy to get, some people may start questioning whether they need to own a car at all. Tesla isn’t just coming for your Uber ride. It’s coming for the miles you drive yourself. $TSLA $UBER

🚨 Tesla Robotaxi Is Going After a Much Bigger Market! Larry Goldberg thinks people are focusing too much on Tesla vs. Uber! His point is that Uber and taxis are just a small piece of the opportunity. The much bigger target is human-driven transportation itself. Uber helped crush the traditional taxi business. Larry thinks Robotaxi could eventually do the same to Uber by removing the biggest cost from the equation: the driver. But it goes even further than ride-hailing. If Robotaxis become cheap, reliable, and easy to get, some people may start questioning whether they need to own a car at all. Tesla isn’t just coming for your Uber ride. It’s coming for the miles you drive yourself. $TSLA $UBER

Herbert Ong

41,656 просмотров • 3 дней назад

It's wild that people post videos of themselves blatantly breaking the law like this. Look, obviously, the idea of being able to do something else, like work, while driving is extremely appealing, but you just can't do it like that. Tesla FSD v14 is extremely impressive, but the best data we have right now points to a critical intervention every ~2,000 miles on average. Human drivers crash about every ~400,000 miles on average. You will hurt yourself, or God forbid, someone else, if you keep doing this, as you won't be able to intervene properly. I know some don't believe because they blindly believe Tesla's claim that "FSD is 10x safer than human drivers", but that's the most misleading claim ever. First off, the data is cherry-picked. I do believe that driving on FSD is safer than driving without, but closer to a factor 3x based on the best, not-Tesla-massaged, data. But more importantly, that's 3x safer than FSD plus human. Not just FSD. It is safer because it is supervised by a human paying attention and correcting the system when needed. If you use it like this guy, you are not safer. Period.

It's wild that people post videos of themselves blatantly breaking the law like this. Look, obviously, the idea of being able to do something else, like work, while driving is extremely appealing, but you just can't do it like that. Tesla FSD v14 is extremely impressive, but the best data we have right now points to a critical intervention every ~2,000 miles on average. Human drivers crash about every ~400,000 miles on average. You will hurt yourself, or God forbid, someone else, if you keep doing this, as you won't be able to intervene properly. I know some don't believe because they blindly believe Tesla's claim that "FSD is 10x safer than human drivers", but that's the most misleading claim ever. First off, the data is cherry-picked. I do believe that driving on FSD is safer than driving without, but closer to a factor 3x based on the best, not-Tesla-massaged, data. But more importantly, that's 3x safer than FSD plus human. Not just FSD. It is safer because it is supervised by a human paying attention and correcting the system when needed. If you use it like this guy, you are not safer. Period.

Fred Lambert

12,092 просмотров • 3 месяцев назад

1 Year Anniversary of Tesla Tesla Robotaxi Launch ... Reliving that 1st day! One year ago a small group or people including me received an invitation from Tesla_AI to be among the first to participate in the launch of the Tesla Robotaxi service. The launch took place in Austin Texas on 22 June 2025 and was punctuated by a lot of excitement, some uncertainty or what to expect, waiting for the app to download and then hailing the first ride as the small group of participants faced out in the initial service area and waited for their Robotaxi to arrive! For this initial launch, Tesla used Model Y's with the "Robotaxi" logos on the doors and rear hatch and had supervisors in the passenger seat but the cars all drove autonomously and did exceptionally well. We had all kinds of media trailing behind trying to get images, interviews or any information about our experiences, and this made for a surreal day, almost like paparazzi chasing after high-profile celebrities. Over the next year, the Robotaxi service would slowly scale to new cities, initially Austin and the San Fransisco areas, and then later to Houston and Dallas while preparations for several more cities were underway. The fleet did scale up but slowly, going through several revisions and updates of the autonomous software, becoming fully unsupervised and the fleet management aspects of the Robotaxi service were further developed. Regulatory permits and filings also took place to position the Robotaxi service for what we all hope will be large-scale expansion including the addition of the new Cybercabs, which are now in limited production and are testing multiple locations around the US. What will year 2 be like for Robotaxi? All indications are a very big year, but ultimately, Tesla needs to demonstrate they can execute on their plans, preparations and Cybercab production. I'm very hopeful they will be able to do so starting very soon! JC Christopher Doug 📐 JUSTIN ROTH Tesla Welt - german Podcast about Tesla Kalena Brown Chuck Cook Herbert Ong Tesla Owners Silicon Valley Ashok Elluswamy

Joe Tegtmeyer 🚀 🤠🛸😎

14,649 просмотров • 2 месяцев назад

Here's some footage from my Tesla's dashcam. Just kidding. Did you believe me? The truth is, this video is completely fake. It was generated by Tesla's world simulator, a generative AI model that not only allows Tesla to generate realistic synthetic training data, but also validate new versions of their self-driving model.

Here's some footage from my Tesla's dashcam. Just kidding. Did you believe me? The truth is, this video is completely fake. It was generated by Tesla's world simulator, a generative AI model that not only allows Tesla to generate realistic synthetic training data, but also validate new versions of their self-driving model.

Whole Mars Catalog

226,004 просмотров • 10 месяцев назад