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Tesla China owner ordered to pay damages after describing Model X as “suicide toy”
Tesla China’s legal team has secured another win, with the electric vehicle maker recently winning a defamation case filed against a Model X owner who previously described his vehicle as a “killing” or “suicide toy” in statements to the media. The court’s judgment required the defendant to post a public apology in a local newspaper and pay a fine of RMB 10,000 ($1,412) due to his actions.
The Model X owner, dubbed in reports as Mr. Wen, was reportedly driving his Model X from Fuyang to Zhengzhou when the vehicle suddenly decreased its speed from 100 km/h to 60 km/h. In later interviews with the media, Mr. Wen stated that the Model X’s brakes failed, which turned the all-electric vehicle into a “suicide toy.”
Apart from this, the Model X owner claimed that no one from Tesla China contacted him about the incident despite the malfunction. This statement was proven false as per the court ruling, since evidence showed that a Tesla China staff member contacted Mr. Wen on the day of the incident to get details on the situation.
The Tesla China staff member reportedly tried to get the vehicle inspected, but despite several tries from the electric vehicle maker, the Model X owner reportedly refused, according to the court order. As noted in the verdict, Mr. Wen later made statements in interviews that were inconsistent with the facts of the case. These statements ended up having a negative impact on Tesla’s business image in China.
Following is a screenshot of the court’s decision on the case.
And following is a rough translation of the text.
People’s Court of Guancheng Hui District, Zhengzhou City, Henan Province
Civil Judgment
(2022) Henan 0104 Minchu No. 8276
Plaintiff: Tesla Motors (Beijing) Co., Ltd., domiciled in Chaozhou, Beijing
Room 01, Room 801, 8th Floor, No. 77 Jianguo Road, Yang District.
Legal representative: [redacted]
Agent ad litem: [redacted]
Defendant: Wen
Court judgment:
1. It is determined that Mr. Wen’s remarks constitute infringement
2. Mr. Wen apologizes to Tesla
3. Mr. Wen compensates Tesla for losses
This court holds that civil subjects enjoy the right of reputation. No organization or individual may infringe upon the reputation rights of others by insulting or slandering. The right of reputation of a legal person refers to the right of a legal person not to be infringed by others for the social evaluation generated by all its activities. The plaintiff, as an enterprise legal person, enjoys the right of reputation according to law, and no one is allowed to fabricate or spread false information that damages the reputation and external image of its products. In this case, the defendant stated in an interview that no one contacted him after the vehicle involved in the case broke down, and claimed that the plaintiff company was “a dead pig is not afraid of boiling water”, which is inconsistent with the facts.
The evidence submitted by the plaintiff shows that on the day when the breakdown of the vehicle involved in the case occurred, a staff member contacted the defendant to understand the situation and made a request to inspect the vehicle involved in the case. He also communicated with the defendant many times about maintenance matters, but the defendant refused. However, in the interview, the defendant made a statement that was inconsistent with the facts, telling the plaintiff that consumers should send the vehicle for inspection and maintenance in time, and legally protect the rights of the problems with the vehicle.
However, the defendant refused to overhaul it, and made a statement under the condition that he believed that there was no major problem with the vehicle, “I bought a Tesla for 1.5 million, and I bought a killing toy or a suicide toy. It is worth it” and “I am not buying an electronic bomb, I am buying safety, what I want is safety and other statements containing derogatory language. The above-mentioned remarks of the defendant have been released and reproduced by the media platform, which has caused public criticism of the plaintiff, and the negative evaluation of the “Tesla” brand caused the plaintiff’s social evaluation to be lowered and the plaintiff’s right of reputation was violated.
To sum up, in accordance with Articles 110 and 1024 of the Civil Code of the People’s Republic of China and Paragraph 1 of Article 67 of the Civil Procedure Law of the People’s Republic of China, the Supreme People’s Court Article 12, Paragraph 2 of the Provisions on Several Issues concerning the Application of Law in Civil Dispute Cases of Infringement of Personal Rights and Interests Using Information Networks stipulates that the judgment is as follows:
- The defendant Wen apologized to the plaintiff Tesla Motors (Beijing) Co., Ltd. within ten days after this judgment came into effect, and the content of the apology was reviewed and approved by the court. It was later published in “Henan Legal News”;
- The defendant Wen shall compensate the plaintiff Tesla Motors (Beijing) Co., Ltd. 10,000 yuan within ten days after this judgment takes effect.
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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
