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Tesla Model Y ‘future proof’ Autopilot-Infotainment link hits two birds with one stone
The Tesla Model Y is proving to be a vehicle that’s loaded to the brim with optimizations. From its wiring to its casting, the Model Y seems to be designed to be as future proof as possible. And if a recent set of tweets from a noted Tesla hacker are any indication, this future proofing may even extend all the way into the ethernet links used in the vehicle’s Autopilot computer and infotainment system.
Tesla owner-hacker @greentheonly recently posted images of computer components used in the Model Y that were evidently different from the ones used in the Model 3. Among these, the most notable change lay in Tesla’s use of upgraded ethernet links for the Autopilot computer and the infotainment system. While the Model 3 is equipped with 100 mbps links, the Model Y was equipped with links that are capable of 1 gigabit speeds. This change also necessitated a harness update in the all-electric crossover.
What is rather interesting is the fact that Tesla does not really need a 1 gigabit ethernet link for its electric cars today, or perhaps even in the near future. This is because the updated component in the Model Y is not related to the performance of Full Self-Driving or Autopilot at all. It is simply the link between Hardware 3 and the Model Y’s infotainment system.
Tesla community members from the r/TeslaMotors subreddit have stated that the 10x improvement in the Model Y’s ethernet link may actually be quite excessive specs-wise. Tesla enthusiast u/ShaidarHaran2 mentioned that it’s challenging to think of a process or task that would require gigabit speeds. Even if Tesla were to roll out improvements in the transmission of virtual display elements like traffic cones, lane lines, and other inner-city driving images to the infotainment system, the Model 3’s 100 mbps links would be more than enough.
Considering that the Model Y’s ethernet links are pretty much overkill with this update, it appears that Tesla may have adopted the computer upgrades primarily due to two potential reasons. One, the change may be motivated by a need to future-proof the all-electric crossover further. And two, the move to 1 gigabit links may partly be due to cost efficiencies. A lot of this may be motivated by the general trend of the tech sector.
Tesla Model 3 owner u/NetBrown of the r/TeslaMotors subreddit, who works as a network engineer, noted that it has become very difficult to find 100 mbps ports at a reasonable price today. Thus, it would actually be more practical for Tesla to use 1 gigabit links for the Model Y considering the costs of the components today, even if it’s a bit overkill in terms of speed. Card
Of course, it should be noted that Tesla is a company that rolls out incremental improvements to its fleet of vehicles as soon as something better is available. While these new computer parts are available in the Model Y now, it would likely be only a matter of time before the same system is adopted to Tesla’s other vehicles like the Model S and Model X. Newer Model 3 sedans may also have adopted these upgraded ethernet links as well, considering that the all-electric sedan shares 75% of its parts with its crossover sibling.
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.