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Tesla Model Y rigid wiring is a step towards Elon Musk’s ‘Alien Dreadnought’ factory
The Tesla Model Y’s wiring seems to hint that little by little, the electric car maker is still moving towards a production line that is so automated, it is worthy of being dubbed an “Alien Dreadnought” factory. The most recent hint of this came in a video from auto teardown expert Sandy Munro, who is currently engaged in a thorough analysis and teardown of the Tesla Model Y.
Munro’s Model Y teardown has reached a point where the auto veteran is now looking into the all-electric crossover’s wiring system. Much to his pleasant surprise, Munro found that some of the Model Y’s wiring has become very different from those found in an early-production Model 3 he tore down and studied back in 2018. One of the key differences could be found in the wiring that connects the Model Y’s charge port to its battery pack.
As noted by Sandy Munro in his video, the heavy cables that connect the Model Y’s charge port to its battery pack are fitted inside a metal pipe. The auto veteran noted that this strategy has several advantages. By using a metal pipe, Tesla can ensure that the Model Y’s wiring is always a perfect fit during the vehicle’s assembly. The system also saves up space and weight compared to traditional cables, such as those found in the early-production Model 3.
This novel wiring system echoes a lot of the discussions in a previous Tesla patent published back in late 2018. In that particular patent, Tesla discussed how flexible wires are not optimized for production processes that are heavily reliant on automated machinery. Tesla’s patent then suggested the use of rigid cables, which could be easily picked up and installed by machines with very little margin or error. Interestingly enough, the Model Y’s wiring system that Munro recently discovered seemed to be quite similar to the structural cabling design that Tesla described in its patent.
The fact that the Model Y’s wiring seems to be optimized for automated production lines bodes well for Tesla. Elon Musk has always envisioned that Tesla factories will eventually run with minimal human staff, as robots would dominate the manufacturing line. Prior to the Model 3 ramp, for one, Musk described his vision for a factory that was so automated, Tesla’s internal name for it was the “Alien Dreadnought,” a reference to the hyper-advanced extraterrestrial ships in science fiction.
The pursuit for the Alien Dreadnought factory eventually had to take a step back during the Model 3 ramp, after the vehicle’s hyper-automated lines ended up performing less effectively than a production line that employs both humans and machines. Elon Musk, for his part, later admitted that he overreached with the Model 3’s automation. The CEO even remarked later that ultimately, he learned that “humans are underrated.”
If Munro’s discoveries on the Model Y’s wiring are any indication, it appears that Tesla is still making a lot of headway in optimizing its vehicles for automated production and assembly. The Model Y’s rigid wiring may be a simple change from the Model 3, but it goes a long way in proving that little by little, Tesla is still focused on improving its vehicles, from one iteration to the next.
Watch Sandy Munro’s latest feature on the Tesla Model Y in the video below.
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.
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”
