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Tesla FSD Beta V9 earns sharp rebuke from Consumer Reports

Credit: Eli Burton/Twitter

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Consumer advocate group Consumer Reports (CR) has issued a sharp rebuke of Tesla’s Full Self-Driving Beta V9, which began its initial rollout earlier this month. CR highlighted FSD Beta V9’s capabilities and lack of safeguards as its main point of criticism for the advanced driver-assist system. 

Tesla FSD Beta V9 adopts the company’s pure vision approach, which uses a camera-based Autopilot model. Tesla’s decision to adopt pure vision as opposed to its previous camera+radar approach was quite controversial, though initial reviews from some FSD Beta users have noted that their vehicles have been behaving more confidently with FSD Beta V9. Elon Musk, for his part, has maintained that FSD Beta V9 users must exercise utmost caution when using the system.

Consumer Reports’ Tesla Model Y does not have FSD Beta V9 software, and thus, the company is yet to experience the advanced driver-assist system firsthand, but Jake Fisher, senior director of CR’s Auto Test Center, noted that videos of FSD Beta V9 in action do not inspire confidence. “Videos of FSD Beta 9 in action don’t show a system that makes driving safer or even less stressful. Consumers are simply paying to be test engineers for developing technology without adequate safety protection,” he said

The magazine pointed to videos uploaded by FSD Beta V9 tester AI Addict, whose YouTube uploads showed instances when the advanced driver-assist system made mistakes and required manual interventions. Missy Cummings, an automation expert who is director of the Humans and Autonomy Laboratory at Duke University, noted that FSD Beta V9 still has fundamental problems. 

https://twitter.com/WholeMarsBlog/status/1417341858322161664?s=20

“It’s hard to know just by watching these videos what the exact problem is, but just watching the videos it’s clear (that) it’s having an object detection and/or classification problem. I’m not going to rule out that at some point in the future that’s a possible event. But are they there now? No. Are they even close? No,” she said. 

https://twitter.com/kimpaquette/status/1414351707660763137?s=20

Selika Josiah Talbott, a professor at the American University School of Public Affairs in Washington, D.C., is more critical of the system, stating that the videos she has seen of FSD Beta V9 show that the advanced driver-assist system behaves “almost like a drunk driver” in the way that it struggles to stay between lane lines. “It’s meandering to the left; it’s meandering to the right. While its right-hand turns appear to be fairly solid, the left-hand turns are almost wild,” she said. 

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Despite Tesla’s rollout of a camera-based driver monitoring system to its vehicles, Fisher argued that the EV maker still needs to monitor its drivers in real-time to ensure that FSD Beta V9 is being used properly. “Tesla just asking people to pay attention isn’t enough—the system needs to make sure people are engaged when the system is operational. We already know that testing developing self-driving systems without adequate driver support can—and will—end in fatalities,” he said. 

It should be noted that FSD Beta V9’s current iteration is not in wide release yet, and it has only been rolled out to the company’s select group of FSD Beta testers. So far, however, tests of the system in action seem encouraging. While manual interventions still happen from time to time, FSD Beta V9 does seem like a step forward from its previous iterations. This does not mean that Tesla’s driver-assist system is ready to go hands-free, of course, but it’s a solid step forward. Needless to say, there’s a good chance that improvements would be made to FSD Beta V9 before it gets a wider release. 

Consumer Reports’ full article on Tesla’s FSD Beta V9 could be accessed here

Watch AI Addict’s FSD Beta V9 video below.

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.

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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 Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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Tesla Cybercab launch catches NHTSA’s attention who wants to know more

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(Credit: Teslarati)

Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.

The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.

NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.

Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)

However, the agency needs more information; it said in a summary:

“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”

It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:

“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”

Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.

Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.

In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.

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