The narrative surrounding Tesla appears to have shifted for the better in China, with Xinhua News Agency, the official state-run press agency of the People’s Republic of China, recently posting a glowing analysis of the EV maker’s effect on the country’s auto sector. According to the media outlet, Tesla’s arrival has done a lot for China, as it helped break the old, negative stereotypes that have long been associated with the “Made in China” brand.
China-made vehicles have long suffered from the reputation of being “low price, low quality, and low value.” In a way, such labels were quite fair considering that China had focused its exports in the past on low-quality vehicles that were sold dirt-cheap in developing countries. Tesla, however, changed this, since, from the get-go, the American EV maker was open about its intent to develop Gigafactory Shanghai into a facility that could truly be considered one of the best in the world.
Tesla did not need any secret formulas to accomplish this goal. It simply ensured that the vehicles produced in Gigafactory Shanghai were on par, if not better, than the cars that it was producing in the Fremont Factory. And for all intents and purposes, Giga Shanghai was successful in this endeavor. Tesla China’s vehicles have been largely praised for their stellar quality — so much so that both the Model 3 and the Model Y have been exported to foreign territories.
Some EV enthusiasts have even started preferring Tesla’s Made-in-China cars compared to the company’s American-made vehicles due to the former’s consistent build quality. The capabilities of Made-in-China Teslas in deep floodwaters have also become compelling trends in social media, with users fondly dubbing the electric cars as “Boat Mode” EVs.
In an interview with Xinhua, Feng Qingfeng, CEO of Lotus Group, noted that the new energy vehicle market in China had been mostly tepid before Tesla’s arrival. Veteran automakers didn’t put much effort into making compelling green cars, and some companies ended up relying more on subsidies to get by. This led to weak technological innovation, low product capabilities, and a rather bleak market response. Tesla proved to be a completely different animal, however.
“The arrival of Tesla has reshaped market perception, not only driving the rise of new forces, but also forcing traditional car companies to increase their transformation efforts, catalyzing the full-scale outbreak of the new energy market in recent years,” Feng remarked.
Tesla’s bet in China appears to have largely paid off. Today, Giga Shanghai stands as the company’s primary vehicle export hub, both for the Model 3 and Model Y. This has allowed Tesla to optimize its operations in the Fremont Factory, while accelerating the start of vehicle production in other sites like Gigafactory Texas. Quite interestingly, Tesla has become a model of sorts for other EV makers in China, as it proved that a company with a compelling product could break the country’s long-established negative stereotype. One just has to work extremely hard to make a difference.
“The emergence of Tesla has expanded the export sales area of Chinese cars to developed markets such as Europe and the United States, breaking the prejudice of ‘low price, low quality, and low value’ made in China, and sending ‘high quality, high value’ Chinese made cars,” Xinhua wrote.
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
