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Tesla Gigafactory 3 construction in China begins with rapid buildout of perimeter fence
Tesla’s Gigafactory 3 in Shanghai is beginning to take shape, with construction work on the facility entering its first phases. Drone footage taken last Wednesday, for one, recently revealed that workers have seemingly finished laying a perimeter fence around Tesla’s 864,885-square meter plot of land in Shanghai’s Lingang Industrial Zone, paving the way for more work to be done.
The drone footage of Gigafactory 3’s perimeter fence comes just over a week after Shanghai Mayor Ying Yong and Vice Mayor Wu Qing met with Tesla’s leaders in China to check out the company’s new vehicles like the Model 3. During their visit, the officials urged Tesla and other parties involved in the facility’s construction to expedite the buildout of Gigafactory 3.
Tesla’s timeframe for Gigafactory 3 has always been ambitious. When the company initially announced that it plans to start vehicle production in the facility roughly two years after the site’s construction begins, many were dismissive. Tesla critics were quick to note that such a timeframe is too ambitious. Wall Street was equally skeptical, with Consumer Edge Research senior auto analyst James Albertine dubbing Gigafactory 3’s timeline as simply “not feasible.”
Tesla, for its part, eventually opted to change its initial timeline for the facility. Instead of taking a more conservative stance, though, Tesla did the opposite, stating in its Q3 2018 vehicle production and deliveries report that it would be accelerating the construction of Gigafactory 3 even more. Tesla further noted that it expects the project to be a “capital efficient and rapid buildout, using many lessons learned from the Model 3 ramp in North America.”
While the timeframe for Gigafactory 3 is undoubtedly ambitious, the company does enjoy the favor of the Chinese government, allowing Tesla to tap into local resources and manpower. Seemingly as a response to questions about Tesla’s ability to gain funding for the project, for example, reports emerged that local Shanghai banks have given the electric car maker low-interest loans amounting to 30% of the factory’s estimated costs. Tesla’s bid for the 864,885-square meter plot of land also went unchallenged, enabling the company to quickly prepare for the facility’s construction. With this in mind, it appears that the rapid buildout of Gigafactory 3’s perimeter fence is simply yet another sign that the government fully supports the project.
Chinese Media: After Tesla China announced the new pricing structure of Model S and X, many potential customers rush to their nearest Tesla stores to check out the vehicles, many of them were ordered right at the stores, demand largely increased. $TSLA #Tesla #China #TeslaChina pic.twitter.com/NnYUbvsbg4
— vincent (@vincent13031925) December 16, 2018
Gigafactory 3 will play a considerable role in Tesla’s expansion into the Chinese market. By producing vehicles locally, Tesla would be able to avoid the import tariffs placed on its vehicles coming from the United States, while allowing Tesla to release competitively priced cars to go against lower-priced EVs being produced by local carmakers.
China stands as the world’s largest market for electric cars, being a country that is aggressively pushing for sustainable transportation. With this in mind, Tesla’s success in the country would likely be dependent on how it could target the greater Chinese auto industry with its lower-priced vehicles. While the Model S and Model X are mostly seen as status symbols for the successful and wealthy, the luxury sedan and SUV nonetheless cater to the country’s upper class, which represents a much smaller market. With vehicles such as the Model Y and the Model 3 saturating the country from Gigafactory 3, Tesla could tap into China’s ever-growing mainstream electric car market, which is on pace to hit a milestone of 1 million EVs sold in 2018.
Watch the progress of Gigafactory 3 in the video below.
https://youtu.be/rx3mXjQg46U
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
