A Tesla Megapack is powering a large housing factory completely off-grid in Patterson, California, with energy from a large array of on-site, PVGraf solar panels. The factory isn’t connected to the local power grid, and this is the first time a Tesla Megapack has been deployed and running completely off-grid. The system has been operating without any issues since November.
S2A Modular, a tech company that manufactures modular homes, tiny houses, and more that run on direct-current (DC) power, owns the Tesla Megapack, and its president and cofounder, John Rowland, granted Teslarati an exclusive interview. The company is also in the business of addressing housing for the homeless as well as making luxury homes and single-family homes.
John Rowland, S2A Modular’s president, and cofounder, granted Teslarati an exclusive interview. He shared with Teslarati that the company has 35 facilities, with five currently under construction and Tesla Megapacks on order. The first one in Patterson, California, is completely off the grid, and John has been working with Tesla to monitor its progress.
The delivery and installation of the Tesla Megapack, John explained, was “very smooth.” All of the infrastructure was in place, and it only took a couple of days to install the battery.
John told Teslarati that the reason why he went with Tesla is that he is a huge fan of both Tesla and Elon Musk. Initially, he had planned to buy the Tesla PowerPacks but by the time the factory came to fruition, Tesla Megapacks were available. As a homebuilder, he wanted to build homes that run on batteries. John said that engineered and built the second off-grid Tesla-powered home in North America.
“When I built that home, I decided I wanted to scale and build homes that were meant to run on batteries because this is how that house was engineered and built. It was the lowest voltage, lowest amperage home on the planet.”
John realized that in order to scale, he would need a factory and wanted to take the same approach that he has taken to engineering and building the homes and “engineer and build a factory that was made to run off-grid.
The hundred thousand-square-foot factory has no gas, or propane, only graphene solar panels, and a Tesla Megapack. “And no connection to the electrical grid.”
John pointed out that he has had a good relationship with Tesla since 2015, and once the Megapacks were available, he ordered one for each of the facilities.
“We’ve got the first one in Patterson, California, and it’s been up and running a little over a month now. And it’s running like a champ. The whole factory’s powered off-grid, and it’s a huge success, so we’re looking to carry it over to our next facilities.”
John and his team and Tesla are monitoring the battery three times a day since it is completely off-grid. At first, there was a little hesitation on Tesla’s part for installing a completely off-grid Megapack, but John was able to win them over, and things are going smoothly.
“This is the first time that a Megapack was programmed to run off-grid. They’re set to take a trickle charge from the grid 24/7, and it took some convincing to get Tesla to allow us to do it this way. At first, they said, ‘you’re a couple of years ahead of us,’ but they finally agreed to allow us to do it, and now they’re using it as beta. They’re monitoring it just like we are.”
“One of Tesla’s head engineers that we work with told us that when we powered it up, it would take four days for our solar to charge the battery fully. We did it in seven and a half hours.”
John explained that the solar panels his company uses are made with specially manufactured graphene solar panels. “They’re the only company in the world using graphene, and they have 20 worldwide patents on it. At S2A, we paid and file our own UL( Underwriter Labs) to have our own UL-rated panel produced.”
When asked about feedback, John explained that he talks to Tesla’s engineers regularly and provides updates on the battery’s performance.
“It’s quite to our surprise It’s a 1.4-megawatt battery, and we’re able to keep it about 90% even with all of our equipment running. It’s really working better than our expectations.”
One thing John wasn’t expecting was the surplus of energy. He actually plans to connect the Megapack to the grid next year so that he can discharge the excess power and help take some of the burdens away from the local grid.
“Our inverters are shutting off every day because we’re producing more power than we can use. Our factory is actually net-positive, and we will start contributing back to the grid next year.”
“We’ve got the battery set right now–when it reaches 97% capacity, the inverter shuts down and stops producing power. We’ve been monitoring it three times a day, and it’s been shutting off every day. Even with the factory running at full speed, we still produce excess energy.”
John added that he also purchased the Tesla Semi and plans to use them to deliver homes to customers.
Disclosure: Johnna is a $TSLA shareholder and believes in Tesla’s mission.
Your feedback is welcome. If you have any comments or concerns or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.
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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.
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.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
