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Tesla FSD Beta 10.69.3 is coming and its going to be another major update [Editorial]

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As the Tesla FSD Beta v10.69.2.3 continues to roll out, Elon Musk teased “major upgrades” coming with v10.69.3. 

Elon Musk hinted at some of the upgrades v10.69.3 might introduce to FSD Beta during AI Day 2022. While answering questions from the audience, he mentioned a specific update regarding the car’s ability to assess the velocity of fast-moving traffic. One FSD expert also noted that Tesla plans to release a parking lot stack before the end of the year. He explained that the parking lot stack would enable cars maneuver around a lot and park.

FSD Stack for City Streets and Highways

During the event, Musk also discussed the FSD stack for city streets and highways. Based on his description of the stack, it might still be a few updates away before Tesla releases it to the FSD Beta tester fleet. 

“The version of FSD Beta that I drive, actually does have the integrated stack so it uses the FSD stack both in city streets and highway,” Musk shared with the audience during AI Day.

“It works quite well for me but we need to validate it in all kinds of weather, like heavy rain, snow, dust— And just make sure it’s working better than the production stack, you know, across a wide range of environments. But we’re pretty close to that, I mean I think it’s—I don’t know…It’ll definitely be before the end of the year and maybe November,” he added.

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FSD Beta 10.69.2.3 Updates

Trusted Tesla update tracker, Teslascope, shared that FSD Beta version 10.69.2.3 is going out to about 8%-10% of testers. The first beta tester reported receiving the latest update last week.

Tesla is expected to release a few minor issues in version 10.69.2.3, similar to version 10.69.2.2. Some issues that testers repeatedly mention are aggressive left turns, speed limit recognition, and some instances of phantom braking. However, lane selection appears to be the biggest issue that beta testers repeatedly mention to Teslarati.

“I experienced a lot of the same issues noted already regarding my S model, trying to stay in the right lane that was ending in a [Casey’s] store,” Beta tester Perry told Teslarati

Perry is a new Beta tester and started with version 10.69.2.2. He hopes the latest update v.10.69.2.3, corrects some of the issues he has observed. 

Tesla FSD Beta Improvements

Over the past few weeks, Teslarati has closely followed the releases of FSD Beta 10.69. Past articles have mostly covered issues testers have mentioned to the publication. However, Tesla FSD Beta testers have also seen improvements in the software.

In the last update, a few Beta testers noticed that their vehicles started avoiding road debris and construction work sites. They also reported fewer instances of phantom braking and a smoother drive.

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One tester, Mike, found that FSD does improve with time and when allowed to learn and correct itself. 

“[People] aren’t comfortable with entropy, which is essential for learning. The chaos seems to be higher just after the software update and becomes more reliable as time go[es] on,” Mike said. 

Elon Musk mentioned that Tesla’s fundamental metric to optimize FSD is the number of miles the vehicle can drive in full autonomy before an intervention “is required that is safety critical.” 

Mike mentioned that some people new to FSD might be “unimpressed” with it after only a few tests. Some testers may stop the tests, deeming it unreliable. However, based on Musk’s words, the more people use FSD, the better it will get. 

Are you an FSD Beta tester? I’d like to hear your thoughts and experiences with v. 10.69.2.3. Contact me at maria@teslarati.com or via Twitter @Writer_01001101.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk

Elon Musk and Tesla AI Director share insights after empty driver seat Robotaxi rides

The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.

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Ashok Elluswamy

Tesla CEO Elon Musk and AI Director Ashok Elluswamy celebrated Christmas Eve by sharing personal experiences with Robotaxi vehicles that had no safety monitor or occupant in the driver’s seat. Musk described the system’s “perfect driving” around Austin, while Elluswamy posted video from the back seat, calling it “an amazing experience.”

The executives’ unoccupied tests hint at the rapid progress of Tesla’s unsupervised Robotaxi efforts.

Elon and Ashok’s firsthand Robotaxi insights

Prior to Musk and the Tesla AI Director’s posts, sightings of unmanned Teslas navigating public roads were widely shared on social media. One such vehicle was spotted in Austin, Texas, which Elon Musk acknowleged by stating that “Testing is underway with no occupants in the car.” 

Based on his Christmas Eve post, Musk seemed to have tested an unmanned Tesla himself. “A Tesla with no safety monitor in the car and me sitting in the passenger seat took me all around Austin on Sunday with perfect driving,” Musk wrote in his post.

Elluswamy responded with a 2-minute video showing himself in the rear of an unmanned Tesla. The video featured the vehicle’s empty front seats, as well as its smooth handling through real-world traffic. He captioned his video with the words, “It’s an amazing experience!”

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Towards Unsupervised operations

During an xAI Hackathon earlier this month, Elon Musk mentioned that Tesla owed be removing Safety Monitors from its Robotaxis in Austin in just three weeks. “Unsupervised is pretty much solved at this point. So there will be Tesla Robotaxis operating in Austin with no one in them. Not even anyone in the passenger seat in about three weeks,” he said. Musk echoed similar estimates at the 2025 Annual Shareholder Meeting and the Q3 2025 earnings call.

Considering the insights that were posted Musk and Elluswamy, it does appear that Tesla is working hard towards operating its Robotaxis with no safety monitors. This is quite impressive considering that the service was launched just earlier this year.

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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.

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Credit: Starlink/X

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.

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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.

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Credit: Grok Imagine

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.”

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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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