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Tesla released the Cybertruck RWD to make the AWD look like a deal
Cybertruck LR RWD is effectively a $69,990 pickup that does not have 120V and 240V power outlets on its bed or 120V outlets in the cabin.
Tesla released the Cybertruck Long Range Rear Wheel Drive (LR RWD) recently, and it quickly received mixed reactions from the electric vehicle community. While the truck was praised for its long range, many argued that it was far too expensive due to the long list of features that it is missing compared to the Cybertruck All Wheel Drive (AWD), the mid-range variant of the all-electric pickup truck.
A look at the Cybertruck LR RWD’s pricing and features suggests that Tesla designed and priced the vehicle to push more buyers to opt for the Cybertruck AWD instead.
So Much Missing
The Cybertruck LR RWD costs $10,000 less than the Cybertruck AWD, but it is substantially less equipped compared to its mid-range counterpart. While the Cybertruck LR RWD’s slower 0-60 mph time, lower towing and payload capacity, textile seats, and fewer speakers are understandable, missing features such as the lack of air suspension, HEPA filter, and active noise cancellation make the vehicle truly a stripped down version of the all-electric pickup truck.
Considering that it is the most affordable Cybertruck available today, it would be fair to expect the vehicle to be geared for consumers who truly use their trucks for work. However, the Cybertruck LR RWD seems like a pretty expensive and under-equipped work truck, as it is effectively a $69,990 pickup that does not have 120V and 240V power outlets on its bed or 120V outlets in the cabin. It doesn’t even have otherwise basic Cybertruck features like the rear light bar, which is part of the pickup truck’s iconic, futuristic look.
Must Be Cheaper
The long list of missing features from the Cybertruck Long Range RWD has incited a lot of conversations among electric vehicle enthusiasts on social media, with some EV fans stating that the cost of the features that Tesla removed in the LR RWD seem to be worth far beyond $10,000. Others noted that with its (very) stripped-down nature, the Cybertruck Long Range Rear Wheel Drive should have been priced around $55,000, or at least closer to Elon Musk’s previous comments about electric pickup truck prices in the past.
Back in 2019, Elon Musk noted during an interview on the Ride the Lightning podcast that he believes consumers should be able to purchase a decent electric pickup truck for less than $50,000. “You should be able to buy a really great truck for $49k or less,” Musk stated then.
The Cybertruck was ultimately unveiled in November 2019 with a starting price of $39,990. If one were to adjust for inflation, Elon Musk’s sub-$50,000 Cybertruck price estimate would be worth $62,811 today, which is roughly the price of the Cybertruck LR RWD with the federal tax credit. For context, the Cybertruck’s $39,990 base price during its November 2019 unveiling is worth $50,249 today if adjusted for inflation.
A Boost to Cybertruck AWD
One would not be faulted to speculate that Tesla released the Cybertruck Long Range Rear Wheel Drive as a way to encourage customers to purchase the more expensive Cybertruck All Wheel Drive. For just $10,000 more, after all, customers would be getting a substantially better-equipped vehicle with better performance and far more utility.
It remains to be seen how well the Cybertruck LR RWD would sell, though considering its stripped-down nature, there seems to be a chance that the variant would follow the same path as the $35,000 base Model 3 Standard Range RWD, which was briefly sold but eventually retired due to low orders. What the $35,000 Model 3 did, however, was push a lot of sales of the Model 3 Standard Range Plus, which ultimately became one of Tesla’s volume sellers and is still in production today simply as the Model 3 RWD.
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.