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Tesla Top 5 Week in Review: Utah Bans Tesla Sales, Controversy Over Drivers Data, Model 3 Sensors, and More
What a week it was for Tesla! Reaching all-time trading highs was certainly an achievement to celebrate. So, too, was the 2017 Q1 earnings report, in which Tesla excelled in deliveries versus same month, previous year. Teslarati gets the first scoop a Model 3 release candidate in the wild, with reports of new sensors being spotted. Tesla’s company practice of divulging individual driver data became a contested topic, as did the Utah Supreme Court’s decision to prohibit Tesla direct sales to customers. Here are those stories and more on our Teslarati Top 5 Week in Review.
Tesla steamrolls US automakers to become #1 by market cap
Source: Courtesy Yahoo Finance
Tesla, Inc. (TSLA) stock, which had previously traded at $280 in February, achieved its all-time high this week, up from the March 31, 2017 close of market mark of $291.74. Tesla’s performance pushed the company’s market capitalization past that of Ford for the first time ever. Ford’s market capitalization at about $44.8 billion stood just about $3 billion under Tesla’s. Next in line for Tesla is GM’s $51.4 billion market cap. Tesla sold only a fraction of Ford’s 6.7 million cars and GM’s 10 million cars in 2016; both offer investors the comfort of healthy balance sheets and steady profits. However, Tesla investors seem willing to hold out for the company’s future potential for still higher growth ahead. Historical malaise over missed delivery targets may be dissipating.
Tesla delivers a record 25,000 Model S, X in Q1 2017, 69% increase over Q1 2016
With Model S deliveries at 3,450 and Model X deliveries at 11,550, Tesla achieved a new quarterly record to start 2017. Selling just over 25,000 vehicles in Q1 represented a 69% increase over the same month, Q1 2016. Tesla argues that vehicle deliveries symbolize only one measure of the company’s financial performance; quarterly financial results, they say, depend on a variety of factors, including the cost of sales, foreign exchange movements, and mix of directly leased vehicles.
New sensors spotted on Tesla Model 3: Autopilot 2.0 could have 10 cameras
Up until Tuesday, the Model 3 was assumed to have eight cameras: three facing forwards, two in the B-pillar between the front and rear doors, two in the front fenders, and one in the rear by the hatch latch. (Radar and ultrasonic sensors will also provide the computer with contextual data.) The recent sighting indicates that two additional sensors are located by the C-pillars between the rear door and back. This is significant because Tesla CEO Elon Musk has repeatedly stated that the Model 3 design is meant to include autonomous driving. With a dashboard that lacks a speedometer on the driver’s side and, instead, will fade in and out of opacity on the central control screen, the Model 3 technology evolution will be fascinating. Its sensors and cameras will provide crucial data about the vehicle’s surroundings, bringing the future to today.
Tesla defends its right to release individual driver data to disprove claims
Tesla’s company policies about owner privacy has been under scrutiny this week, with accusations that it divulges drivers’ performance information in order to protect its self-driving car technology. Unlike other research institutions, Tesla does not acquire permission from its drivers, who are supplying data about self-driving technology system responses. Moreover, while the company has disseminated specific driver information to the media following crashes, it has refused thus far to share that same data with the drivers. Some accidents involving Tesla all-electric vehicles have involved the Tesla Autopilot system, but in 2016 the U.S. National Highway Traffic Safety Administration cleared Tesla of any wrong-doing in a fatal crash in which Autopilot was engaged.
Tesla loses 5-0 battle in Utah over right to sell direct to consumers
The Utah Supreme Court this week has upheld a previous ruling which prohibits Tesla and other automakers from selling directly to customers. Tesla contested Utah’s claim of manufacturers and dealer owners being one and the same, saying its direct sales to customers distinguish it from independent dealerships. In essence, the Utah Supreme Court justices chose not to address when Utah law does or does not block an automaker from direct sales.
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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.
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.
“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.
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:
- 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.
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.
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
Tesla FSD (Supervised) v14.2.2 starts rolling out
