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First look at Tesla’s new UI and driving visualizations for FSD beta in action
Tesla has started rolling out software version 2020.40.8.12 to users of the company’s limited Full Self-Driving beta, and based on observations from the EV community, it appears that the update includes a new UI that is optimized for the operation of the FSD suite. This is evident in the UI’s larger space for FSD’s driving visualizations, as well as its smoother, vector renders for driving paths, objects, and streets.
Images of Tesla’s new UI were shared by limited FSD beta user Tesla Raj, who seemed to be among the first Model 3 owners who received the update. As noted by the Tesla enthusiast, immediately noticeable was the larger space allotted for visualizations. This is especially striking when the vehicle is in Park, as the Tesla avatar on the display has now gotten considerably larger and more detailed. The animation when opening the trunk, frunk, and doors is now smoother as well.
The changes in Tesla’s UI does affect the layout of the center display. With a larger space allotted for driving visualizations, the area for the map has been reduced. The Tesla “T” logo at the top of the display has also been removed. Whether this would be popular among Tesla owners is up for question, though it is evident that the change was made with regards to the growing functionalities of the Full Self-Driving suite. Tesla explained this in its Release Notes for 2020.40.8.12.
Driving Visualization Improvements
The driving visualization has been improved to better support Full Self-Driving capabilities by increasing the display size to show additional surrounding information. The next turn will now appear above the visualization if the navigation turn list is covered by another app.
With the larger visualization, select items have slightly moved but will continue to look and behave the same. Some notable differences include the following:
- Quick access to the backup camera and wipers has moved to the bottom bar.
- Autopilot set speed is now displayed directly below the speedometer and can continue to be adjusted using the right steering wheel scroll wheel. The speed will turn blue when Autopilot is engaged.
What is rather interesting is the fact that the improvements being introduced to the Full Self-Driving beta have been coming at an incredibly rapid pace. Since rolling out to members of the limited FSD beta just over a week ago, the system’s capabilities have already started exhibiting more refinements. This was observed by the Tesla Owners Silicon Valley group, who asked how the new update and UI could enhance FSD’s actual performance on the road. In a response, Musk stated that the update may result in fewer interventions.
“We measure this primarily in intervention probability. This update addressed several issues, resulting in perhaps ~1/3 fewer interventions. Many of the improvements consist of fixing silly bugs vs grand eureka moments. True for most beta releases in my experience,” Musk wrote.
Elaborating further, Musk explained that as Full Self-Driving improves, the faults that will be experienced by the system will likely decrease significantly. The CEO explained that while FSD’s faults would never be zero, there will eventually be a point when its probability of faults will be notably lower than that of an average human driver. Musk added that the updates to the limited FSD beta would be quite rapid as well, with new improvements being rolled out every 5 to 10 days.
Watch a first look at Tesla’s new UI and driving visualizations 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”
