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Tesla shares glimpse of a streamlined Model 3 paint shop with udder-like robots
A day after dropping a bombshell announcement about its possible privatization, Tesla is back to its candid, humorous ways on social media, with the electric car company uploading a rather strange video featuring a paint applicator robot for the Model 3 — a machine that looks uncannily similar to a cow’s udder. Topping the post off was the perfect caption — a series of emojis including a cow and a robot.
https://www.instagram.com/p/BmOZ5C0BOgB/?taken-by=teslamotors
Tesla’s recent upload stands as a lighthearted contrast to the seriousness surrounding the company and its bid to go private. Elon Musk surprised the markets on Tuesday by announcing that he was considering taking Tesla private at $420 per share, and that funding has been secured. The market reacted strongly to the news, pushing the company’s stock up 11% before the day’s trading ended. Musk’s announcement also triggered a wave of new doubts from the company’s critics, some of whom alleged that the privatization bid went under Tesla’s board of directors, or that Musk might have broken the law by revealing his plan on Twitter.
Amidst all the tension presently surrounding the company, fun, harmless social media posts such as the Model 3’s udder-style paint applicator are a reminder of Tesla’s fun nature. Elon Musk is never one to hesitate when it comes to having some fun, even at his own expense, and this personality extends to his companies. Stuffing a sports car on a rocket and sending it to space, naming a boring company as literally The Boring Company — these are trademarks of Musk’s character, and it is something that Tesla has lost a bit over the past few months.
Tesla is the only one among Musk’s companies that is publicly traded. It is also the one that gets scrutinized the most. SpaceX launches might attract sensational headlines from mainstream media every so often, but they are nothing compared to the negative coverage that Tesla draws. This is something that Elon Musk has continuously battled over the past few months, and unfortunately for the CEO, there were numerous times when he lost control of the narrative. In a letter to employees explaining why he is considering taking Tesla private, Musk mentioned that a departure from the public markets would likely create a setup where “there are no perverse incentives for people to try to harm what (the company is) trying to achieve” — a statement seemingly directed at the company’s critics and short-sellers.
In a way, Tesla’s fun upload featuring its robot udder Model 3 paint applicator is not just the company showing its more playful side. It is also Tesla’s way of showing that its paint shop — one of the sources of bottlenecks in the Model 3 production in Q2 — is working well. The Model 3’s production has quite literally passed through manufacturing hell since the vehicle started rolling off the assembly line last year. Elon Musk even noted in a previous interview that the whole ordeal had left him with permanent mental “scar” tissue.
One of the sources of these bottlenecks is the company’s paint shop. Several reports published in Q2 alleged that Tesla’s paint shop was contributing to the “sluggish” pace of Model 3 production due to improper cleaning, maintenance, and insufficient training for new employees. Reports about the company’s paint shop also alleged that Tesla’s employees were worried about their health due to the fumes from the paint the company is using. Tesla denied these reports, stating that its paint shop is regularly monitored and maintained, and that it is continually improving the training of its staff.
In the Q2 2018 earnings call, Elon Musk specifically mentioned the paint shop as one of the areas where Tesla is looking to improve. While discussing the systems it would employ in its upcoming factories such as Gigafactory 3 in China; Musk stated that Tesla is in the process of the figuring out how to make the paint shop a lot simpler.
“I think we can be a lot more efficient with CapEx, and that would include at least a factory module and pack production, body shop, paint shop and general assembly. We’re also figuring out how to make the paint shop a lot simpler and general assembly a lot simpler,” Musk said.
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
