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Tesla China VP talks Shanghai factory, Model Y and adapting to a COVID-19 world
Tesla China’s Vice President of Foreign Affairs Grace Tao gave an extensive update to Giga Shanghai’s production rate, Phase 2 progress, and how the company has evolved in a pandemic-affected work environment.
In an interview with Chinese media outlet Xinhuanet, Tao described Giga Shanghai’s projected production rate for June, along with the introduction of the Model Y in China.
Tao stated Giga Shanghai operation is going smoothly and may reach a 4,000 vehicle per week production rate as early as June. The figure of 4,000 Model 3s being rolled off production lines in Shanghai will help the company reach its anticipated annual production rate of 200,000 electric cars a year, exceeding its prior expectations of 150,000 units annually or around 3,000 Model 3s a week. In contrast, only the first phase of the Chinese production facility is built.
Giga Shanghai’s Phase 2 is also coming along nicely, Tao said. The company fully anticipates the completion of Phase 2 by the end of the year, which means the Model Y could begin mass production as early as Q1 2021.
The sheer size of Phase 2 and Tesla’s construction speed is impressive. The company completed the first phase of Giga Shanghai in one year, as the company announced public Model 3 deliveries and the Model Y manufacturing project on January 7, 2020. This date in 2019 is the exact day construction started in Shanghai.
The company has also been forced to adapt to a new world that is dealing with the massive COVID-19 pandemic. Considering the virus has origins in the Asian country, Giga Shanghai would have been a prime candidate for an extended shutdown. However, the facility was only closed for around a week and reopened on February 10. An extended playbook that described safety and health procedures for employees at Giga Shanghai has been increasingly effective in keeping workers safe and production rates steady.
The “Chinese Operation Manual” details how people can remain safe amidst the pandemic, and was the basis for Tesla’s “Return to Work Playbook” that was written to describe safe procedures for the Fremont factory’s reopening.
Outside of the factory, Tesla stores have adapted to the new process of showing the company’s products to prospective owners. Tao stated that Tesla’s internet site had become a mainstay in keeping the company’s sales healthy. At the same time, in-store experiences are crucial for introducing new product experiences and showing new features with the company’s cars.
For example, Tesla just released its White Model 3 interior in China. While virtually anyone with an internet connection can see what it looks like, the stores allow interested buyers in seeing the interior color in person, determining whether the option is right for them.
Tao stated that Tesla plans to expand its stores, which she refers to as “experience centers,” into new territories “based on the expansion of customer bases in different cities.”
Despite the overwhelming infection of COVID-19 in China, Tesla has adapted and established itself as an outlier in a failing automotive sector. The company just reduced the price of its base Model 3 to qualify for government incentives, making the vehicle even more affordable in an already strong market.
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
