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 intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
