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The Model Y is an understated Trojan Horse for Tesla’s manufacturing ambitions

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The launch of the Tesla Model Y is, in several ways, an understated and undramatic event. There were no surprise vehicles at the end of the crossover’s presentation, nor were there any announcements about the number of pre-orders the electric car maker received for the seven-seater. Tesla has been pretty quiet about the Model Y since, too, as updates on the crossover have mostly come through insider reports and patent applications from the company. 

It is through these patent applications that one could see the potential of the Model Y to revolutionize Tesla’s overall manufacturing operations. A look at two patents that are tailor-fit for the Model Y, for example, suggests that Tesla will be adopting a far more innovative production process for the vehicle compared to its past electric cars, including the mass-market Model 3 sedan, a vehicle that is essentially carrying Tesla into its current transition into a mainstream car manufacturer. With this in mind, the Model Y could even be described as a Trojan Horse of sorts, carrying the electric car maker’s innovations (mostly) under the radar.

A patent for Tesla’s rigid wiring system. (Credit: US Patent Office)

One of these innovations is a rigid wiring system that will allow Tesla to drastically reduce the wiring of the Model Y compared to its older stablemates. Using the company’s design outlined in its patent, Tesla is expected to use only around 100 meters of wiring for the Model Y, far less than the 1.5 km of cabling used in the Model 3. Such a design also aids the company’s automation initiatives, as the rigid wiring harness will be easier to install by the company’s robots. 

Another, even more notable innovation lies in a patent for a “Multi-Directional Unibody Casting Machine for a Vehicle Frame and Associated Methods” that seems to have been teased by company executives in the past. Elon Musk has mentioned that the company’s new casting machine will have the capability to cast pretty much the entire body of a vehicle in one piece, essentially eliminating the need for numerous welds across the body. “When we get the big casting machine, it’ll go from 70 parts to 1 with a significant reduction in capital expenditure on all the robots to put those parts together,” Musk said. 

A patent for Tesla’s giant casting machine. (Credit: US Patent Office)

These new innovations outlined in Tesla’s patent applications hint at the Model Y being the company’s first vehicle to adopt such designs in its wiring and casting. This is great news for the company’s upcoming vehicles like the Tesla Pickup Truck, the Semi, and the next-generation Roadster, all of which will likely benefit from these optimizations. More importantly, this is also great news for the Model 3. 

Tesla’s struggles with the Model 3 ramp in the United States have been well-documented, as the company had to abandon a widely-automated approach to producing the vehicle to one that was more balanced between humans and machines. With the Model Y, Tesla could essentially start anew and experiment with more ambitious and manufacturing models once more. Fortunately for the Model 3, the vehicle shares about 75% of its parts with the Model Y, which means that production improvements that work for the crossover would likely be applicable for the midsize sedan as well. 

The Tesla Model Y’s manufacturing revolution might begin sooner than expected, especially with the start of production at the company’s Gigafactory 3 site in Shanghai. Gigafactory 3 is designed to produce affordable versions of the Model 3 and Model Y for the Chinese market, suggesting that the facility will be optimized for speed and volume. It would then be interesting to see how Tesla produces the Model 3 (and later, the Model Y) on the site, as it could provide a glimpse at how much the company has improved based on lessons learned from the electric sedan’s ramp in the United States.

H/T Long Term Tips.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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Tesla Cybercab launch catches NHTSA’s attention who wants to know more

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(Credit: Teslarati)

Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.

The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.

NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.

Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)

However, the agency needs more information; it said in a summary:

“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”

It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:

“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”

Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.

Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.

In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.

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