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.
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.
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.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
