Tesla is currently being investigated by the National Highway Traffic Safety Administration (NHTSA) after several of its electric cars crashed into stationary emergency vehicles while Autopilot was engaged. The premise of the investigation itself is enough to whet the appetite of every Tesla skeptic since the idea of Autopilot crashing consistently into parked emergency vehicles makes for a compelling narrative. Tesla later released an update, enabling Autopilot to detect and slow down for stationary emergency vehicles. The NHTSA responded by calling out the company for not issuing a recall when it released its proactive over-the-air software update.
What was lost amidst the spread of the Tesla NHTSA investigation story was the fact that the relatively minor Autopilot update, which simply allowed vehicles to slow down when they detect things such as a police car or a firetruck parked on the side of the road, is already saving numerous lives. This is because there is a deadly problem on America’s roads, and it is something that very few seem to be acknowledging. Emergency personnel are dying on the job at a frighteningly frequent basis. They are dying because cars crash into them while they’re parked on the side of the road. And disturbingly enough, very little is being done about it.
The Flaws of HumanPilot
*Author’s Note and Trigger Warning: The succeeding sections of this article contains links to footage and other online references that may cause distress to readers. Discretion is advised.
One thing that truly stuck out while writing this piece was the sheer frequency of the accidents that happen to emergency personnel while they are responding to someone in need. This was despite the fact that all 50 states in the USA have a “Slow Down Move Over (SDMO)” Law in place. The premise of the SDMO law is simple: Upon noticing an emergency vehicle’s sirens or flashing lights on the side of the road, drivers are required to move away from the emergency vehicle by going into the next lane. If that is not possible, drivers must slow down to reduce the chances of an accident happening. The SDMO law is based on a very simple premise, but it is one that gets violated on a consistent basis.
This is partly due to states interpreting the law differently, with some adopting a “Slow Down and Move Over” model while others are following a “Slow Down or Move Over” system. But ultimately, there have been zero fatalities involving a vehicle that actually slowed down and moved over when they spotted a stationary emergency vehicle. This suggests that the law works, provided that it does get followed.
But when the Move Over Law gets violated, the human toll becomes disturbingly real. A report from the Government Accountability Office (GAO) indicates that about 8,000 injuries involving a stationary emergency vehicle have been reported in one year. As of this year alone, a total of 57 emergency responders have been killed while addressing a roadside issue. Posts from the National Struck-By Heroes Facebook group, which highlight the aftermath of Struck-by injuries (SBIs) are heartbreaking, and videos and posts shared by companies whose staff are killed while on the job are harrowing. This is something that was highlighted by James D. Garcia, the creator of the Move Over Law and an SBI survivor, who shared some of his insights with Teslarati.
“This year is the 25th anniversary of the first Slow Down Move Over Law, passed in South Carolina in 1996. Every state in the US has had an SDMO Law since 2012, and yet this year, we have already reached a record 56 responder deaths (This number has since risen to 57 as of this writing). Since 2018, there have been over 45,000 collisions with stationary roadside objects. Every seven seconds, an object is struck. Every other day, a responder is struck and injured. Every five days, a responder is killed.”
“If you ask the general public the most dangerous risk to a police officer, most would say the chance of being shot in pursuit. If you ask the biggest danger to a firefighter, most envision being trapped in a burning or collapsing building. But statistics prove the real story. Across all agencies, responders are twice more likely to die in an SBI than any other category of work-related injury. It is by far the most dangerous aspect of our job,” Garcia noted.
A DIY Solution
Perhaps the most heart-wrenching thing about the whole situation is the fact that SBIs are not even collected, considered, and analyzed formally by an official government agency, despite it being the leading cause of death and permanent injury for public safety and roadway responders. This situation has been so prevalent that James W. Law, a 32-year-veteran in the emergency roadside response industry and a specialist researcher in the Move Over Law, opted to develop a light sequence he fondly dubs as “E-Modes” to help drivers inform other vehicles that a parked emergency vehicle is nearby. Simply put, the problem of drivers not following SDMO laws is so real and deadly that emergency responders are DIY-ing a solution themselves — because they cannot count on anyone else.
Responding to roadside problems on America’s roads for the past 32 years is no joke, and over this time, Law has encountered the worst drivers possible. Law shared with Teslarati that over the course of his career, he has been personally involved in an accident four times, the first of which happened when he was just 18 years old. In what could very well prove the point that humans are bad drivers, one of Law’s experiences actually involved a driver intentionally crashing into him because he felt upset that traffic was disrupted due to an incident. Law’s legs broke the irate driver’s headlights because of the crash, and the driver wanted to accuse the roadside responder of damaging his car. The police were fortunately reasonable, and Law was not charged. The irate driver, on the other hand, received a $500 ticket for using his vehicle as a weapon.
Speaking with Teslarati, Law admitted that he is a pretty notable Tesla supporter, and he tried his best to emulate CEO Elon Musk’s first principles thinking when he developed E-modes’ custom light sequence. He aims to donate the light sequence protocols he developed to Tesla, partly due to the fact that the company is really the only carmaker out there that seems to be actively doing something to address the deadly issue plaguing emergency roadside personnel today. This became quite evident when the company updated its vehicles to detect and respond to traffic cones on the road. This small update, Law noted, may seem minor — even marginal — to the layman, but for roadside personnel, it was a godsend.
“Tesla’s traffic cone recognition is a crucial safety feature that I take full advantage of on any and all incidents. Properly setting up cones to define the ‘Kill Zone’ offers a quick way to communicate directly to any Tesla vehicle. Unlike humans, Tesla Vision is always aware. It’s one of the ways I communicate with oncoming Teslas. If Elon adopts E-Modes, a Tesla could communicate back to me that it is situation-aware. As a safety advocate, I strongly insist that every emergency responders use cones on every scene every time because it’s the right thing to do to protect everyone,” Law said.
The Lone Problem Solver
Inasmuch as the mainstream media coverage of the NHTSA’s probe on Autopilot’s incidents with emergency vehicles is substantial, the fact is that Tesla only accounted for nine crash injuries with first responder vehicles in the past 12 months. That’s a tiny fraction of the ~8,000 injuries the GAO indicated in its report. The company has also steadily rolled out features to make its vehicles safer. With every update of Autopilot and FSD, features like traffic cone recognition get more refined, and the more refined they get, the more emergency responders they protect. Tesla’s recent Autopilot update, which allows vehicles to slow down when they detect a parked emergency vehicle, is further proof of this.
Law noted that he had been involved in thousands of close calls in his 32-year career, but the one that truly stuck out to him involved a Tesla driver from late 2019, just after the company rolled out Autopilot’s capability to recognize and avoid traffic cones. While he was defining a “Kill Zone” on the road after responding to an incident, he saw an approaching Tesla whose driver appeared to be looking down and not paying attention to the road. Law was unsure if the Tesla was on Autopilot, but the vehicle moved over to the other lane seemingly as soon as it detected the traffic cones that he set up. The veteran emergency responder noted that the Tesla driver seemed surprised as the electric vehicle avoided the cones on its own.
Such an incident, ultimately, is what makes Tesla stand apart, at least for now. It may be an inconvenient truth, especially to those who salivate at the thought of FSD or Autopilot going berserk and hunting down emergency responders, but the fact remains that Tesla is doing far more to protect both its drivers and other people on the road than any other carmaker out there. Emergency responder deaths are preventable, and as the creator of the Move Over Law noted, the lion’s share of these incidents is due to human error. It is this human error that technologies such as Autopilot and FSD are trying to solve, NHTSA probe notwithstanding.
“Ninety percent of all struck-by deaths are a direct result of poor driver behavior. That means that nine out of ten responder deaths could have been prevented if the driver had maintained control of their vehicle at a reasonable speed and reacted in a considerate and attentive manner. Twenty-three percent of lethal struck-by violators were impaired. Five percent were distracted, and another three percent were drowsy. It is important we continue to support efforts to reduce drunk driving and speak out about the rapid rise of distracted driving resulting in responder deaths. Multiple agencies have ongoing PR campaigns to address these aspects, but none are taking on the most dominant category — angry, aggressive, entitled, and selfish drivers.
“The remaining 69% of drivers that crashed into and killed a responder were completely sober. They saw the lights, they recognized the situation, yet they still felt the need to speed up and pass just a few more cars before they moved over. They were in too big of a hurry to slow down to a controllable speed and killed a responder. These drivers consciously made an intentional personal decision to carelessly disregard the life of a responder. Self-absorbed drivers have become the norm. Stronger laws, higher fines, bigger signs, and brighter lights have no effect once they get behind the wheel. We need to face this reality and develop a strategy that confronts this disregard. We must reinforce the value of a responder’s life over whatever current personal priorities are influencing these drivers’ behavior,” Garcia noted.
A (Potentially) Safer Future
One can only hope that agencies such as the NHTSA could see the bigger picture with regards to vehicles and the advantages of technologies such as Autopilot and Full Self-Driving. It takes an immense amount of short-sightedness, after all, to remain fixated on whether a recall was filed for a proactive Autopilot update, or on 11 incidents that involved a Tesla crashing into a stationary emergency vehicle, all while one emergency personnel is killed every five days. Focusing on Tesla and ignoring the larger problem at hand seems counter-productive at best.
In an ideal scenario, technologies such as Autopilot’s capability to identify, slow down, and potentially even move over to another lane when an emergency vehicle is detected would become mandatory for all cars on the road. As noted by esteemed auto teardown expert Sandy Munro, advanced driver-assist systems such as Autopilot and FSD have the potential to save lives on the same level as seatbelts, perhaps even more. And in this light, John Gardella, a shareholder at CMBG3 Law in Boston, MA, told Teslarati that if the NHTSA really wishes to help roll out new safety features, it would actually be a lot easier than one might imagine.
“Implementing the safety feature in Tesla’s vehicles will be easier than one might imagine. The National Highway Traffic Safety Administration (NHTSA) showed earlier in 2021 through its final rule for safety features for automated driving systems that it does not wish to set onerous standards prior to many features for automated driving system (ADS) vehicles coming to market. In fact, the desire of the NHTSA was to reduce barriers to having ADS safety features come to market more rapidly, and thereby accelerate autonomous vehicles coming to mass markets. The NHTSA received some criticism for its approach. However, the NHTSA does still have the authority to interpret the Federal Motor Vehicle Safety Standards (FMVSS), investigate perceived defects or unreasonably safe vehicle features, and carry out its enforcement authority, including recall power,” Gardella said.
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News
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
Cybertruck
Tesla Cybertruck is officially the safest pickup, IIHS says
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.

Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.