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.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
