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Elon Musk spoke with Consumer Reports following Tesla Model 3 test results
In a recent episode of Consumer Reports’ Talking Cars, Auto Test Director Jake Fisher recounted a conversation he had with Tesla CEO Elon Musk following the release of CR’s test results for the Model 3.
While the magazine stated that there was “plenty to like” about the electric car, such as its excellent range and handling, there were several aspects of the vehicle that left much to be desired. The most prominent of the Model 3’s shortcomings were the car’s brakes, which had an average stopping distance of 152 feet from 60-0 mph — longer than any vehicle in its class. Due to its shortcomings, Consumer Reports opted not to give the Model 3 a “Recommended” rating.
Musk promptly responded to the magazine’s findings on Twitter, stating that Tesla would address the Model 3’s braking issues in an over-the-air firmware update. Musk also pledged to continuously improve the Model 3’s brakes, saying that “Tesla won’t stop until Model 3 has better braking than any remotely comparable car.”
As revealed in Consumer Reports’ recent Talking Cars episode, Musk also reached out to Auto Test Director Jake Fisher after the magazine’s test results were published. During their conversation, Musk and Fisher discussed the Model 3 and possible improvements to the vehicle.
“He was remarkably candid about things. Honestly, he actually thanked us for bringing these things to attention, and said that we’re helping him make the car better,” Fisher said.
Fisher noted that he and Musk talked about several of the Model 3’s deficiencies, such as its controls, brakes, wind noise, rear seats, and its suspension. According to the CR Auto Test Director, Musk stated that Tesla has implemented improvements to the Model 3’s design over the past few months.
During the March-April timeframe, for one, Tesla rolled out changes to the Model 3’s glass to adjust wind noise in the cabin. Around the same time, Tesla also made modifications to the suspension, such as its shock absorbers, to make the ride more comfortable.
Musk discussed the controls of the Model 3 as well, a particular aspect of the vehicle that was considered as a weakness in Consumer Reports’ evaluation. According to Fisher, Musk threw out some ideas to make the car’s controls better.
“We talked about the vents, and he talked about ideas of, well, maybe as you move the seat, (the Model 3) would automatically adjust the vents and the mirrors to suit you,” Fisher said.
Consumer Reports recently published the results of its tests for the Model 3. [Credit: Consumer Reports/YouTube]
Musk also discussed another one of Consumer Reports’ complaints about the Model 3 — the car’s keycard. During its testing, the magazine noted that the phone key worked very well with the Model 3, but using the keycard proved cumbersome. Musk addressed this issue during his phone conversation with Fisher as well.
“He (Musk) admitted that yeah, this isn’t working too well, and we really should do something better. Again, I don’t know if they’re gonna do it or not, but he said we really need to provide a normal key to the customers of this car,” Fisher said.
The Model 3’s keycard stands as one of its differences with its larger siblings, the Model S and the Model X, both of which use Tesla’s ubiquitous electric car-shaped key fobs. The keycard, which is credit card-sized for easy storing in a wallet, is embedded with a small chip that acts as a digital signature for the vehicle.
Since the Model 3 keycard uses near field communication (NFC) technology, the card has a limited transmission range of about 4 inches, requiring owners to tap the electric car’s B-pillar to unlock the door. The card is also placed between the front seats of the vehicle to start the car.
Consumer Reports has been mixed with Tesla’s vehicles so far. The magazine dubbed the Model S as the best car it ever tested. The Model X, on the other hand, was dubbed by CR “fast and flawed,” citing the overcomplicated Falcon Wing Doors of the all-electric luxury SUV. Despite its reservations with the Model X, however, Consumer Reports nevertheless ranked Tesla as the sole American automaker in its Top 10 list for 2018.
Watch Consumer Reports’ recent episode on the Tesla Model 3 in the video below.
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
