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Tesla reportedly dropped by NTSB from fatal Model X investigation [Updated]

The aftermath of a fatal Tesla Model X accident. [Credit: Mercury News/Twitter]

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Tesla has opted to step back from the ongoing NTSB investigation into the fatal Model X accident last month near Mountain View, CA.

According to Tesla, it has decided to withdraw from its party agreement with the NTSB because it might result in withholding information that affects public safety. In an emailed statement to Bloomberg, the Elon Musk-led electric car maker stated that it believes in transparency.

“Tesla withdrew from the party agreement with the NTSB because it requires that we not release information about Autopilot to the public, a requirement which we believe fundamentally affects public safety negatively. We believe in transparency, so an agreement that prevents public release of information for over a year is unacceptable,” Tesla stated.

Despite not being a formal part of the ongoing NTSB investigation, Tesla stated that it would continue to provide technical assistance to the agency as it continues its probe into the tragic accident.

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Citing a person familiar with the matter, Bloomberg stated that the NTSB is actually removing Tesla from the investigation. Quite unlike the “very constructive conversation” reported by an NTSB spokesman last weekend between Tesla CEO Elon Musk and NTSB Chief Robert Sumwalt, the anonymous Bloomberg source stated that the talk involved Sumwalt informing Musk that his company was being taken off the investigation. The source further claimed that the conversation between Musk and the NTSB chief was “tense” due to the Tesla CEO’s reaction to the agency’s decision. 

Tesla’s decision to release information related to the NTSB’s ongoing probe resulted in the agency stating that it was “unhappy” with the electric car maker. Responding to the NTSB, Musk stated on Twitter that Tesla will immediately release information that can directly affect public safety.

“Lot of respect for NTSB, but NHTSA regulates cars, not NTSB, which is an advisory body. Tesla releases critical crash data affecting public safety immediately & always will. To do otherwise would be unsafe,” Musk tweeted.

Updated: Tesla has issued the following response to a statement made by the NTSB.

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“Last week, in a conversation with the NTSB, we were told that if we made additional statements before their 12-24 month investigative process is complete, we would no longer be a party to the investigation agreement. On Tuesday, we chose to withdraw from the agreement and issued a statement to correct misleading claims that had been made about Autopilot — claims which made it seem as though Autopilot creates safety problems when the opposite is true. In the US, there is one automotive fatality every 86 million miles across all vehicles. For Tesla, there is one fatality, including known pedestrian fatalities, every 320 million miles in vehicles equipped with Autopilot hardware. If you are driving a Tesla equipped with Autopilot hardware, you are 3.7 times less likely to be involved in a fatal accident and this continues to improve.

It’s been clear in our conversations with the NTSB that they’re more concerned with press headlines than actually promoting safety. Among other things, they repeatedly released partial bits of incomplete information to the media in violation of their own rules, at the same time that they were trying to prevent us from telling all the facts. We don’t believe this is right and we will be making an official complaint to Congress. We will also be issuing a Freedom Of Information Act request to understand the reasoning behind their focus on the safest cars in America while they ignore the cars that are the least safe. Perhaps there is a sound rationale for this, but we cannot imagine what that could possibly be.

Something the public may not be aware of is that the NTSB is not a regulatory body, it is an advisory body. The regulatory body for the automotive industry in the US is the National Highway Traffic Safety Administration (NHTSA) with whom we have a strong and positive relationship. After doing a comprehensive study, NHTSA found that even the early version of Tesla Autopilot resulted in 40% fewer crashes. Autopilot has improved substantially since then.

When tested by NHTSA, Model S and Model X each received five stars not only overall but in every sub-category. This was the only time an SUV had ever scored that well. Moreover, of all the cars that NHTSA has ever tested, Model S and Model X scored as the two cars with the lowest probability of injury. There is no company that cares more about safety and the evidence speaks for itself.”

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Just recently, the wife of the ill-fated Model X driver has gone on local news agency ABC7 News to state that her husband had complained about Autopilot multiple times before the March 23 accident. According to Mike Fong, the Huang family’s lawyer, the collision would not have happened had Autopilot not been activated. Fong noted that he would not file a complaint against Tesla while the NTSB investigation is ongoing, though he did state that the carmaker’s responses so far have been to blame the Model X’s driver.

While Tesla could be facing a lawsuit from the Huang family over the fatal incident, Will Huang, the Model X driver’s brother, previously stated to ABC7 News that his brother could have survived the accident had his car collided with a working crash attenuator. During its initial update about the fatal collision, Tesla stated that the crash attenuator that the Model X smashed into had been left unrepaired, causing extensive damage to the vehicle.

“That (the crash attenuator) ultimately should’ve saved my brother’s life. We’ve seen videos of similar crash(es) with cushion, and the driver walked out of it unharmed,” Will said.

Later statements from CalTrans eventually revealed that the highway safety device had been damaged from a collision 11 days before the Model X accident. According to CalTrans, crash attenuators are usually repaired in 7 days or 5 business days, but storms in the area prevented any repair work.

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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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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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