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Elon Musk hints at more compact Tesla Cybertruck with same space and utility
Tesla CEO Elon Musk has hinted that the Cybertruck might have more compact dimensions when it rolls out in 2021. The idea came after a Tesla owner-enthusiast’s video showed that the Cybertruck may not fit in a normal, residential-sized garage. Based on the Tesla CEO’s recent tweets, it appears that Tesla may be able to shave off a few inches off the Cybertruck’s rather bulky body without compromising anything in terms of utility and looks.
Musk’s comments came after Model 3 owner Tesla Raj posted a video featuring an augmented reality app estimating how the Cybertruck would look like in a target area. When Raj used the app to see if it would fit in his garage, he found the 231.8 inch-long Cybertruck was just a bi too long for the space in his home.
Musk responded to these findings, stating that the Cybertruck could receive a design revision that would make the car a bit easier to fit in a traditional American garage. “We can prob reduce width by an inch & maybe reduce length by 6+ inches without losing on utility or aesthetics. Min height is below 75 inches when air suspension set to low. Will post exact number soon,” Musk said.
We can prob reduce width by an inch & maybe reduce length by 6+ inches without losing on utility or esthetics. Min height is below 75 inches when air suspension set to low. Will post exact number soon.
— Elon Musk (@elonmusk) December 7, 2019
Based on Musk’s tweet, the more compact Cybertruck would have a width of 78.8 inches instead of the original 79.8 inches, and its length will be reduced to to 225.7 inches from 231.7 inches. This should make the Cybertruck easier to fit even in 20×20 garages. Parking the vehicle and maneuvering the massive all-electric machine would likely be easier as well. What’s more remarkable is the Tesla CEO explained that these reductions won’t cause any compromises with the vehicle’s stellar utility and iconic aesthetics. Musk has also promised no loss in cargo capacity or interior space with the vehicle’s more compact size.
After providing some updates on the Cybertruck’s dimensions, Musk also received a question about the approximate size of the “smaller” Cybertruck that he has hinted at in the past. Musk stated that such a vehicle would likely require a full redesign, though he noted that the truck’s dimensions will “probably (be) ~73 inches (height) or ~185 cm width”. This is compared to its 75-inch height when the vehicle’s adaptive suspension is fully-lowered, and its 202.7 cm width in its current build. Such a vehicle will still be significantly smaller to the Cybertruck, even considering Elon Musk’s more compact projections.
That will require a full redesign, but probably ~73 inches or ~185 cm width
— Elon Musk (@elonmusk) December 7, 2019
That being said, it seems that a significant portion of the Tesla community prefers the Cybertruck in its current, massive form. A few followers of Musk’s Twitter account even stated that the Cybertruck will never need to be parked in a garage anyway, as its stainless steel design is “completely impervious to weather” and that its solar-equipped tonneau cover begs to be exposed to the sun at all times. Musk, for his part, appears to be weighing both sides when it comes to the Cybertruck’s size.
A new Cybertruck design that that is more compact could prove to be beneficial for Tesla in the long run. While the company has already received at least a quarter-of-a-million pre-orders for the original design for the truck, a smaller version may entice those who were worried about the size of the truck to pull the trigger and buy Tesla’s first pickup. The smaller design will appeal to those who are interested in parking the all-electric powerhouse in their garage, or at least those who want a pickup but prefer a smaller design that would be easier to drive through narrow streets and easier to park in busy lots.
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
