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Tesla Autopilot impresses in 79-minute ‘Torture Test’ through long winding roads

Credit: The Tech of Tech on YouTube

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A Tesla Model 3 owner recently tested Autopilot’s abilities on the long and winding roads of the Blue Ridge Parkway in North Carolina. The 45.9-mile trip lasted 79 minutes, giving the driver a fair amount of insight regarding Autopilot’s performance with update 2020.16.2.1.

In a later comment on Reddit, the host of Youtube’s The Tech of Tech channel stated that he decided to test Autopilot’s capabilities on rainy, foggy roads stretching across the historic Blue Ridge Parkway in North Carolina.

“I did adjust the maximum speed to accommodate visibility due to fog as Autopilot doesn’t know to just slow down- it will shut off if it can’t see far enough for the speed. However, by lowering the maximum speed to what I’d want to drive anyway, Autopilot remains engaged. Other than that, all steering, braking, acceleration, etc. is done by the car and not me,” the driver wrote.

One notable feature of the update focused on Autopilot’s capability to slow down for sharp curves, which results in safer navigation through abrupt turns. For example, on a right turn, the car will drive closer to the right edge of the pavement, which provides a safer environment if two vehicles are driving through the same curve in opposite directions.

Tech of Tech indicates that the addition of the “Slowing for Sharp Curves” feature was the only reason the car could navigate the tricky roads of the Blue Ridge Parkway, which it did in impressive fashion.

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Tesla rolled out a similar feature last year, but there were some issues with its performance that made some drivers feel uncomfortable. The company continually improved the capability, which was then released with 2020.16.2.1 to owners around May 16 this year, according to TeslaFi.com.

“This update introduced new slowing behavior. Autopilot slows much more for tight curves than before, and it does so much more smoothly than the aborted slowing behavior introduced when V10 first released,” the host said.

As could be seen in the video of the torture test, Autopilot managed to navigate through the various challenging sections of the Blue Ridge Parkway for 79 straight minutes before the car took a turn a bit too sharply, which required the driver to intervene. This instance was the only mistake that the car’s software made in almost 46 miles of driving, and that’s in questionable weather conditions and on a stretch of road that challenges even human drivers.

Tesla’s Autopilot software continues to improve through the millions of miles of driving data that owners contribute to the company’s Neural Network. Tesla CEO Elon Musk indicated during the company’s Q1 2020 Earnings Call that the Neural Net’s training was coming along nicely and that contributions were being assessed to improve the safety and performance of the company’s driver-assist features.

“We are collecting data from over 1 million intersections every month at this point. This number will grow exponentially as more people get the update, and as more people start driving again. Soon, we will be collecting data from over 1 billion intersections per month. All of those confirmations are training on neural net, essentially, the driver when driving and taking action is effectively labeling — the labeling reality as they drive, and making the neural net better and better,” Musk said.

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Watch The Tech of Tech‘s Tesla Model 3 navigate the Blue Ridge Parkway below.

 

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla CEO Elon Musk shades Waymo: ‘Never really had a chance’

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Credit: Tesla

Tesla CEO Elon Musk shaded Waymo in a post on X on Wednesday, stating the company “never really had a chance” and that it “will be obvious in hindsight.”

Tesla and Waymo are the two primary contributors to the self-driving efforts in the United States, with both operating driverless ride-hailing services in the country. Tesla does have a Safety Monitor present in its vehicles in Austin, Texas, and someone in the driver’s seat in its Bay Area operation.

Musk says the Austin operation will be completely void of any Safety Monitors by the end of the year.

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With the two companies being the main members of the driverless movement in the U.S., there is certainly a rivalry. The two have sparred back and forth with their geofences, or service areas, in both Austin and the Bay Area.

While that is a metric for comparison now, ultimately, it will not matter in the coming years, as the two companies will likely operate in a similar fashion.

Waymo has geared its business toward larger cities, and Tesla has said that its self-driving efforts will expand to every single one of its vehicles in any location globally. This is where the true difference between the two lies, along with the fact that Tesla uses its own vehicles, while Waymo has several models in its lineup from different manufacturers.

The two also have different ideas on how to solve self-driving, as Tesla uses a vision-only approach. Waymo relies on several things, including LiDAR, which Musk once called “a fool’s errand.”

This is where Tesla sets itself apart from the competition, and Musk highlighted the company’s position against Waymo.

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Jeff Dean, the Chief Scientist for Google DeepMind, said on X:

“I don’t think Tesla has anywhere near the volume of rider-only autonomous miles that Waymo has (96M for Waymo, as of today). The safety data is quite compelling for Waymo, as well.”

Musk replied:

“Waymo never really had a chance against Tesla. This will be obvious in hindsight.”

Tesla stands to have a much larger fleet of vehicles in the coming years if it chooses to activate Robotaxi services with all passenger vehicles. A simple Over-the-Air update will activate this capability, while Waymo would likely be confined to the vehicles it commissions as Robotaxis.

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Tesla supplier Samsung preps for AI5 production with latest move

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team.

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Credit: Tesla

Tesla supplier Samsung is preparing to manufacture the AI5 chip, which will launch the company’s self-driving efforts even further, with its latest move.

According to a new report from Sedaily, Samsung is accelerating its preparation for U.S. production of the AI5 chips by hiring veteran engineers for its Customer Engineering team, which will help resolve complex foundry challenges, stabilize production and yields, and ensure manufacturing goes smoothly for the new project.

The hiring push signals that Tesla’s AI5 project is moving forward quickly at Samsung, which was one of two suppliers to win a contract order from the world’s leading EV maker.

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TSMC is the other. TSMC is using its 3nm process, reportedly, while Samsung will do a 2nm as a litmus test for the process.

The different versions are due to the fact that “they translate designs to physical form differently,” CEO Elon Musk said recently. The goal is for the two to operate identically, obviously, which is a challenge.

Some might remember Apple’s A9 “Chipgate” saga, which found that the chips differed in performance because of different manufacturers.

The AI5 chip is Tesla’s next-generation hardware chip for its self-driving program, but it will also contribute to the Optimus program and other AI-driven features in both vehicles and other projects. Currently, Tesla utilizes AI4, formerly known as HW4 or Hardware 4, in its vehicles.

Tesla teases new AI5 chip that will revolutionize self-driving

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AI5 is specialized for use by Tesla as it will work in conjunction with the company’s Neural Networks, focusing on real-time inference to make safe and logical decisions during operation.

Musk said it was an “amazing design” and an “immense jump” from Tesla’s current AI4 chip. It will be roughly 40 times faster, and have 8 times the raw compute, with 9 times the memory capacity. It is also expected to be three times as efficient per watt as AI4.

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AI5 will make its way into “maybe a small number of units” next year, Musk confirmed. However, it will not make its way to high-volume production until 2027. AI5 is not the last step, either, as Musk has already confirmed AI6 would likely enter production in mid-2028.

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Tesla discloses interesting collaboration partner for Supercharging

This BOXABL collaboration would be a great way to add a rest stop to a rural Supercharging location, and could lead to more of these chargers across the U.S. 

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Credit: Grok

Tesla disclosed an interesting collaboration partner in an SEC filing, which looks like an indication of a potential project at Supercharger sites.

Tesla said on Tuesday in the filing that it was entering an agreement with BOXABL to design and build a Micromenity structure. Simply put, this is a modular building, usually a few hundred square feet in size, and it has been seen at Superchargers in Europe.

In Magnant, France, Tesla opened a small building at a Supercharger that is available to all EV owners. There are snacks and drinks inside, including ice cream, coffee, a gaming console, and restrooms. It gives people an opportunity to get up and out of their cars while charging.

This building was not built by BOXABL, but instead by bk World Lounges. It is likely the final Supercharging stop before people get to Paris, as it is located 250 kilometers, or 155 miles, from the City of Light.

 

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Une publication partagée par Gerold Wolfarth (@gerold_wolfarth)

Magnant has 56 stalls, so it is a large Supercharging stop compared to most. The building could be a sign of things to come, especially as Tesla has opened up larger Supercharger stations along major roadways.

It is for just a single building, as the Scope of Work within the filing states “a comprehensive package for one Micromenity building.”

Superchargers are commonly located at gas stations, shopping centers, and other major points of interest. However, there are some stops that are isolated from retail or entertainment.

This BOXABL collaboration would be a great way to add a rest stop to a rural Supercharging location, and could lead to more of these chargers across the U.S.

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Tesla has done a lot of really great things for Supercharging this year.

Along with widespread expansion, the company launched the “Charging Passport” this week, opened the largest Supercharger in the world in Lost Hills, California, with 168 chargers, opened the Tesla Diner, a drive-in movie restaurant in Los Angeles, and initiated access to the infrastructure to even more automakers.

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