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GM confirms Chevy Bolt EV battery production has resumed

Credit: Chevrolet

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General Motors announced that battery production for the Chevy Bolt EV is once again underway. Battery production resumed on Monday, the automaker said, and outlined a course of action to “ensure that customers can safely and confidently drive, charge, and park the Chevy Bolt EV and EUV.”

Over the past twelve months, the Bolt EV has had three recalls related to battery issues that have caused combustion in some instances. During the July recall, the second related to battery problems, GM announced that “the simultaneous presence of two rare manufacturing defects in the same battery cell” caused an increased risk of battery fires. The recall affected around 69,000 cars worldwide.

GM then doubled down on the recall in late August, announcing that it had temporarily halted production of the Bolt altogether. GM spokesman Daniel Flores commented:

“We will not resume repairs or restart production until we are confident LG is producing defect-free products for us.”

As of now, manufacturing of the Bolt EV has not resumed, only the production of the battery cells that the vehicle utilizes.

The recalls set GM back around $1.8 billion so far this year and led to a widespread case of paranoia among those who saw the vehicles on the road. A parking lot in San Francisco actually prohibited Bolt EVs from parking at their facility due to the battery issues.

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Now, GM has announced that production has resumed for Bolt EV batteries. Due to an updated manufacturing process and new advanced diagnostics software from GM, there is now confidence from the Detroit-based automaker that the worst of the issues are now behind them. “We’re grateful for the patience of owners and dealers as we work to advance solutions to this recall,” GM Executive VP of Global Product Development, Purchasing and Supply Chain, Doug Parks, said. “Resuming battery module production is a first step and we’ll continue to work aggressively with LG to obtain additional battery supply. In addition, we’re optimistic a new advanced diagnostic software will provide more convenience for our customers.”

The Bolt EV utilizes cells from battery supplier LG, which operates cell production plants in Holland and Michigan. Both facilities have resumed production and replacement battery modules will be shipped to dealers “as soon as mid-October,” the company said. LG has worked with GM to initiate and implement a new plan of attack that will recognize and identify defects in battery cells, providing confidence in the batteries moving forward.

How the Chevy Bolt EV became GM’s 1.8 billion dollar problem

In terms of the replacement process of the affected population, GM said it will “continue to prioritize Chevy Bolt EV and EUV customers whose batteries were manufactured during specific build timeframes where GM believes battery defects appear to be clustered. The company has established a notification process that will inform affected customers when their replacement modules will be available.” The new batteries will include an extended warranty as well: 8-year/100,000-mile limited warranty (8-year/160,000 km limited warranty in Canada).

Additionally, GM will launch a new advanced diagnostic software that will roll out within approximately 60 days. The software will detect specific abnormalities that might indicate a damaged or defective battery in either the Bolt EV or EUV, alerting customers of abnormalities. GM plans to allow owners to return to 100% state of charge once diagnostic processes are completed. For now, the company states that owners should do the following:

  1. Set the vehicle to a 90 percent state of charge limitation using Target Charge Level mode. Instructions on how to do this are available on chevy.com/boltevrecall. If customers are unable to successfully make these changes or do not feel comfortable making these changes, GM is asking them to visit their dealer to have these adjustments completed.
  2. Charge the vehicle more frequently and avoid depleting battery below approximately 70 miles (113 km) of remaining range, where possible.
  3. Continue to park vehicles outside immediately after charging and do not leave vehicles charging indoors overnight.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

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.

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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.

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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.

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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.

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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.

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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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