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How to Decode Your Tesla Model S VIN
With the Model X delivery around the corner, the recent announcement of the Model 3 and the much anticipated unveiling of the “D”, we thought it would be fun decode the Model S Vehicle Identification Number (VIN) and take a wild guess on how future VINs may look like.
Finding your VIN
The VIN is a 17 character alphanumeric fingerprint to your vehicle often found on the lower left corner of your dashboard and against the windshield. Law requires that it be placed in a visibly prominent spot on the car and for that reason it’s not a secret code, dispelling the myth that your VIN is a confidential identifier. I’d hate to break it to you but your VIN is not a secret.
The Tesla Model S VIN can also be viewed by pressing the Tesla logo at the top of the 17″ display. The VIN is required by DMV and also when registering your vehicle with the insurance company because it provides a wealth of information about your vehicle.
Decoding the Tesla Model S VIN
Referencing Tesla’s filing with the National Highway Traffic Safety Administration (NHTSA), here’s how we can decode the Model S VIN.
The first digit in the VIN indicates the vehicle’s country of origin which can also be its assembly location. Referencing CarFax we know that 5 represents the country code for the USA. The second character, Y, is for Tesla Motors as the Manufacturer. The third character, J, represents the vehicle type. Things start to become even more detailed as we start moving into the Vehicle Descriptor Section.
The make of vehicle is the first character within the Vehicle Descriptor Section. S is for the Model S, R for the Roadster and following this pattern we should expect to see codes of X, 3, and possibly D down the road.
The next character, A, is the body type and represents a 5 door hatchback with left hand drive. Right hand drive Model S’ use the letter B. The restraint system has had a few different variations but a 1 represents Manual Type 2 USA Seat Belts while Dual Front Airbags, Front/Rear Side Airbags, Knee Airbags etc. utilize their own set of codes.
The battery type, H, is for the 85kWh battery, and S is for the 60kWh battery. The final digit indicates the number of drive units (motors). This will be 2 for the Model X. Based on this Tesla Motors NHTSA VIN filing, it’s almost certain that a dual motor Model S will soon be announced. We’ll expect to see a 2 in the VIN of the Model S “D”.
The next code labeled Check Digit is just a way for agencies to verify the VIN through a mathematical algorithm. The year is a code with E representing 2014, F for 2015 etc.
The assembly plant is F which stands for Fremont, CA and there appear to be other plant codes they’ve used in the past. As Tesla starts assembly in other countries we’ll expect to see new codes here.
The first character of the production number indicates the stage of production with a few interesting codes:
Mine is a P for production level. The final 5 digits are a unique serial number. People often abbreviate their VIN with just the production number, so P36801 in my example.
The Tesla Motors VIN is constantly evolving as the electric carmaker continues to expand their lineup and into different markets. Don’t for one second think it’s just simple letter or number because in reality each one represents exciting new changes for Tesla Motors.
What does your VIN say about your car? Let us know in the comments 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.
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”
