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Tesla Cybertruck is in the crosshairs of many but Elon Musk isn’t worried
There is a point to be argued that the attention attracted by the Tesla Cybertruck is a double-edged sword. Granted, the vehicle has captured the interest of both the EV and traditional auto community primarily due to its stark XY design, but with this comes a ton of scrutiny from all sides. And in the months since its unveiling, the Cybertruck has received a healthy dose of scrutiny.
Critics pointing out negatives about Tesla’s upcoming vehicles is nothing new, and in the Cybertruck’s case, some of these were unfounded. Yet there were valid concerns about the vehicle. The truck is massive, for example, to the point where AR simulations of the vehicle indicated that it would not fit in an average 20×20 garage in the United States. Others, interestingly enough, questioned the vehicle’s capabilities as a legitimate off-roader due to its weight.
In true Tesla fashion, the electric car maker appears to have taken it upon itself to make sure that it addresses these criticisms. Elon Musk, for one, noted in a recent Twitter post that the Cybertruck’s production version would be about 3% smaller than the vehicle featured at the unveiling. Such a reduction will likely not affect the spaciousness or utility of the all-electric pickup, but it will enable the Cybertruck to fit in conventional garages.
This automatically opens up a whole new market for the Cybertruck. Following its unveiling, members of the Tesla community who were fortunate enough to experience a test ride in the vehicle noted that the Cybertruck is incredibly large. Thus, it did not take long before reservation holders indicated that they would likely keep the truck outside their garage due to its size. With a 3% reduction in size, this does not have to be the case.
Adjustments to the Cybertruck’s window sill height also makes the vehicle less intimidating for both passengers and drivers. With a lower window sill height, the Cybertruck will feel less like a vehicle that’s essentially swallowing its occupants. For territories beyond the US where large trucks are not as common, this particular detail would likely be appreciated by potential buyers.
Apart from adjustments to its size, Elon Musk mentioned that the Cybertruck’s air suspension system would be completely different from those used in the Model S and Model X. This suggests that unlike the two flagships, both of which are designed for the city, the Cybertruck’s suspension is intended to be used under rough and tough conditions. Musk said as much, stating that the Cybertruck is being designed to dominate in events like the Baja 1000, an off-road racing series where the auto industry’s best trucks compete against each other.
Just recently, truck enthusiasts from The Fast Lane Car YouTube channel expressed their doubts about the Cybertruck’s off-road capability due to the vehicle’s “monstrous” weight and lack of low-speed gearing. The hosts even mentioned the vehicle’s ground clearance. This is quite surprising as the Cybertruck’s 16″ ground clearance dwarfs that of popular trucks like the Ford F-150 Raptor, matching monster trucks like the Hummer H1, a military vehicle that’s pretty much just converted for civilian use.
One thing that critics are prone to forget is the fact that Tesla never remains in one place. Yes, the Cybertruck may be a bit too large when it was unveiled, but this does not mean that its size could not be reduced. The vehicle may look heavy and daunting, but perhaps it would be lighter than expected when it gets to production thanks to better battery technology. And with suspension improvements hinted at by Elon Musk, the Cybertruck could very well set the standard for all-electric off-road vehicles for years to come.
It is easy to dismiss Tesla’s efforts because of the company’s lack of experience compared to veterans in the auto industry. But underestimating Tesla is a grave mistake. One just needs to look at the premium midsize sedan market to see this point. Prior to the Model 3, for example, the BMW 3-Series seemed like a wall that could not be broken. As it turned out, even established cars like the BMW M3 could be bested, and later, even dominated. With this in mind, popular off-roaders today are best advised not to underestimate the Cybertruck.
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.