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Tesla gave away a Model Y to a Referral Program winner

(Credit: Tesla Raj/YouTube)

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Tesla’s current Referral Program offers a variety of incentives for owners who wish to share the Tesla experience with their network of friends and acquaintances. Among these prizes is a free Model Y that’s granted quarterly to a lucky Tesla owner. But inasmuch as the program has been ongoing for some time now, accounts of Model Y raffle winners have been very rare. 

Back in March, reports emerged that the first Tesla Model Y Referral Program winner has been drawn, and the lucky owner was from Taiwan. During the brief discussions of the raffle online, it was revealed that the Taiwan-based Tesla owner only had two referrals, which makes the win even more remarkable. And as it turned out, it appears that the next free Model Y winner will follow the same trend. 

Tesla Model 3 owner-enthusiast Tesla Raj recently featured one of the recent winners of the electric car maker’s free Model Y raffle on his YouTube channel. The owners, Teresa and Mark, provided some interesting insights about what exactly happens when one wins a free Tesla Model Y. Needless to say, the experience was something truly noteworthy. 

According to Mark, he and his wife had bought a Tesla Model 3 after their 13-year-old Hyundai Veracruz needed to be replaced. Being retired himself and having worked on software and hardware, Mark knew that cars were becoming more and more connected. Thus, the decision to purchase a Model 3 was made, since it was a vehicle that would likely last the couple for some time. Interestingly enough, this was not to be the case. 

(Credit: Tesla Raj/YouTube)

Mark and Teresa were casual Tesla owners, though they did get one referral credited to their account. And as luck would have it, they eventually received an email from the electric car maker informing them that they had won a free Model Y. Mark admitted that he was initially skeptical of the email, especially considering the prevalence of online scams today. Teresa was just as skeptical, though both decided to respond to the email just the same. 

Needless to say, the email that the couple received was not a scam. It was real, and a free Model Y was indeed coming to the couple. Teresa and Mark exchanged calls and emails with Tesla, with a representative from the company asking the couple to sign some forms online. As indicated by the Tesla representative that reached out to the couple, the company would create a reservation number for the free Model Y on the back end so Teresa and Mark could avoid the $100 deposit. Interestingly enough, the couple was not asked to configure their free Model Y. 

As noted by Mark in a conversation with the Tesla Raj host, Tesla pretty much threw every option available in the free all-electric crossover, such as the Full Self-Driving suite and the Performance Package. The company even gave the couple a Midnight Silver Model Y, which was the same color as their Model 3. That being said, Tesla sent over a Model Y with black interior to the couple, which is different from the white interior Teresa and Mark ordered for their Model 3. The delivery process of the free Model Y was seamless and touchless, and after some inspections of the vehicle, the couple received their free Model Y. 

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Mark and Teresa’s experience shows that Tesla’s Referral Program is definitely ongoing, and free vehicles are indeed making their way to lucky owners. That being said, those who end up winning free Model Ys in the future should expect to pay about $401.00 in their Tesla account online to cover various fees, so the crossover is not completely free. As noted by Mark, though, such an amount is minuscule considering the cost of the free vehicle. The couple’s experience also highlighted the insane demand for the company’s vehicles, as the Model 3 that the free Model Y replaced found a buyer just a day after it was posted for sale.

Watch Tesla Raj’s feature on the free Model Y winners in the video below. 

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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