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Tesla Cybertruck rivals: These are the titans waiting for Elon Musk’s all-electric pickup
Automotive industry veteran Sandy Munro is a familiar face and voice in the electric car sector. Recently, Munro completed a multi-episode series tearing down the Model Y, identifying the strengths and weaknesses of the all-electric crossover from top to bottom. With that project coming to an end, Munro has shifted his focus on Tesla’s next vehicle: the Cybertruck. Munro plans to begin producing a new series that will identify the finer points of the Cybertruck and its competitors, and what Tesla will have to do to disrupt the popular pickup truck sector, which is filled with brand loyalty.
Tesla’s Cybertruck, the all-electric pickup unveiled by the automaker in November 2019, is still about a year and a half away from production. However, its competitors are waiting for the uniquely designed pickup to begin its first production phases, anxious to determine whether the truck will do exactly what Tesla is doing in the sedan market: disrupt the sector by offering features and specifications that simply cannot be replicated.
Munro believes that Tesla will have its hands full competing with the GMCs, the Chevys, and the Dodges of the pickup market. Between the Dodge Ram, the Ford F-150, and the Chevrolet Silverado, 2,000,000 units were sold in 2019, and Munro thinks that Tesla will have extreme difficulties breaking through to loyal truck owners across the US. Pickup truck owners, after all, are dead set on sticking with a manufacturer they have bought from for years more often than not.
“In Michigan, truck brand loyalty is unbelievable. So, it’s going to be tough for Tesla to make a substantial dent in the market, and they’re going to need to pay close attention to what these competitors do,” Munro said.
Munro added that trucks are on a completely different playing field compared to the rest of the automotive industry. While sedans and SUVs are inclined to have many different variations and configurations due to highly customizable body shapes and types, trucks are entirely different. Pickups, for many years, have been centralized around the same design. This design has consisted of varying sizes of cabins and a bed. All of these things can be customized in terms of size, length, and depth to an extent. However, the overall design of the pickup truck has never really changed.
Sedans and SUVs, meanwhile, carry a nearly endless number of designs and technicalities that make them individualized and unique. This characteristic is something that trucks simply do not have, and Tesla was sure to highlight this during the Cybertruck’s unveiling event in November.
Munro’s video series on the Cybertruck intends to help solve the mystery of what truck a conflicted buyer should find next. It will go much further than simple specifications, he says. “We are going to be discussing things in a little more detail than just an overview or reading of the specs…but we are not tearing these things down,” he says while standing in front of three legacy automaker trucks.
The series is sure to shed some light on the more technical findings that Munro has on the currently available trucks. However, he intends to get his hands on the Cybertruck when it is eventually released, which could be his most anticipated teardown series yet.
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.