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Tesla and EVs’ popularity pushes car carrier companies to seek higher weight limits
With the transition to electric vehicles now inevitable, car carrier companies are urging politicians and the Biden administration to raise the truck weight limitations on the United States’ highways. By doing so, car carrier companies could transport more electric vehicles. But inasmuch as the proposal seems sound, the rail sector and safety activists strongly oppose the idea, with critics arguing that heavier trucks mean more dangerous roads.
It should be noted that even before electric vehicles like the Tesla Model 3 and Model Y became mainstream, American vehicles were already getting heavier. According to the Environmental Protection Agency (EPA), the average weight of automobiles and trucks on US highways has grown from 3,200 pounds to 4,200 pounds during the last 40 years. That was far before vehicles like the Tesla Model S surged in popularity.
For now, electric vehicles comprise less than 1% of the cars on US roads, but US President Joe Biden and his administration have pushed for half of vehicle sales by 2030 to be comprised of EVs. This is great for the environment, but pushing more EVs has an aftereffect of sorts. Since electric cars are heavier than their combustion-powered counterparts due to their large batteries, car carrier companies simply cannot transport as many of them as quickly under the current weight limits for car carrier trucks on the road, according to an Autoblog report.
Sarah Amico, executive chairman of Jack Cooper, one of the largest car carrier companies in North America, outlined some risks that come if the US government’s road weight limits maintain the status quo. “The truth is we will not be able move as many electric vehicles under the current weight limit. That could mean more trucks on the road, delays in orders, and increased costs,” Amico said.
Trailers in the United States today are restricted by federal highway safety standards to 80,000 pounds gross vehicle weight. And with the growing prevalence of EVs, the car hauling industry has pushed its lobbying efforts in an attempt to update the restrictions. The effort has some supporters, such as Illinois Republican lawmaker Rodney Davis, who serves on the House Transportation Committee. Davis noted that the auto transporter industry is looking to raise the weight limit on roads by about 5-10%.
“The auto transporter industry needs a modest 5% to 10% weight variance. Otherwise, an already-challenged supply chain will require more tractor-trailer rigs on the nation’s highways to deliver the same number of finished vehicles. That means more miles driven, more wear and tear on our roads, more fuel used, and more emissions,” he said.
While an extra 8,000 pounds may not sound like much, it could be the difference maker that could allow transporters to carry the same number of EVs as their ICE-powered counterparts. The Ford F-150 Lightning is about 1,600 pounds heavier than its gas-powered sibling, for example, and the Volvo XC40 Recharge SUV weighs about 1,000 pounds more than the combustion-powered Volvo XC40.
The efforts of car carrier companies, however, have met strong opposition from critics. Among these critics are the companies’ rivals in the freight rail industry, as well as safety experts who argue that heavier trucks are more difficult to stop, easier to roll, and cause more wear and tear on roads. Cathy Chase, President of Advocates for Highway and Auto Safety, mentioned some of these reservations. “With any incremental change comes incremental danger, and that results in more fatalities,” Chase said.
But while the concerns of skeptics are reasonable, the use of all-electric trucks like the Tesla Semi should address a number of safety concerns about heavier vehicles on the road. Electric trucks, after all, utilize systems such as regenerative braking to help the vehicles stop safely. The rollout of systems like Autopilot and FSD could also be a difference-maker in the safety of trucks, as they could ensure that pedestrians and other commuters are as safe as possible on the road.
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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.”
News
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
