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Tesla Model 3 Performance on car carriers spotted departing Giga Shanghai
Tesla China appears to be shipping Model 3 Performance sedans from Giga Shanghai, based on recent photographs captured by the country’s electric car enthusiasts. Tesla China also received approval from the country’s regulators to begin selling longer-range Model 3 variants.
Photographs of the Model 3 Performance were uploaded by Tesla enthusiast @JayInShanghai. The pictures clearly show not only the Chinese Tesla insignia that comes standard on all vehicles produced at Giga Shanghai but also the red-underlined “Dual Motor” badge. This badge, as well as red brake calipers on the sedans at the trucks, confirms that the sedans are Performance vehicles.
BREAKING: MIC Tesla Model 3 Performance spotted on a vehicle transporter straight from Giga Shanghai. That’s right PERFORMANCE this is an unannounced model in China 🇨🇳 Thank you to one of my followers sharing this with us.#Tesla #TeslaChina #MIC #Model3P #特斯拉 #中国 $TSLA pic.twitter.com/DFrWghZ8Jo
— Jay in Shanghai 电动 Jay 🇨🇳 (@JayinShanghai) March 6, 2020
The only Model 3 variant that was formally announced for Giga Shanghai so far is the Model 3 Standard Range+. Tesla China does list the SR+, and Dual Motor Long Range and Performance variants for sale on its website, though no announcements have been made about the next Model 3 trim that will be produced at the Shanghai-based facility.
As the Model 3 Performance starts getting shipped from Giga Shanghai, the Financial Post reported that Tesla also received approval from the Chinese government’s Ministry of Industry and Information Technology on March 6 for the vehicle’s Long Range RWD variant.
The approval states that new vehicles will have a range of more than 600 kilometers or about 327 miles. The SR+ variant offered to Chinese customers since Giga Shanghai’s first days of production provides 445 kilometers of range per charge. The Long Range and Performance variants provide 590 and 595 kilometers of range, respectively.
Giga Shanghai has a current reported run rate of 3,000 vehicles per week. There is no shortage of demand from Chinese customers. The company’s Chinese production site is managing to keep up with an influx of orders and deliveries thanks to quickly improving production efficiency.
There has also been no shortage of challenges that Giga Shanghai faced since it began delivering Model 3s to customers in January. As the global coronavirus epidemic remained present throughout China right after the country’s Spring Festival, Tesla shut its doors, halting production and delaying deliveries for a short period.
However, the company has caught back up and is now planning to not only deliver the fastest variant of the Model 3 but begin manufacturing vehicles with longer ranges. The approval from the Chinese government indicates that Tesla is working on producing longer-range options of the car from its Shanghai-based site, especially as the company continues to offer more miles per charge to customers through Over-the-Air software updates.
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
