Breaking Down Tesla’s Autopilot vs. Wall “Wile E. Coyote” Video

By Not a Tesla App Staff
Mark Rober

Mark Rober, of glitter bomb package fame, recently released a video titled Can You Fool A Self-Driving Car? (posted below). Of course, the vehicle featured in the video was none other than a Tesla - but there’s a lot wrong with this video that we’d like to discuss.

We did some digging and let the last couple of days play out before making our case. Mark Rober’s Wile E. Coyote video is fatally flawed.

The Premise

Mark Rober wanted to prove whether or not it was possible to fool a self-driving vehicle, using various test scenarios. These included a wall painted to look like a road, low-lying fog, mannequins, hurricane-force rain, and bright beams.

All of these individual “tests” had their own issues - not least because Mark didn’t adhere to any sort of testing methodology, but because he was looking for a result - and edited his tests until he was sure of it.

Interestingly, many folks on X were quick to spot that Mark had been previously sponsored by Google to use a Pixel phone - but was using an iPhone to record within the vehicle - which he had edited to look like a Pixel phone for some reason. This, alongside other poor edits and cuts, led many, including us, to believe that Mark’s testing was edited and flawed.

Flaw 1: Autopilot, Not FSD

Let’s take a look at the first flaw. Mark tested Autopilot - not FSD. Autopilot is a driving aid for lane centering and speed control - and is not the least bit autonomous. It cannot take evasive maneuvers outside the lane it is in, but it can use the full stable of Tesla’s extensive features, including Automatic Emergency Braking, Forward Collision Warnings, Blind Spot Collision Warnings, and Lane Departure Avoidance.

On the other hand, FSD is allowed and capable of departing the lane to avoid a collision. That means that even if Autopilot tried to stop and was unable to, it would still impact whatever obstacle was in front of it - unlike FSD.

As we continue with the FSD argument - remember that Autopilot is running on a 5-year-old software stack that hasn’t seen updates. Sadly, this is the reality of Tesla not updating the Autopilot stack for quite some time. It seems likely that they’ll eventually bring a trimmed-down version of FSD to replace Autopilot, but that hasn’t happened yet.

Mark later admitted that he used Autopilot rather than FSD because “You cannot engage FSD without putting in a destination,” which is also incorrect. It is possible to engage FSD without a destination, but FSD chooses its own route. Where it goes isn’t within your control until you select a destination, but it tends to navigate through roads in a generally forward direction.

The whole situation, from not having FSD on the vehicle to not knowing you can activate FSD without a destination, suggests Mark is rather unfamiliar with FSD and likely has limited exposure to the feature.

Let’s keep in mind that FSD costs $99 for a single month, so there’s no excuse for him not using it in this video.

Flaw 2: Cancelling AP and Pushing Pedals

Many people on X also followed up with reports that Mark was pushing the pedals or pulling on the steering wheel. When you tap on the brake pedal or pull or jerk the steering wheel too much, Autopilot will disengage. For some reason, during each of his “tests,” Mark closely held the steering wheel of the vehicle.

This comes off as rather odd - at the extremely short distances he was enabling AP at, there wouldn’t be enough time for a wheel nag or takeover warning required. In addition, we can visibly see him pulling the steering wheel before “impact” in multiple tests.

Over on X, techAU breaks it down excellently on a per-test basis. Mark did not engage AP in several tests, and he potentially used the accelerator pedal during the first test - which means that Automatic Emergency Braking is overridden. In another test, Mark admitted to using the pedals.

Flaw 3: Luminar Sponsored

This video was potentially sponsored by a LiDAR manufacturer - Luminar. Although Mark says that this isn’t the case. Interestingly, Luminar makes LiDAR rigs for Tesla - who uses them to test ground truth accuracy for FSD. Just as interesting, Luminar’s Earnings Call was also coming up at the time of the video’s posting.

Luminar had linked the video at the top of their homepage but has since taken it down. While Mark did not admit to being sponsored by Luminar, there appear to be more distinct conflicts of interest, as Mark’s charity foundation has received donations from Luminar’s CEO.

Given the positivity of the results for Luminar, it seems that the video had been well-designed and well-timed to take advantage of the current wave of negativity against Tesla, while also driving up Luminar’s stock.

Flaw 4: Vision-based Depth Estimation

The next flaw to address is the fact that humans and machines can judge depth using vision. On X, user Abdou ran the “invisible wall” through a monocular depth estimation model (DepthAnythingV2) - one that uses a single image with a single angle. This fairly simplified model can estimate the distance and depth of items inside an image - and it was able to differentiate the fake wall from its surroundings easily.

Tesla’s FSD uses a far more advanced multi-angle, multi-image tool that stitches together and creates a 3D model of the environment around it and then analyzes the result for decision-making and prediction. Tesla’s more refined and complex model would be far more able to easily detect such an obstacle - and these innovations are far more recent than the 5-year-old Autopilot stack.

While detecting distances is more difficult in a single image, once you have multiple images, such as in a video feed, you can more easily decipher between objects and determine distances by tracking the size of each pixel as the object approaches. Essentially, if all pixels are growing at a constant rate, then that means it’s a flat object — like a wall.

Case in Point: Chinese FSD Testers

To make the case stronger - some Chinese FSD testers took to the streets and put up a semi-transparent sheet - which the vehicle refused to drive through or drive near. It would immediately attempt to maneuver away each time the test was engaged - and refused to advance with a pedestrian standing in the road.

Thanks to Douyin and Aaron Li for putting this together, as it makes an excellent basic example of how FSD would handle such a situation in real life.

Flaw 5: The Follow-Up Video and Interview

Following the community backlash, Mark released a video on X, hoping to resolve the community’s concerns. However, this also backfired. It turned out Mark’s second video was of an entirely different take than the one in the original video - this was at a different speed, angle, and time of initiation.

Mark then followed up with an interview with Philip DeFranco (below), where he said that there were multiple takes and that he used Autopilot because he didn’t know that FSD could be engaged without a destination. He also answered here that Luminar supposedly did not pay him for the video - even with their big showing as the “leader in LiDAR technology” throughout the video.

Putting It All Together

Overall, Mark’s video was rather duplicitous - he recorded multiple takes to get what he needed, prevented Tesla’s software from functioning properly by intervening, and used an outdated feature set that isn’t FSD - like his video is titled.

Upcoming Videos

Several other video creators are already working to replicate what Mark “tried” to test in this video.

To get a complete picture, we need to see unedited takes, even if they’re included at the end of the video. The full vehicle specifications should also be disclosed. Additionally, the test should be conducted using Tesla’s latest hardware and software—specifically, an HW4 vehicle running FSD v13.2.8.

In Mark’s video, Autopilot was engaged just seconds before impact. However, for a proper evaluation, FSD should be activated much earlier, allowing it time to react and, if capable, stop before hitting the wall.

A wave of new videos is likely on the way—stay tuned, and we’ll be sure to cover the best ones.

Tesla Teases FSD Unsupervised, Hits 50,000 Autonomous Miles

By Karan Singh
Not a Tesla App

We’ve known for a while now that Tesla has been using a custom build of FSD to allow its newly produced vehicles at Giga Texas and Fremont to autonomously navigate themselves from the production line to the outbound delivery lot. 

While we knew they were using a custom build of what was likely FSD Unsupervised, thanks to a recent post from Tesla AI on X, this has now been confirmed. Tesla has also confirmed it has accrued over 50,000 driverless miles, totalled from vehicles autonomously driving themselves to delivery lots.

Autonomous Driving to Loading Areas

For most of Tesla’s vehicles - that’s a 1.4-mile trip that is shared with pedestrians, cars, trucks, and construction equipment. You can see in the video that the Teslas are navigating public roadways and encountering real human drivers.

That’s great news, especially since many were wondering whether Tesla would secure the necessary approvals in time to launch their Robotaxi network in June.

Increased Confidence

Following Tesla’s post to X, Musk followed up by saying that when Tesla launches FSD Unsupervised soon, it will be the first time there will be a generalized, pure AI solution to autonomy. Tesla and several executives continue to post more content about autonomy and the Robotaxi network, leading us to believe they’re feeling confident in the June launch.

Cybertruck Too

Back when Tesla initially announced the autonomous travel of its vehicles from production to loading lots, they mentioned that the Cybertruck was the only vehicle at Giga Texas not receiving that same treatment.

Now, that’s changed - Cybertruck is now also navigating through the Cybertunnel to make its way from the factory directly to the loading docks, all on Unsupervised FSD. And that’s making us even more excited, especially because Tesla was supposed to launch an FSD Update for the Cybertruck a little while ago - but it hasn’t made it to production yet. This update is set to bring Start FSD from Park, as well as Actually Smart Summon - bringing the Cybertruck to feature parity with Tesla’s other AI4 vehicles.

Now that Tesla is confidently using a build of Unsupervised FSD to navigate the tight confines of the tunnel and park, we’re pretty sure that Tesla will likely launch the expected FSD update in the near future.

FSD Update Soon?

It’s been a while since any FSD hardware variant has received an FSD update. It appears that Tesla has been focused on Unsupervised FSD and launching FSD outside of North America.

It seems like we may get a new FSD update soon, and we don’t believe it’ll be just for the Cybertruck. Those who have the opportunity to sign up for Tesla’s new Early Access program will likely be some of the first recipients to receive the FSD update, so stay tuned.

Tesla Opened the Floor — These Are the Features Drivers Want Most

By Karan Singh
Not a Tesla App

Lars Moravvy, Tesla's Vice President of Vehicle Engineering, recently took to X to pose a question to the community: “Let's make Teslas better… what do you all want for 2026?”

The question absolutely took off, and there were tons of fantastic suggestions about what Tesla owners would love to see from their vehicles in the future.

There were more than 12k suggestions, so let's take a look at some of the most popular feature requests.

Top Suggestions

  • CyberSUV - A classically styled SUV with a stainless steel exterior.

  • Faster Charging & Better Charge Curves - Tesla vehicles start off with fast charging speeds, but usually taper off quickly in comparison to other brands. This is especially true when compared to some Chinese brands, which sustain 500 kW charging at up to 70% state of charge. Let's get improved charging speeds on Teslas as well, especially with the 500 kW Superchargers coming in Q3.

  • 450mi / 500mi range vehicles - Lots of customers want longer range vehicles, even though Tesla's analysis says the 300-mile range is ideal for 90% of its customer base. Range really does matter - especially for customers in more rural locations or those who choose to tow or haul with their vehicles.

  • Ambient Lighting Reacts to Music - This one is pretty straightforward, and it's surprising we don't already have this feature. Having basic integration with the currently playing audio is a neat feature, and really helps to make the entire experience even more seamless and premium.

  • Refresh Model 3 Signal Stalk Retrofit - Some people really love their signal stalks. While there aren't retrofits available just yet, we do recommend the Enhauto Stalks. For those who want an official retrofit, there is now some hope - Lars responded and said he'll try.

  • Lumbar Support in the Profile - Right now, lumbar support is the only seat item not saved to the Tesla Profile. This may change soon, as Lars followed up and mentioned that there are a few technical issues preventing it, but Tesla could make it work with some of their magic.

  • Model 3 Track Pack - The Model S has an exclusive Track Pack as a post-factory retrofit offered by Tesla, including premium brakes, tires, and wheels. The Refreshed Model 3 Performance is a killer track vehicle - but getting real track support from Tesla would be a game-changer for those who love to race.

Some of Our Favorites

  • Sentry Mode Improvements - Several users suggested adding B-pillar recording to Sentry Mode. And it looks like Tesla has already been working on this, and it'll be available in the upcoming 2025 Spring Update, which will be update 2025.14. Unfortunately, it'll be limited to what appears to be HW4 vehicles due to the additional processing.

  • Massaging Seats - A touch of luxury for Tesla's most premium models would be nice. Many other luxury brands already offer massaging seats so it’d help keep the Model S on par with these brands. Edit: Corrected that the Model S has never come with massaging seats.

  • Powershare for More Vehicles - Powershare is a fantastic feature, and bringing it to every Tesla is a must, especially as many other brands, including Ford, Kia, and Hyundai, offer either Vehicle to Load or Vehicle to Home capabilities as an option on their EVs. Tesla recently introduced the Mobile Connector with Powershare capabilities and an Outlet Adapter, but it's still exclusive to the Cybertruck for now.

  • Starlink Integration - Tesla currently uses cell networks for connectivity, which can sometimes be spotty. Starlink is a clear, high-tech solution that could provide data to vehicles when they have a clear line of sight to the sky.

  • Grok in Vehicles - Musk has already confirmed that Tesla will be integrating Grok into Tesla vehicles. We expected it to be included in Tesla's Spring Update, but it looks like they'll need a little bit longer. One of the lead xAI/Grok developers mentioned the request with a wink emoji, so it's clear it’s a feature that Tesla and xAI are actively working on. The way users will be able to naturally talk to AI will be game-changing for many users who are used to driving alone.

There was a lot of positivity in the comments, as well as a ton of interesting requests that could eventually be implemented in Tesla vehicles. Lars also responded to quite a few of the comments, which was nice to see.

While nothing is certain, some of these popular requests may come in a future update, while others may need hardware changes if Tesla wants to implement them.

2026 may seem far away, but there's already plenty of coming this year with a cheaper vehicle and the launch of the Robotaxi network.

If you love reading about feature suggestions, we also recently covered the top feature requests for Tesla, based on the many requests we hear about.

Latest Tesla Update

Confirmed by Elon

Take a look at features that Elon Musk has said will be coming soon.

More Tesla News

Tesla Videos

Latest Tesla Update

Confirmed by Elon

Take a look at features that Elon Musk has said will be coming soon.

Subscribe

Subscribe to our weekly newsletter