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Tesla top 5: Week in review, February 4

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Tesla Model S real-world safety demonstrated after violent rear-end collision

Model S rear end collision

A Reddit user recently posted photos of a Tesla Model S that had a rear-end collision with a Volvo truck. The post concurred with an Insurance Institute of Highway Safety crash test result for the Tesla Model S in which it earned only an “acceptable” rating on its rear crash test. To look at the Reddit photo, one might think that the Tesla Model S does quite well. With a curb weight of 4,647 pounds, the Model S has mass that helped it stand up to a 10-ton truck. The 1,200-lb. flat battery pack strapped to the frame likely was a positive factor, as it reinforces the structural integrity of the vehicle. The Reddit post’s author reported that the driver of the Model S walked away from the collision safe and believes the Tesla saved his life.

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Welcome to Tesla, Inc.: We’re more than just electric cars

Tesla announced a corporate name change this week from “Tesla Motors” to “Tesla.” At the time of the company’s founding, the company was positioned as an alternative automobile company. Now, over a decade later, much has changed. With the revised moniker, Tesla confers a broader range of products and services, so that its market reach is much more extensive. Whether it is solar roof tiles, residential and commercial battery systems, or future endeavors such as semi-trucks, electric buses, ride sharing, and tunnel boring, the name Tesla speaks to the company’s overarching goals of clean energy efforts. Musk has repeated how his company will “create stunning solar roofs with seamlessly integrated battery storage, expand the electric vehicle product line to address all major segments, develop a self-driving capability that is 10X safer than manual via massive fleet learning, [and] enable your car to make money for you when you aren’t using it.” The name change now represents that social justice sustainability mission.

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Tesla will release 4Q and ’16 full year financial result on February 22

Tesla has announced that on February 22, 2017, it will release Q4 2016 and full year 2016 financial results. First, Tesla will issue a brief advisory, which will include a link to the Q4 as well as a full year 2016 update letter. Each will be posted on the Tesla IR website. To accompany those data releases, the Tesla management will hold a live question and answer webcast that day, scheduled at this writing for 2:30 p.m. Pacific Time (5:30pm Eastern Time). Topics will include the company’s 2016 financial and business results and 2017+ outlook.

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Tesla Model S crash test result misses top safety rating by IIHS

The Tesla Model S large luxury sedan earned good ratings in all Insurance Institute for Highway Safety (IIHS) “crashworthiness evaluations” except one: the challenging small overlap front crash test. In that evaluation, it earned just an acceptable rating. Even through Tesla had lengthened the side curtain airbags to improve small Model S overlap protection, it confronted testing issues when the safety belt allowed the dummy’s torso to move too far forward. The results indicated that duplicated real-world injuries would be “possible.” The ratings for the Model S apply to 2016 and 2017 cars built after October 2016. Tesla did make a production change on Jan. 23, 2017 to address the head-contact problem, so IIHS has said they will test the updated vehicle for small overlap protection.

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Tesla Gigafactory in Lithuania reimagined within Minecraft game

Tesla’s mission to accelerate the world’s transition to sustainable energy requires production of lithium ion batteries to power their electric vehicles. The Tesla Gigafactory in Nevada began construction on November 4, 2014 and is expected to begin battery cell production by the end of this year. Even before that target production goal, however, Tesla is surveying European locations for a second Gigafactory. Lithuania would like to be chosen as that illustrious manufacturing site, so, to persuade Tesla it is the right fit, a team of Minecraft designers spent two days building a virtual model of Tesla’s Gigafactory. They envisioned Kruonis, Lithuania as the ideal spot for construction due to its “free economic zone, close to two international airports, within close radius of 1.3 million inhabitants.” Sustainable energy sources such as wind power were noted as a perk. Teams from several other European nations are also pitching their concepts to Tesla in the hopes that the next Gigafactory, with its associated job creation, will be in their neighborhoods.

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Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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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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Elon Musk

Tesla’s Elon Musk gives timeframe for FSD’s release in UAE

Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year. 

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Tesla CEO Elon Musk stated on Monday that Full Self-Driving (Supervised) could launch in the United Arab Emirates (UAE) as soon as January 2026. 

Provided that Musk’s timeframe proves accurate, FSD would be able to start saturating the Middle East, starting with the UAE, next year. 

Musk’s estimate

In a post on X, UAE-based political analyst Ahmed Sharif Al Amiri asked Musk when FSD would arrive in the country, quoting an earlier post where the CEO encouraged users to try out FSD for themselves. Musk responded directly to the analyst’s inquiry. 

“Hopefully, next month,” Musk wrote. The exchange attracted a lot of attention, with numerous X users sharing their excitement at the idea of FSD being brought to a new country. FSD (Supervised), after all, would likely allow hands-off highway driving, urban navigation, and parking under driver oversight in traffic-heavy cities such as Dubai and Abu Dhabi.

Musk’s comments about FSD’s arrival in the UAE were posted following his visit to the Middle Eastern country. Over the weekend, images were shared online of Musk meeting with UAE Defense Minister, Deputy Prime Minister, and Dubai Crown Prince HH Sheikh Hamdan bin Mohammed. Musk also posted a supportive message about the country, posting “UAE rocks!” on X.

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FSD recognition

FSD has been getting quite a lot of support from foreign media outlets. FSD (Supervised) earned high marks from Germany’s largest car magazine, Auto Bild, during a test in Berlin’s challenging urban environment. The demonstration highlighted the system’s ability to handle dense traffic, construction sites, pedestrian crossings, and narrow streets with smooth, confident decision-making.

Journalist Robin Hornig was particularly struck by FSD’s superior perception and tireless attention, stating: “Tesla FSD Supervised sees more than I do. It doesn’t get distracted and never gets tired. I like to think I’m a good driver, but I can’t match this system’s all-around vision. It’s at its best when both work together: my experience and the Tesla’s constant attention.” Only one intervention was needed when the system misread a route, showcasing its maturity while relying on vision-only sensors and over-the-air learning.

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