It appears that Tesla Gigafactory Shanghai has started exporting its locally-made Model 3 to Europe. In September 2020, the all-electric car maker began preparations in Giga Shanghai to produce Model 3 vehicles optimized for export in Asia and the European region.
Tesla’s plans to export the China-made Model 3 from its Shanghai facility were slated to begin in the fourth quarter and the EV automaker seems to have started exporting the Model 3 right on schedule.
According to Greendrive, a customer in Europe was the first to confirm that Giga Shanghai’s Model 3 exports had officially started. The said customer ordered a Model 3 SR+ with a stock hitch and noticed that his invoice stated “Model 3 – China.”
The future Model 3 owner double-checked the invoice for more clues. His Model 3’s VIN also seemed to support that it would be coming from Gigafactory Shanghai. The VIN read “LRW-XXXXXLCXXX.” The “L” stood for the year his Model 3 would be made and the “C” stood for the country it was coming from, which in this case stood for “China.”
Indications that Tesla was already sending its China-made vehicles to other countries emerged when longtime drone-operator Wu Wa conducted a flyover of Gigafactory Shanghai. As could be seen in his footage, the massive facility’s holding lots were filled with Model 3s that had protective wraps.
This, observed Tesla owner-enthusiast Armand Vervaeck, suggested that the Model 3s were being sent abroad, possibly even by train. Wu Wa, for his part, confirmed to Teslarati that the wrapped vehicles he filmed were indeed intended to be exported to other countries.
The main difference between the Model 3 made in the Fremont Factory and Giga Shanghai would be the vehicle’s battery. The Fremont Factory-made Model 3 features nickel manganese cobalt cells (NMC) which have more energy density. However, NMC batteries are more expensive to produce and they still contain cobalt, a rather controversial material.
The China-made Model 3 uses cobalt-free lithium iron phosphate (LFP) batteries, which have allowed Tesla to reduce the cost of its affordable sedan in Asia. Gigafactory Shanghai’s Model 3 became cheaper than its US-made counterpart earlier this month, partly due to its LFP batteries.
As of this writing, there have been no reports of Tesla Giga Shanghai exporting Model 3 vehicles to other countries in Asia. News of China’s Model 3 exports to other countries in Asia and Europe could significantly raise Tesla’s customer base and global reach.
Tesla unveiled its Model 3 “refresh” last week with improved range and performance. Some of the other vehicles in Tesla’s S3XY line also received a range and performance boost. The electric-car manufacturer also reduced the starting price of the Model S, its flagship sedan, to $69,420, making it more aggressively priced against its competitors.
Based on its recent updates, Tesla does not seem to be holding anything back this fourth quarter, and it seems to be revving up for an even more industry-shaking move. These strategies could ultimately be the defining factor in the electric car maker’s attempts at meeting its ambitious goal of delivering half a million cars this 2020.
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
