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Tesla says ‘brake failure’ protestor vandalized Model 3, refused third-party testing
Tesla is navigating through a difficult bout with an owner in Shanghai, China, named Zhang Yazhou, who appeared at the Shanghai Auto Show last week in protest of what she claimed was a faulty Model 3 braking system. Tesla has now issued a more lengthy and detailed description of their encounters with Mrs. Zhang, revealing that she not only vandalized her own car with red spray paint, but she also denied any requests made by Tesla to have an independent, third-party company investigate whether the Model 3 had braking issues.
On April 19th, Zhang climbed on top of a Model 3 that was positioned at the Tesla booth at the Shanghai Auto Show. Wearing a shirt that said “Tesla Brake Failure,” Zhang yelled “Tesla brakes failed me” to a crowd of spectators who surrounded the all-electric sedan. As a result, Tesla has released several responses, including data from the accident that showed the driver, who was actually Zhang’s father, was driving at a speed that was above the posted speed limit and engaged the braking system successfully on more than 40 occasions in the half-hour leading up to the accident.
Now, Tesla is making more attempts to reveal the story to the public and is revealing its interactions with Zhang.
The Tesla Model Y is leading China’s electric SUV segment by a wide margin
On Tesla’s official Weibo page, the company stated that Zhang talked to Tesla on April 27th, and the automaker was willing to continue communicating and try to come to a solution. After a five-day stint with the Police following the protest, Zhang returned home and told Tesla reps, “I just came back. I need to adjust. I hope you can show an attitude that really solves the problem. When you have this attitude, we will communicate.”
Tesla revealed that Zhang was in the passenger’s seat during the accident and that traffic police came to the conclusion that the driver, Zhang’s father, was “fully responsible for the accident because he did not maintain a safe distance from the vehicle in front.” After the vehicle arrived at a local service shop for repairs on February 22, Tesla says Ms. Zhang put a seal on the vehicle three days after its arrival so nobody could enter the car. Tesla says that Zhang believed the vehicle’s data could be tampered with, and this was the reason for the seal being placed on the doors. Zhang had the still-wrecked vehicle towed to Tesla’s Zhengzhou Fotamen showroom on March 5th, where it would be sitting in the public for everyone to see.
Zhang’s door seals (Credit: Tesla | Weibo)
The following day, Zhang placed a banner that read “Brake Failure” on the car, and Tesla began offering Zhang the option of having third-party inspectors take a look at the car on their dime. Zhang refused, saying that she was not interested in having the car looked at by “non-accredited third-party testing agencies,” and warned that Tesla should “look for pressure from the media” if the car wasn’t returned.
Zhang placed a banner on the car that said “Brake Failure” as the Model 3 sat in front of its Zhengzhou Fotamen showroom. (Credit: Tesla | Weibo)
Zhang then came back to the showroom where her car was located and spraypainted the exterior of her wrecked Model 3 with red paint. The words once again said, “Brake Failure.”
“The Tesla staff are still actively communicating with Ms. Zhang, trying to find a solution, and negotiating with her husband, Mr. Li, hoping to minimize the impact and help her maximize the benefits within a reasonable range. Mr. Li made it clear that he still has a “team” from Beijing assisting him, and being helped by others in “cooperating” with others can only be obedient,” Tesla added. Zhang resealed her vehicle on March 21st.
Zhang spraypainted her wrecked Model 3 with red paint, with the words “Brake Failure” present on the driver’s side of the car. (Credit: Tesla | Weibo)
According to Tesla, Zhang then had the car towed to the Zhengzhou Dahe Auto Show, where two hired models stood beside the car. Zhang then made her appearance at the Shanghai Auto Show on April 19th. Tesla says that it is still working to iron out the situation and work with Zhang and her husband, who is identified as Mr. Li. Tesla sent a sealed version of the vehicle data that was available 30 minutes before the accident occurred to Zhang’s house.
“Since February, we have been doing our best to actively communicate with Ms. Zhang and her family. We sincerely hope that we can promote vehicle inspection as soon as possible and give a result to the friends who care about Tesla,” the company concluded.
You can read Tesla’s full response here.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.