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Tesla Autopilot ‘easily tricked’ by Consumer Reports in bizarre test
Consumer Reports claims to have shown that Tesla Autopilot can be “easily tricked” into driving without anyone in the driver’s seat. The test process was extremely bizarre and required certain items that most drivers would never have in their vehicles.
CR released a report on April 22nd entitled, “CR Engineers Show a Tesla Will Drive With No One in the Driver’s Seat.” The test was in response to the recent and very public Tesla Model S crash in Texas, where two men, unfortunately, passed away after their all-electric sedan crashed violently into a tree at a high speed. Investigators are attempting to determine whether the vehicle was “driverless,” a claim made by several mainstream media outlets. CEO Elon Musk chimed in just days after the crash and the very public coverage of it to say that it would be impossible for Autopilot to function on the road where the crash occurred due to the lack of road lines, which are required to initiate the use of Basic Autopilot.
Tesla alleged “driverless” crash in Texas: What is known so far
The CR test required the vehicle, a Tesla Model Y, to be in motion, and engineers then engaged Autopilot and set the speed dial to 0, which brought the car to a stop. Next, Jake Fisher, CR’s Senior Director of Auto Testing, placed a “small, weighted chain on the steering wheel, to simulate the weight of a driver’s hand, and slid over into the front passenger seat without opening any of the vehicle’s doors, because that would disengage Autopilot.” The Autopilot speed was then adjusted so that the vehicle would accelerate from its stationary position. The car managed to drive up and down the half-mile lane of the CR test track, although nobody was in the seat or controlling the vehicle. “It was a bit frightening when we realized how easy it was to defeat the safeguards, which we proved were clearly insufficient,” Fisher said. The engineers encouraged nobody to try the experiment at home, but who will have a custom weighted chain sitting around to experiment with anyway?
“In our evaluation, the system not only failed to make sure the driver was paying attention, but it also couldn’t tell if there was a driver there at all,” Fisher added, but he wasn’t done throwing shade at Tesla. “Tesla is falling behind other automakers like GM and Ford that, on models with advanced driver assist systems, use technology to make sure the driver is looking at the road.” GM’s SuperCruise and Ford’s recently released BlueCruise are what Fisher is referencing, but the comparisons don’t really add up.
Tesla Autopilot has over 23 billion real-world miles of data that is stored in a Neural Network to improve performance. With every mile driven, Tesla’s semi-autonomous driving functionalities become more robust, more precise, and more adaptable to human behavior. Ford and GM have accumulated only a fraction of these statistics. Tesla, meanwhile, recently reported its Q1 2021 Safety Report, where it found that Autopilot is nearly 10 times safer than human driving.
Tesla’s Q1 2021 accident data shows Autopilot is closing in on being 10X safer than humans
The test performed by CR is extremely bizarre because people would not normally have all of these things in their vehicle or even in their possession, to begin with. Tesla maintains that drivers are responsible for remaining attentive during the entirety of their driving experience. The company has never claimed to have released a program capable of Level 5 autonomy where a driver needs to pay no attention to the road or the vehicle’s surroundings. Yet, Tesla’s very-publicized crash raises questions from those who have a historical distaste for the company and its products. Consumer Reports has not been keen on Tesla in the past. They have indicated that GM’s SuperCruise, despite being less effective or safe than Autopilot based on data, holds a commanding lead over Tesla’s semi-autonomous driving program.
It is worth noting that Tesla has several safety thresholds that would prohibit anyone from attempting to let the vehicle drive itself. These include a steering wheel monitoring system, which will bring the car to a complete stop if the driver is not holding it. The system also requires a driver to be in the seat to function, and the company recently revoked FSD software from several drivers who were abusing the program by being inattentive. More safety features, like a facial features recognition camera, will monitor the driver’s eyes and face to ensure they are paying attention to the road.
What are your thoughts on the CR study? Let us know in the comments, or let me know at @KlenderJoey on Twitter. You can email me at joey@teslarati.com as well.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
