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Tesla Semi rival Nikola sues for $2 billion over alleged patent infringement
Tesla Semi rival Nikola Motors has filed a $2 billion lawsuit against the California-based electric car and energy company. According to trucking startup, the Tesla Semi’s design infringes on the patents of the Nikola One, its hydrogen fuel cell-powered sleeper cab.
Nikola’s complaint outlines several design aspects of the Semi that were allegedly copied from the One. Among these are the Semi’s wraparound windshield, mid-entry door, front fenders, and the electric truck’s aerodynamic body. The similar drag coefficient between the Nikola One (0.37) and the Tesla Semi (0.36) was also cited as further evidence that the Elon Musk-led company copied Nikola’s design.
The lawsuit also stated that Tesla, at one point, attempted to hire Nikola’s chief engineer not long after the One was unveiled to the public. Furthermore, a cease and desist letter was sent to Tesla before the unveiling of the Semi, asking the Elon Musk-led company to hold off on the vehicle’s announcement until its patent issues with Nikola were resolved. Tesla, however, opted to ignore the request.
Overall, Nikola claims that the Tesla Semi is causing “confusion in the market,” and it is already harming its business. The startup further stated that the similarities between the Semi and the One would result in damages to the Nikola brand, considering the problems exhibited by Tesla’s vehicles. An excerpt from Nikola’s lawsuit could be found below.
“Tesla’s design has caused confusion among customers. The confusion has diverted sales from Nikola to Tesla. Further, any problems with the Tesla Semi will be attributed to the Nikola One, causing harm to the Nikola brand.
“For example, Tesla has had problems with its batteries starting fires and its autonomous features causing fatal accidents. Should these problems arise with the Tesla Semi, the market will attribute these problems to Nikola because of the similarities between the two vehicles.
“Customers will also impute the Tesla Semi’s limitations (distance and charging time) to Nikola, which will make Nikola’s product less appealing to customers. Nikola and Tesla are offering competing technology solutions (hybrid versus pure electric). Diverting sales from Nikola to Tesla decreases the chance that Nikola’s technology will be adopted as the standard for alternative fuel semi-trucks.
“Tesla’s infringement has harmed Nikola’s ability to attract investors and partners because investors can now partner with Tesla to have an alternative fuel semi-truck. Nikola estimates its harm from Tesla’s infringement to be in excess of $2 billion.”
In a statement to The Verge, a Tesla spokesperson dismissed the lawsuit.
“It’s patently obvious there is no merit to this lawsuit,” the Tesla spokesperson said.
Nikola has been raising its anti-Tesla game as of late. Just recently, we reported on the startup throwing shade at the Elon Musk-led company by stating that it would be refunding 100% of the reservations placed for its hydrogen fuel cell-powered trucks. Seemingly taking a dig at Tesla’s finances, Nikola boasted that it had already received more than $8 billion worth of pre-orders for its vehicles, and that has never used any deposit money to fund its operations.
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
