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Legacy auto needs a ‘Tesla Approach’ on EVs because it’s quality, not quantity, that buyers want
Amidst the automotive segment’s ongoing shift to electric cars, it is almost common to see a carmaker announcing dozens of EVs coming in the coming years. Yet while such announcements are great for headlines, it appears that the time is nigh for legacy auto to shift to a “Tesla Approach” when it comes to their EV strategy. Carmakers can do this by focusing not on quantity, but on the quality of their electric cars.
Quantity Doesn’t Necessarily Mean Quality
Just recently, South Korean automaker Hyundai announced that it will have 23 global electric vehicles by 2025. This announcement is impressive, and it echoes the same theme as American automaker General Motors’ plan, which calls for 30 EVs by 2025. Even premium carmakers like BMW and Daimler seem to be taking the same approach, with the former pledging nine EVs by 2025 and the latter working on six electric vehicles today.
Yet inasmuch as these announcements warrant a lot of praise, it is pertinent to note that not all of the EVs coming out of legacy auto will necessarily be on the level of Tesla’s electric cars. Take GM’s best-selling electric car today, for example, the Wuling Hongguang Mini EV, which is sold in China. The vehicle outsold the domestically-produced Model 3 in China several times this year, but it’s important to highlight that the Mini EV is a bare-bones electric car that doesn’t even have airbags installed.
The Tesla Approach
Tesla’s approach to its electric cars is not unlike what tech giant Apple adopts. That is, the company releases only a few products, but each is extremely competitive in its respective segment. This could be seen in Tesla’s S3XY lineup, all of which could be described as premium electric vehicles in their own right. Critics could point out that the build quality and interior materials of Tesla’s electric cars are not yet in the level of veterans like Mercedes-Benz, but there’s no doubt that the Model S, Model 3, Model X, and Model Y are a cut above in terms of tech, performance, and features.
Apart from releasing just a few good electric cars, Tesla also focuses heavily on software and vertical integration. Tesla’s vehicles are not the only ones that can receive over-the-air updates today, but they are arguably the ones that receive them most frequently. The vertical integration that Tesla applies to its operations is pretty insane as well, with the company now looking to produce its own batteries and hardware.
One Good Electric Car
What seems to be lost among some legacy automakers today is the fact that the EV market is growing, and as it grows, it probably will not require dozens upon dozens of EVs being offered to customers. This is especially true if some of those electric cars are substandard or underwhelming at best. Instead, it may be a better idea for veteran carmakers to focus on creating only a few electric cars, with each one being good enough to stand against leaders like the Model S, or upstarts like the Lucid Air and the Rivian R1T. Even one good electric car will be better than dozens of uninspired EVs, after all.
Fortunately, this concept seems to be making its way to some carmakers now, albeit slowly. Porsche does not seem to be in a hurry to release a bunch of EVs, with the company focusing on the Taycan, the Taycan Cross Turismo, and the Macan EV. Ford seems to be focusing right now on the Mach-E and the F-150 Electric. These vehicles so far are being received pretty well by the electric vehicle community, with the Taycan and the Mach-E even receiving a personal welcome from Tesla CEO Elon Musk.
Elon Musk
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.
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.
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.
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.”
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.
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.
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.