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Leaked Tesla Cybertruck frame image shows disappointing design detail
A leaked Tesla Cybertruck frame image shows a disappointing design detail that many owners hoped to have, as there is no cargo tunnel into the vault that would extend the hauling length allowing for long materials to extend from the bed into the cabin.
A photo of the Cybertruck on production lines as the body comes together shows the vehicle is fitted with anti-corrosion coating, which is a great idea for the truck as it will be used commonly as a construction vehicle.
Tesla also plans to have the Cybertruck operate in water as a boat, at least in some instances, and the anti-corrosion is a great idea if owners put this to the test.
If they do, extensive damage can occur, and if it is too far gone, corrosion could be the death sentence for the all-electric pickup.
Separately, observers of the Cybertruck are interested in the lack of a passthrough from the bed to the cabin.
Those on the Tesla Motors subreddit are disappointed to see that there is no evident passthrough in the body of the Cybertruck that would link the cabin to the bed, which eliminates the possibility of using the pickup as an overlander for camping, or for excessive space for hauling materials.
Anti corrosion coating looking good on the CyberTruck! Here we see there will be no cargo tunnel into the vault. pic.twitter.com/cyuK0hxDz1
— ₮ƧLλ ₱H∅ΞN!X (@TeslaPhx) July 14, 2023
Speculation has persisted for some time on whether Tesla would include a passthrough for various applications. Of course, the final design of the Cybertruck has been seen on various occasions throughout Texas and California, but the finer details have yet to be revealed by Tesla.
Things like this design detail, in particular, are not likely to be revealed until the Cybertruck’s delivery event, which is scheduled for this quarter and will hopefully happen on time.
Tesla has been known to be aggressive with some timelines, but all evidence seems to show the Cybertruck’s initial production phases have started and the automaker is moving forward with the initial customer builds.
Tesla Cybertruck body with single-piece rear megacast spotted in Giga Texas
There are several reasons the Cybertruck may not have been the most ideal candidate for a passthrough, or midgate, as it is often called. Tesla will do things that they feel are best for the vehicle and its design, and that is our first conclusion: maybe they just didn’t want to do it.
Secondly, it could have been an engineering issue. Midgates would likely require a different build of the truck entirely, and although it is only a slight difference in design, Tesla may have had its mind set on developing the Cybertruck without one. More details could be revealed on why in the future, but it does not seem apparent at the moment.
There are no known safety issues with having a midgate, and if Tesla was hoping to win over some truck buyers with the Cybertruck, there is the possibility that the lack of one could have potential customers opting for another design. The Sierra EV Denali from GMC has one, as well as the Silverado EV from Chevrolet, but only in its most expensive configuration, which comes in over $100,000.
While we don’t expect it to be a major pain point for truck buyers that are opting for an EV, the Tesla Cybertruck lacking a midgate could be one of the few downsides of the pickup as initial deliveries near.
Cybertruck customers: Is the lack of a midgate going to be a pain point for you? If so, please email me at joey@teslarati.com. I’d love to chat! You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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.
News
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.
News
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.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
