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Tesla Model 3 keying suspect confesses after Sentry Mode video goes viral

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A Tesla Model 3 owner who fell victim to a keying incident in the San Francisco Bay Area has located the perpetrator with the help of Sentry Mode and the local police.

Justice Frimpong, a Software Engineer for e-commerce giant Amazon noticed a large scratch on the driver’s side door of his Tesla Model 3 after running everyday errands. The scratch was evidence Frimpong had become the most recent victim of a keying incident on a Tesla vehicle, an all-too-common occurrence as of recently.

After Frimpong noticed the scratch on his Model 3, Sentry Mode captured his reaction to finding the blemish caused by the culprit. Luckily, Sentry Mode also captured the incident of the man scratching Frimpong’s Model 3, as well as multiple angles of the man’s face and his initial approach to the vehicle. Frimpong told Tesla CEO Elon Musk he loves Sentry Mode, and judging by past incidents of the same nature, he knew there was a big possibility the man who keyed his vehicle will be brought to justice.

Frimpong uploaded a thread of tweets containing several pieces of Sentry Mode footage, including clear angles of the perpetrator’s face and the moment his vehicle was keyed. The tweet thread gained quite a bit of traction, as the story reached local news outlets. With the help of Sentry Mode and the local police department, the man who keyed Frimpong’s Model 3 was brought to justice.

Frimpong stated his Sentry Mode footage captured the license plate of the man who keyed his vehicle. He turned the plate number into police, who were able to use the information to locate the suspect. Frimpong stated the perpetrator denied being in the same location as his Tesla Model 3, but when police told him they were in possession of Sentry Mode footage of the keying, the perpetrator quickly confessed to the crime. The man will be responsible for paying for damages, but it is not known what the motive for the vandalism was.

Incidents of Tesla vehicles being keyed are becoming far too common in recent months. With the help of Tesla’s Sentry Mode, all of the people who decided to key a vehicle made by the Silicon Valley-based electric car maker have been brought to justice. Earlier in October, a woman in Broomfield, Colorado turned herself in after keying a Model 3 at a high school soccer game. She was booked on the charge of Criminal Mischief, a felony in the area of Colorado where the keying took place.

While keying vehicles will more than likely never stop, Sentry Mode gives Tesla owners the ability to identify the person who damaged their vehicle. In recent incidents, the culprits have been identified and charged with numerous penalties for intentionally keying someone’s Tesla. Sentry Mode has captured many other incidents not related to keying or intentional damage as well. In this instance, however, it is expected the vehicle’s automatically recording cameras will help identify the man who committed this horrible act.

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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

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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