News
Tesla’s partner IDRA shares insights on the Cybertruck Giga Press’ potential
Tesla’s next generation of vehicles will be built on the back of the Giga Press, a machine capable of producing massive, single-piece casts for critical components like an electric car’s rear underbody. In a recent video, IDRA, the company building the house-sized die-casting contraptions, shared some insights on the daunting machine’s development, its advantages, and its upcoming iterations like the 8,000-ton Giga Press that will be used for the Tesla Cybertruck.
In a recently posted video, IDRA General Manager Riccardo Ferrario explained that the Giga Press is specifically designed to be as environmentally-conscious as possible. Developed over several years, the Giga Press could provide automakers with a number of key advantages, such as less investments, less handling of parts, better quality, less energy consumption, and lower CO2 emissions. Consequently, these are things that are incredibly important to a company like Tesla, which has established itself as the frontrunner in the sustainable transportation movement.
#GigaBerlin #Gigapress
An important statement from the IDRA 🇮🇹 Group General Manager.
" what is GIGAPRESS and wich are GIGAPRESS innovative goals"
2 of them are already built on the GIGABERLIN.https://t.co/IWtPOzuQhT pic.twitter.com/pscXGmqm27— Gigafactory Berlin News (@Gf4Tesla) April 1, 2021
Much like Tesla’s electric car lineup, the Giga Press family is only getting started. As explained by the executive, IDRA is still looking to expand the Giga Press family, and recently, the company was able to do just that. Just last month, Ferrario remarked that IDRA received the first order for its largest machine yet—an 8,000-ton Giga Press specifically designed to produce parts for larger vehicles like pickup trucks and SUVs.
The IDRA executive did not name its customer for the order, though all signs are pointing to Tesla, a company that has already purchased numerous 6,000-ton Giga Presses from the Italian company. Tesla CEO Elon Musk has also mentioned that the Cybertruck’s rear underbody would be produced by an 8,000-ton die-casting machine, which is significantly larger than the Giga Presses used for the Model Y.
“We have increased our range of machines to encompass also another world first—an 8,000-ton die-casting press. And it is with great pride that I can announce, we have done it. It’s no longer just a dream or drawings on paper. It’s now reality. A reality that IDRA and the team behind the Giga Press have been able to execute in a very short space of time following the very high demand of our customer from all around the world.
“The first-ever order for an 8,000-ton machine has now been received in March 2021. We are so excited about taking the idea of the Giga Press a step further and applying it directly to the SUV and truck market, which is an area, until now, not fully explored. Full electric trucks for transportation of goods used by companies such as DHL or Amazon can enlarge the market of Giga Press,” the IDRA General Manager said.
Tesla is currently putting the pedal to the metal on the construction of Gigafactory Texas, where the Cybertruck would be produced. As such, IDRA would have to put in a lot of effort to ensure that it can deliver its largest machine to date on time. If the executive’s message is any indication, however, it appears that IDRA is just as excited to push the limits of the die-casting industry just as much as Tesla is eager to push the limits of electric cars. This suggests that the 8,000-ton Cybertruck Giga Press might make it to Giga Texas at just the right time for the start of the all-electric pickup truck’s production.
Watch IDRA’s latest video on its Giga Press machines in the video below.
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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
