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Tesla Autopilot’s emergency vehicle response feature is addressing a deadly problem no one wants to talk about

(Credit: James W Law, Andres GE)

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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.

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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. 

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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. 

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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. 

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“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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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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Investor's Corner

Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst

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Credit: Tesla China

Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.

On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.

However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.

He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.

The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.

Instead, they have asked for a full-size SUV from Tesla.

Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck

Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.

TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.

Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.

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Elon Musk

Tesla Hardware 3 owners could be made whole this month

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

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Elon Musk

SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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