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Tesla Semi Run On Less results really show serious BAMF performance
The Tesla Semi is proving its worth in the ongoing 2023 Run on Less Electric Depot event. In less than 48 hours, one of the Tesla Semis from PepsiCo covered a distance of 1,600 miles. As per Rocky Mountain Institute’s David Mullaney, it’s the Tesla Semi’s charging performance that is making these impressive feats possible.
When Elon Musk unveiled the Tesla Semi way back in late 2017, he made it a point to highlight that the electric Class 8 truck would be a cut above its peers. One of the slides that were shown during the event caught the eye of social media users as it stated that the Tesla Semi will feature “BAMF performance.”
“BAMF” typically means “bad *ss mother f**ker” on the internet, which is pretty much in line with Tesla’s humor. Based on the performance of the Tesla Semis at the 2023 Run on Less Electric Depot event so far, it would appear that such a description is indeed accurate for the vehicle.
PepsiCo is testing three Tesla Semi units in the 2023 Run on Less Electric Depot event. One of the trucks, Tesla Semi #3, was tracked to have done 794 miles during its second day of tests. The following day, the Class 8 all-electric truck traveled a total of 806 miles. Interestingly enough, Mullaney noted that during the nearly 48-hour period and 1,600-mile journey, Tesla Semi #3 was continuously on the move.
The Tesla Semis are not exactly running the routes with no load either. As per North American Council for Freight Efficiency (NACFE) ‘s Mike Roeth, the Tesla Semi trucks are hauling heavy loads.
“We’re tracking the beverage. It’s impressive, a fairly heavy haul at nearly 80,000 pounds. It goes to one location and drops off soda, but maybe picks up some waters, goes to another location to drop off water but pick up Gatorade. We don’t really know the payload, (but) NACFE has verified that these are fairly fully loaded when they leave and stay fairly loaded. They’re not out there gaming Run on Less,” Roeth said.
Mullaney noted that such performance is only made possible by the Tesla Semi’s battery. While Tesla has not shared the full specs of the vehicle’s battery, it is evident that the Semi can take high power charges for an extended period of time.
“PepsiCo’s Tesla Semi #3 just did 1600 miles in a little less than 48 hours, with the truck pretty much continually moving outside three brief but fruitful charges (along with two range extending mini charges). It’s really that charging that unlocks this. The early morning charge on Day 3 gets 75% SOC in about an hour (from 5% to 80%).
“That is remarkable. This isn’t just enabled by the 750 kW charger, but also the ability of the battery to take a high power charge for a long period of time. That ‘charge curve’ remaining very steep up to and beyond 80% SOC is what really unlocks the mileage we are seeing from this truck. In the old days, charging a battery like that would fry it in pretty short order,” Mullaney said.
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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
