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Tesla Semi cabin’s Model 3-inspired elements showcased in new video
A video featuring a rare look at the Tesla Semi’s cabin was recently uploaded on YouTube. As could be seen in the short clip, the all-electric long-hauler features some compelling design elements, from components inspired by the Model 3 to a mysterious pedal beside the vehicle’s brakes.
The Semi’s recent video was uploaded by Moldova-born YouTuber and truck enthusiast Andrew Black, who was able to get up close and personal with the all-electric long-hauler. The Tesla Semi in the video was hauling a trailer from Xtra Lease Trailers, suggesting that the truck was in a transport run when the footage was taken.
Immediately noticeable from the Tesla Semi’s cabin was how roomy and spacious it was. Even with the jumpseat for the passenger unfolded, the electric truck still has a very roomy feel. Upfront, several design elements pop up, the most notable of which is an air vent inspired by the Model 3. The Tesla Semi also features a clean, minimalistic, end-to-end dashboard that runs from one side of the vehicle to the other.
In a lot of ways, the Tesla Semi actually borrows some components from the Model 3. Apart from its end-to-end HVAC system, the Semi also uses the same electric motor as the compact electric car (it has four Model 3-derived electric motors). The Semi is fitted with what appears to be the door handles of the Model 3, as well as dual touchscreen controls that invoke the compact electric car’s landscape-oriented center touchscreen. The size of the Semi’s two touch panels have not been mentioned by Tesla, but based on Black’s recent video, it seems safe to assume that its dual displays are also 15-inch panels.
One thing that grabs the attention from the video, however, was a rather mysterious pedal that could be seen near the 1-minute mark. As the camera was being panned across the Tesla Semi’s cabin, the all-electric truck’s accelerator and brake pedals could be seen prominently. To the left of the brakes, however, was seemingly another pedal. Unlike the dead pedal found in the Model S, Model X, and Model 3, the third pedal in the Semi was rather small, and it looked functional. Some members of the r/TeslaMotors subreddit have weighed in on the mysterious pedal, with a number suggesting that it could be a mechanical parking brake.
The mysterious pedal observed in the Tesla Semi’s cabin. [Credit: Andrew Black/YouTube]
Just like the Model 3, the Tesla Semi has the potential to be an incredibly disruptive vehicle. The electric truck is a Class 8 truck equipped with four Model 3-derived electric motors, which enable it to accelerate from 0-60 mph in 5 seconds flat without cargo. With a full 80,000-lb load, the Semi is still capable of hitting highway speed in 20 seconds, far quicker than comparable diesel-powered semi-trailers.
The Tesla Semi is currently being tested and driven across the United States. Just recently, the electric long-hauler was spotted driving over the Golden Gate Bridge on its way to Santa Rosa, CA. According to Tesla’s Tesla’s VP of Truck Programs Jerome Guillen in his LinkedIn profile, the Semi was headed to Santa Rosa to visit some local customers.
Tesla CEO Elon Musk and CTO JB Straubel revealed during the Q1 2018 earnings call that the Semi currently has around 2,000 reservations from businesses within and outside the United States. In the United States alone, several high-profile companies have already placed orders for the electric truck, including PepsiCo, FedEx, and Anheuser-Busch. Outside the United States, grocery chain ASKO from Norway has placed reservations for the long-hauler, as well as waste management conglomerate Bee’ah from the Middle East, among others.
Watch Andrew Black’s video of the Tesla Semi’s cabin 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
