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Rivian CEO talks auxiliary batteries and ‘Jurassic Park’ style self-driving tours
As Rivian continues to set the stage for the production of its first two vehicles — the R1T pickup truck and the R1S SUV — CEO RJ Scaringe has started dropping some compelling new details about the two upcoming all-electric outdoor adventure vehicles. In a recent interview, the 35-year-old CEO mentioned a couple of upcoming features for the R1S and the R1T, such as an auxiliary battery that acts like a “digital jerry can” and autonomous capabilities that echo some iconic scenes from Hollywood.
Scaringe’s recent statements were related in an interview with Tesla owner-enthusiast Sean Mitchell of All Things EV. During the interview, the Rivian CEO and the longtime electric car owner talked about the R1T and the R1S’ batteries, their autonomous features, and even their charging infrastructure. Needless to say, it appears that the startup electric car maker has a number of compelling announcements in the pipeline.
A particularly compelling detail related by Scaringe involved the R1T and the R1S’s batteries. Being luxury adventure vehicles, the pickup truck and SUV are designed to go on long trips and travel off the beaten path without running out of range. As noted by the Rivian CEO, range is the primary reason behind the company’s extra large battery packs, which are offered at 105 kWh, 135 kWh, and 180 kWh configurations. With its largest battery pack, the Rivian R1T and R1S are expected to be capable of traveling more than 400 miles per charge.
To further avoid any range anxiety, Scaringe added that Rivian is currently working to install chargers at notable outdoor adventure locations, such as national parks and ski resorts. In the event that extra range is needed on the go, the CEO revealed that Rivian is also working on creating auxiliary batteries that work like a portable, extra tank of fuel which could provide the R1S and the R1T with extra range to make it to a charging station.
During the vehicle’s unveiling, Rivian noted that its vehicles would feature autonomous capabilities. To enable this, both the R1S and the R1T are equipped with a suite of cameras, radar, ultrasonic sensors, high-precision GPS technologies, and two, cleverly-placed LiDAR. Scaringe described some of Rivian’s upcoming autonomous features, including a self-driving tour function reminiscent of the iconic SUVs in the classic Steven Spielberg film Jurassic Park.
“Let’s say you are in a national park. We can give you a guided tour of that park, you know, narrated and explaining what you’re seeing, but it’s like the vehicles are on “digital rails,” sort of Jurassic Park style, as it drives around the park. These are some of the features we’re gonna be showing over the course of next year,” Scaringe said.
Both the Rivian R1T and R1S are designed to be just as capable in rough terrain as they are on paved roads. Thanks to their heavy battery packs, Scaringe noted that both vehicles actually have a low center of gravity despite their high ground clearance. This also gives the pickup truck and SUV stability and impeccable handling. The four electric motors used in the R1T and R1S provide the cars with some impressive performance specs as well, such as a 0-60 mph time of 3.0 seconds for the 135 kWh variant. Rivian has opened its pickup truck and SUV for reservations, with production expected to start at 2020.
Watch Rivian CEO RJ Scaringe’s recent interview with Sean Mitchell in the video below.
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”
