Consumer advocate group Consumer Reports (CR) has issued a sharp rebuke of Tesla’s Full Self-Driving Beta V9, which began its initial rollout earlier this month. CR highlighted FSD Beta V9’s capabilities and lack of safeguards as its main point of criticism for the advanced driver-assist system.
Tesla FSD Beta V9 adopts the company’s pure vision approach, which uses a camera-based Autopilot model. Tesla’s decision to adopt pure vision as opposed to its previous camera+radar approach was quite controversial, though initial reviews from some FSD Beta users have noted that their vehicles have been behaving more confidently with FSD Beta V9. Elon Musk, for his part, has maintained that FSD Beta V9 users must exercise utmost caution when using the system.
Consumer Reports’ Tesla Model Y does not have FSD Beta V9 software, and thus, the company is yet to experience the advanced driver-assist system firsthand, but Jake Fisher, senior director of CR’s Auto Test Center, noted that videos of FSD Beta V9 in action do not inspire confidence. “Videos of FSD Beta 9 in action don’t show a system that makes driving safer or even less stressful. Consumers are simply paying to be test engineers for developing technology without adequate safety protection,” he said.
The magazine pointed to videos uploaded by FSD Beta V9 tester AI Addict, whose YouTube uploads showed instances when the advanced driver-assist system made mistakes and required manual interventions. Missy Cummings, an automation expert who is director of the Humans and Autonomy Laboratory at Duke University, noted that FSD Beta V9 still has fundamental problems.
“It’s hard to know just by watching these videos what the exact problem is, but just watching the videos it’s clear (that) it’s having an object detection and/or classification problem. I’m not going to rule out that at some point in the future that’s a possible event. But are they there now? No. Are they even close? No,” she said.
Selika Josiah Talbott, a professor at the American University School of Public Affairs in Washington, D.C., is more critical of the system, stating that the videos she has seen of FSD Beta V9 show that the advanced driver-assist system behaves “almost like a drunk driver” in the way that it struggles to stay between lane lines. “It’s meandering to the left; it’s meandering to the right. While its right-hand turns appear to be fairly solid, the left-hand turns are almost wild,” she said.
Despite Tesla’s rollout of a camera-based driver monitoring system to its vehicles, Fisher argued that the EV maker still needs to monitor its drivers in real-time to ensure that FSD Beta V9 is being used properly. “Tesla just asking people to pay attention isn’t enough—the system needs to make sure people are engaged when the system is operational. We already know that testing developing self-driving systems without adequate driver support can—and will—end in fatalities,” he said.
It should be noted that FSD Beta V9’s current iteration is not in wide release yet, and it has only been rolled out to the company’s select group of FSD Beta testers. So far, however, tests of the system in action seem encouraging. While manual interventions still happen from time to time, FSD Beta V9 does seem like a step forward from its previous iterations. This does not mean that Tesla’s driver-assist system is ready to go hands-free, of course, but it’s a solid step forward. Needless to say, there’s a good chance that improvements would be made to FSD Beta V9 before it gets a wider release.
Consumer Reports’ full article on Tesla’s FSD Beta V9 could be accessed here.
Watch AI Addict’s FSD Beta V9 video below.
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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”
