Rumors have recently emerged from China suggesting that Tesla is looking to tap Switzerland’s Bühler as another Giga Press supplier. Similar to IDRA, Bühler is also a manufacturer of large-scale die-casting machines.
The rumor was initially shared by Tesla and EV industry watcher Chris Zheng on Twitter. Citing information from employees of a Chinese car startup, Zheng noted that China would have a number of vehicles in mass production next year that will be using integrated die castings like the Tesla Model Y. These companies reportedly benchmark and analyze Tesla and its vehicles.
“Tesla’s Giga press supplier will be replaced from Italy’s IDRA to Switzerland’s Bühler next year. The latter is also one of the world’s 6 largest die-casting giants. It rejected Tesla’s demand for a 6000t-level Giga press in 2019, but now their products offer better performance,” Zheng wrote on Twitter.
This is undoubtedly a rumor for now, though it is one that is extremely interesting. Teslarati has reached out to Tesla for a comment on the rumor and will update this story if or when we receive a response.
While the idea of IDRA being replaced by Bühler may sound too extreme, it is possible that Tesla would tap the resources of another die casting machine maker for its upcoming vehicle production ramp. Bühler is an interesting choice nonetheless, especially since the company was one of the firms that rejected Tesla’s proposal for a 6,000-ton Giga Press a few years ago.
Elon Musk himself mentioned this during the Cyber Rodeo event. According to Musk, Tesla had approach the world’s six top die-casting machine makers, and all but IDRA considered the construction of a Giga Press. Tesla has since proven that Giga Presses work, however, so it’s not surprising to see other companies also trying their hand at creating Giga Press-level machines.
“It’s a revolution in car manufacturing to basically make a car out of three major parts — a cast rear, a structural pack, and a cast front. So what you’re looking at are the biggest casting machines ever made. It’s kind of crazy thing to make a car this way. It’s never been done before.
“When we were trying to figure this out, there were six major casting manufacturers in the world. We called six. Five said’ no,’ one said ‘maybe.’ I was like ‘that sounds like a yes.’ So with a lot of effort and great ideas from the team, we’ve made the world’s biggest casting machine work very efficiently to create and radically simplify the manufacturing of the car,” Musk said.
A look at Bühler’s official website shows that the company is also developing giant die-casting machines that offer the highest productivity.
“Automotive manufacturers are currently rethinking production in many ways. Our Carat series enables them to put their ideas of even larger parts into reality, and we support our customers in developing the processes to do so. We see a huge increase in the demand for ever larger machines. With our Carat 840 and Carat 920 we can offer our customers solutions for large structural parts with complex geometries and new body-in-white parts,” Cornel Mendler, Managing Director of Bühler Die Casting, said.
Bühler’s Carat 840 and Carat 920 machines feature locking forces of up to 92,000 kilonewtons (kN). They are also designed to produce as little scrap as possible. “Bühler’s vision for the future of the die casting industry is: 0% scrap, 40% less cycle time, and 24/7 uptime. Advancing further towards this vision is even more important: The larger the castings, the bigger the lever to minimize production costs by reducing scrap, cycle time and increasing uptime of the die-casting system. The design of the Carat 840 and Carat 920 positively impact the quality of these complex, thin-walled parts which require an extremely powerful and accurate injection unit and a homogenous locking force application,” the company wrote in a press release.
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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
