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FedEx places order for 20 Tesla Semi electric trucks
FedEx Corp. has joined the likes of UPS, PepsiCo, and Anheuser-Busch as the Tesla Semi’s latest customer. In a press release, the American multinational courier delivery services company announced that it had placed a reservation for 20 electric trucks from Tesla, as part of its initiative to push green technologies into its operations.
The press release, which was released Monday morning, noted that the 20 Tesla Semis would be deployed and operated by FedEx Freight, the company’s less-than-truckload (LTL) service, which covers the transportation of relatively small cargo. According to FedEx Freight president and CEO Mike Ducker, the company’s investment and commitment to the Tesla Semi stands as its latest statement on its continuing efforts to incorporate sustainability into its day-to-day systems.
“FedEx has a long history of innovation and incorporating sustainability efforts throughout its global network. Our investment in these trucks is part of our commitment to improving road safety while also reducing our environmental impact,” the FedEx Freight CEO said.
In the company’s press release about the purchase of the Class 8 electric trucks, FedEx asserted that it had been actively engaged in green initiatives for the past decade. According to FedEx, the company has saved approximately 158 million gallons of fuel since 2008, thanks to its adoption of vehicles that employ fuel cells, natural gas, hybrid engines, and electric drivetrains. The company also noted that it is in a continuous process to replace its legacy fleet with more efficient and environmentally friendly vehicles, such as the Tesla Semi.
The Tesla Semi features four Model 3-derived electric motors, making it completely emissions-free. The instant torque provided by its electric motors also enables the long-hauler to pull its load with speeds that are far beyond the industry standard. During its unveiling, Tesla CEO Elon Musk announced that the Semi is capable of going from 0-60 mph while pulling a full 80,000 load in as little as 20 seconds. Without cargo, the electric truck is even faster, showing tire-shredding acceleration, as could be seen in a previous sighting of the vehicle.
Over the past couple of weeks, Tesla appears to be deploying its long-range silver Semi prototype to some of its biggest reservation holders. Two weeks ago, the electric truck was spotted in Anheuser-Busch’s brewery in St. Louis, MO. The truck was parked in the brewery for a few hours, and was later seen parked at a Supercharger in St. Charles, roughly 24 miles away from the Anheuser-Busch facility.
Last week, the Tesla Semi was spotted in a Dallas, TX Service Center, before being sighted at the Reunion Tower the following day, where Tesla and PepsiCo reportedly held a demo for the electric truck. Ryan O’Donnell, a member of the Tesla community who lives in the area, was able to enter the demo event, snapping some close-up pictures of the electric truck. O’Donnell also noted that a PepsiCo employee stated that the company’s 100 orders for the Tesla Semi were just a “drop in the bucket” for how many units the beverage and snack company is planning to order in the future.
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.