News
Tesla vs ICE: Used EV prices rose 5X more than combustion-powered cars in July
A recent analysis from automotive search engine service iSeeCars has determined that used EV prices have risen five times more than their combustion-powered counterparts in July. During the month, electric vehicle prices saw an increase of 54.3% year-over-year, while gas-powered cars were up just 10.1%.
According to iSeeCars Executive Analyst Karl Brauer, the rising costs of used electric vehicles in the market shows that the demand for second-hand sustainable cars is soaring.
“Until recently, mainstream electric vehicles typically depreciated rapidly due to improvements in battery technology and a lack of demand in the secondary market. However, soaring gas prices, improvements in public charging infrastructure, and a lack of inventory for new EVs have led to soaring demand for used electric vehicles,” Brauer said.

The firm’s analysis involved the costs of over 13.8 million 1-5-year-old used vehicles that were sold between January and July of 2021 and 2022. The gap between used EV prices and used ICE car prices has only gotten more prominent this year. In January, for example, second-hand conventional fuel vehicles saw a 36.3% rise in cost, which was not too far from the 54.1% exhibited by used electric cars. This gap has grown significantly over the past two months.
This was quite evident with vehicles like the Nissan LEAF, which saw a 45.0% price increase year-over-year in July 2022. Another affordable electric car, the Chevrolet Bolt EV, saw a price increase of 29.3% in the same month, which was also quite substantial.
“The price increase for the Nissan LEAF, which was once the highest depreciating car on the market, is likely due to heightened gas prices as well as the heightened desirability for the redesigned 2018 model that offers increased range and is now coming off lease to enter the used car market,” Brauer said.

Interestingly enough, Teslas saw a more tempered price increase in the used EV market in July. Used Model Ys only saw a 13.6% price increase YoY, used Model 3 sedans saw a 16.2% increase, and second-hand Model X units saw a 19.7% rise. Only used Model S sedans saw a notable price increase of 27.5%, which may be due to the influx of refreshed variants that were only released last year, like the Model S Plaid.
“Demand for used versions of the Model 3, Model X, and Model Y was high last year before the rise of gas prices because they were relatively scarce in the used car marketplace, which helps explain why they have not had as steep of a yearly price increase,” Brauer added.
Interestingly enough, the Porsche Taycan was the outlier in July 2022, becoming the only electric vehicle that iSeeCars tracked that saw a price decrease in the used EV market. The prices of used Taycan units only decreased by 3.5% year-over-year, though Brauer stated that this might be a hint that car buyers may have an upper limit to what they’re willing to pay for used EVs.
“The Porsche Taycan is the only electric vehicle that has gone down in price compared to last year, perhaps suggesting an upper limit to what consumers are generally willing to pay for used EVs,” he said.
iSeeCars‘ full report can be accessed here.
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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.