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Tesla Semi spotted in Supercharger between mysterious Lathrop facility and Fremont factory
Tesla’s eye-catching red Semi prototype was recently sighted paying a visit to a Supercharger located between the company’s mysterious Lathrop facility and its main factory in Fremont, CA. Similar to other sightings of the vehicle, the all-electric truck seemed to have attracted attention from Tesla enthusiasts in the area.
Tesla enthusiast John Grinley was staying at a hotel in Dublin, CA this past Saturday when he decided to stop by a nearby Tesla store so he could test drive a Model 3. While spending some time at the location, the aspiring Model 3 owner was asked by the staff if he would like to stay a little longer to see the Tesla Semi in person. Not wanting to miss the opportunity, Grinley opted to wait.
Just as hinted at by the store’s staff, the Tesla Semi did arrive at the Dublin Store, parking itself at a Supercharger. Grinley, together with around 10-15 people who were at the store for test drives, were treated to a rare, up-close look at the all-electric long hauler. The enthusiast was able to capture a couple of photos, as well as a video of the vehicle parking at a charging spot.
Tesla has stated it would be using the Semi for its own operations, and if sightings of the vehicle are any indication, this does appear to be the case. This is one of the reasons why several Semi sightings have been in areas that are close to or en route to a key Tesla location. Dublin, for example, lies between Tesla’s Fremont, CA factory and the electric car maker’s massive, mysterious Lathrop facility, which is currently under construction.
Tesla has been incredibly secretive about the nature of the Lathrop site, though speculations have suggested that the location could be utilized either as a parts distribution center, or even a site for the production of the Semi. Recent photos taken inside the massive facility, for one, show some remarkable similarities with the interior of Gigafactory 3 in China, which, of course, is intended for electric vehicle production.
Tesla has been road-testing the Semi since it was unveiled almost two years ago. Since then, both Semi prototypes have been sighted in multiple parts of the country. At times, the vehicles were spotted bobtailing (traveling without a trailer attached), while at other times, the all-electric trucks were seen pulling a trailer. More recently, the red-wrapped Semi prototype has been seen pulling a trailer filled with concrete weights, as could be seen in the recent sighting above.
Just like Tesla’s existing lineup of vehicles, the Semi is expected to have the potential to disrupt the highly-lucrative trucking market. Thanks to its four Model 3-derived electric motors, the Tesla Semi boasts a lot of power and torque, allowing the vehicle to accelerate from 0-60 mph in 5 seconds flat without a trailer. With a full load, the Semi is still capable of reaching highway speeds in around 20 seconds. This acceleration could be seen in several sightings involving the vehicle, proving that when it starts getting released, the Semi would likely outrun its fossil fuel counterparts on a regular basis.
Watch the Tesla Semi visit the Dublin store in the video below.
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
