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The Tesla Semi’s economical advantage is frighteningly underestimated
The Tesla Semi has its own fair share of critics, and even today, some notable voices such as Microsoft co-founder Bill Gates believe that the Class 8 all-electric truck is not feasible. When one looks at the currently available information about the upcoming vehicle, however, one would see that the Tesla Semi is vastly underestimated.
One of the key criticisms surrounding the Tesla Semi is its weight, which skeptics would claim is far too much to be economically viable. Tesla has not shared any specifics surrounding the Semi’s weight, though the company did note that the vehicle consumes less than 2 kWh per mile. As noted by the OBF in a YouTube video, this would translate to the Semi likely having a battery that’s roughly around 600 kWh to 1,000 kWh, depending on whether the vehicle features a 300 or 500-mile range.
Considering that Tesla’s 100 kWh batteries typically weigh around 1,300 lbs, it could then be inferred that the Semi’s battery pack would weigh around 7,800 to 13,000 lbs. This is assuming that the Semi is equipped with the same batteries that Tesla had when the Class 8 truck was unveiled. If Tesla’s 4680 cells are involved, this weight could be optimized further, considering that the company’s custom batteries are lighter and more powerful.
Traditional diesel semitrailers typically weigh around 15,000 to 25,000 lbs, which means that the Semi would likely be at a disadvantage weight-wise. To address this disadvantage, Tesla would have to ensure that the rest of the Semi is made with light and durable materials. Tesla’s extensive experience as an EV maker plays a huge part in this, as the company could use all that it has learned during the design and rollout of the Model S,3,X,Y lineup to optimize the Semi’s weight.
If Tesla’s estimates are correct and its new 4680 batteries are lighter, and if the electric car maker uses innovations such as a structural battery pack on the Semi, the weight disadvantage of the Class 8 truck against diesel rivals becomes much smaller. Couple this with the fact that the Semi’s electric motors weigh far less than a large diesel engine and the all-electric Class 8 long hauler becomes a very compelling alternative to traditional semitrailers. Even the Semi’s higher price, which is expected to start at $180,000, becomes a moot point considering that electric vehicles need far less maintenance over their lifetime.
But this is not all. The Semi also stands to benefit from Tesla’s work with its Full Self-Driving suite, whose inner-city driving features are currently being rolled out to its initial batch of testers. Features such as Navigate on Autopilot, which would be incredibly useful for operators of the Tesla Semi, have already become refined over the years, and it would likely only take a matter of time before inner-city driving reaches the same state. When it does, capabilities that are unique to the Semi, such as its Convoy Mode, would likely become a “killer feature” that would make the vehicle a no-brainer against the competition.
Watch the OBF’s take on the economics of the Tesla Semi in the video below.
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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
