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Tesla Sentry Mode captures man seemingly trying to cause a Model 3 accident

(Credit: Kees Ihlhaug?/Facebook, YouTube)

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7 years ago

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Recent footage from a Tesla owner in Flesland, Norway has revealed a rather shocking video of a man seemingly trying to cause a Model 3 accident. The video, which was recorded through the electric sedan’s Sentry Mode feature, showed the man deliberately removing the nuts on the Model 3’s rear wheels, which could have resulted in the vehicle’s wheels falling off during driving.

In a post on Norway-based Tesla-themed Facebook group Teslanytt, Kees Ihlhaug‎, the vehicle’s owner, noted that the incident happened earlier this week at a parking lot in Lilandsveien, near Bergen Airport at Flesland. After driving his Tesla for about 10 meters, Ihlhaug‎ noticed that his car was behaving strangely. Upon checking his Model 3’s wheels, he found that all but one nut on each of his vehicle’s rear wheels have been taken off. The last nut on each wheel was loosened considerably as well, and it would have easily fallen off had the Tesla owner driven his Model 3 a bit further.

Ihlhaug‎ promptly called a local tire company that fortunately was able to help him out. With new nuts on his vehicle’s wheels, the Model 3 owner was able to drive away safely. When he checked the footage from his electric sedan’s Sentry Mode feature, he was rather shocked to see a man, face hidden with a mask, deliberately removing his Model 3’s rear wheel nuts. Based on the video, it appears that after Sentry Mode was activated midway through the incident, the perpetrator fled the scene.

Footage of the incident was turned over to the police. Unfortunately, the man’s face was covered, making it challenging to identify the perpetrator. There were no security cameras in the parking lot where Ihlhaug‎ left his Model 3 as well. Speaking to local news agency NRK, Section leader Kristine Pettersen at Bergen South Police District noted that the incident could have resulted in something very dangerous. “It is serious when someone bumps with the wheels of a car. It is, of course, not safe to drive when four out of five nuts are off. The damage potential is great if the driver had not been vigilant,” she said.

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While the man’s motivations behind his actions remain unclear, and while Ihlhaug‎ himself noted that the person might have simply wanted to steal his wheels (his Model 3 is equipped with aftermarket rims), the fact that the man seemingly opted to leave one nut on each rear wheel suggests that the perpetrator’s motivations might have been more sinister. The man did not use any tools to lift and support the vehicle, for one, which would have made removing the Model 3’s wheels very difficult. Thus, as unfortunate as it may seem, it appears that the perpetrator might have been deliberately attempting to cause the Model 3 to crash.

An extensive look into the treatment of Tesla owners in Norway by NRK late last year has revealed that some of the electric vehicles are seeing some harsh treatment on the road. According to Tom Alfred, a longtime driver and Model X owner, Teslas and other electric cars are starting to attract aggressive drivers. Citing an EV-centric Facebook group that he interacts with, Alfred told the publication that critics had dubbed Tesla and EV owners as “lowest ranking social parasites,” and “spammers who are sponsored by us who drive diesel cars,” among others.

Alfred has noted that these sentiments are spilling over to how he is being treated on the road. “It has become more difficult to merge. I often lie behind other cars. And I have experienced traffic-dangerous situations I have never experienced before. It may be just something I feel about, since I know what kind of prejudice people have. Or it’s because I have a Tesla,” he said. The Model X owner noted that due to these experiences, he has begun avoiding talking about his car in social gatherings. “I still hold a lower profile now than before. I’m trying to avoid talking about having a Tesla,” he said.

Watch Sentry Mode capture footage of a man deliberately removing the wheel nuts on a Model 3 in the video below.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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25 minutes ago

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June 4, 2026

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla piggybacks recent Supercharger feature with update that takes it further

Published

12 hours ago

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June 3, 2026

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

Published

13 hours ago

on

June 3, 2026

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

 

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