News
Tesla owner shares FSD purchase concerns after vandals set Model X on fire
When Tesla owner Den Dal plugged his family’s 2018 Model X Long Range at a public charger during a recent business trip to Düsseldorf, Germany, he had no idea that it would be the start of a grueling ordeal. Twenty-four hours after plugging in his Tesla, Dal was left with a burned Model X, an FSD purchase that seemed to be up in the air, and a plausible arson incident that seemingly targeted the all-electric SUV.
Den Dal had rented an apartment for his business trip to Düsseldorf which was close to a row of public chargers that his Model X could be plugged in. Unfortunately, all of the public charger’s stalls were being blocked by fossil fuel cars on that day. This resulted in the Tesla owner plugging his Model X at another public charger, which was farther away, about 600 meters from the rented apartment.
The rates of the station were notably higher than Tesla’s charges for its Supercharger Network, but the location at least had a free stall for the all-electric SUV. Dal plugged in his vehicle and went back to his rented apartment, expecting to find his Model X charged and ready to go the next morning.
What he saw was not what he expected at all. To the Tesla owner’s shock, he found his Model X torched, and the burns on the vehicle suggested that it had been deliberately set on fire. A note from the police was placed on the windshield of the all-electric SUV, notifying the Tesla owner that he should head over to the station as soon as possible.
Unfortunately for the Tesla owner, his vehicle did not have a USB drive that was linked to its Sentry Mode feature. Thus, while Sentry Mode was active during the incident, no videos were retrieved from the Model X. The police also stated that there were no local cameras around the public charging station. No other Teslas were in the area either, which may have helped if they were running Sentry Mode as well.
Based on the specifics of the incident, it does appear that the Model X was singled out and deliberately burned. In the street where the vehicle was charging, there were more than 60 cars, some of which were premium vehicles and most of which were from German automakers, yet none were touched. Dal later found out that before his Model X was set on fire, another bike parked in the same area had been torched as well. Local firefighters who responded to the scene also saw where the flames started.
Quite amazingly, the Model X remained drivable despite being burned, which suggested that the vehicle’s batteries and powertrain were still intact after the incident. Describing the vehicle’s status in a message to Teslarati, Dal noted that the interior smelled particularly bad since chemicals of the cooling system seemed to have entered the cabin, as per observations from a Tesla Service Center. Tesla has not provided an update to the Model X owner yet, though there is a pretty good chance that the vehicle may be a total loss.
Dal is a supporter of Tesla and the company’s mission of transitioning the world to sustainable energy, and he purchased Enhanced Autopilot and the Full Self-Driving suite for his Model X despite knowing that the systems’ full features will be rolled out at a later time. That being said, Dal has notable concerns about his FSD purchase after his Model X was set aflame.
The Tesla owner had purchased FSD at a time when Tesla had a discount for the suite, and as such, the system was not insured with the vehicle. From this standpoint, it appears that while the Model X may be insured, its Full Self-Driving system was not. Dal is thus concerned that his FSD purchase will not be carried over if he does purchase another Tesla, which is unfortunate considering that he has not really been able to use much of what Autopilot and Full Self-Driving have to offer yet.
Dal resides in Europe, a region where regulations have forced Tesla to essentially cripple some key features of its Autopilot and Full Self-Driving suite. This results in key FSD capabilities such as Navigate on Autopilot with automatic lane changes and Smart Summon being practically impossible to roll out unless revisions are implemented in the region’s regulations. Tesla is doing what it can to address these regulations, but in the meantime, owners such as Dal, who have purchased FSD with their vehicle, are in a limbo of sorts.
Adding insult to injury, the Tesla owner has unfortunately been subjected to some online attacks from the electric car maker’s critics since posting about his experience online. Some have accused Dal of simply trying to attract attention, while others were insisting that the Model X’s batteries combusted on their own. The former point simply lacks basic empathy, while the latter seems farfetched considering that the Model X remained drivable even after it was torched.
For now, Dal is simply hoping that Tesla could provide a resolution for his vehicle and his FSD purchase. The Tesla owner noted that he would like to acquire another Model X if his SUV is totaled, though he looks forward to hearing about an update from the electric car maker soon.
News
Tesla urges New Jersey owners to oppose new bill that could block Robotaxi
Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.
The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.
Tesla is sending out this email to New Jersey Tesla owners, warning them that NJ could block autonomous vehicles, and to take action.
“Proposed legislation moving through Trenton right now would impose restrictions so severe that true driverless deployment would remain illegal.… pic.twitter.com/2bmY646AUL
— Sawyer Merritt (@SawyerMerritt) June 16, 2026
According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.
Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.
The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.
In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.
Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.
In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.
Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.
Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.
This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.
As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.
News
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
Cybertruck
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.