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Teslas using Autopilot are eight times less likely to be in an accident

Credit: Tesla

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Tesla vehicles utilizing the company’s Autopilot vehicles are eight times less likely to be involved in an accident compared to the total U.S. vehicle fleet, data from the automaker’s 2021 Impact Report states.

Tesla has long touted the safety of its vehicles, especially ones that operate with its Autopilot driver assistance features. Tesla Autopilot includes several features that are all designed to assist drivers “with the most burdensome parts of driving.” The features include:

  • Navigate On Autopilot: “Navigate on Autopilot suggests lane changes to optimize your route, and makes adjustments so you don’t get stuck behind slow cars or trucks. When active, Navigate on Autopilot will also automatically steer your vehicle toward highway interchanges and exits based on your destination.”
  • Autosteer: “Using advanced cameras, sensors, and computing power, your Tesla will navigate tighter, more complex roads.”
  • Smart Summon: “With Smart Summon, your car will navigate more complex environments and parking spaces, maneuvering around objects as necessary to come find you in a parking lot.”

In its 2021 Impact Report released on Friday, Tesla continued its streak of dominance in safety statistics over other Tesla vehicles not utilizing active safety features, and the Total U.S. Vehicle fleet, which is eight times more likely to be involved in an accident.

Tesla detailed in the report:

“In 2021, we recorded 0.22 crashes for every million miles driven in which drivers were using Autopilot technology (Autosteer and active safety features). For drivers who were not using Autopilot technology (no Autosteer and active safety features), we recorded 0.77 crashes for every million miles driven. By comparison, NHTSA’s most recent data shows that in the United States there are 1.81 automobile crashes for every million miles driven.”

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Credit: Tesla

What is particularly interesting about the data is that, based on media reports and misrepresentations of Tesla’s Autopilot and Full Self-Driving systems and their capabilities, it proves Tesla Autopilot’s safety features are incredibly effective. Because of Tesla’s dedication to solving autonomous driving, when its cars are involved in accidents, the coverage of the event is usually caricatured and represented in a poor manner. While Tesla Autopilot and Full Self-Driving are not perfect systems and have plenty of flaws, they are incredibly safe based on the data.

Tesla still maintains that drivers need to keep their hands on the wheel at all times, and they must remain vigilant while operating the vehicle in any capacity. Despite the efforts of some social media influencers or celebrities who falsely show off the capabilities of Tesla’s Full Self-Driving and Autopilot suites, the company has not claimed the cars are capable of driving themselves.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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

Tesla Giga Berlin growth could stall if not “free from external influences”: Elon Musk

The comments were delivered in a pre-recorded video discussion.

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Credit: Andre Thierig/X

Tesla CEO Elon Musk has reportedly warned that future expansion of Gigafactory Berlin could be jeopardized if the site does not remain “free from external influences.”

Musk’s comments were delivered in a pre-recorded video discussion with employees and came at a sensitive moment for the facility, where union representation has been a recurring issue.

According to reports from Handelsblatt and Der Spiegel, citing participants at the event, Musk suggested that if Giga Berlin is no longer “free from external influences,” further expansion would become unlikely. He did not, however, hint that the plant would shut down.

While Musk did not name IG Metall directly, his remarks were widely interpreted as referencing the union, which is currently the largest faction on the works council but does not hold a majority, as noted in an electrive report. 

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The video conversation was conducted between Musk in Austin and Grünheide plant manager André Thierig, then played back to the workforce in Germany. Works council elections are scheduled for early March, heightening the tension between management and organized labor.

The CEO has previously voiced concerns that stronger union influence could limit Tesla’s operational flexibility and long-term strategy in Germany.

Despite the warning on expansion, Musk praised the Giga Berlin site during the same address, describing it as one of the most advanced factories worldwide and highlighting its cleanliness and team culture.

The discussion also reportedly touched on battery cell production. According to attendees cited in German media, Musk indicated that Tesla has begun ramping cell production at the site. That would mark a notable shift from earlier expectations that large-scale cell manufacturing in Brandenburg would not begin until 2027.

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Tesla Full Self-Driving’s newest behavior is the perfect answer to aggressive cars

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

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Credit: Tesla

Tesla Full Self-Driving appears to have a new behavior that is the perfect answer to aggressive drivers.

According to a recent video, it now appears the suite will automatically pull over if there is a tailgater on your bumper, the most ideal solution for when a driver is riding your bumper.

With FSD’s constantly-changing Speed Profiles, it seems as if this solution could help eliminate the need to tinker with driving modes from the person in the driver’s seat. This tends to be one of my biggest complaints from FSD at times.

A video posted on X shows a Tesla on Full Self-Driving pulling over to the shoulder on windy, wet roads after another car seemed to be following it quite aggressively. The car looks to have automatically sensed that the vehicle behind it was in a bit of a hurry, so FSD determined that pulling over and letting it by was the best idea:

We can see from the clip that there was no human intervention to pull over to the side, as the driver’s hands are stationary and never interfere with the turn signal stalk.

This can be used to override some of the decisions FSD makes, and is a great way to get things back on track if the semi-autonomous functionality tries to do something that is either unneeded or not included in the routing on the in-car Nav.

FSD tends to move over for faster traffic on the interstate when there are multiple lanes. On two-lane highways, it will pass slower cars using the left lane. When faster traffic is behind a Tesla on FSD, the vehicle will move back over to the right lane, the correct behavior in a scenario like this.

Perhaps one of my biggest complaints at times with Full Self-Driving, especially from version to version, is how much tinkering Tesla does with Speed Profiles. One minute, they’re suitable for driving on local roads, the next, they’re either too fast or too slow.

When they are too slow, most of us just shift up into a faster setting, but at times, even that’s not enough, see below:

There are times when it feels like it would be suitable for the car to just pull over and let the vehicle that is traveling behind pass. This, at least up until this point, it appears, was something that required human intervention.

Now, it looks like Tesla is trying to get FSD to a point where it just knows that it should probably get out of the way.

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Tesla Megapack powers $1.1B AI data center project in Brazil

By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

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Credit: Tesla

Tesla’s Megapack battery systems will be deployed as part of a 400MW AI data center campus in Uberlândia, Brazil. The initiative is described as one of Latin America’s largest AI infrastructure projects.

The project is being led by RT-One, which confirmed that the facility will integrate Tesla Megapack battery energy storage systems (BESS) as part of a broader industrial alliance that includes Hitachi Energy, Siemens, ABB, HIMOINSA, and Schneider Electric. The project is backed by more than R$6 billion (approximately $1.1 billion) in private capital.

According to RT-One, the data center is designed to operate on 100% renewable energy while also reinforcing regional grid stability.

“Brazil generates abundant energy, particularly from renewable sources such as solar and wind. However, high renewable penetration can create grid stability challenges,” RT-One President Fernando Palamone noted in a post on LinkedIn. “Managing this imbalance is one of the country’s growing infrastructure priorities.”

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By integrating Tesla’s Megapack systems, the facility will function not only as a major power consumer but also as a grid-supporting asset.

“The facility will be capable of absorbing excess electricity when supply is high and providing stabilization services when the grid requires additional support. This approach enhances resilience, improves reliability, and contributes to a more efficient use of renewable generation,” Palamone added.

The model mirrors approaches used in energy-intensive regions such as California and Texas, where large battery systems help manage fluctuations tied to renewable energy generation.

The RT-One President recently visited Tesla’s Megafactory in Lathrop, California, where Megapacks are produced, as part of establishing the partnership. He thanked the Tesla team, including Marcel Dall Pai, Nicholas Reale, and Sean Jones, for supporting the collaboration in his LinkedIn post.

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