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Tesla’s Cybertruck does not need traditional ‘truck people’s’ support to succeed
The Tesla Cybertruck is not a vehicle that could be appreciated by everyone. Uncompromisingly futuristic and angular to a fault, the vehicle looks less like a traditional pickup compared to other all-electric trucks like the Rivian R1T. Thanks to its polarizing looks, Tesla critics have predicted that the Cybertruck would be a flop, since the vehicle would not appeal to traditional “truck people,” who have preconceived notions about what a pickup should look like.
To be fair, the Cybertruck has received harsh criticism from a good number of classic pickup truck enthusiasts. Yet, despite this, the idea that the all-electric truck would fail because it would not appeal to a “typical Ford F-150 buyer” will likely be proven wrong. In fact, if one were to look at the history of Tesla’s vehicles, particularly the Model 3, one would note that the electric car maker’s cars do not really need the support of an existing demographic to be a success.
Tesla made a rather strange decision when it decided to start the Model 3’s rollout on the United States. During that time, some of the company’s critics pointed to the alleged folly of this strategy, particularly as the US’ luxury sedan market was in a steep decline. Yet, when Tesla hit its stride with Model 3 production, this bearish thesis was proven wrong. American car buyers bought the electric sedan, ending 2018 as the best-selling luxury car on the market with over 145,000 units sold.
Tesla’s later discussions on Model 3 trends featured interesting insights about the vehicle and why it continued to buck the trend by thriving despite the decline in the US’ sedan sales. As it turned out, the Model 3 did not just convert existing luxury car buyers when it was released — it actually inspired a new type of electric car buyer. What are these customers? They were people who have never considered buying a premium vehicle before.
This is why some of the top vehicles traded in for the Model 3 include more affordable vehicles like the Toyota Prius and the Honda Accord. By offering the best tech and safety at a price point that’s justified by a significantly lower total cost of ownership, Tesla ended up encouraging customers to acquire the Model 3, even if they have to make a stretch to do so. By doing this, the Model 3 was essentially able to create a market for itself. The same could happen to the Cybertruck.
Thus, while it is true that the Cybertruck may never convert die-hard “truck people” who are loyal to veteran brands, the vehicle may also easily attract buyers who were previously not in the market for a pickup truck at all. This is already hinted at by some reservation holders who have shared their insights online, with some admitting that they are not “truck people” at all, but they are attracted to the Cybertruck’s cost and features nonetheless. Starting at $39,990, the Cybertruck is only a bit more expensive than the Standard Range Plus Model 3, which is a sedan.
The Tesla Cybertruck is still more expensive than entry-level pickups on the market, but it is priced very competitively against full-sized, double-cab pickups from rival carmakers. The vehicle is also loaded to the teeth with standard features that would otherwise require an aftermarket modification, such as its motorized tonneau cover. Couple this with a lower cost of ownership compared to massive fuel and maintenance costs incurred by conventional gas-guzzlers like the Ford F-150 and the Cybertruck becomes a very attractive vehicle, pickup veterans and otherwise.
H/T u/Dandan0005/Reddit
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
