News
Tesla Semi prototype’s multiple camera setup highlighted in new video
Tesla expects to start production of the electric Semi truck sometime in 2019, but the company is already getting busy doing some real-world tests using a hand-built prototype version of the vehicle. The Tesla Semi prototype has been spotted in multiple states recently, and when it stopped by CO, it was filmed extensively by Tesla enthusiasts.
The Semi was initially sighted as it was charging at the Brush, CO Supercharger. During its stop, Model 3 owner and recording engineer Erik J. Martin was able to ask questions to the team of engineers who were accompanying the truck as it traveled across the United States. Among the most notable aspects of the vehicle that were related to Martin were its 300-mile range, its lack of a sleeper cabin, its carbon fiber body, and its unique 26-camera system.
These cameras were filmed by Tesla owner-enthusiast Sean Mitchell, who was able to take a very close look at the electric long-hauler while it was parked at the company’s facility in Denver, CO. Mitchell’s video revealed the unique placement of some of the vehicle’s cameras, including those that were installed at the truck’s side mirrors, as well as an array of at least six cameras that were mounted at the back of the truck. The vehicle also featured Tesla’s trademark three-camera array at the front, which would likely be utilized for the vehicle’s semi-autonomous functions.
Tesla is sparing no expense with the Semi, and the vehicle is designed to be one of the most technologically advanced trucks on the road. Since it’s planned for a 2019 release, Tesla is likely ensuring that the vehicle is future-proof as well, which could explain why the company opted to install a very generous number of cameras in the prototype. Cameras would play a significant role in Tesla’s vision for the Semi, particularly since the vehicle was unveiled with a side-mirror-less design. “Convoy Mode,” a key feature that allows the trucks to semi-autonomously draft in close proximity with each other, would likely utilize input from multiple cameras as well.
In a follow-up video on his YouTube channel about his encounter with the vehicle, Erik J. Martin noted that he was informed that the Semi’s production version would likely have fewer cameras. This would be a sensible decision on Tesla’s part, especially since some of the cameras currently in the prototype appear to be redundancies for other cameras on the vehicle.
Tesla is now on full throttle in terms of testing the Semi on actual roads, and the prototype, which has been going around the United States for months now, has likely gathered a healthy amount of mileage. This could be seen when the long-hauler was filmed in Denver, CO, as signs of wear from thousands of miles worth of traveling were evident in the vehicle. These battle scars from the road make the Semi even more impressive, as it shows that Tesla is ensuring that the electric truck will be ready for deployment when it reaches the market.
Elon Musk announced last November that the Semi would enter production sometime in 2019. Such a timeline is hyper-aggressive, and is classic Elon Musk. That said, the fact that the Semi shares several components with the Model 3 such as its electric motors, door handles, air vents, and 15″ touchscreens would likely make the vehicle a little less troublesome to produce at scale than the midsize electric sedan. Thus, even if the Semi’s actual production ends up starting in “Elon time,” there is a good chance that the electric truck’s deliveries would not see the delays that plagued the company’s previous vehicles like the Model X and the Model 3.
Watch Sean Mitchell’s extensive look at the Tesla Semi 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.”
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
