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Tesla reveals Cybercab battery pack and range efficiency
Tesla aims to make the Cybercab the most efficient EV available, as executives revealed in an interview this week.
Two of the top Tesla executives recently spoke about the Cybercab in an interview with a longtime manufacturing industry expert, sharing details about the electric vehicle’s (EV’s) battery pack size, range, and more.
On Monday, Tesla’s VP of Vehicle Engineering Lars Moravy and Senior Design Executive Franz von Holzhausen told manufacturing industry veteran Sandy Munro that Tesla is targeting a battery pack of under 50kWh for the Cybercab, with “close to” 300 miles of real-world range. This would make the two-seater more efficient than any other EV currently in production, partially due to the two-seater’s highly-aerodynamic design.
Munro says he was expecting a battery pack ranging from 55kWh to 60 kWh, noting how much smaller Tesla is aiming to go. Before revealing the range targets, Moravy also detailed how the Cybercab’s aero wheel covers offer optimal aerodynamics to contribute to the impressive efficiency level.
“As much as Franz hates door handles, I hate the wheel-tire interaction, and this is really the best way for us to get the most aerodynamic wheel-tire we could get,” Moravy explains.
From the wheel covers to the overall design, however, von Holzhausen explains how much thought has gone into making the vehicle so efficient—even down to its shape.
“This car is actually really unique in terms of its teardrop shape,” von Holzhausen said. “It’s actually quite narrow in the rear compared to the front. Obviously, you covered the discs, but the aero efficiency is a huge factor in getting to higher range with a smaller battery pack.”
The fact that the vehicle only has two seats also contributes to some of the design choices Tesla was able to implement, as the executive continues to explain.
“Really, because it’s a two-seater we were able to really narrow the hips on this car, and when you come to the rear, you actually start to see how narrow it is, but it’s not unattractive,” he adds.

Credit: Tesla | X
🚨 Lars Moravy, Tesla’s VP of Vehicle Engineering, says the Cybercab is not “painted” and they developed a new process where the polyurethane paint is injected into the panel at the same time as manufacturing
(via Ride the Lightning podcast) pic.twitter.com/5g7vjdOpNn
— TESLARATI (@Teslarati) February 23, 2025
READ MORE ON TESLA CYBERCAB: Tesla reveals design inspiration behind Cybercab’s gold color
Moravy reiterates that Tesla is already starting to install production equipment for the Cybercab at Gigafactory Texas, which was revealed in a shareholder’s letter in late January. He also echoes plans that Tesla is aiming for prototype builds for the Cybercab by this summer, along with a launch event around early 2026.
In recent weeks, increasing numbers of Cybercabs have also been seen testing at Giga Texas, and longtime drone pilot and factory observer Joe Tegtmeyer said that he saw as many as six driving around the site on Monday.
Last month, Moravy also alluded to plans to make the Cybercab “road-trip-capable,” going long distances with wireless charging along the way to make it completely autonomous for passengers.
Along with talking about the Cybercab’s super-efficient design, the two executives also reiterate discussions about the art deco-inspired design of the robotaxi and the larger Robovan, both of which were unveiled in an event in October. Munro and the executives also go on to sit inside the Robovan while talking a bit about its design.
You can see footage from Teslarati‘s first full ride in the Cybercab below, as captured at the “We, Robot” event in Southern California. Or, check out the full Cybercab and Robovan episode from Munro, Moravy, and von Holzhausen below that, clocking in at just under 25 minutes.
🎥: Our FULL first ride in the @Tesla Cybercab pic.twitter.com/6gR7OgKRCz
— TESLARATI (@Teslarati) October 11, 2024
Tesla says its Cybercab wireless charging efficiency is ‘well above 90%’
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.