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Tesla-style Giga Presses and Megacasts on the cards for Volkswagen’s future EV plans
With Tesla expanding its vehicle production capabilities through the deployment of facilities like Gigafactory Berlin and Giga Texas, the company’s lead in the electric vehicle sector has never been more evident. It is then unsurprising that some of Tesla’s competitors in the automotive segment are emulating some of the EV maker’s innovations to help them catch up in the electric car market.
Just last month, Volvo revealed that it would also be using Tesla-style megacasts for its next-generation electric vehicles. Volvo Solution Architect Vehicle Platform Mikael Fermer noted that the use of megacasts, which drastically reduce the number of components in a vehicle, would be the “biggest technology shift since we switched from wood to steel for car bodies.”
And now, Volkswagen also seems to be looking into the use of megacasts for its next-generation electric cars. VW is already a fairly successful electric vehicle maker among its legacy auto peers, but the company is still not quite as innovative as younger companies like Tesla. Tesla, for example, is already capable of churning out a Model Y in ten hours at Giga Berlin, but Volkswagen still takes about three times as much time to build the ID.3, a smaller electric car.
Volkswagen aims to improve its electric vehicle production process with its Trinity EV plant, a facility that’s expected to be operational in 2026. The Trinity plant is expected to improve EV production times for Volkswagen, which should be possible through the use of innovations such as large die castings and more automation. In a statement to Reuters, Volkswagen brand production chief Christian Vollmer noted that the company would achieve something big if it can produce electric cars in just ten hours.
“Our goal is clear: we want to set the standard with our production. If we can get to ten hours, we have achieved something big,” Vollmer said, adding that Volkswagen is already improving its productivity at a rate of about 5% per year.
Volkswagen is one of the world’s most experienced automakers, but it is quickly learning that building electric vehicles is a completely different ballgame. The company can already build cars like the Tiguan and Polo in 18 and 14 hours at its Germany and Spain plants, but its all-electric ID.3 still takes about 30 hours to build. Vollmer noted that improvements should be possible in the Trinity plant since the facility would allow the company to condense its operations.
However, it should be noted that Volkswagen does not plan to have Giga Presses at its new plant in Wolfsburg. Instead, the company plans to install the house-sized machines at a facility in Kassel, about 100 miles away, and simply transport the large die cast components by train.
Tesla, for its part, has noted that its efficiency in Gigafactory Berlin is due in no small part to its two Giga Presses, which apply 6,000 tonnes of pressure to make the rear underbody of the Model Y. Giga Berlin’s press shop can produce 17 components in less than six minutes for now, but with six more Giga Presses set to be deployed in the near future, the electric vehicle maker would be capable of producing its best-selling all-electric crossover even faster.
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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.”
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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
