News
Tesla asked by NHTSA to furnish Autopilot data logs [Updated]
The National Highway Transportation Safety Administration has sent Tesla Motors a 9 page letter asking for specifics about any modifications to the Autopilot system including software changes that Tesla has made since Autopilot was first rolled out in the fall of 2015.
Updated: We received a copy of the 9-page letter sent by the NHTSA to Tesla outlining details on the type of information Tesla must hand over.
At issue is how the system detects and reacts to cross traffic. The probe is related specifically to the crash that killed Joshua Brown on a Florida highway on May 7. His car was operating on Autopilot when it struck the side of a tractor trailer that was crossing the road in front of it. Tesla says the cameras on Brown’s Model S failed to distinguish the white side of the tractor trailer from a brightly lit sky. As a result, the car did not brake automatically.
According to ABC News, the letter is asking for information about how Autopilot reacts when proceeding through intersections where there is cross traffic. Its request also asks the company to describe how the system determines if the input from cameras and other sensors is “compromised or degraded” in any way, and how the problems are communicated to the driver.
Lastly, the NHTSA has given Tesla an August 26 deadline to turnover details of all known crashes, consumer complaints, and lawsuits filed or settled because the Autopilot system didn’t brake as expected. Agency spokesperson Bryan Thomas says the information requested is a routine part of an investigation and the agency has not yet determined whether Autopilot constitutes a safety risk.
Elon Musk told the Wall Street Journal on Tuesday that Tesla has no plans to disable its Autopilot feature in the wake of the fatal crash in Florida. Musk responded by saying that the company is planning an explanatory blog post to educate customers on how Autopilot works. “A lot of people don’t understand what it is and how you turn it on,” he said. Musk is a fierce supporter of the Autopilot system and claims it has already proven to be safer than a human driver.
All of this comes as more details are emerging about a crash in Montana involving a Model X that reportedly veered off a country road. The driver told the Montana state police he had initiated Autopilot, but Tesla says the vehicle log shows only auto steer was activated. The car’s computer detected no force on the steering wheel for more than two minutes. If there’s no force on the wheel or a sharp turn is detected, the vehicle is programmed to gradually reduce speed, stop, and turn on the emergency lights, Tesla said in a statement.
The company said the Model X alerted the driver to put his hands on the wheel, but he didn’t do it. “As road conditions became increasingly uncertain, the vehicle again alerted the driver to put his hands on the wheel. He did not do so and shortly thereafter the vehicle collided with a post on the edge of the roadway,” the statement said. It isn’t clear whether the Model X had made a decision to stop at the time of the crash.
The car traveled around a right hand curve, then went off the road. It traveled about 200 feet on the narrow shoulder, taking out 13 posts, said trooper Jade Shope. No citation was issued to the drivers because the trooper believed any citation would be void if the car was operating on Autopilot as claimed by the driver. That is a fairly curious position for a law enforcement officer to take, since there is no way for authorities to determine at the scene of an accident whether Autopilot actually was or was not activated.
The National Transportation Safety Board has also opened an investigation of the Florida crash. It is entirely possible that some new regulations regarding autonomous driving systems in general will result from the combined NHTSA/NTSB review.
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”
