News
Tesla Semi rival Daimler on electric trucks: ‘The best battery solution is going to win’
Amidst the emergence of all-electric long-haulers like the Tesla Semi, an established brand is adopting an optimistic stance about the trucking industry’s upcoming electrification. During a recent media roundtable at the American Trucking Associations’ annual Management Conference & Exhibition, CEO of Daimler Trucks North America Roger Nielsen stated that the industry’s transition towards electrification is happening at a “greater speed than expected.”
Daimler is no stranger to the idea of using electric trucks as a viable alternative to diesel-powered vehicles. Last June, Daimler took the wraps off the all-electric Freightliner eCascadia heavy-duty, which has a range of 250 miles per charge and the capability to be charged to 80% in 90 minutes. The company also unveiled the mid-duty Freightliner eM2, which offers a 230-mile range and the ability to recharge 80% of its battery in 60 minutes.
Tesla has not released the actual specs of its battery for the Semi, though Elon Musk noted that the company would be launching two versions of the vehicle — a 500-mile long range variant and a 300-mile short range version. Musk’s later statements teased improvements to the Semi’s range as well, with the CEO stating that the vehicle would likely have closer to 600 miles of range per charge. When asked by reporters about his stance on the Tesla Semi, Nielsen noted that battery quality and energy consumption would be the determining factor in the emerging electric truck market.
“The best battery solution is going to win. It’s all about energy consumption,” he said, according to Fleet Owner.
That said, the Daimler executive remains optimistic about the German legacy carmaker’s chances in the electric truck industry. Nielsen, for one, noted that he believes Daimler would have the highest number of electric trucks in the commercial trucking segment by 2020. Apart from this, Nielsen also stated that Daimler’s offerings could have an edge against the Tesla Semi, since customers would likely opt for electric vehicles that are similar to trucks they are already familiar with. With this in mind, Nielsen believes that the Freightliner eCascadia and the eM2 would probably perform very well.
“That helps create a smooth transition from a diesel-powered truck to an electric-powered truck,” Nielsen said.
While the Tesla Semi is yet to enter production, the all-electric long-hauler has the potential to be a serious disruptor in the trucking industry. The vehicle’s range and performance, coupled with the support of the upcoming Megacharger Network, would allow the vehicle to be competitive even against diesel-powered semi-trailers. Tesla is also in the process of improving the Semi, as noted by the company’s President of Automotive Jerome Guillen during the second quarter earnings call.
“Obviously, it’s going to be better than what we showed last year. There is a lot of improvements,” he said.
Tesla has so far been tight-lipped about the Semi’s improvements since its launch last year, though recently published patents have teased a number of compelling features that might make it to the vehicle. Last month, for example, a patent for an automatic tire inflation system for the Semi was published. While the ATIS would likely be used initially for the Semi, the feature could pave the way for the off-road capabilities of Tesla’s other vehicles, such as the Tesla pickup truck, the Model Y, and the Model X.
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.”
News
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
