Release notes for Tesla’s holiday software update were shared earlier this month, including the addition of the High Fidelity Park Assist feature. Some have since shared footage of the feature in action, showing how it works in parking lots and garages as users evaluate its usefulness when trying to park.
Tesla’s holiday update release notes were shared on X earlier this month, where the company first mentioned the new High Fidelity Park Assist mode. Tesla owner Ryan Hoffman, along with others, have shared videos of the feature on X, including one taken in a Supercharger lot on Saturday.
As can be seen in the video, the activated High Fidelity Park Assist mode shows a similar view to the highly requested Birds Eye 360-degree visualization. Hoffman says he drives a 2023 Model 3 RWD with HW3 and the Ryzen chip, meaning the car doesn’t have Ultrasonic Sensors (USS) and utilizes just Tesla Vision.
The video is taken at a Supercharger station, where Hoffman backs into a charging spot. Behind the visualization of the car, you can see an orange and yellow zone, signifying the vehicle’s close proximity to the charging pile. The top-down visualization shows that it recognizes the charging stalls as well as the parking lines on the ground, making it easy to back into the spot without the car ending up crooked.
He also shared a short video of what it looks like to back into the spot, including the actual rear camera’s video footage and the High Fidelity Park Assist view, and calling the feature a “game changer” for parking.
Here’s a short video of what it looked like to reverse into the spot. The lines for each parking spot are very handy… it’s a game changer for parking. pic.twitter.com/47BDBbXw7z
— Ryan Hoffman (@tekmaven) December 16, 2023
Others have shared similar footage of High Fidelity Park Assist, as many have wondered how exactly the feature is activated when being used in a parking lot. According to X user EVBaymax, the feature appears to engage when there is a clearly defined object in front of or around the car, and when users shift into reverse in a parking lot. Still, the current version seems to lack the ability to engage when driving forward, although it probably should have this ability.
In his videos of the feature, you can see the visualization switch on from the regular Autopilot view when reversing in the parking lot, and he also says that speeding up to around 15-20 mph makes the visualization disappear again. He goes on to call the feature “surprisingly accurate” and “definitely helpful,” and he also includes footage using it in a darker, in-garage environment.
Here’s what the switch from Autopilot visualizations to High-Fidelity Park Assist looks like in a parking lot pic.twitter.com/xtx8BylI0W
— kEV (@EVBaymax) December 16, 2023
You can see in the above videos that the feature still requires some prodding to work as desired, though once it’s engaged, it looks to be pretty useful. It does, however, appear to fill the need that many have requested with Birds Eye, 360-degree views, as the top-down visualizer makes it especially easy to see where the vehicle is in relation to other cars, parking lines, and more when parking.
Tesla CEO Elon Musk recently said that the company’s cars will eventually offer a convenient “Tap to Park” feature, in which the vehicle will identify open parking spots and let drivers select on-screen which to use, then letting the driver get out and allow the car to park itself in the selected space. Still, many are awaiting updates like Tesla’s Actually Smart Summon and the automaker only reintroduced its Vision-based Park Assist earlier this year.
Tesla Model 3 Highland owner’s manual confirms Auto Shift out of Park feature
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to 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.
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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”
