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Tesla’s FSD Beta is navigating through roundabouts with great confidence

Credit: YouTube | Tesla Driver

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Ever since Tesla rolled out its Full Self-Driving Beta last week, the lucky group of individuals who have been sharing the new system’s capabilities are proving that Autopilot has improved significantly. Previously challenging tasks for the 2.5-dimension Autopilot versions are no longer a tough task thanks to a 4D comprehension of surroundings, which are a preview of what is to come with Tesla’s upcoming “Dojo” Supercomputer.

Tesla owners who have had FSD for some time know that the capabilities of the self-driving suite were somewhat limited. Everyone who purchased FSD knew it was a work in progress, and by driving with the capability activated, it was becoming more sophisticated with the help of Tesla’s Neural Network. However, the Tesla Artificial Intelligence team knew what had to be done: the amount of information that could be processed needed to be greater, and the vehicle’s comprehension of its surroundings needed to be more complex. Therefore, Tesla is developing Dojo.

Dojo is Tesla’s Neural Network training program that aims to begin breaking down data in 4D instead of “~2.5D,” which is what the automaker’s Autopilot was previously using.

Tesla’s Elon Musk details Dojo, Autopilot’s 4D training program

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Musk detailed the need for a more complex autonomy system during the Q2 2020 Earnings Call:

Well, the actual major milestone that’s happening right now is really a transition of the autonomy system or the cars, like AI, if you will, from thinking about things in — like two-and-a-half feet. It’s like think — things like isolated pictures and doing image recognition on pictures that are harshly correlated in time but not very well and transitioning to kind of a 4D, where it’s like — which is video essentially.”

The issue with previous FSD and Autopilot builds was that not enough information was being transmitted through pictures. There needed to be timestamps and more accuracy through an increasingly fluid comprehension of the surroundings. The key was to transition from images, or 2D, as Musk called it, to video, or 4D.

“So what we’ve been doing, thus far, has really just been like 2D — mostly 2D, and like I said, well correlated in time. So just hard to convey just how much better a fully 4D system would work — does work. It’s capable of things that if you just look — looking at things as individual pictures as opposed to video — basically, like you could go from like individual pictures to surround video, so it’s fundamental. So the car will seem to have just like a giant improvement.”

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Roundabout Navigation

One way to show how the new system is operating more efficiently is a Tesla’s navigation of a roundabout. Musk stated that it would be able to handle roundabouts “not perfectly at first,” but it would be able to navigate through them.

Previous versions of Autopilot have had difficulties navigating through roundabouts, and very rarely did they manage to get through one without human intervention. An example can be seen in a July 2019 video from YouTuber Dirty Tesla, who showed his Model 3 attempting to go through the tricky stretch of roadway. At the 3:25 mark of the video, you can see the Model 3 doesn’t do a great job of making it through, and the driver is forced to intervene with the vehicle.

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Tesla’s FSD Beta is proving that an increase in comprehension is just what Tesla Autopilot needed to function more accurately. A video from fellow Tesla Model 3 owner James Locke, who received the FSD Beta, shows the navigation through a roundabout with relative ease. Even Locke was impressed and stated that the maneuver required no intervention from him, and Autopilot took care of the entire process independently.

Dojo’s coming release in conjunction with the new FSD Beta could prove to be the answer to all of the issues that Tesla had previously. With a new, more complex system that takes in more information on terrain, surroundings, and obstacles, Autopilot is more accurate than ever before. The increase in capability is being displayed daily as new videos of the FSD Beta are being rolled out regularly.

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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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Elon Musk’s Neuralink sparks BCI race in China

One of the most prominent is NeuroXess, which launched in 2021 and is already testing implants in patients.

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Credit: Neuralink

Neuralink, founded by Elon Musk, is helping spark a surge of brain-computer interface (BCI) development in China, where startups are moving quickly into human trials with strong state backing. 

One of the most prominent is NeuroXess, which launched in 2021 and is already testing implants in patients.

Neuralink’s clinical work and public demonstrations have drawn worldwide attention to invasive brain implants that allow patients to control digital devices using their minds. The company is currently running a global clinical trial and is also busy preparing for its next product, Blindsight, which would restore vision to people with visual impairments.

Neuralink’s visibility has helped accelerate similar efforts in China. Beijing last year classified brain-computer interfaces as a strategic sector and issued a roadmap calling for two or three globally competitive companies by 2030, as per the Financial Times. Since February last year, at least 10 clinical trials for invasive brain chips have launched in the country.

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NeuroXess recently reported that a paralyzed patient was able to control a computer cursor within five days of implantation. Founder Tiger Tao credited government support for helping shorten the path from research to trials.

Investment activity has followed the policy push. Industry data show dozens of financing rounds for Chinese BCI startups over the past year, reflecting rising capital interest in the field. Ultimately, while Neuralink remains one of the most closely watched players globally, its momentum has clearly energized competitors abroad.

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Tesla Supercharger vandalized with frozen cables and anti-Musk imagery amid Sweden union dispute

The incident comes amid Tesla’s ongoing labor dispute with IF Metall.

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Credit: Tesla Charging/X

Tesla’s Supercharger site in Vansbro, Sweden, was vandalized during peak winter travel weeks. Images shared to local media showed frozen charging cables and a banner reading “Go home Elon,” which was complete with a graphic of Musk’s controversial gesture. 

The incident comes amid Tesla’s ongoing labor dispute with IF Metall, which has been striking against the company for more than two years over collective bargaining agreements, as noted in a report from Expressen.

Local resident Stefan Jakobsson said he arrived at the Vansbro charging station to find a board criticizing Elon Musk and accusing Tesla of strikebreaking. He also found the charging cables frozen after someone seemingly poured water over them.

“I laughed a little and it was pretty nicely drawn. But it was a bit unnecessary,” Jakobsson said. “They don’t have to do vandalism because they’re angry at Elon Musk.”

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The site has seen heavy traffic during Sweden’s winter sports holidays, with travelers heading toward Sälen and other mountain destinations. Jakobsson said long lines formed last weekend, with roughly 50 Teslas and other EVs waiting to charge.

Tesla Superchargers in Sweden are typically open to other electric vehicle brands, making them a reliable option for all EV owners. 

Tesla installed a generator at the location after sympathy strikes from other unions disrupted power supply to some stations. The generator itself was reportedly not working on the morning of the incident, though it is unclear whether that was connected to the protest.

The dispute between Tesla and IF Metall centers on the company’s refusal to sign a collective agreement covering Swedish workers. The strike has drawn support from other unions, including Seko, which has taken steps affecting electricity supply to certain Tesla facilities. Tesla Sweden, for its part, has insisted that its workers are already fairly compensated and it does not need a collective agreement,

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Jesper Pettersson, press spokesperson for IF Metall, criticized Tesla’s use of generators to keep charging stations running. Still, IF Metall emphasized that it strongly distances itself from the vandalism incident at the Vansbro Supercharger.

“We think it is remarkable that instead of taking the easy route and signing a collective agreement for our members, they are choosing to use every possible means to get around the strike,” Pettersson said.

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Tesla Cybertruck owner credits FSD for saving life after freeway medical emergency

The incident was shared by the Tesla owner on social media platform X, where it caught the attention of numerous users, including Tesla CEO Elon Musk.

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Credit: Tesla

A Tesla Cybertruck owner has credited Full Self-Driving (FSD) Supervised for saving his life after he experienced a medical emergency on the freeway.

The incident was shared by the Tesla owner on social media platform X, where it caught the attention of numerous users, including Tesla CEO Elon Musk.

In a post on X, Cybertruck owner Rishi Vohra wrote that he had unintentionally fasted for 17 hours, taken medication, and experienced what he described as a severe allergic reaction while driving.

“What started as a normal drive turned terrifying fast. My body shut down. I passed out while driving on the freeway, mid-conversation with my wife on the phone,” he wrote.

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Vohra stated that his Tesla was operating with FSD Supervised engaged at the time. According to his account, the Cybertruck detected that he had lost consciousness using its driver monitoring system, slowed down, activated hazard lights, and safely pulled over to the shoulder.

“Thank God my Tesla had Full Self-Driving engaged. It detected I lost consciousness (thanks to the driver monitoring system), immediately slowed, activated hazards, and safely pulled over to the shoulder. No crash. No danger to anyone else on the road,” Vohra wrote.

The Cybertruck owner added that his wife used Life360 to alert emergency services after hearing him go silent during their call. He said responders located him within five minutes. After being attended to, Vohra stated that the vehicle then drove him to the emergency room after he refused to leave his truck on the freeway.

“So the Tesla autonomously drove me the rest of the way to the ER. I walked in, got admitted, and they stabilized me overnight,” he wrote.

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He later posted that he was being discharged and thanked Tesla and Elon Musk. Musk replied to the post, writing, “Glad you’re ok!” The official Tesla X account also reposted Vohra’s story with a heart emoji. 

Tesla recently published updated safety data of vehicles operating with FSD (Supervised) engaged. As per Tesla’s latest North America figures, vehicles operating with FSD (Supervised) engaged recorded one major collision every 5,300,676 miles. The U.S. average is one major collision every 660,164 miles. 

Considering the experience of the Cybertruck owner, Tesla’s safety data does seem to hold a lot of water. A vehicle that is manually driven would have likely crashed or caused a pileup if its driver lost consciousness in the middle of the freeway, after all. 

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