A Tesla Semi prototype was spotted in transport, presumably, after having completed several weeks of winter testing near its cold-weather testing facility outside of Delta Junction, Alaska.
Various sightings of the Tesla Semi from over the weekend suggest that the all-electric semi-truck was making its way down the western seaboard of the United States from Washington, through Oregon, and back to its Fremont, California test facility.
Video captures of a Tesla Semi being transported on the back of a semi-trailer shows the prototype’s salt-covered exterior as it makes its way back from cold-climate performance testing under snowy conditions.
Tesla Semi have done some #SosialDistancing @elonmusk hardcore testing? pic.twitter.com/keqweQ6GSh
— John D. (@Real_John_D) March 23, 2020
In January, Tesla noted in an email communication to Semi-truck reservation holders that the truck was undergoing hazard testing at its test facility in Fremont, California.
“Over the last few months, we have continued testing the trucks in real world conditions. We also spent time at a proving ground to evaluate the truck’s resilience over rougher road conditions. Using instruments mounted on the vehicle, we collected road input data to ensure the trucks can handle severely degraded roads. At our own Fremont test facility, we subjected the trucks to a number of high energy, discreet events such as curb strikes, pot holes, and other harsh inputs to confirm the truck is capable of handling common hazards.”
In the same communication, the company indicated that Tesla Semi has already completed “important engineering development checkpoints” and would be rolling out more “production-representative vehicles” vehicles in 2021.
Ahead of planned production, Tesla Semi would undergo several weeks of winter testing. The company has an extreme cold testing facility in Alaska where its vehicles, including the Tesla Model S and Model 3, undergo intense winter testing.
“In the short term, the team is gearing up for several weeks of winter testing to validate the truck’s performance in cold weather and low traction conditions. We are excited to share insights from the winter with you, as we will be able to highlight the major advantages of electric traction and motor control, which no diesel powertrain can match,” said the company in an email to a Tesla Semi reservation holder.
Actually I re-read the letter it says they will have limited volume production 2nd qtr of 2020. pic.twitter.com/A2hTYyTVdz
— chris (@chris31402370) January 9, 2020
Tesla has not confirmed where Semi-truck production will take place, only noting in its fourth-quarter earnings update letter that the facility would be in North America.
CEO Elon Musk indicated in the Q4 earnings call that Tesla Semi would be initially produced in limited quantity as the company focused efforts on increasing battery production capacity. Given the size of the all-electric truck and its energy needs, having a strong supply of battery cells is crucial to preventing a strain on supply for its consumer vehicles like the Model 3 and Model Y.
“So, the thing we’re going to be really focused on is increasing battery production capacity because that’s very fundamental because if you don’t improve battery production capacity, then you end up just shifting unit volume from one product to another and you haven’t actually produced more electric vehicles,” said Musk when asked about the Tesla Semi. “So, that’s part of the reason why we have not, for example, really accelerated production of the Tesla Semi because it does use a lot of cells and unless we’ve got a lot of battery cells available, then — and say like accelerating production of the Tesla Semi would then necessarily mean making pure Model 3 or Model Y cars. And so, we’ve got a really — make sure we get a very steep ramp in battery production and continue to improve the cost per kilowatt-hour of the batteries.”
A Tesla Semi was captured on Sunday, making its way down Interstate 5 in Olympia Washington, roughly 60 miles south of Seattle. Credit: Tvlog.
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
