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Tesla Semi returns to Des Moines, IA as road tests and customer visits continue

[Credit: Gavin Wright/Instagram]

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Just a few days after visiting UPS’ hub in Addison, IL, the Tesla Semi has been spotted in Des Moines, IA. The Semi’s interstate travels appear to be part of the company’s continued road tests, which also involve visits to some of its reservation holders.

This is actually not the first time the Tesla Semi was photographed in Des Moines. Last April, the matte black Tesla Semi, an operational prototype that has not been spotted on roads lately, was sighted being transported heading east into I-80 in the Des Moines, IA area. Des Moines hosts the headquarters of Ruan Transportation Management Systems, one of Tesla’s reservation holders for the Semi. 

The Tesla Semi spotted in Des Moines, IA. [Credit: Nitecraller/Reddit]

Ruan noted in an announcement back in January that it had been in touch with Tesla about the upcoming all-electric long-hauler even before the Semi was unveiled in November. Over the months leading up to the vehicle’s reveal, Ruan was invited by Tesla to take part in on-site meetings and discussions about the vehicle.

Ruan announced an order of 5 Tesla Semis in January, though it has not provided an update since then. Considering that the Tesla Semi has been making the rounds visiting some reservation holders like J.B. Hunt and UPS, it would not be too surprising if Ruan’s headquarters would soon get a visit from the prototype electric truck as well.

Tesla’s recent visits and sightings are quite notable, in the way that the company appears to be adopting a more open stance about the vehicle. Anecdotes from members of the Tesla community fortunate enough to come across the Semi indicate that the team accompanying the truck are incredibly willing to answer any questions about the long-hauler. Apart from this, the truck’s recent visits to reservation holders like J.B. Hunt and UPS were also a lot more hands-on and interactive. The truck’s recent visit at the Addison, IL UPS hub, for one, even involved rides (and seemingly even test drives) in the vehicle.

Tesla had around 2,000 reservations for the Semi as of the Q1 2018 earnings call last May. The company has not issued an update on the number of pre-orders for the truck since then, though Elon Musk noted during the Q2 2018 earnings call that Tesla is still in the process of improving the vehicle’s capabilities before it enters production.

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The Tesla Semi could be the company’s most disruptive vehicle in its lineup, considering that the trucking industry is responsible for the transportation of up to 71% of food, retail goods, construction supplies, and other cargo delivered to customers and businesses every day. The industry is steadily growing as well, with the trucking market generating $700.3 billion in economic activity last year, a 3.5% increase compared to the $676.6 billion it made in 2016.

Just like Tesla’s other vehicles, the Semi boasts impressive specs. The electric truck is powered by four Model 3-derived electric motors, which give it instant torque. The Semi is also rated as a Class 8 truck, and is listed with a 0-60 mph time of 5 seconds flat when accelerating without cargo. The Semi is expected to be released in two variations — a 300-mile short-range variant and a 500-mile long-range version. That said, Elon Musk has noted that the long-range Semi could have closer to 600 miles of range per charge.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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