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Will Faraday Future’s FF 91 ever see production without a factory?
Faraday Future finally took the wraps off its planned production car, named FF 91, last night at CES 2017. What the public finally saw was a low slung, four passenger crossover style vehicle that is intended to compete with the Tesla Model X.
The California-based electric car startup says the car will utilize an industry leading 130 kWh battery that’s capable of driving 378 miles on a single charge. Powered by three electric motors — one in front and two at the rear — FF 91’s all wheel drive system will be capable of blasting off a 0-60 mph time of 2.39 seconds, making it the world’s quickest electric vehicle.
The battery, which Faraday Future claims has the highest energy density in the industry, is supplied by LG Chem. Pete Savagian, vice president of propulsion engineering at Faraday, says the FF 91 is equipped for 200 kW fast charging and can charge at a rate of 500 miles per hour.
The rear doors are hinged at the rear to provide ease of access to the interior. The doors are fitted with radar sensors that protect them from damage from cars or objects parked nearby. Those sensors also are part of the advanced self-driving system built into the car. Rear seating is said to be spacious and sumptuous.
Those are the specs but specs don’t sell cars. People buy on emotion and justify their decision later with facts. The FF 91 is an emotional car in a way that the equally capable Lucid Air is not. The Lucid sedan looks like a very nice Audi. That’s not a bad thing; it just means it doesn’t have a lot of visual excitement. No car appeals to every taste, of course, but the FF 91 does have curb appeal. It is visually attractive and mimics the body lines of BMW’s i3 and i8 — thoroughly modern without being too bizarre.
Richard Kim, Faraday Future’s head of design, says much of the car was designed using virtual reality technology. “If you want to have the most progressive, forward thinking vehicle design, you have to have use the most progressive and forward thinking methodologies,” Kim told Automotive News during a tour of the company’s headquarters in Gardena, California late last year.
Faraday Future says owners will be assigned an FFID — a personal identification code that will allow any Faraday Future car to configure itself to the personal preferences of the owner. That raises a significant point. Will there ever be enough Faraday Future cars on the road to make FFID relevant? The company is said to have serious financial difficulties. Work on its factory in North Las Vegas has been shut down for almost two months and senior company executives have left the company in the past few weeks.
Not to worry, Nick Sampson, senior vice president of R&D and engineering, told the audience Tuesday night in Las Vegas. Brimming with confidence, he assured those in attendance that Faraday Future is in the middle of a “multifaceted disruption” that will “reformat the auto industry.” Then he added, “Despite all the naysayers and the skeptics, we will persist,” before adding that the company’s “clean sheet” gives it an advantage over traditional automakers. Maybe so. But with the first cars scheduled to be delivered in 2018 and no factory yet in existence, there are plenty of skeptics.
Are Faraday Future and the FF 91 ready for prime time? Interested parties can reserve a car now or pay a $5,000 fee to secure a “priority reservation” for one of 300 “Alliance Edition” cars. With the company teetering on the edge of financial collapse, the CES reveal is seen by many as a Hail Mary event. If the reaction to the FF 91 is positive, new investors may be brought on board. But without fresh funds, it is hard to see how the company can survive long enough to be part of CES 2018.
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
