News
Tesla coverage turns negative a week before crucial Earnings Call
Tesla news coverage this week has been especially negative, and the timing of it, which comes a week before arguably the most anticipated Earnings Call in recent memory. With Tesla reporting production and deliveries that were well over Wall Street’s consensus, anticipation for the Q1 2021 Earnings Call is slightly higher than usual, and the FUD (Fear, Uncertainty, Doubt) is at an all-time high.
There are always a few negative Tesla stories every week. It might involve a story about some owners who didn’t receive adequate customer service, it might be about a production bottleneck that Tesla is encountering. However, these are relatively micro-scale issues that are resolved within a matter of days in most cases. This week, the news has been geared toward more disruptive, long-term, macro-level issues, like a very public car accident that has both sides of the Tesla circle butting heads, a test from a very well-known product review company that has to do with the aforementioned accident, and other safety issues that have resulted by a rumored irresponsible driving speed by a customer in China. Whether you agree with it or not, there seems to be a more coordinated attack on something that Tesla does well, which is to keep its drivers and owners safe. One of the strongest points of Tesla’s overwhelmingly successful venture into the automotive industry thus far was the company’s ability to keep vehicle occupants safe in the event of a crash, and also roll out software and semi-autonomous driving functionalities that aim to improve consumer safety in revolutionary ways.
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This doesn’t always turn out to be what the media wants to report, however. The week before the Q1 Earnings Call, it was relatively impossible to notice that the tide turned negative on Tesla news coverage. While it is understandable that a violent automobile crash that took the lives of two men should be covered, it captured national headlines and dominated news coverage across the world for several days. Interestingly, I don’t remember such widespread news coverage for the Ford Death Wobble.
Journalists find stories and then build upon them for other sorts of coverage. It’s spin-off coverage where readers get to see how creative the mind of a writer is. There are millions of stories that could be written based on the recent automobile accident. However, a majority of them were negative, and it doesn’t necessarily come down to truth, it comes down to perception. Unfortunately, I don’t believe that many of the journalistic coverages were completely accurate simply because of Autopilot’s misunderstood capabilities in the real world. I still receive questions and comments daily from those who I talk to who believe Teslas are capable of driving themselves. What is even more frustrating is that, at times, owners and drivers, who should have the company’s best interest at heart, spread content, Tik Toks, and other forms of social media portraying that their all-electric car can drive them from Point A to Point B while they sit in the back seat and take a nap. This kind of content is irresponsible, immoral, and wrong. Acting like a Tesla can drive itself completely just for few thousand views is a selfish act that puts the hard work of Tesla engineers at risk for losing all of their work.
That brings me to the unfortunate accident in Texas. We don’t know, yet, what the exact cause of the accident was. We don’t know who was in the driver’s seat, if AP was being tricked, or if it was even on at this point. Most evidence would likely indicate that AP couldn’t have been activated due to the lack of road lines, and the rate of travel isn’t something that AP would let the driver do, to begin with. Eventually, we will have all the facts of this story, and we will be able to accurately say who or what was responsible. But as of right now, those things cannot be speculated against.
Still, news sources are claiming that this car was “driverless,” which is a complete nonsensical narrative considering there are many boundaries that would require a driver to be present during the vehicle’s operation. This didn’t stop Consumer Reports from putting together one of the most ridiculously biased tests I have ever come across. I felt that it simply proved Tesla Autopilot would only be tricked in extreme circumstances, by not following the automaker’s directions and trying to outsmart one of the most capable semi-autonomous driving programs in the world.
The obvious effort to derail Tesla’s momentum is being noted by the fans, followers, and owners of the company. For the life of me, I cannot understand why. In my perspective, for years, MSM has been driving home the point of global climate change, using it as a way to scare people into change. While I believe that fear isn’t always the best way to convince a large group of people to do something, I think climate change is a real issue and it will affect people for generations to come. With cars being such a large contributor to the problem, you’d think the media, the same interests that have been preaching the dangers of carbon emissions for years, would report car companies who are working to transition the automotive industry to electrification, would get a “fair shake.” This just hasn’t been the case.
Trust me, I am a critic of Tesla when it is warranted. I have experienced issues with their customer service department personally, and I have been highly critical of their handling of other issues with its vehicles. I have spoken many times about the LR RWD Model Y and how it was a disgrace for Tesla to keep these pre-orderers in limbo for years. However, there are statistics that prove FSD and AP’s ultimate task: to make driving safer. Most recently, the Q1 2021 Safety Report showed Autopilot was nearly 10 times safer than a human driver. You don’t see mainstream media covering this, but you’ll notice automotive blogs and news outlets taking full advantage of the statistics, which prove Tesla’s mission is becoming more real with every mile driven.
With the momentum Tesla posted with the Production and Deliveries report, I think many people were expecting a big financial quarter. The timing of the negative news is eye-opening, and it seems to be a coordinated effort to perhaps slow down Tesla’s momentum moving forward. Tesla is gunning for yet another consecutive quarter, bringing the total to seven straight if things go well on Monday. Whether Wall Street will recognize the impressive tone of this feat, we’ll see. However, media coverage has done all it can to bring Tesla’s chances of a great quarter down, but with developments, demand, and deliveries all in healthy figures, there doesn’t seem to be much of a chance of that happening.
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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.
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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.
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.
Tesla just trademarked MEGAPOD: here’s what it is
SpaceX is launching a secret spacecraft that could change how things are made in space
