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Tesla poised to streamline China’s Model Y production with next-gen casting machine
It appears that Tesla China is making the necessary preparations to adopt a streamlined production process for the Model Y, and perhaps even the Model 3, in Gigafactory Shanghai. Signs of such a strategy was recently revealed in a drone flyover from Tesla enthusiast Wuwa Vision, who was able to capture images of an extension to the Phase 1 building’s body stamping area.
The tail end of Gigafactory Shanghai Phase 1 is widely considered to be allotted for body stamping activities. The section was completed together with the rest of the Phase 1 building last year before the construction of the Phase 1.5 zone (a battery and powertrain assembly facility) started. Interestingly enough, the recent drone flyover shows that workers are now expanding the body stamping area.
What’s more, the construction in the body stamping workshop involves what appeared to be deep excavations, suggesting that the area will be hosting a large machine, or at least one that is larger than the ones used in the existing Model 3 line. Patents from Tesla and statements from CEO Elon Musk have hinted at such a process—one that can very well revolutionize the Model Y’s production in China.
Interestingly enough, the massive casting machine seems to be going to the Phase 1 building, which is widely believed to be allotted only for the Model 3. The reasons behind his have not been revealed by Tesla, though it’s plausible that the new casting machine may also be used for the Model 3’s production. Otherwise, this could suggest that the Model Y may begin production in the Phase 1 area, at least until Phase 2A is complete. Such a strategy would allow Tesla to start producing the crossover despite the second phase of Gigafactory 3’s buildout still ongoing.
Last July, a patent application from Tesla was published that pointed to the utilization of a giant casting machine for the production of electric vehicles. The new casting machine will feature a central hub to receive several dies that are then assembled into specific portions of a vehicle frame before being cast. The patent, in a way, reflected Elon Musk’s comments during his appearance at the Ride the Lightning podcast, where he discussed some of the manufacturing improvements in the Model Y.
“There are some manufacturing improvements for the [Model] Y. The rear underbody we’re moving to an aluminum…casting instead of a series of stamped steel and aluminum pieces. When we get the big casting machine, it’ll go from 70 parts to 1 with a significant reduction in capital expenditure on all the robots to put those parts together,” Musk said.
Musk has mentioned this large casting machine multiple times, including in his recent appearance at the Third Row Podcast, where he mentioned that the idea was amusingly inspired by a diecast Tesla Model S on his desk. Speaking about his thought process, Musk noted that he thought the Model S diecast “doesn’t cost much, and it looks pretty detailed.” Thus, he thought that it might be a good idea to “make this bigger.”
The Model Y’s giant casting machine and its results have been teased in the ongoing teardown of the vehicle from automotive veteran Sandy Munro. Compared to the Model 3, the Model Y’s casts are larger, and the body of the car seems far more refined. With such a system in place, Tesla would be able to produce the Model Y in a faster, more efficient manner. This is extremely valuable for Tesla, since the Model Y is poised to be its most high-volume vehicle yet, with Musk stating that the crossover would likely outsell the Model S, Model X, and Model 3 combined.
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
