News
Tesla-inspired Xpeng Motors unveils Model 3 competitor despite Autopilot lawsuit
China’s Xpeng Motors recently unveiled its answer to the Tesla Model 3, the P7 sedan. The vehicle is impressive, packing up to 440 miles of range per charge under NEDC standards at a price that undercuts more established rivals. But the company’s competition with Tesla goes beyond the pavement and well into the courtroom.
Xpeng issued a press release on April 27 announcing the official launch of its second production model vehicle. The P7 is currently available for order in China in three versions: a 4WD High Performance trim that can hit 0-100 km/h in 4.3 seconds, an RWD Super Long Range variant that goes 440 miles under the NEDC cycle, and the entry level RWD Long Range. The all-electric sedan uses 12 ultrasonic sensors, five millimeter-wave radars, and 14 cameras to operate its autonomous driving system, which is known as XPILOT3.0. After subsidies, the car will cost between $32,462 and $49,404.
“Today is a milestone in the 5-year history of Xpeng Motors,” Chairman and CEO He Xiaopeng said. “The P7’s launch solidifies Xpeng Motors’ leading position in China’s smart EV market. Our ability to launch the P7 in the challenging conditions of the COVID-19 crisis is a testament to the strength of our young company.”
However, Xpeng’s presence in the world of electric vehicles goes much further than the launch of its new car. The company is currently in a legal battle with Tesla, who is suing a company engineer for allegedly stealing Autopilot’s source code prior to starting his employment at the Chinese automaker.
-
- Credit: Xpeng Motors
-
- Credit: Xpeng Motors
-
- Credit: Xpeng Motors
-
- Credit: Xpeng Motors
Tesla accused Guangzhi Cao of downloading Autopilot’s source code to his personal computer and transferring it via Apple Airdrop before selling it to Xpeng for financial gain. Airdrop is a complicated method to trace because it uses Transport Layer Security (TLS) encryption. Cao, for his part, maintains that he did download some of Autopilot’s source code to his personal computer, but he argued that he deleted it before leaving Tesla to join Xpeng.
Unfortunately for the Chinese EV startup, Tesla’s Autopilot source lawsuit is turning ugly. The most recent developments in the lawsuit state that Xpeng is claiming Tesla’s requests are “stereotypical” after the company demanded information from an ex-employee of Apple. Just like Cao, the ex-Apple employee left his job for Xpeng and was criminally charged with providing information to the Chinese automaker, Automotive News stated.
“Tesla’s latest demands crossed the line, seeking to rummage through our IP on Tesla’s terms — and smearing us along the way with misrepresentations and innuendo,” a spokesperson from Xpeng’s U.S. affiliate, XMotors, said. “Tesla’s overreach and distortions confirm this is just a fishing expedition meant to bully and disrupt a young competitor.”
Interestingly enough, Xpeng executives have been vocal supporters of Tesla in the past. President and Vice Chairman of Xpeng, Brian Gu, has passed along compliments to Tesla, comparing them to technology giant Apple. “Tesla reminds me of Apple. It educated the high-end market for China, but it also spurred a lot of competitive, diverse brands like Xiaomi and Huawei to come up with really cool and affordable products,” Gu said.
Additionally, CEO He Xiaopeng stated that the company probably would not exist if Tesla didn’t release 200 patents to the public a few years ago. One of the reasons Xpeng was founded was because Elon Musk made Tesla’s patents available. It was so exciting,” he said. However, these patents did not include any Autopilot coding, which is instrumental in Tesla’s lead in the autonomous vehicle industry.
Xpeng’s full press release is available here.
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”
