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Tesla Semi battery weight criticisms are rooted in outdated ideas: EV expert
A good number of skeptics critical of battery-electric long-haulers like the Tesla Semi typically argue that the weight of the vehicles’ batteries makes them ineffective against competitors that are powered by diesel or hydrogen. As noted by an electric vehicle veteran and expert recently, however, these ideas are rooted in outdated ideas about battery weight. And if one considers more recent battery tech, electric Class 8 trucks may not only be feasible; they may actually be closer than expected.
In a recent piece on Bulk Distributor Magazine’s November/December 2020 issue, Auke Hoekstra, Senior Advisor for Electric Mobility at the Eindhoven University of Technology, noted that contrary to popular belief, long-haul trucks would not be the last vehicles to become battery-powered. This is in no small part due to the advancement of battery technology. Hoekstra noted that within five years, he believes that “electric trucks will become the logical choice for many bulk transporters” And within 10 years, vehicles like the Tesla Sei will likely dominate new sales.
The stunning progression of battery technology could be seen in just how much batteries have gotten better and cheaper over the years. Hoekstra noted that myths about electric trucks being too heavy were true 20 years ago, but not today. If electric long-haulers existed 20 years ago, they would likely be powered by lead-acid batteries, and assuming a battery size of 1 MWh, such a vehicle will require a pack that will likely weigh about 25 tons. That’s more than the entire payload of the truck. This is, of course, not the case today.
Hoekstra noted that when he wrote his first book about electric vehicles for the Dutch Ministry of Road Transport 13 years ago, lithium-ion batteries had started to emerge. Lithium-ion batteries offered reductions in weight, resulting in a 1 MWh pack weighing only about 10 tons. Today, this is even better, with modern electric cars having batteries that weigh about 5 kg per kWh or 5 tons per MWh. “I expect that with five years, that weight will be down to 3.5 tons. And it doesn’t stop there,” the EV veteran wrote.
Class 8 trucks like the Tesla Semi, which are designed from the ground up to be electric, will likely offer even better weight advantages. Hoekstra estimated that Tesla would see further weight reductions of about 2.5 to 3 tons due to the vehicle’s all-electric platform. “The electric motor is lighter, and you can get rid of the diesel tank and exhaust treatment. Then you place the electric motors between the wheels and lose the differential, driveshaft, and a host of other components,” he wrote.
What’s particularly interesting is that these estimates don’t even take into account the innovations that Tesla unveiled in its Battery Day event. Once Tesla’s 4680 tabless cells and structural battery packs enter the equation, the Semi becomes an even more compelling alternative to diesel-powered trucks. Hoekstra estimated that Tesla’s structural battery packs could save another ton to the Semi’s overall weight, seeing as the battery would practically displace the steel beams that give traditional Class 8 long-haulers their rigidity. With this in mind, the EV veteran noted that “battery weight will soon be a problem of the past.”
There are other advantages to electric trucks that were highlighted by Hoekstra in his piece, such as the cost savings that will result from the use of a fleet of electric trucks. This is something that Tesla has highlighted in the past, with CEO Elon Musk stating during the vehicle’s unveiling that the Semi will vastly undercut diesel-powered rivals when it comes to operating costs. Couple this with the low maintenance requirements of EVs, as well as the fact that batteries now last much longer, and trucks like the Tesla Semi will likely become very attractive options for operators in the very near 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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
