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Tesla Model 3 named as one of the winners in KBB’s 5-Year Cost to Own Awards for 2022

(Photo: Andres GE)

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The Tesla Model 3 was recently deemed by Kelley Blue Book as one of the winners in its 5-Year Cost to Own Awards for 2022. KBB’s 5-Year Cost to Own Award explores the costs associated with the ownership of a vehicle. This includes the vehicle’s price, maintenance costs, fuel or charging rates, any state tax, and registration fees, as well as a car’s depreciation over a 5-year ownership period, among others. 

As per the automotive research company, the 2022 Tesla Model 3 leads the “Electric Luxury Vehicle” segment with a 5-year cost to own of $48,233. According to Kelley Blue Book, the Model 3’s 5-year cost to own is $16,411 less than the segment average. This is quite impressive, especially considering that the Model 3 is Tesla’s entry-level vehicle today.

The fact that the Model 3 was dubbed by KBB as one of the winners in its 2022 5-Year Cost to Own Awards is quite unsurprising, especially if one were to consider that electric vehicles like Teslas do not need as much maintenance as their internal combustion engine-powered counterparts. And being part of Tesla’s ecosystem, the Model 3 enjoys a number of perks that some of its rivals in the “Electric Luxury Vehicle” segment do not enjoy as well, such as Supercharging rates, which are extremely convenient and affordable. 

The Tesla Model 3 has been receiving price increases over the past months, but it is still a pretty bang-for-the-buck electric car. This is something that KBB highlighted in its review of the 2022 Tesla Model 3, with the automotive research company stating that “part of the beauty of the Tesla Model 3 is that it’s an all-electric compact luxury sedan with a starting price similar to its gas-powered competitors” since the “starting price of the Model 3 is similar to the Audi A4, Lexus IS, BMW 3 Series, and most other conventional compact luxury sedans.”

What is quite interesting to note is that the Model 3’s cost might normalize soon, especially with the advent of innovations such as Tesla’s 4680 batteries. Tesla’s 4680 cells will be making their debut in the Made-in-Texas Model Y, but the company intends to roll out the innovation to more of its vehicles in the future. Considering that the 4680 cells are designed to lower vehicle production costs, it is almost certain that the Model 3 will be receiving the same innovation in the future. And when it does, it would likely appear once more as a winner in KBB’s 5-Year Cost to Own Awards. 

Tesla currently sells three variants of the Tesla Model 3. The base model, which is equipped with one electric motor at the rear, starts at $44,990 before incentives. A midrange variant called the Model 3 Long Range, which features a dual-motor all-wheel-drive system, starts at $51,990, and a top-tier variant called the Model 3 Performance is offered for $58,990. That’s well into luxury car territory, but the Model 3 Performance features capabilities that are equal to far more expensive vehicles, such as its 0-60 mph acceleration, which is listed by Tesla as 3.1 seconds. 

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The full winners of Kelley Blue Book’s 5-Year Cost to Own Awards can be found here

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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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Starlink passes 9 million active customers just weeks after hitting 8 million

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

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Credit: Starlink/X

SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark. 

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

9 million customers

In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day. 

“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote. 

That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.

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Starlink’s momentum

Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.

Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future. 

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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.

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Credit: Grok Imagine

NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”

Jim Fan’s hands-on FSD v14 impressions

Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14

“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X. 

Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”

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The Physical Turing Test

The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning. 

This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.

Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.

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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1

The update was released just a day after FSD v14.2.2 started rolling out to customers. 

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Credit: Grok

Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers. 

Tesla owner shares insights on FSD v14.2.2.1

Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.

Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.

“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.

Tesla’s FSD v14.2.2 update

Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.

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New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.

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