Tesla AI Day 2022 is just around the corner. As anticipation for the event builds, let’s look at the possible updates Tesla might provide during the event.
For the past month or so, Tesla has been rolling out FSD Beta 10.69 and its various iterations. Teslarati has been talking with FSD Beta testers and chronicling their thoughts on v10.69 over the past few weeks. Tesla might provide more insight into FSD Beta and its expected release to the public during AI Day 2022.
Optimus has been in the works for nearly a year. The Tesla Bot was unveiled at last year’s AI Day. Everyone expects Tesla to unveil the long-awaited Optimus prototype during the upcoming AI Day 2022.
FSD Beta Updates
Tesla plans to roll out FSD Beta version 10.69.2.3 after AI Day 2022. Currently, Beta testers are trying out v10.69.2.2. Most Tesla drivers who have talked to Teslarati reported issues with lane selection, turns, turn signals, and speed limit signs.
Beta tester Frank summed up the experiences of all the drivers in the program well.
“From my experience, there [sic] has been both steps forward and backward. The late version is much better than the previous, but has a few [issues],” Frank noted.
“I would say that the general comments I read in your [Teslarati] articles would reflect my experience. Without a doubt, drive with caution. There has been progress to this complex problem,” he added.
During an invite-only Goldman Sachs tech conference, Tesla’s Senior Director of Investor Relations Martin Viecha stated that Tesla’s plans for the wide release of Full Self Driving remain on track.
Earlier this year, Elon Musk forecasted that FSD might be released to qualified vehicles by the end of 2022. At the tech conference this month, Viecha explained that Tesla might release “supervised” FSD by the end of the year.
Current FSD Beta testers believe that Tesla’s autonomous driving software has improved tremendously since the release of v10.69. However, quite a few also believe Tesla still needs to be cautious about releasing FSD to more drivers.
“To Tesla, keep working things out, but do not be as optimistic as you are. If you are not having to intervene [sic], you are not driving on my roads,” commented one FSD Beta tester.
Tesla Bot [Optimus]
At the beginning of 2022, Elon Musk stated that Tesla’s humanoid robot, dubbed Optimus, is a top priority for the company.
“So, in terms of priority of products, I think actually the most important product development we’re doing this year is actually the Optimus humanoid robot. This, I think has the potential to be more significant than the vehicle business over time,” Musk said.
“If you think about the economy, it is— the foundation of the economy is labor. Capital equipment is distilled labor. So, what happens if you don’t actually have a labor shortage? I’m not sure what an economy even means at that point. That’s what Optimus is about. So, very important,” he elaborated.
In May 2022, Elon Musk confirmed that Tesla would provide a sneak preview of the Tesla Bot. The 2022 AI Day teaser poster hints that Tesla still plans to reveal some juicy tidbits about Optimus.
Hopefully, Tesla elaborates more on the humanoid robot’s production and potential release date on the market. During Musk’s TED appearance in April, he estimated that Optimus would cost less than a car once Tesla scales production.
Tesla AI Day 2022 is a recruitment event similar to last year. The company is also expected to talk about its Dojo AI supercomputer, as well as its next-generation in-house computer, Hardware 4, which is expected to debut with the Cybertruck.
Are you attending Tesla’s 2022 AI Day? I’d like to hear your thoughts on the news Tesla shares during the event. Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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.