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Tesla Model Y mishap shows urgent need for aggressively better quality control
Tesla currently stands at the top of the auto market, and for good reason. Its vehicles provide an experience unlike any other, their performance is incredible for their price, and their tech is top-notch. Yet as the company pursues its target of delivering 500,000 cars this year, something is becoming evident: Tesla needs to aggressively emphasize its quality control, especially with regards to the Model Y.
Just recently, EV enthusiast u/Indescribables shared a verified anecdote at the r/TeslaMotors subreddit, stating that their new all-electric crossover lost its glass roof while they were driving in California’s 238 highway. According to the Tesla owner, he and his dad started noticing some wind noise inside the cabin while they were driving. They initially thought that a window had been open, but before they could check, the Model Y’s entire glass roof reportedly got blown off.
After overcoming the initial shock of the incident, the pair drove back to the Tesla delivery center. Upon inspection, the manager at the Tesla location reportedly noted that the incident was caused by either a faulty seal on the glass roof, or someone from the factory forgot to seal the roof on. The new Tesla owners were then given a loaner as well as the option to repair or replace the Model Y. The pair declined a repair, instead opting to have the vehicle replaced.
So Tesla’s quality control is really bad. Our brand new model y’s entire roof just fell off from r/teslamotors
Granted, such an account is strictly anecdotal, but it does highlight a notable point of improvement for Tesla. As the company grows, after all, the electric car maker must make it a point to ensure that its quality control matches its pace of innovation. This ensures that every new Tesla owner gets to experience the same type of experience that has inspired such a strong and dedicated following for the company and its CEO, Elon Musk. This becomes challenging if some vehicles end up leaving the factory without being properly checked for potential build issues.
This is especially notable with this recent Model Y mishap, since Elon Musk himself has proven in the past that he is not content with Tesla making cars that have subpar build quality. During the middle of the Model 3’s “production hell” in 2018, reports were abounding that some vehicles being delivered to customers were not up to par in quality compared to the company’s previous cars like the Model S. Musk then sent a letter to Tesla employees calling for vast improvements in build quality. Musk’s intent was clear.
“We will keep going until the Model 3 build precision is a factor of ten better than any other car in the world. I am not kidding… Our car needs to be designed and built with such accuracy and precision that, if an owner measures dimensions, panel gaps, and flushness, and their measurements don’t match the Model 3 specs, it just means that their measuring tape is wrong,” Musk wrote.
Tesla Convertible???
The improvements in the Model 3’s build quality did not happen overnight, but once the company was able to get better, even legacy auto veterans could not deny that the all-electric sedan was being built with world-class standards. Longtime GM executive Bob Lutz, who is typically critical of Tesla, pretty much threw in the towel when he encountered a Model 3 in the wild. The following excerpt from a post Lutz shared on Road and Track explains his observations best.
“When I spied a metallic-red Model 3 in an Ann Arbor parking lot, I felt compelled to check it out. I was eager to see the oft-reported sloppy assembly work, the poor-fitting doors, blotchy paint, and other manifestations of Tesla CEO Elon Musk’s ‘production hell’ with my own eyes.”
“But, when next to the car, I was stunned. Not only was the paint without any discernible flaw, but the various panels formed a body of precision that was beyond reproach. Gaps from hood to fenders, doors to frame, and all the others appeared to be perfectly even, equal side-to-side, and completely parallel. Gaps of 3.5 to 4.5mm are considered word-class. This Model 3 measured up,” Lutz wrote.
What is rather interesting is that Tesla, especially the Model 3, enjoys widespread support from its consumer base. A thorough study from Bloomberg which polled 5,000 Model 3 owners found that buyers of the all-electric sedan were extremely happy about their cars despite the occasional cosmetic issue. Almost 99% of Model 3 owners remarked that they would recommend the car to friends and family. These are remarkable results, and it speaks volumes about the disruption that Tesla is really bringing to the auto market.
But the company could do better. Adopting a more aggressive quality control system is one way to do this.
Tesla has grown at a pace that is almost unprecedented, transitioning from a maker of premium cars like the Model S and Model X to a mass-market automaker that produces the Model 3 and Model Y in but a few years. With this transition came challenges, as evidenced in the well-documented “production hell” that Tesla experienced during the initial Model 3 ramp. The company has since overcome its quality issues with the Model 3, but it appears that the same pattern is somewhat happening with the Model Y’s ramp. This has to improve.
Considering the company’s goals, from its 1-million-vehicle-per-year target and more importantly, its mission, Tesla must simply not tolerate errors such as releasing a vehicle without proper glass roof sealant to delivery centers. These errors must be beneath Tesla’s Fremont plant at this point, especially since cars from the company’s China factory, Giga Shanghai, have been heavily praised for their build quality, as per data from Chinese quality complaint company CheZhiWang.
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
