News
Tesla owners convey worries over radar loss for inclement weather
This is a preview from our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future.
Tesla’s recent decision to scrap Radar in favor of a Camera-based approach for Autopilot and Full Self-Driving aligned with the company’s plans and statements over the past few Earnings Calls. For CEO Elon Musk, the goal has been to get away from radar and depend on camera systems for Tesla’s self-driving plan, but some owners are not convinced of the decision. Over the past few days, I have received several emails and Tweets about the decision, with some owners still not completely confident in the vision-based approach Tesla will take.
During the Q1 2021 Earnings Call just a few months back, Elon Musk made it clear Tesla would be switching to a Camera-based system for AP and FSD. Comparing the cameras to human eyes, Musk’s explanation made a lot of sense.
Musk said:
“When your vision works, it works better than the best human because it’s like having eight cameras, it’s like having eyes in the back of your head, beside your head, and has three eyes of different focal distances looking forward. This is — and processing it at a speed that is superhuman. There’s no question in my mind that with a pure vision solution, we can make a car that is dramatically safer than the average person.”
Tesla Model 3, Model Y builds in May 2021 will no longer equip radar
Now, the thing is, eyes, while great for seeing things that are in the clear, are highly effective, and it makes a lot of sense to try and use this sort of approach for self-driving because it is how humans have driven for years. But when humans are confronted with low visibility and severe weather on the road, the confidence goes down, and many drivers adjust by traveling at lower speeds. Some even pull over and wait for the weather to subside, a move that is rare for many but some simply do not like driving in bad weather.
This is where radar comes in handy because it can identify and locate objects and how far they are away from the vehicle in the event of low visibility on the road, which is something that the human eyes, or cameras, simply cannot do.
An email from an Australian reader seemed to narrow in this point even further. A man named Peter emailed me and stated that his Model 3 recently identified a truck that was ahead of him but concealed in an opaque, white mist several car links ahead of his vehicle. “I assumed that visualization was created as a result of radar. In those conditions, the message multiple cameras blocked or obstructed appeared and the autopilot screamed and handed over,” Peter said.
Unless I’m in fog on I-5 and can’t see the massive collision ahead…. I’d like to understand the workaround to this. pic.twitter.com/sQXB63yWlv
— Rome Strach (@romn8tr) May 28, 2021
He then added, “On multiple other occasions I’ve noted on the visualization screen an unsighted vehicle obstructed by an SUV ahead of me.”
Without radar, the recognition of these vehicles would not be possible, so it brings some concerns to drivers who have utilized the radar system in vehicles to gain confidence in their surroundings.
Now, in a somewhat comical response to concerns, Musk posted a Reddit response from u/YukonBurger, which stated that they worked with radar a lot and were “very, very happy” with Tesla’s decision. It basically explained that trying to jive radar and cameras together is extremely difficult, and there are instances where using your eyes is just a better option because you can see how far you are away from things. Interestingly, the post does admit that “radar is really only good for reduced visibility situations where lane-keeping will probably also be degraded enough to not be worth it.” It concluded by stating that vision is still quick enough to avoid accidents or vehicles in front of the car in a short period of time, the real issue comes from cars behind you.
Not sure who wrote this, but it’s accurate pic.twitter.com/gRvWxOJZ56
— Elon Musk (@elonmusk) May 26, 2021
It seems that the real key to vision being a better approach comes down to the fact that, in clear conditions, it won’t have an issue identifying and removing itself from danger. Even in rainy conditions, where visibility isn’t necessarily bad, the vision approach is more advantageous than using radar.
The goal, ultimately, is to make the cars act as a human would, and humans don’t have radar. Instead, they compensate for reduced visibility with less dangerous driving. Slower speeds, more cautious navigation, and less frequent lane changes. Autopilot and FSD are already pretty timid and “shy” to begin with, it’s not like they’re out there driving like pissed-off teenagers.
I think that, while this move is somewhat worrisome for some drivers, the benefits outweigh the disadvantages. This has been a part of the plan for some time, and I think that now it is becoming a reality, some are starting to put the pieces together that there won’t be any radar so visibility limitations could end up being problematic. I wouldn’t worry, because I believe the cars will adjust just as humans do, they will simply be more cautious and more courteous on the roads in these settings.
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I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!
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.
News
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.
News
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”
