This weekend, a tragic crash involving a 2019 Tesla Model S ended up claiming the lives of two individuals, a 59-year-old and a 69-year-old, both of whom are yet to be identified. Considering the nature of the case and partly due to the involvement of a Tesla, the incident has been covered by both local and national media outlets. This became quite notable in social media platforms, where the crash has been linked to Autopilot.
Two killed in huge blaze after driverless Tesla on autopilot crashes into tree https://t.co/JcwWM9hZAf pic.twitter.com/kvwUdg5ety
— New York Post (@nypost) April 18, 2021
This guide presents what is currently known about the tragic incident, as well as some commentary and videos from EV owners who have attempted to replicate (at least to a degree) the alleged events that led up to the tragic Model S crash.
What happened?
On Saturday night, a 2019 Model S crashed into a tree at about 11:25 p.m. in the Carlton Woods Subdivision on Hammock Dunes Place in Houston, Texas. According to authorities, the Model S crashed into a tree after failing to navigate a turn at high speed near 18 Hammock Dunes Place. The collision resulted in a fire that took the local fire department about four hours and over 30,000 gallons of water to extinguish. Investigators have found two victims from the incident, one sitting on the passenger seat and another in the back seat.
What did witnesses say?
KPRC 2 reporter Deven Clarke was able to speak to one of the victims’ brother-in-law, who stated that the Tesla owner and a friend simply wanted to take the car out for a spin. The brother-in-law remarked that there were just two people in the vehicle. He also added that the Tesla owner backed out of the driveway and then may have hopped in the back seat before crashing a few hundred yards down the road. The owner was reportedly the person found in the back seat of the car.
What has the police said?
In a statement to KHOU-11, Harris County Pct. 4 Constable Mark Herman remarked that deputies who recovered the Tesla are certain that the vehicle had no driver when it collided with the tree. He also emphasized that some of the authorities who responded to the incident were reconstructionists, and that they were very confident that there was no one driving the vehicle when it crashed.
“They are 100% certain that no one was in the driver seat driving that vehicle at the time of impact. They are positive. And again, the height from the back seat to the front seat, that would be almost impossible, but again our investigators are trained. They handle collisions. Several of our folks are reconstructionists, but they feel very confident just with the positioning of the bodies after the impact that there was no one driving that vehicle,” Herman said.
Was Autopilot involved?
Despite the inflammatory social media posts from some media outlets, it has not been determined yet if Autopilot had been active in the Model S when it collided with the tree. It should be noted that the roads in the Carlton Woods Subdivision on Hammock Dunes Place do not seem to have visible lane lines, which is a requirement for Autopilot’s activation. Regular cruise control could be activated in such areas as per videos from Tesla owners, but Autopilot and Full Self-Driving features are generally inaccessible in a residential area, at least in their current state.
This should dismiss the idea that AP was somehow the cause of this horrific incident. I pray for the family and friends of the deceased. Let’s trust the real investigators will discover what really happened here. pic.twitter.com/0tp8Vbh6fH
— Mikey Likes (@mliebow) April 18, 2021
Is the NTSB investigating the incident?
In a statement to Bloomberg, National Transportation Safety Board spokesperson Chris O’Neil confirmed that the NTSB does not plan to open a new probe about the tragic incident.
What happens when Autopilot is engaged and a driver unbuckles the seatbelt?
One scenario that has been suggested is that the driver might have activated Autopilot and jumped into the back seat. This would have been a tricky maneuver as the driver would have had to unbuckle himself, which results in Teslas engaging their alerts and eventually coming to a stop. Such a scenario was demonstrated by FSD Beta user @brandonee916.
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Elon Musk
Tesla just trademarked MEGAPOD: here’s what it is
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
What is Digital Optimus? The new Tesla and xAI project explained
A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
Investor's Corner
SpaceX is launching a secret spacecraft that could change how things are made in space
SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.
SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.
What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly 10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.
The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.
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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.
The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.
SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.
If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.
News
Tesla Semi spotted with ground truth validation equipment as launch looms
The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.
The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:
Spotted the new semi adorned with ground truthing equipment. Haven’t seen anyone post this so figured I’d share.
The future is autonomous!!@SawyerMerritt @wholemars pic.twitter.com/qkPDHPUQZ6
— Danny (@dannywinner1) June 21, 2026
The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.
There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.
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The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.
There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.