Tesla’s Autopilot probe being carried out by the National Highway Traffic Safety Administration (NHTSA) has expanded following a Model 3 crash in Orlando, Florida, that occurred last weekend.
In mid-August, the NHTSA launched an investigation involving eleven instances of Tesla electric cars crashing into emergency vehicles. The vehicles were operating on Autopilot, according to the investigations, but there is some evidence that some vehicles involved in the eleven accidents were not being properly operated under Tesla’s Autopilot operational standards, which require drivers to remain in control of the vehicle. Two of the accidents resulted in arrests for driving under the influence of alcohol, while another driver was operating the car on a suspended license.
Nevertheless, the NHTSA has made it clear that it will investigate each of these instances to determine whether the Level 2 ADAS system was responsible for the accidents. All four currently available Tesla models are under investigation: Model 3s from 2017-2021, Model S vehicles from 2014-2021, Model X vehicles from 2015-2021, and Model Ys from 2019-2021.
The investigation is now expanding from eleven to twelve accidents after a motorist struck a Florida Highway Patrol vehicle during the early morning hours of Saturday, August 28th. The Highway Patrol officer was pulled over on the side of the road to assist a disabled vehicle, but his car was struck by a Model 3 operating on Autopilot. The driver stated the vehicle was utilizing Autopilot at the time of the accident.
The driver of the Model 3 and the occupant of the disabled vehicle were both reported as having minor injuries. The FHP officer was unharmed.
NHTSA launches Tesla Autopilot investigation over crashes with emergency vehicles
A new letter released this morning and obtained by Teslarati indicates that the Orlando accident is the most recent addition to the Autopilot investigation. An accident in San Diego that occurred on July 10th is the second-most recent occurrence.
The NHTSA writes in the letter to Tesla Field Quality Director Eddie Gates:
“This letter is to inform you that the Office of Defects Investigation (ODI) of the National Highway Traffic Safety Administration (NHTSA) has opened a Preliminary Evaluation (PE21-020) to investigate crashes involving first responder scenes and vehicles manufactured by Tesla, Inc. (Tesla) that were operating in either Autopilot or Traffic Aware Cruise Control leading up to the incident, and to request certain information.
This office is aware of twelve incidents where a Tesla vehicle operating in either Autopilot or Traffic Aware Cruise Control struck first responder vehicles / scenes, leading to injuries and vehicle damage. In each case, NHTSA has reviewed the incidents with Tesla. A list of the twelve incidents has been included for reference.”
The NHTSA is requesting significant information regarding each of the vehicles involved in the twelve incidents, including: Vehicle identification number (VIN); b. Model; c. Model Year; d. Subject component trade / trim name, part number and design version installed as original equipment; including: Software version; Firmware version; Hardware version; Date of manufacture; Date warranty coverage commenced; Date and mileage at which the “Full Self Driving” (FSD) option was enabled; The State in the United States where the vehicle was originally sold or leased (or delivered for sale or lease); Latest known vehicle mileage and commensurate date; Cumulative mileage covered with the subject system engaged; and Date and identities of the most recent software, firmware, and hardware updates.
Tesla is required to respond with the information by Friday, October 22nd, 2021, or it could have fines of up to nearly $115 million.
What do you think? Let us know in the comments below, or be sure to email me at joey@teslarati.com or on Twitter @KlenderJoey.
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”
