Tesla’s Full Self-Driving (FSD) beta version 12 has been a hot topic over the last several months, representing an important switch that’s expected to help unlock higher levels of autonomy. And while the highly anticipated FSD v12 hasn’t yet been deployed publicly, some think that it could go out to a wider audience by the end of this month.
Last month, Tesla began rolling out the FSD beta v12.1 to Wave1, a group made up of over 15,000 employee vehicles. CEO Elon Musk went on to say that Tesla is currently performing extra testing on v12 before the software sees a wider release to the public.
In a recent look at where the FSD beta v12 is at ahead of its release, Teslascope shared a detailed breakdown of events leading up to this point on X over the weekend, adding that they’re “hopeful” that the software will be released sometime in late January. In addition, the account says that Tesla has begun internal tests of Actually Smart Summon (ASS), which has a “very likely chance” of going out later on in the first quarter.
Teslascope also points to recent feedback on the FSD beta v12 received from employees in the Wave1 group, with most answering that the software did indeed include some substantial improvements. These are summarized below, based on at least a dozen reviews shared with Teslascope from employees in California:
Tesla FSD beta v12.1: improvements to “human-like behavior” and general stability
- 72 percent said FSD beta v12.1 includes improvements in “human-like behavior” and general stability.
- 20 percent said there was no change to “human-like behavior” and general stability.
- 8 percent said these factors had worsened.
Tesla FSD beta v12.1: improvements to roundabout encounters
- ~40 percent said FSD beta v12.1 improved roundabout encounters had improved.
- ~50 percent said there was no change to roundabout encounters.
- ~10 percent said these factors had worsened.
Tesla FSD beta v12.1: improvements to lane-keeping
- 37 percent said FSD beta v12.1 offered improvements to lane-keeping.
- 60 percent said there was no change to lane-keeping.
- 3 percent said these factors had worsened.
Despite the hopefulness, the account also notes that the Cybertruck release has caused Tesla to put some extra energy into creating a stable FSD beta build for the vehicle, though Musk recently noted that the electric pickup would be the lowest priority for the FSD beta. Because of the extra effort put into this, the account says that delays could be possible and that they’re continuing to monitor the ongoing deployment of the version to those within the Wave1 group.
Tesla unveiled plans for the FSD beta v12 last year, featuring the elimination of over 300,000 lines of human-written code that previously controlled functions such as steering, acceleration and braking. Instead, v12 is expected to rely much more heavily on its neural network, training its artificial intelligence (AI) through massive amounts of real-time driving footage, and using the neural network to actually control the vehicle, rather than just detecting objects.
Musk also debuted the FSD beta v12 in a live stream in August, and he has also said that the version would lose its “beta” designation. Tesla began rolling FSD v12 out to employees in November, and screenshots from the Wave1 group appeared to show that the version will still use the beta moniker.
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”
