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‘Tesla brake failed me’: Owners protest quality issues at Shanghai Auto Show
A Tesla owner made a scene at the Shanghai Auto Show in China earlier today by jumping onto the roof of a Model 3. Local media reports that the woman was protesting Tesla’s automotive quality after her vehicle’s brakes evidently malfunctioned. She was joined by another woman who also contributed to the protest.
According to numerous eyewitnesses at the Shanghai Auto Show, the two women claimed that their Teslas were of poor quality and that issues with their brakes put them in danger. Both women were wearing shirts that said “Tesla brake failure,” with a Tesla logo printed directly under the words. One woman screamed, “Tesla brakes failed me,” from the roof of a Model 3 that was parked in the Tesla booth at the event.
A female Tesla owner climbed on top of a car’s roof at the Tesla booth to protest her car’s brake malfunction at the Shanghai auto show Monday. The booth beefed up its security after the incident. pic.twitter.com/ct7RmF1agM
— Global Times (@globaltimesnews) April 19, 2021
The woman was eventually removed from the vehicle and taken away from the event by security guards. Police also commented and said the woman was taken in for questioning. As a result of the protest, the Tesla booth was roped off and protected by around 10 guards, Global Times said.
Tesla representatives told local media outlets that “police is supposedly investigating the case.”
The event at the Shanghai Auto Show follows several local protests regarding the quality of Tesla vehicles. In March, one owner in Zhengzhou said that a defective braking system “almost killed her family.” She printed “Tesla brake failure” on her car. Interestingly, this is the exact phrase that was donned on the woman’s shirt at the Shanghai Auto Show.
Tesla has experienced an impressive amount of success in China and is coming off of its biggest month in terms of vehicle registrations in the country. Earlier today, it was reported that Tesla registered 34,635 cars in China in March. This is nearly two times as many cars as Tesla registered in February (18,155) and nearly three times the number of cars registered in March 2020.
The Tesla Model Y is leading China’s electric SUV segment by a wide margin
Interestingly, there has been a recall of some Tesla vehicles in China in recent memory, but the recalls did not have to do with the braking systems. Instead, it was a simple fix for the eMMC. Routine wear and tear after several years of driving caused some malfunctions of a Tesla vehicle’s infotainment system. The same recall was issued in the United States, and Tesla began making repairs on March 31, 2021.
Relations between China and Tesla have been tested lately after some government properties have banned the company’s all-electric vehicles from being driven on State-owned properties. Fearing a possible security breach due to Tesla’s use of external cameras, some Chinese interests have chosen to ban the cars to alleviate concerns of recording sensitive information. Elon Musk has denied these claims by stating, “There’s a very strong incentive for us to be very confidential with any information. If Tesla used cars to spy in China or anywhere, we will get shut down.”
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.”
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
