News
What does a Tesla Model S owner think of the Chevy Bolt? (Full review)
Southern California Tesla Model S owner Alex Venz was recently given 24-hour access to a Chevy Bolt with the stipulation that he not drive it more than 100 miles. After his time with the car was up, Alex put together a lengthy video that explores the Bolt and highlights some of its pluses and minuses.
For starters, Alex found the Bolt was somewhat smaller than the Nissan LEAF he used to own. He calls it larger than a Ford Fiesta but smaller than a Ford Focus. His first impression is that the seats are somewhat narrow. In fact, they measure about 17 inches wide. A quick check on his Model S finds those seats are about 20 inches wide, as are the seats in a Honda Accord he had access to. So the Bolt is a little tight when it comes to hip room.
Head room is another story. The Bolt has more front and rear head room than the Model S. Venz, who says he is 5′ 9″ finds he has almost no headroom in the back seat of his Model S but about 3 inches of clearance in the Bolt. Front headroom in the Bolt is about double what he has in his Model S.
Luggage capacity is also significantly greater in the Tesla. The Bolt can handle three moderate size carry on bags, but with little to no room left over. The rear seats of the Bolt do fold flat, however. Lenz says there’s not enough room to actually lie down in back with the seats folded, but there is enough room for lots of cargo if the rear seats aren’t needed for passengers.
The Bolt takes about 2 seconds more to get to 60 mph than Lenz’s Model S 70 but the time required is still around 7 seconds, which is fairly quick in comparison to most in-category cars with internal combustion engines. The quality of interior materials is adequate, Lenz finds, and he notes that the Bolt has fewer squeaks and rattles than his Model S.
Checking out the car’s controls, Venz found the Bolt comes up short when it comes to ease of operation. The touchscreen is customizable, but requires far more effort to drill down through the available menus than the Tesla does. The Bolt also has no built in navigation function for route planning or finding charging locations. Instead, Bolt drivers will have to rely on apps or the mapping functions provided by Apple Car Play or Android Auto. Neither map program is as fully featured as what Tesla offers.
Venz notes that CCS quick charging is a $750 option. Without it, the Bolt can only be charged at either 8 or 12 amps from a household outlet, or roughly 3 miles of range per hour of charge. Just as with the Chevy Volt, 8 amps is the default setting. The driver must manually select the 12 amp setting every time, which is tedious. The car also is programmed to do a 100% charge every time. There is no way to select a lesser charging level.
Update: In the comments to this post, several people took issue with Venz’s information on charging. This comes from GreenMonkeyPants: “Untrue. without the CSS option, there’s a standard J1772 that will charge at 32A @240V.” Further information may be obtained from the website Chevy EV Life.
The ride and handling of the Bolt are described as good. The car is responsive and nimble in a way the Model S, being considerably larger, is not. Venz does praise the regenerative braking feature built into the Bolt, which he says permits one pedal driving. The regen is available even with a full battery and can be boosted with a paddle mounted low and on the left side of the steering wheel.
Venz’s conclusion is that the Bolt is an excellent car for someone who will use it primarily for commuting. It has more than adequate range for most people, it is comfortable, and fun to drive. The seating position is higher than in the Model S and is more like what a driver would expect in a crossover SUV than a sedan. That’s a big plus for a lot of drivers.
On balance, Venz feels the Bolt is one of the best products to come from Chevrolet in quite some time. Comparing prices and functions with the Model S, the Bolt is a good car for the money and may actually be better suited to the way ordinary people drive on a daily basis than the Model S.
That’s not the whole story, of course. The real test will be how the Chevy Bolt stacks up against the Model 3. Most people expect the Tesla midsize car to be more refined and offer a higher level of technology than the Bolt. The Chevrolet product has lane keeping assist, blind spot warnings, and automatic emergency braking available but nothing similar to the Autosteer or TACC features available in the Tesla. The Model 3 will be capable of full autonomous driving; the Bolt is not. It will be interesting to see how the two cars compare when both are available to consumers.
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
