The Tesla Semi was recently spotted near one of the company’s most historic locations — the West Los Angeles Service Center — a site where Elon Musk famously met with early reservation holders of the Tesla Roadster at a time when the company was on the verge of bankruptcy.
According to Mirk_idk, an auto enthusiast on Instagram, he spotted the Tesla Semi just as it was leaving Santa Monica Blvd., the same street as Tesla’s LA Service Center, on May 24 at around 10:30 a.m. local time. The auto enthusiast noted that the Semi appeared to be accompanied by two Model S sedans. There were also two people in the electric long-hauler, one of whom acknowledged him as he snapped a photo of the vehicle.
Just like the Semi’s recent sighting in Sunnyvale, CA, the electric truck was hauling a trailer when it was photographed. Its rear wheels were also equipped with covers that are reminiscent of the Model 3’s Aero Wheels.
https://www.instagram.com/p/BjK5inOFv6S/?taken-by=mirks_idk
The Tesla Semi’s latest appearance is particularly noteworthy, considering that Los Angeles is the location of two important Tesla facilities — the LA Service Center and the Tesla Design Center. The Tesla Design Center, the facility where the Semi and the next-generation Roadster were designed, is just 13 miles away from the site of the recent sighting. The LA Service Center, on the other hand, has a more historical significance to the company.
Back in 2008, Tesla, together with Musk’s private space venture, SpaceX, were feeling the effects of a worsening economy. Both companies were a few steps away from folding, and Elon Musk was exhausting his options. Musk ultimately decided to raise the price of the original Roadster to help the company’s funds. The meeting with some of the Roadster’s reservation holders happened at the LA service center.
Part of the fateful meeting was featured in the documentary Revenge of the Electric Car, which featured Tesla during the development days of the Roadster. Musk later described the meeting as “very tough” and that there was anger from some people in the room.
“I cannot understate the degree of grief that I’ve personally gone through, and that many people in Tesla have gone through to make this work. I wish we didn’t have to waste prices. It sucks. I can’t carry Tesla entirely by myself. I just don’t have the resources do it. We can’t sell cars for less than they cost us to produce,” Musk said during the meeting.
Elon Musk unveils the Tesla Semi on November 2017.
As history would show, of course, Musk would eventually pull off the near-impossible after that meeting, ultimately saving both SpaceX and Tesla from going under. Tesla closed its much-needed financing round on Christmas Eve 2008. According to Musk during a Q&A session at the Paris-Sorbonne University in December 2015, the financing round concluded “on the last hour of the last day when it was possible.”
The Tesla Semi is a Class 8 electric truck that is capable of hauling up to 80,000 pounds of cargo. The vehicle is equipped with four Model 3-derived electric motors and is capable of sprinting from 0-60 mph in 5 seconds without any load. With a full 80,000-pound load, the long-hauler can hit highway speeds in 20 seconds. The Semi is expected to start production in 2019.
As the company prepares to begin the manufacture of the electric trucks, Tesla has started utilizing the vehicles for battery pack deliveries between Gigafactory 1 in Sparks, NV to the Fremont CA facility. Multiple sightings of the trucks in the middle of their transport runs have been reported since then.
The Semi has also been spotted on the site of some of its biggest buyers. Earlier this year, the electric truck was sighted in the Anheuser-Busch Brewery in St. Louis, MO. It also made an appearance in Dallas, TX, where it was demoed for PepsiCo employees. The black matte Tesla Semi was sighted on the back of a truck at a highway near Des Moines, IA as well, close to the headquarters of Ruan Transportation Management Systems.
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
