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Your Tesla will become a humanless chauffeur, summoned via app
Your Tesla eases its way through the choked streets of Los Angeles and climbs the Sierra Nevada. It glitters with the lights of Las Vegas before continuing over to Yellowstone National Park, where the geysers blow and the buffalo stare from roadsides. Meandering through the Badlands and by Mount Rushmore, it pushes upward in elevation into the Rockies and then down to Denver. After the Tesla powers past the Midwest’s cornfields, it propels its way through Chicago’s multiple highway lanes, wedged between tractor trailers. In the final leg of the trip, the Tesla dips and zips through Pennsylvania’s rolling hills and maneuvers through the congested streets of Times Square, parking itself.
These Northern route stats: 3,241 miles in 54 hours, and your Tesla did all the driving for you. It was capable of seeing through heavy rain, fog, dust, and two cars ahead.
That’s the vision, or Tesla Vision, rather, of the not-so-distant future as announced by Tesla CEO Elon Musk during a press conference call on Wednesday, October 19. Outlining a future of self-driving cars, Musk set a goal for Tesla to make a fully autonomous road trip from Los Angeles to New York by the end of 2017. The trip would occur “without the need for a single touch” from the driver, including recharging the car’s battery. Owners would be able to Summon their vehicle, through a press of a button on an app, and the car would drive itself to wherever they are and pick them up – even if it’s across the country. The vehicle would charge on its own along the way without human intervention using something similar to the Snakebot that Tesla revealed last year.
“Our goal— I feel pretty good about this goal — we’ll be able to do a demonstration drive of full autonomy all the way from LA to New York. So basically from a home in LA to, let’s say. dropping you off in Times Square, in New York, having the car park itself by next year. Without the need for a single touch, including the charger.”, says Musk.
When you want your car to return, tap Summon on your phone. It will eventually find you even if you are on the other side of the country
— Elon Musk (@elonmusk) October 20, 2016
This Level 5 “full self-driving or driverless capacity” will now be available on the 2,000 cars a week that Tesla is currently manufacturing. That means the Tesla Model S and Model X vehicles in production as well as the upcoming Model 3 will have what Musk terms “Hardware 2,” which allows for full self-driving capability at “a safety level substantially greater than that of a human driver,” according to Musk. The hardware includes:
- 8 surround cameras which provide 360 degree visibility around the car at up to 250 meters of range;
- 12 updated ultrasonic sensors that allow detection of both hard and soft objects at nearly twice the distance of the prior system; and,
- a forward-facing radar with enhanced processing that provides additional data on a redundant wavelength.
The system, which has been more than a year in testing, will see continual software updates as the system learns through data collected from ‘Shadow Mode’ and self-driving algorithms are refined. Musk said that it would be some time before Tesla’s software would advance to meet capabilities of Hardware 2, so it will be disabled until it “reaches parity following full validation with Hardware 1, probably in December.” Updates are likely to occur every 2-3 months thereafter. Nonetheless, and in lieu of required regulatory approval, Musk claims that the safety level of this autonomous driving will be at least twice that of a human, or better.
Tesla’s current Autopilot system has been replaced with a newer generation ‘Enhanced Autopilot’ that will leverage the new suite of sensors to provide more precise lane keeping, lane changes without driver input, the ability to exit freeways, and an overall smoother and safer experience. Enhanced Autopilot and the Fully Self-Driving Capability, autonomous mode, is being made available through Tesla’s Model S and Model X Design Studio as optional upgrades.
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”
