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Tesla Model S hailed as fastest-selling 2nd hand electric car in the US

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The Tesla Model S has been dubbed as the fastest-selling all-electric car in the United States’ second-hand car market from January to July this year. The full-sized premium sedan was given the distinction by automotive research firm iSeeCars.com, which aggregates second-hand auto listings across the country.

For its recent study, the auto research firm analyzed more than 4 million 1-3-year-old cars that were sold from January to July 2018. The firm noted in a report that overall, late-model vehicles usually take an average of 46.4 days before they are sold. iSeeCars.com CEO Phong Ly pointed out that cars which take longer to sell on the second-hand market usually signify that supply exceeds demand, while vehicles that are sold quickly usually connote that supply is lower than demand.

“It’s important to know how long vehicles stay on dealer lots because slower-moving cars can present negotiation opportunities for consumers. Cars that remain on market for longer than average indicate that supply is higher than demand, which could mean the pricing is too high or that the car isn’t as well-liked as its competitors,” Ly noted.

Among the United States’ available all-electric vehicles, the Tesla Model S stands as the fastest-selling used car from January to July. The all-electric car, which is designed by the company to be a vehicle that exceeds fossil fuel-powered competitors, spent an average of 32.4 days on used car dealer lots before getting sold. The iSeeCars.com CEO notes that such findings are primarily due to the Model S’ dominance in the premium all-electric car segment.

“The Model S is currently the only all-electric luxury car available, and its demand outstrips supply leading to scarcity in the used-car marketplace. Those who purchase a new model have to wait at least a month for delivery while there is no wait time for a used version,” Ly noted.

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The Tesla Model S ranked as the second-fastest-selling used passenger car in the United States overall as well, directly behind the Toyota Prius C, an affordable hybrid vehicle that’s smaller than the full-sized Toyota Prius. The Prius C takes an average of 29.6 days before it is sold on second-hand dealer lots.

The findings of iSeeCars.com‘s study are in line with the results of another survey conducted by car-shopping platform Autolist.com last year. The results of Autolist.com‘s study concluded that used Tesla Model S sell 5% quicker than other luxury sedans from competing automakers such as the Audi A7, the Porsche Panamera, the BMW 6 Series, the Mercedes-Benz CLS, and even the Lexus LS 460. This was despite the average listing price of second-hand Model S being roughly 3% to 5% higher than comparable vehicles. 

Tesla workers welcome the Model S. [Credit: jurvetson/Flickr]

The number of the company’s electric cars on US roads is bound to increase, particularly since Tesla is now optimizing the production of the Model 3. With this, the second-hand market for the company’s electric cars would likely exhibit some growth. The impending rise in the number of Teslas on the road has been teased by Elon Musk in a letter to employees, where he noted that the company is “about to have the most amazing quarter in (its) history, building and delivering more than twice as many cars as (it) did last quarter.”

Considering that Tesla delivered a total of 40,740 vehicles and produced a total of 53,339 electric cars in Q2 2018, Elon Musk’s statement in his letter appears to be quite ambitious. That being said, Tesla board member Kimbal Musk noted during a recent segment on CNBC’s Closing Bell that this month would be pretty exciting for the company.

“This month is an exciting month for us. You know, it’s really gonna blow people’s minds how many Model 3s are gonna appear in America in just the next couple of weeks,” he said.

Watch Kimbal Musk’s discuss Elon Musk and the Model 3 in CNBC’s Closing Bell in the video below.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.

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Credit: xAI

The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil. 

The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.

xAI Integration

As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.

“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release. 

Strategic advantages

The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.

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“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.

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Tesla FSD (Supervised) v14.2.2 starts rolling out

The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

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Credit: Grok Imagine

Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.

Key FSD v14.2.2 improvements

As noted by Not a Tesla App, 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 let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.

Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.

FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.  

Key FSD v14.2.2 release notes

Full Self-Driving (Supervised) v14.2.2 includes:

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  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
  • Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
  • Camera visibility can lead to increased attention monitoring sensitivity. 

Upcoming Improvements:

  • Overall smoothness and sentience.
  • Parking spot selection and parking quality.
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Tesla is not sparing any expense in ensuring the Cybercab is safe

Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.

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Credit: @JoeTegtmeyer/X

The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility. 

Intensive crash tests

As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays. 

Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads. 

Prioritizing safety

With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.

Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.

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