You’ll never know how far the Tesla Semi, the Volvo VNR, or other electric semi-trucks will go according to EPA testing standards. The answer is incredibly complex, but simply put, the EPA does not test or evaluate heavy-duty trucks for range ratings. Don’t expect the agency to tell you how far the Tesla Semi or other EV trucks will go because testing simply does not happen.
This allows manufacturers of heavy-duty electric vehicles and semi-trucks to have a profoundly unique ability to control the narrative that surrounds how far their product can go on a full charge. As crazy as it sounds, customers leaping into the all-electric Class 8 sector are putting trust in the companies they buy from when weighing what is arguably the most important metric of the EV ownership experience: range.
Following the certification of the Tesla Semi by the EPA in late October, which Teslarati exclusively reported on, we were bombarded with questions surrounding the vehicle’s EPA-rated range. Light-duty passenger electric vehicles and their success can almost always be gauged by how customers react to range ratings during unveiling events. When Lucid announced it had successfully reached an EPA-rated 520 miles of range on a single charge in the Air Dream Edition, the EV world was astounded. While the vehicle has felt heavy demand on order logs, Lucid still fulfills them to this day.
Meanwhile, other manufacturers bring vehicles to the market with relatively “light” range projections or ratings. It is always disappointing to see a vehicle with so much potential offer so little of what EV owners want: driving range. People do not want to stop at EV chargers. They want to continue their journey on the roads.
Polestar’s recently-unveiled Polestar 3 comes to mind when I (and some others) think of an astounding vehicle with not-so-astounding range and efficiency. Despite its 111 kWh battery pack, the Polestar 3 only offers 379 miles of WLTP-rated range. WLTP ratings are usually much more generous than EPA ratings, so I am anticipating the vehicle to reach around 300 miles of range when the U.S. agency gets its hands on it.
When light-duty vehicles are assessed, approved, and granted Certificates of Conformity from the EPA, they are available for the public to read and include results on efficiency and range testing. This is where heavy-duty vehicles and the testing process differ vastly from light-duty ones.
While these are both vehicle classes that are purchased and used by consumers on public roads, only light-duty vehicles are assessed for range ratings, while heavy-duty vehicle manufacturers do not have their products’ range “evaluated, reported, or included” in an application for certification, the EPA said in an emailed statement.
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The EPA has numerous documents relating to this idea, as well as the Society of Automotive Engineers (SAE). However, the documents never directly specified why heavy-duty vehicles are not required to be tested by federal agencies. That does not mean that reasoning is not available.
The fact of the matter is the agency may not have been prepared to test heavy-duty electric vehicles for range ratings, especially this soon. A document found in the Federal Register that was submitted by the EPA and Department of Transportation (USDOT) in 2016 titled, “Greenhouse Gas Emissions and Fuel Efficiency Standards for Medium- and Heavy-Duty Engines and Vehicles— Phase 2,” which established rules to reduce greenhouse gases, includes an interesting tidbit regarding electric vehicles:
“Given the high up-front costs and the developing nature of this technology, the agencies do not project fully electric vocational vehicles to be widely commercially available in the time frame of the final rules. For this reason, the agencies have not based the Phase 2 standards on adoption of full-electric vocational vehicles. We received many comments on electric trucks and buses. Specifically, EEI provided information on the total cost of ownership for electric trucks, and some applications may see attractive long-term cost.”
The time frame of the final rules is set to end in 2027 and apply to model year 2027 vehicles, according to the document.
The agency recognized in 2016 that these technologies may be in development, and we all know they are. As the EPA and NHTSA may not have been able to predict how quickly all-electric heavy-duty trucks would become a prevalent piece of American logistics, the agencies were aware that this technology was coming in the future:
“Phase 2 will include technology advancing standards that will phase in over the long-term (through model year 2027) to result in an ambitious, yet achievable program that will allow manufacturers to meet standards through a mix of different technologies at reasonable cost. The terminal requirements go into effect in 2027, and would apply to MY 2027 and subsequent model year vehicles, unless modified by future rulemaking. The Phase 2 standards will maintain the underlying regulatory structure developed in the Phase 1 program, such as the general categorization of MDVs and HDVs and the separate standards for vehicles and engines. However, the Phase 2 program will build on and advance Phase 1 in a number of important ways including the following: basing standards not only on currently available technologies but also on utilization of technologies now under development or not yet widely deployed while providing significant lead time to assure adequate time to develop, test, and phase in these controls.”
So, how do manufacturers determine range?
This is where things get very tricky because if the EPA is not testing the range itself as an unbiased government organization, it means manufacturers are required to test the vehicles themselves, leaving consumers to trust the companies that they are buying from.
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Technically, manufacturers could say whatever they want regarding their electric trucks. Tesla has maintained significant range ratings for the Semi throughout its development, with Elon Musk recently stating the vehicle will have 500 miles of range per charge, with a sizeable payload. Of course, Tesla has been testing its vehicle internally and with the help of verified customers, like Frito Lay, who will take delivery of the first Semi on December 1.
It really comes down to independent testing. Volvo, for example, tested the range of its all-electric VNR Class 8 heavy-duty truck through a pilot program with third-party companies. Through its LIGHTS (Low Impact Green Heavy Transport Solutions) project, Volvo had companies like NFI Industries test the VNR through its commercial operations to prove and demonstrate the truck’s ability.
“By participating in the Volvo LIGHTS project, NFI is helping to prove that Volvo’s VNR Electric trucks can handle the daily rigors of freight movement. NFI continues to be a leader in sustainability, and it comes across in everything they do,” Peter Voorhoeve, president of Volvo Trucks North America, said. “NFI is realizing the immediate value the electric VNR provides—not just by eliminating emissions but creating an enthusiastic workforce complimenting the experience of driving these electric truck models.”
The LIGHTS project ran through 2021 and provided Volvo with “real-world operational data critical to the successful commercial scaling of these vehicles.”
So how do you know how far an all-electric Class 8 heavy-duty vehicle goes? You might literally have to find out for yourself, or you can trust the manufacturer’s word for it.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
