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Tesla Top 5 Week in Review: Utah Bans Tesla Sales, Controversy Over Drivers Data, Model 3 Sensors, and More

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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.

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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.

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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.

Read the article here.

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Tesla defends its right to release individual driver data to disprove claims

Model X crash 1

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.

Read the article here.

 

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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.

Read the article here.

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 piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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