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Tesla Cybertruck’s ‘simple’ design goes way deeper than you think
Elon Musk’s Cybertruck is Tesla’s boldest vehicle yet. With its sharp edges and its unapologetically futuristic look, the Cybertruck appears to be a vehicle that is designed to shock and polarize. Yet, behind its almost brutalist exterior lies a clever theme that gives the Cybertruck the potential to be Tesla’s most disruptive vehicle to date, mainly due to its production efficiencies that are tied to its very exoskeleton.
When Tesla unveiled the Cybertruck on Thursday night, a good number of netizens and those who were in attendance at the event were shocked. The massive vehicle was clad in cold, hard, unpainted stainless steel, and its sharp triangular design makes it look extremely different from every other pickup truck on the market. Elon Musk has been saying that the Cybertruck will be polarizing, and it definitely was.
Unlike Tesla’s other vehicles like the Model S, X, and Model 3, the Cybertruck uses an exoskeleton that is made from a new variant of 3000 series stainless steel that’s cold-worked several times. The material is tough and is not unlike the steel used in SpaceX’s gigantic Starship. With this system in place, Tesla is able to skip the traditional stamping process for the vehicle’s body panels. Instead, the Cybertruck’s frame will be laser cut and folded, much like an origami that’s made of steel.
And just like actual Japanese origami, the Cybertruck’s stainless steel body is actually folded into shape instead of being cut up into several pieces and stamped multiple times by massive machines, according to an exclusive look into the vehicle by MotorTrend. Considering that the stamping process is very capital intensive (stamping machines are among the largest and most expensive components of a car factory), Tesla’s origami-style design for the Cybertruck becomes a very cost-effective way to produce a massive, durable, futuristic vehicle at relatively low cost.
Elon Musk recently elaborated on this in a recent tweet, stating that the Cybertruck’s 3mm-thick stainless steel exoskeleton is not very friendly to stamping machines. “Reason Cybertruck is so planar is that you can’t stamp ultra-hard 30X steel, because it breaks the stamping press,” Musk wrote.
Using stainless steel also allows Tesla to skip out on the painting of the vehicle, allowing the company to not use a paint shop in the vehicle’s production process. This results in further savings, while also avoiding the paint headaches that Tesla had to deal with when it ramped its previous vehicles, particularly the Model 3.
The absence of the stamping press and the paint shop in the Cybertruck’s production has another advantage, in the way that the vehicle’s production line could probably be done in a relatively small area. Without giant stamping presses and an expansive paint shop, after all, Tesla could produce the Cybertruck in an assembly line that is designed for speed.
The EV community was shocked by the starting price of the Cybertruck just as much as it was shocked by the vehicle’s design. Starting at $39,990, the base Cybertruck is very competitively priced and is chock full of tech that its competitors simply cannot hold a candle to. Couple this with a design that is optimized for efficiency, and the vehicle could very well be a disruptor on its own right in the highly-competitive pickup truck segment.
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
