Tesla Semi rival Freightliner recently revealed that its test fleet of all-electric commercial trucks has successfully crossed 700,000 miles of real-world travel. In part to several return-to-base type operations, including local and regional pick-up and delivery, Daimler Communications Manager Fred Ligouri detailed the trips and development of its eM2 box truck and eCascadia Class 8 tractor-trailer, the two vehicles responsible for the 700,000-mile travel statistic thus far.
The all-electric vehicle market is raging with competitors, and it goes far beyond the passenger car sector. With Tesla being the dominating force within electric passenger vehicles, fending off competition from several big-name manufacturers, the commercial vehicle sector is definitely wide open. Several companies are testing out all-electric commercial vehicles, and nobody has brought anything to the market that is being mass-produced at the moment. The Tesla Semi has been delayed on several occasions due to battery constraints, and other companies, like Nikola, have disappeared. It’s not to say that there won’t be a dominating company in this sector in the future, but up to this point, it is really anyone’s race.
Daimler Trucks’ line-up of commercial electric vehicles (from left to right): Freightliner eM2, Freightliner eCascadia, Thomas Built Buses Saf-T-Liner C2 Jouley, FUSO eCanter [Credit: Daimler North America]
With that being said, Freightliner believes they have what it takes to derail the hype that coincides with the Tesla Semi. After completing so many miles of real-world testing, Ligouri believes that Freightliner is moving closer to putting its all-electric trucks on the road as testing provides its engineers with valuable feedback from drivers who are giving honest opinions about the vehicles moving forward.
“These are real trucks hauling real freight in the real world and racking up zero-emissions mile after mile — in excess of 700,000 thus far,” Ligouri told Inverse. “Through this process of co-creation with our customers, we are ensuring durability and reliability for series-built trucks, incorporating purposeful innovations, and furnishing the opportunity for more and more fleets to experience eMobility.”
Freightliner is in no rush to put anything out before it’s absolutely ready. There are currently 38 preproduction trucks traveling around Southern California to develop modifications and improvements as the truck moves closer to its production stage. The testing phase is apart of Daimler’s Battery Electric Freightliner Customer Experience Fleet. Drivers are responsible for reporting suggestions, dislikes, and areas of improvement to the manufacturer, who considers each comment.
The trucks aren’t prepared for extremely-long and treacherous routes quite yet. The eM2 box truck packs only 230 miles of range, while the eCascadia can take drivers 250 miles per charge. It’s undoubtedly low compared to regular Semi-trucks, but it’s not to say that it won’t improve. And, after all, it travels with zero-emissions.
While Freightliner has an impressive statistic in its 700,000 miles of travel with its two all-electric trucks, it surely doesn’t have the only Semis on the road that are all-electric. The Tesla Semi has made some runs from Fremont, California, to Sparks, Nevada, and has been tested in real-world conditions as well. Additionally, several new sightings of the Tesla Semi have been reported recently, showing Tesla is undoubtedly working to pinpoint a date for a future production run of its all-electric commercial vehicle. After the recent promotion of Jerome Guillen from Automotive President to President of Heavy Trucking, it is evident Tesla is looking to make major strides in Semi development in 2021.
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
