A chairman from China-based battery giant Contemporary Amperex Technology Co. Limited (CATL) recently cast doubt on Tesla’s 4680 battery cell, saying that he didn’t think it would be successful in the long run.
In a conversation earlier this year, CATL Chairman Robin Zeng told Elon Musk that the cylindrical 4680 battery “is going to fail and never be successful,” according to a report from Reuters this week. Zeng made the statements to Musk in a meeting with the Tesla CEO on his Beijing visit in April, and the chairman also said that the Tesla CEO was better equipped to handle other technologies than battery cells.
“We had a very big debate, and I showed him,” Zeng said. “He was silent. He doesn’t know how to make a battery. It’s about electrochemistry. He’s good for the chips, the software, the hardware, the mechanical things.”
Tesla working on four dry cathode 4680 battery variants: The Information
Tesla’s 4680 battery cell and CATL licensing
In September, Tesla announced that it had produced its 100 millionth 4680 battery cell at Gigafactory Texas, after reaching 50 million units in June. The company is also in the process of expanding its Gigafactory Nevada to add a dedicated 4680 cell production facility, expected to ramp up to 500 GWh in the long term.
The report also highlights a licensing deal Tesla has with CATL for technology related to producing batteries in Nevada, expected to officially launch in 2025, according to a person with knowledge of the matter who spoke to Reuters under the condition of anonymity.
Zeng on FSD Supervised and Musk’s promise timelines
In addition to discussing battery technology, the chairman said that he and Musk talked about the company’s focus on autonomy, adding that he agrees with Tesla’s overall approach to the topic. Unlike other companies that are developing self-driving systems, Tesla’s Supervised Full Self-Driving (FSD) only utilizes cameras as sensors, rather than using multiple layers of different redundant technologies.
“He’s all in,” Zeng told Reuters regarding Musk and Tesla’s FSD strategy in a statement earlier this month. “I think it’s a good direction.”
Despite his support for the company’s approach to FSD Supervised, Zeng also noted that he thinks Musk tends to set unrealistic timelines for new vehicle technologies, and he even asked the Tesla CEO during the April conversation, saying two-year timelines may as well be “infinity.”
“His problem is overpromising. I talked to him,” the chairman added. “Maybe something needs five years. But he says two years. I definitely asked him why. He told me he wanted to push people.”
Musk has addressed criticisms of his timelines before, pointing to his optimism as a necessary part of his accomplishments.
While certainly not perfect, my batting average for most predictions is quite good.
My schedule optimism, without which I probably wouldn’t even have tried to do many endeavors, gets the best of me sometimes, but I always deliver in the end.— Elon Musk (@elonmusk) December 30, 2023
“Now, admittedly I’m a little optimistic sometimes,” Musk said during this year’s Annual Shareholders Meeting. “You know, I don’t have a complete lack of self awareness. But if I wasn’t optimistic, this wouldn’t exist this factory wouldn’t exist.”
The CEO later went on to add that he believes he’s been “pathologically optimistic from birth.”
CATL hopes for U.S. factory under Trump
CATL also told Reuters that it would build a U.S. production facility if President-elect Donald Trump would allow it.
“Originally, when we wanted to invest in the U.S., the U.S. government said no,” Zeng said. “For me, I’m really open-minded.”
“I do hope that in the future they are open to investments,” the chairman added.
In August, Trump expressed that he would be open to Chinese companies building factories in the U.S., despite the country’s recent passage of a 100-percent tariff on electric vehicle (EV) imports.
“We’re going to give incentives, and if China and other countries want to come here and sell the cars, they’re going to build plants here, and they’re going to hire our workers,” Trump said in a statement to the publication in August.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
CATL’s new LFP cell has 620+ miles of range and ultra-fast charging
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
