An executive from Zoox has shared some choice words for Tesla’s Full Self-Driving (FSD) software, just as the Amazon-owned company starts rolling out its first driverless ride-hailing vehicles in two U.S. cities.
During an interview at the Tech Crunch Disrupt conference on Wednesday, Zoox co-founder and CTO Jesse Levinson cast doubt on Tesla’s recent claims that Unsupervised FSD could be seen in some of the company’s vehicles as soon as next year. Levenson claimed that Tesla doesn’t currently “have technology that works” when asked if regulatory or technology issues were the larger problem in the company’s path to robotaxi deployment.
“The more fundamental issue is they don’t have technology that works,” Levinson said of Tesla’s FSD. “And by works, I want to differentiate between a driver assistance system that drives most of the time — except when it doesn’t, and then you have to take over — versus a system that’s so reliable and robust that you don’t need a person in it.”
The executive also highlighted that he doesn’t think Tesla’s camera-based FSD doesn’t have enough equipment to properly keep people safe, saying that it can “lull you into this false sense of complacency” before actually going on to do the wrong thing.
“Our perspective is you really do need significantly more hardware than Tesla is putting in their vehicles to build a robotaxi that is not just as safe, but as especially safer than a human,” Levinson adds.
Elon Musk followed up with a response to the story, highlighting the fact that Zoox wouldn’t exist today if it weren’t for Amazon bailing them out.
If he hadn’t gotten bailed out by Amazon, his company would be dead already
— Elon Musk (@elonmusk) October 30, 2024
You can watch the full interview with Levinson below, with the question about Tesla’s FSD taking place a little after 21 minutes.
Tesla’s FSD Supervised, Cybercab, and competition
Earlier this month, Tesla held its “We, Robot” event to unveil the two-seater fully autonomous Cybercab platform, which it expects to begin mass producing before 2027. Teslarati was among those at the event, and among the first to take a ride in the Cybercab, coverage of which you can see on X here.
While Tesla owners can already use FSD Supervised by either paying a monthly subscription or purchasing the software along with their vehicle, the company has yet to roll out a ride-hailing service for vehicle owners, or a completely unsupervised offering of the software. Tesla said during the event that Model 3 and Model Y owners will get access to Unsupervised FSD in California and Texas by next year, before rolling the software out to the Cybertruck, Model S, and Model X shortly thereafter.
Alphabet-owned Waymo has already started deploying driverless ride-hailing vehicles in San Francisco and Los Angeles, and Zoox also announced this month its plans to deploy completely driverless robotaxis in San Francisco and Las Vegas. Meanwhile, General Motors-owned (GM-owned) self-driving company Cruise is attempting to re-launch paid rides, after facing legal troubles and staff shake-ups following an accident with a pedestrian last October.
Still, Tesla has constantly said that its technology will be more scalable than those of other companies, due to the software being trained by the many drivers who use it in their own cars. The company has also touted its software’s neural network being trained on vast amounts of real-world driving footage, rather than with specific commands in a geofenced area of operation, which it claims makes it able to better handle fringe scenarios.
Tesla investment in autonomous driving program to exceed $10 billion this year: Musk
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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
