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Tesla Semi gets closer to production amid test drive event for reservation holder
If Elon Musk’s initial timeframe for the Tesla Semi is accurate, initial production for the all-electric long-hauler should begin sometime this year. While Tesla has been tight-lipped about where the vehicle would be manufactured, the company appears to be showing confidence that the Semi is getting closer to production. Take, for one, the test drive events that Tesla has been holding with some of the Semi’s reservation holders.
On Wednesday, truck leasing company TCI Transportation shared a post on its official Twitter account. The company noted that they were visited by the Tesla Semi, and that some of its employees were even given test drives on the vehicle. Images from the event show TCI’s employees inspecting the all-electric long-hauler, and everyone in the event sharing a meal together.
TCI Transportation is not one of the companies that announced reservations for the Tesla Semi immediately after the vehicle was unveiled. Instead, the truck leasing company posted about its electric truck order last April, stating that they have ordered 50 units of the Tesla Semi. In its announcement, TCI noted that co-Presidents Ryan and Andrew Flynn were able to take the Semi out for a spin.
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- Tesla Semi visits TCI Transportation. (Photo: TCI/Twitter)
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- Tesla Semi visits TCI Transportation. (Photo: TCI/Twitter)
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- Tesla Semi visits TCI Transportation. (Photo: TCI/Twitter)
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- Tesla Semi visits TCI Transportation. (Photo: TCI/Twitter)
Tesla Semi visits TCI Transportation. (Photo: TCI Transportation/Twitter)
Perhaps interestingly, TCI’s recent post about the Tesla Semi saw the truck leasing company describe the all-electric long-hauler as a “new Tesla Semi Tractor Prototype,” a curious way of describing the vehicle. In its announcement last year, TCI simply called the vehicle as the “new Tesla Electric Semi truck.” While this difference could simply be a matter of simple syntax, the Semi’s new description from the leasing firm invokes the idea that the electric truck has probably been improved to a degree over the past year.
Tesla, after all, has been doing real-world tests using the Semi’s silver test mule. Not long after the vehicle was unveiled, the Semi had been spotted doing cargo runs or running routes across the United States — and it has not really stopped since. Even the matte black Semi prototype, which was recently wrapped in a stunning red color, has been spotted several times testing on America’s roads.
Through these tests, Tesla continues to refine the electric long-hauler, ensuring that the truck is at its best iteration possible when it enters production. Elon Musk already teased some of these improvements in the past. For example, Tesla initially announced two range options for the Semi — a 300-mile short range variant and a 500-mile long range version. In later statements though, Musk stated that the long-range variant of the Semi would have closer to 600 miles of range per charge.
When the Tesla Semi was initially unveiled, the vehicle attracted a notable amount of skepticism from some established players in the legacy trucking market. Daimler Trucks CEO Martin Daum, for one, infamously even joked that the specs Elon Musk quoted for the Semi suggest that the vehicle defies the laws of physics. In a more recent statement, though, Daum was far less dismissive. While the Daimler Trucks CEO still maintained that Tesla would have challenges breaching the trucking market, Daum nonetheless admitted that Tesla has shown that it has the determination to move forward.
“They’re fun; it’s an interesting market. We take every competitor seriously; Tesla has proved they really have the tenacity to really go through huge losses to capture the market. But trucking is a difficult business. They will learn the hard way; trucking is not like passenger cars where one size fits all. There’s a lot of variety in trucking… the United States is a highly competitive market, so as I said, they’re fun,” Daum said.
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
