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The Tesla Autopilot Excuse: How EV ignorance created the perfect storm for a misinformation nightmare

Credit: Tesla

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It was only a few hours after the accident and a bold statement was already making its rounds in the mainstream media. Another Tesla has crashed, and this time, it took the lives of two individuals from Texas. Facing inquiries from journalists eager for some clarity as to what happened in the tragic incident, Harris County Pct. 4 Constable Mark Herman shared a surprisingly confident and bold statement: there was no one in the ill-fated Model S’ driver seat when it crashed. 

“They are 100% certain that no one was in the driver seat driving that vehicle at the time of impact. They are positive. And again, the height from the back seat to the front seat, that would be almost impossible, but again our investigators are trained. They handle collisions. Several of our folks are reconstructionists, but they feel very confident just with the positioning of the bodies after the impact that there was no one driving that vehicle,” Herman said, also noting that the electric car’s fire was out of control for four hours. 

This statement, as well as the headlines that followed it, have since been proven false. And today, they stand as a remarkable case study on how misinformation spreads, and how the truth — even if it eventually emerges from legitimate sources — becomes largely ignored. This is the story of a Model S crash, rushed statements, and how general ignorance of electric vehicles could result in a massive misinformation nightmare. 

But to get a complete view of this story, one has to go back to that fateful night on April 17, 2021, when two men, a 59-year-old Tesla owner and his 69-year-old passenger, crashed after traveling just about 550 feet, before departing the road on a curve, driving over a curb, hitting a drainage culvert and a raised manhole, and smashing into a tree. The vehicle was ablaze following its crash.

The location where the accident happened. (Credit: NTSB)

The Accident

As it is with other Tesla crashes, the Model S crash in Texas immediately caught the attention of national media. It did not take long before even foreign outlets were running with the story. It was during this initial wave of media attention that Constable Mark Herman noted that investigators were 100% sure that there was no one driving the car when it crashed. This statement was gold to numerous media outlets, with some like the New York Post posting a tweet noting that the ill-fated Tesla was on Autopilot. It’s pertinent to note that the Constable never mentioned Autopilot, though his statement declaring that there was no one in the driver’s seat seemed like a strong enough link to the driver-assist suite. 

Soon, even organizations such as Consumer Reports joined the fray, graciously demonstrating that Autopilot could indeed be “fooled” into operating without a human in the driver’s seat. Consumer Reports‘ walkthrough was thorough, showing audiences exactly what needs to be done to defeat Autopilot’s safety measures. This stunt caught the eye of both national and international media as well, and by this time, the narrative was set: Teslas can drive themselves without a driver, and Autopilot could kill. It’s a chilling thought, but it is one that seemed to be casually supported by Ford CEO Jim Farley, who shared Consumer Reports‘ Autopilot defeat device walkthrough on his personal Twitter page. 

This does not mean to say the narrative surrounding the fatal Model S crash in Texas was ironclad, however. Just days after the initial crash, Palmer Buck, fire chief for The Woodlands Township Fire Department, told the Houston Chronicle that contrary to some reports in the media, the ill-fated Model S was not ablaze for four hours. The fire chief also stated that firefighters did not call Tesla for help, and he was unaware of any hotlines for tips on how to control a battery fire. 

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Opinion: Consumer Reports’ Tesla Autopilot stunt crossed a line in an already-heated EV climate

The First Cracks — And A Persistent Misunderstanding

Interestingly enough, even Constable Herman himself seemed less sure about his information later on, noting in a statement to Reuters that his investigators were “almost 99.9% sure” that there was no one in the driver’s seat of the ill-fated car. This was despite Herman noting that they had executed a search warrant on Tesla to secure data about the tragic incident. Meanwhile, Elon Musk went on Twitter to state that data logs so far showed that the ill-fated vehicle was not on Autopilot when it crashed. 

Tesla’s online community took it upon themselves to make sense of the situation, which seemed to have red flags all over the place. The Constable’s statements seemed premature at best, and reports about the vehicle’s fire had been proven false by the fire chief. Couple this with Elon Musk noting that Autopilot was not involved, and it was no surprise that the crash became a topic for analysis and conversations among Tesla supporters. These efforts, however, were largely dismissed if not mocked, with media outlets such as VICE stating that the behavior of the Tesla sleuths was akin to those who believe in conspiracy theories.

“Rather than waiting for the two different federal authorities investigating the crash to publish their findings, some Tesla owners are engaging in the classic behavior of conspiracy theorists and amateur internet sleuths in an apparent attempt to cast doubt on even the most basic facts surrounding the crash,” the publication noted. 

More cracks about the initial “Autopilot crash” narrative emerged during the company’s Q1 2021 earnings call. Lars Moravy, Tesla’s vice president of vehicle engineering, stated that the company had conducted tests with investigators, and they have determined that Autosteer could not be engaged in the area. He also stated that judging by the distance of the vehicle from the owner’s home to the crash site, the Model S would have only accelerated to 30 mph before covering the entire 550-foot distance using Adaptive Cruise Control. This is undoubtedly a clarification about the incident, but like many things in this story, this was also misunderstood. 

Not long after Tesla’s Q1 2021 earnings call, CBS published a piece titled “At Least One Tesla Autopilot Feature Was Active During Texas Crash That Killed 2.” It’s definitely a catchy headline and one that was sure to draw a decent amount of eyes. There was only one problem: the whole premise of the article was false. To add salt to the wound, Texas Rep. Kevin Brady shared the CBS piece on Twitter, noting that “Despite early claims by (Tesla and Elon Musk), Autopilot WAS engaged in (the) tragic crash in The Woodlands. We need answers.” 

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A Grassroots Movement

In a world where misinformation is prevalent from media outlets that may or may not be incentivized to publish reports that are completely accurate, citizen journalism has the potential to become the voice of reason. And in the case of the Tesla Texas crash, this was certainly the case. After conversations with sources, some of whom have opted to remain anonymous, Teslarati could surmise that it was the efforts of regular people, from electric vehicle advocates and space enthusiasts who were inspired by Elon Musk’s SpaceX, that may have ultimately helped get the right information about the incident to the right place. 

Days after the incident, and a few weeks before the release of the National Transportation Safety Board (NTSB) preliminary report, @GoGundam1, a Texas-based SpaceX advocate, felt alarm bells in his head after Constable Herman declared confidently that he was 100% sure there was no one in the driver’s seat of the ill-fated Model S. Having been familiar with Elon Musk’s companies, the SpaceX enthusiast was also knowledgeable about Tesla and its products, which made the Constable’s statements seem disingenuous at best. Annoyed by the noticeably false narrative that was being formed, the space advocate sent out some feelers to test out the waters. 

The story that emerged was quite remarkable. Information gathered by citizen informants suggested that by April 22, Constable Herman’s office was already in possession of video evidence that was in direct contradiction to the narrative that was initially presented to the media. It was a disturbing thought, but informants also suggested that the office of the Constable had intentions to sit on the information for as long as possible. Granted, these events may seem like they came from the plot of a semi-decent movie, but considering the relative silence from the Constable following his statements of a search warrant being submitted to Tesla, it does seem like the motivations for a follow-up report clarifying the incident were not really there. 

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Pertinent information about the Tesla Texas crash, no matter how valuable, would be next to useless if it did not catch the attention of the right entities. And thus, with the information gathered, the SpaceX enthusiast decided to reach out to members of the Tesla community for help. It was a challenging task, but eventually, @LordPente, a longtime Tesla advocate, decided to lend a hand. After numerous messages to other members of the Tesla community, the longtime EV advocate appeared to hit a breakthrough by (seemingly) reaching someone at Tesla. The SpaceX enthusiast, for his part, failed to get in touch with Tesla but was able to send a report to the NTSB, tipping off the agency about the additional video evidence in the Constable’s office. 

During Teslarati’s conversation with the informant and the Tesla advocate, both noted that they were not really sure if their information reached the right entities. However, something happened not long after which suggested that it did. 

The remains of the ill-fated Tesla Model S (Credit: NTSB)

The Lie Unravels

On May 10, 2021, the National Transportation Safety Board (NTSB) published its preliminary report about the Tesla Model S’ fatal Texas crash. As per the NTSB’s report, “footage from the owner’s home security camera shows the owner entering the car’s driver’s seat and the passenger entering the front passenger seat.” Apart from this, the NTSB also noted that tests of a similar vehicle at the crash location showed that Autopilot could not be engaged in the area, just as Tesla and the electric vehicle community suggested amidst the initial wave of “Autopilot crash” reports. The investigation is ongoing, of course, but based on what the NTSB has published so far, it appears that Autopilot has been absolved in the incident. 

The findings presented in the NTSB’s report all but confirmed what Elon Musk and Tesla supporters were arguing online. It may be disappointing to media outlets like VICE, but as it turned out, the conspiracy theorist-like behavior exhibited by some Tesla sleuths online turned out to be justified. There really was misinformation being floated around, and if it wasn’t for the efforts of a few individuals, pertinent information about the incident might not have been submitted to Tesla or the NTSB on time. 

Interestingly enough, Harris County Pct. 4 Constable Mark Herman has remained silent for now. Teslarati has attempted to reach out to his office through email but was unsuccessful. The Constable, at least for now, seems yet to issue a correction or retraction of his initial and now-debunked statements about the incident. Individuals such as Texas Rep. Kevin Brady have not admitted to making a mistake either. 

How Misinformation Becomes Truth

Tesla, being a rather unorthodox company led by an equally unorthodox man, tends to fall victim to misinformation — lots and lots of it. The story of the Texas crash is a great example, but it is one drop in a whole bucket full of inaccurate reports about the company. Tesla CEO Elon Musk has seemingly thrown the towel with mainstream media coverage, reportedly abolishing Tesla’s PR department last year. This, of course, has pretty much opened the doors to even more misinformation — and to a point, even disinformation — which, in turn, becomes the general public’s truth. 

For professional insights on how misinformation becomes accepted, Teslarati reached out to Stephen Benning, a Professor of Psychology at the University of Las Vegas. Professor Benning explained that humans tend to have an anchoring bias, in which the first information used to make a judgment influences it. While anchoring bias is typically considered in numerical judgments (like estimates on how much something is worth), it could also play out when people hear the first reports of what happened. This is most notable if the event were memorable, like a fatal Tesla crash. The initial information would likely stick on people’s minds and create an initial framework that sets their beliefs about an event. 

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“Because initial reports set people’s prior beliefs, additional information has to weigh against established beliefs. People might have additional biases at play, like the confirmation bias that filters out information that isn’t consistent with a previous set of beliefs. It’s as if people put up filters to help themselves maintain the consistency of their beliefs at the expense of their potential correspondence with reality. The initial crash reports were also likely more vivid than the drier details of the subsequent investigation, so the availability heuristic might make those initial reports more vivid and accessible in people’s memories when they think about the crash – even if they’ve followed the subsequent reports,” he wrote. 

Tesla owner apologizes for staging “brake failure” incident in China

Emma Frances Bloomfield (Ph.D.), currently an Assistant Professor of Communication Studies at the University of Nevada, Las Vegas with an expertise in strategies for combatting misinformation, explained to Teslarati that ultimately, misinformation and disinformation travel very quickly because they tend to be compelling and engaging, all while confirming an audience’s biases. This made the Texas crash a perfect storm of sorts, as it had a compelling event that catered to biases against Tesla and its Autopilot system. Unfortunately, Assistant Professor Bloomfield also highlighted that once misinformation sets in, it takes a ton of effort to overturn. 

“To address misinformation, people can create more complete stories that replace the incorrect one, provide trustworthy authority figures to deliver the message, and not repeat the false information when making the correction. You can also emphasize the importance of accurate information to make the best decisions moving forward and highlight how those changes might benefit the audience/consumer. We also say, ‘correct early and correct often’ to try and get ahead of the temporal advantage misinformation has and to counter the repetition of the false information,” she wrote. 

A Battle That Tesla Doesn’t Need To Lose

If there is something highlighted by Professor Benning and Assistant Professor Bloomfield, it is that misinformation is hard to battle once it’s settled in. And for a lie to settle in, it has to be repeated. The Texas crash demonstrated this. It didn’t start with a lie, but it started with a premature, careless statement that could be easily twisted into one.

The Constable’s certainty that there was no one in the driver’s seat was premature at best, and reports about the incident being an Autopilot crash were also premature then, or a lie at worst. Reports about an uncontrollable blaze burning for four hours were false as well. Yet the narrative was so hammered down and unchallenged that even when the NTSB preliminary report came out, the needle barely moved. 

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Elon Musk’s reservations about maintaining a relationship with the media are understandable. Years of inaccurate reports tend to do that to a person. However, Tesla could also adopt a much more assertive anti-misinformation strategy. Tesla China has been doing this as of late, to great results. Anyone following the Tesla China story would know that the company was embroiled in a PR storm that involved alleged reports of “brake failure” incidents surrounding the company’s vehicles. But after an assertive legal campaign from Tesla China, media outlets have issued apologies for misreporting on the company and social media personalities have admitted to making up alleged incidents that painted the company’s vehicles in a negative light. Granted, such strategies may not be as effective in the United States, but something has to be done. What this something is remains up for question. 

Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.

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 ships ‘spooky’ Halloween Mode with creepy and fun features

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Credit: Tesla

Tesla is now starting to ship a “Halloween Mode” that is filled with some creepy and fun features; the company says, “This spooky update turns your Tesla into a haunted house on wheels.”

The update is just the latest in a series of updates that Tesla typically ships out in a seasonal fashion. The Spring and Summer Updates provided some fun novelty items while also packing some cool features that are actually useful for the ownership experience.

This one seems to be more fun-forward, and there are not any updates to the Full Self-Driving suite or overall operation of the vehicle. Instead, these novelty features are geared toward getting you in the mood for the Fall and Halloween.

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New Ghost Costume on Car Avatar

Driver Visualization will now show your vehicle as a ghost, as an all-white sheet is draped over the vehicle. Pedestrians are turned into mummies or skeletons, and other vehicles are all a spooky green:

Credit: Tesla

Additionally, the Park Scene with your Tesla now displays that ghost costume draped over your vehicle in the foreground of a scary backdrop with Jack-o-Lanterns and a haunted house:

Credit: Tesla

Trick or Treat Mode

Trick or Treat Mode will enable the vehicle to play spooky sounds and flicker the lights as visitors approach. This might be a nice touch for when you’re handing out candy to kids on Halloween Night.

Other Features

Tesla is also adding a new Light Show, new Wrap Options, and a new Lock Sound with this update.

Credit: Tesla

Additionally, Photobooth has a new Halloween option:

Credit: Tesla

You will also be able to speak remotely through the app and transmit your voice to people outside, which is not a new feature, but the car will say it in a voice of its own, which is a new feature with that bullhorn-like feature.

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Investor's Corner

SpaceX reveals how its 1 Million AI satellite network will work and prevent space collisions

SpaceX reveals plans for one million Starmind AI satellites and calls out operators hiding maneuvers.

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Concept rendering of SpaceX Starmind constellation via Grok
Concept rendering of SpaceX Starmind constellation via Grok

SpaceX has put the largest satellite count it has ever published into writing, and it says that plan only works if every other operator in orbit starts sharing what it knows.

In a new Space Safety page highlighted Tuesday morning by Sawyer Merritt on X, SpaceX said it “plans to operate up to 100,000 Starlink satellites and up to 1 million Starmind AI satellites to meet the growing demand for broadband and supercompute.” Starlink has a little over 11,000 satellites in orbit today, so the target alone implies roughly a ninefold expansion of the broadband network.

Starmind is SpaceX’s orbital AI compute constellation. Elon Musk confirmed the Starmind name in June after an xAI trademark filing surfaced, and in August SpaceX said it was working with Nvidia on the compute payload. The FCC accepted the filing for up to one million satellites back in February.

FCC accepts SpaceX filing for 1 million orbital data center plan

SpaceX also released a new render of what a full Starmind constellation could look like. Alongside it, SpaceX VP Michael Nicolls explained why the satellites will not operate on their own. “We need to operate clusters of satellites in tight formation to get enough coherent compute to run AI models efficiently,” Nicolls said. “A cluster will be 10-ish satellites connected with 10 terabits or so of bandwidth between them, and interconnected to the broader constellation.”

That is the most specific detail SpaceX has given on how Starmind will be built. Instead of a million independent servers, the network would work as tightly packed groups of about 10 satellites acting as one compute unit, with Starlink’s laser links carrying results back to Earth.

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Packing satellites that close together, at that scale, makes collision avoidance the central problem, and most of the Space Safety page is aimed at other operators. SpaceX said Starlink encountered collision risks with about 650 unique maneuvering third party satellites in 2026, and only about half of them shared data. Over six months, Starlink recorded roughly 164,000 more collision risks where the closest approach came within four hours of an unannounced maneuver.

Some operators keep maneuver plans private over proprietary concerns, while others cannot get government permission to share them. SpaceX called those policies “counterproductive,” saying they “largely only serve to create preventable collision risk between satellites.” Starlink is also offering a free ephemeris sharing and screening platform that returns risk results within a minute, backed by its Stargaze network of 30,000 optical sensors.

The push comes as the Starmind application draws opposition from astronomers and environmental groups. In a September filing with the FCC, SpaceX said each Starmind satellite could weigh up to 4,000 kg, nearly seven times the mass of a Starlink V2 Mini. Musk has brushed off crowding concerns before, telling viewers in June that “space is enormous” and that SpaceX already knows how to run very large constellations safely.

SpaceX’s Starmind page says its Gigasat factory in Bastrop, Texas, is designed to produce AI satellites at scale, with deployment of thousands of units starting as soon as late 2027.

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Five things that are keeping Tesla Full Self-Driving supervised

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Credit: Tesla

Tesla Full Self-Driving is really good. I have used it for over 76 percent of my driving since FSD v14 launched around this time last year, equating to about 76 percent of my miles using the suite. It’s truly the only way I prefer to travel, but admittedly I save some of the more fun drives for myself.

Even with all of the great things it has done for me, including saving me from being involved in an accident, there are still a handful of things that it needs to improve on. These issues recur from update to update, and while there have been some improvements, they still give me reasons to either soft or hard intervene.

A soft intervention means an adjustment that is needed without disengaging the suite, like manually using a turn signal to change lanes while the car still operates on FSD. What I’d consider to be a “hard intervention” is anything that requires me to disengage the suite altogether, like missing a turn or performing a maneuver I’m uncomfortable with. Of course, some hard interventions will be subjective.

Here are the five things I’d like to see Tesla really focus on through the final versions of v14 and hope to see completely improved with v15.

Speed Limit Recognition and Adjustment

There are entirely too many instances of FSD traveling at a speed that is just totally outrageous. While some of these events can occur on Hurry Mode, I’ve even had issues with it on Standard from time to time, and despite wanting more aggressive maneuvers or a slight bit of urgency, I don’t want to worry about getting a ticket while doing it.

The two areas I notice it the most are in school zones and on local roads. When a Speed Limit changes from 45 to 35, FSD does not always slow down in a way that would appease local law enforcement. On Hurry, 52-55 is pretty standard for a rate of travel in a 45 MPH zone. When it changes to 35, FSD shows zero urgency to slow down to an appropriate speed.

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School Zones have been a true pain point, and as recently as last week, I had an issue with it:

Realistically, most Speed Limit issues are a soft intervention, as I simply scroll into a slower Speed Profile to get the car to slow down. School Zones are a hard intervention, as they require me to completely take over and travel at the posted 15 MPH limit. Even on Sloth, it simply does not get down to a low enough speed.

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Parking

Parking is one thing that has really improved over time, but there are still some pretty considerable hoops Tesla needs to jump through to get it to a point where it can be unsupervised.

Parking preferences seem to be where a lot of these issues will be resolved, as most of my complaints come from the fact that the place FSD chooses to park are usually not where I would personally choose to park. This morning, for example, when I arrived at the gym, FSD chose to park next to a vehicle that was parked with its two tires in the spot that FSD picked.

There were three spots in between that car and the nearest car, so FSD could have chosen the spot that would have given a one-spot buffer between the two vehicles. In a parking lot full of empty spots, don’t be that guy who parks next to a car.

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Generally, parking performance is vastly improved from where it was a year ago; I rarely am adjusting how it pulls or backs into a spot on v14.3.10, but in earlier versions, I definitely had my problems. It’s gotten really good since, and this version has been the best in terms of parking performance. It’s more about the places FSD choose to park, and not necessarily the parking itself.

There are also no options or map data to allow you to choose a charger at a place like a grocery store if it offers charging. These are things that are a bit more complex, but they will be needed for unsupervised FSD operation.

Navigation

Navigation was always going to be on this list, simply because it is one of the most inconsistent and mind-boggling things about FSD. Even after a year of intervening, sending voice notes, and overriding decisions, FSD still tries to take me out of my neighborhood the wrong way. You cannot turn left out of my neighborhood’s main entrance and exit, only right. Navigation still prompts a left turn out of my neighborhood’s main entrance and exit, instead of going around the neighborhood and exiting where a left turn is legal.

Tesla rolled out Preferred Routes with the Summer Update, and this has resolved some of the issues. I also found my own personal workaround:

Some of the more mind-boggling things that FSD used to do with Navigation have been remedied, but it is still a frequent complaint for me and many other owners. I’d just like to see it adopt those preferred routes more frequently and maybe learn them a little faster.

Certain Highway Behaviors

Highway travel is the most consistent and perhaps FSD’s best use case. There is nothing better than having FSD handle busy highway traffic or just long, monotonous, and boring drives. I love to use it for my trips to the Flight 93 Memorial where I volunteer. When I drove manually, I chose to get a hotel and stay overnight because it’s about a 2.5 hour drive. FSD lets me make the drive, put in a volunteering shift, and drive home, without much fatigue. I have found that this is where FSD is most valuable for me, personally.

However, there are a few things FSD does on the highway that are just weird.

One thing I’ve had issues with as of late is that there will be times when I’m about a mile from my exit, the car is in the left lane and is traveling faster than the traffic in the cruising late. Instead of completing a pass and then getting over with no traffic ahead, the car will sometimes drastically and suddenly slow down, switch to the slow lane, and get behind a vehicle — all with a mile until the exit. On average, I’ll have around one minute from the time I get to my exit if it’s a mile away, because in most cases, I’m traveling somewhere around 60 MPH on the highway.

There is no reason to not complete that last pass, then get into the right lane, and have an unobstructed path to the exit. This is one of the more strange behaviors I’ve seen it do, and it really does feel like a bug. Here’s an example of it from FSD v14.3.7:

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I ended up overriding the turn signal and using the accelerator to nudge the car to do what I wanted it to do. There was no reason to get in the left lane and add to the congestion in that lane.

Another thing that FSD does frequently is camps in the left lane, especially on Hurry. Cruising in the passing lane is illegal in Pennsylvania, and I know it is not a crime to do that everywhere. However, it is here, and I really wish the car was a little quicker to get over in the left lane when it’s cruising.

Here’s a pretty drastic example I had just a couple weeks back:

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Recognizing Drastic Changes in Road Condition

I think anyone who has ever used FSD knows that potholes are a huge issue, but so are large bumps or sudden changes in road condition. At the intersection of Kreutz Creek Rd. and Rt. 462 in Hellam, PA the roads are nearly set up as a ramp, and going over it at a speed of over 35 MPH can send your head into the glass roof, your butt off your seat, and a brace for the sudden thud that is inevitably coming when you finally touch back down again.

You can see here I tried to change Speed Profiles quickly, but I did it a tad too late:

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There are other roads in my area that should not be taken at even the posted Speed Limit because of the damage it could do to your car. Here’s another, where I disengaged FSD altogether:

The recognition of these bumps is so crucial for two main reasons: they can cause injury, and they can cause damage to the car. These are reasons why the suite is supervised and drivers should remain attentive. I could not imagine going over that bump at an excessive speed if I had back issues, or if I were older.

Potholes are rarely recognized and usually require a lead car to avoid them. I had FSD use a lead car to avoid a pretty sizeable manhole cover a few weeks back:

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Tesla says that there are improvements coming for potholes, so hopefully that means these bumps will also be recognized consistently.

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