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Tesla confessions: The Model Y is looking better and better the closer it is to production
Note: I don’t usually do personal op-eds, but I’m making an exception this time around. This story may be well worth the read, at least for those who have had the same experience.
I was at Porsche’s 2019 Annual Press Conference in Stuttgart when Tesla unveiled the Model Y. I was dead tired from the day’s activities, but considering that the all-important Model Y was being unveiled that day, I opted to just chuck an extra cup of coffee and pull an all-nighter instead. After all, the Model Y is arguably the EV that can very well make Tesla into a household name. It’s got the price, it’s competing in the crossover segment, and it’s coming at a time when Tesla wasn’t hanging by a thread anymore. And so, I waited, overdosed with caffeine, for the vehicle’s unveiling.
The event started off normal enough. I fired up my word processor and prepared to write. Elon Musk provided a compelling narrative about Tesla’s journey from the Roadster to the present, even bringing out the Model S, Model X, and Model 3 onstage. Then, at the end of the unveiling event, almost seemingly as an afterthought, Musk brought out the Model Y. Out then comes a vehicle that looks nearly identical to a Model 3. In the darkened stage the two were almost indistinguishable from each other. It’s slightly taller, and it was chrome deleted, but that’s about it. Then, following a very brief discussion of its specs and its estimated release date, the Model Y’s unveiling event was done.
Needless to say, I was a bit underwhelmed. I’ve been following the Model Y story for years, and amidst all this excitement for the vehicle, it turned out to be this chunkier Model 3. Other journalists on my bus who also attended the Porsche press conference the following morning felt the same. Jokes were thrown around. “It’s a fat Model 3.” “Why, Model Y?” Even I, the conference’s token reporter from the “obviously pro-Tesla website,” couldn’t really “defend” the Y’s design that much. It’s not like I could say a much. It’s really just a bigger Model 3.
That was months ago. Since then, there have been an increasing number of Model Y sightings across the United States. Bob Lutz has called the Y a “terminally ugly” vehicle, even adding that he doesn’t really know how anyone can buy the Model Y. Yet, amidst all these sightings, and as reports from Tesla indicated that the Model Y might be starting production earlier than expected, something happened. Little by little, the Model Y started to look good — really good. And it doesn’t seem to be just me either. Comments on YouTube videos, Twitter posts, and Reddit threads showed that the Tesla community was warming up to the Y’s very Model 3-esque design.
This became even more evident when the size of the Y became evident. As it turns out, the Model Y seems to be a good deal larger than the Model 3, with some Tesla community members who have personally seen the vehicle stating that the crossover is actually pretty close in size to the Model X, Tesla’s largest vehicle before the massive Cybertruck. The Model Y also looked very attractive with its Gemini Wheels, which appear to be installed in release candidates of its Performance variant. A recent sighting of a white Performance Model Y from StevenMConroy depicts this very well.
Elon Musk has stated that the Model Y has the potential to outsell the Model S, Model X, and Model 3 combined. That’s a statement that sounds hyper-ambitious in a classic Elon Musk kind of way, but it’s feasible. The crossover market is vast, and it’s growing by the year. Combined with its trademark Tesla performance and its reasonable price, the Model Y has a ton of potential. It may have been an acquired taste for the Tesla community or people like me, but for the everyday car buyer, the Model Y may simply be this futuristic crossover that’s cheap to run, blazingly quick, spacious, and surprisingly reasonable in price. That’s a pretty difficult combination to beat.
There were a lot of criticisms that were thrown at the Model Y when it was unveiled, and a lot of it was due to its design. The TSLAQ group on Twitter actually insisted that there was no Model Y at all, and that the vehicle that Tesla unveiled was just a raised Model 3. But then, as the Model Y closes in on its first production, and as more and more release candidates start getting spotted on the road, it is starting to appear that perhaps, just perhaps, Tesla knew what it was doing when it decided on the crossover’s design. The Model Y may not incite the same excitement as the next-gen Roadster or have the same shock value as the Cybertruck, but perhaps, it doesn’t really need to.
It just needs to be. And for all-electric crossovers that are designed to be disruptive, that’s potentially enough. It certainly is for me.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
