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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.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
