Tesla has launched the capability for direct integration with DIMO, a decentralized connected car app that lets users connect to networks like vehicle fleets and earn rewards.
DIMO announced the direct integration with Tesla’s vehicles in a press release on Tuesday, set to let Tesla owners manage permissions with their data, connect to vehicle fleet networks, and earn rewards for sharing data directly through the app. Tesla is the first major automaker to enable such an integration, and the company already has 20,000 Tesla vehicles and a total of 109,000 vehicles integrated with the DIMO platform.
In a statement to Teslarati, DIMO Co-Founder Alex Rawitz pointed to Tesla’s approach to opening developer platforms as a good one, noting that platform openness and user choice are worth prioritizing.
“Connected services have not been the goldmine that the auto industry expected,” Rawitz said. “One of the reasons for that has been underwhelming developer platforms that don’t put users first. Tesla is certainly bringing the industry in the right direction by making their platform more open and giving users choice with what apps they can enable for their car.”
📣This is BIG… @Tesla has enabled a direct integration with DIMO, the first automaker to do so. Tesla continues to lead the way by officially supporting robust connections with open mobility platforms. pic.twitter.com/LJDot2IkTN
— DIMO (@DIMO_Network) August 27, 2024
“Where many automakers struggle with issues of security, privacy, and openness, Tesla continues to lead the way by officially supporting robust connections with open mobility platforms,” DIMO writes in the release. “Tesla drivers will now be able to seamlessly manage their connection to DIMO via their Tesla app or infotainment system and continue earning rewards for simply having their vehicle connected to the network.”
To sign up, Tesla owners simply need to download the DIMO app and connect their vehicles to the network here, where they can toggle data permissions and earn money for staying connected. You can learn more about the program on DIMO’s website here.
Tesla vehicles that are already on the DIMO platform will need to upgrade their connection by October 31. The connected car app developer notes that the deal will offer owners “fine-grained permission control,” along with access to advanced widgets for car health, and additional capabilities such as remotely unlocking the trunk, opening the doors, and more.
“The connected car experience will be as personalized as your phone,” Rawitz also explained in a Tuesday post on X. “Lot’s of companies trying to make that happen, only one project aiming to do it decentralized.”
Tesla adopting direct integration with the platform is also a huge step, as other automakers could follow in opening up their codebases for integration with third-party platforms like DIMO.
In a conversation with Teslarati in June, fellow DIMO Co-Founder explained how the app adds additional layers for vehicle owners in controlling their own data, even with regards to competition in the used auto market.
“You really want to be in a situation where, if you control your data, not only can you in some cases monetize that, but if you’re bringing that data to a transaction with an insurance company, or with the used car market, to these really big transactions that people make all the time, you’re gonna get a better deal most of the time,” Chatham explained. “And you can at least choose whether you’re going to include that data in the deal or not.”
Updated 8/28/24: Added paragraph three and initial quote from DIMO Co-Founder Alex Rawitz.
Survey shows that 96% of consumers want to own their vehicle data
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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”
