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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. 

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.

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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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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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