RAM has promised big things for its upcoming electric pickup truck, the RAM 1500 REV, though specifications have yet to be released.
Superior range, payload, towing, and charge time; that was the message from RAM when it revealed the name of its first production electric truck, the RAM 1500 REV. This message was echoed in RAM’s Super Bowl commercial that poked fun at “Premature Electrification” (PE) concerns. But without releasing the specifications of its upcoming truck, it remains unclear if the historic American truck can achieve its new herculean task.
RAM has yet to release any information about the RAM 1500 REV, other than its design and release date of “late 2024,” shown in its first-ever Super Bowl commercial. However, looking at the current competition, you can get a good idea of what specs RAM is aiming for.
One of the most critical factors a consumer will look at when buying an EV is the vehicle’s range, so it is no wonder RAM is promising to lead in the category. To achieve this and upset the current range leader in electric pickups, the Rivian R1T, the RAM 1500 REV would need to be able to go more than 328 miles on a single charge; no small task for Stellantis’ first EV in the United States.
Second, if the REV is going to have a superior payload, it will need to put up numbers almost equal to the current gas variant RAM. The Ford F150 Lightning leads electric trucks, having a payload of 2,235 pounds, while the gas-powered RAM 1500 has capacity for only 100 pounds more.
Towing, a massive challenge for any electric truck, could be a particularly difficult challenge for Stellantis engineers if their truck is to be a leader in the segment. While the Ford and Rivian trucks have towing capacities of 10,000 and 11,000 pounds, neither has been able to do so while towing for any considerable distance, a concern that is even addressed in RAM’s own Super Bowl ad. From the testing done by various sources on both the Lightning and the R1T, anything more than 100-120 miles of range while towing could make the 1500 REV a leader in its class.
As if these three tasks weren’t enough, RAM is promising to be a new leader in charge time, a crown that will certainly need to be battled for thanks to Ford’s impressive 30-40 minute 10-80% charge time.
This leads us to the question; are these achievements remotely possible? There are a couple of reasons to believe they are.
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- Credit: RAM Trucks
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- Credit: RAM Trucks
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- Credit: RAM Trucks
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- Credit: RAM Trucks
First, suppose RAM can build its first EV on an 800/900-volt architecture. In that case, the drivetrain’s efficiency and charging time could improve dramatically, allowing the 1500 REV to hit many of the targets listed above. This is especially the case compared to the 400-volt architecture used within the current electric trucks on the market.
Second, if RAM can source higher efficiency motors, it may be able to circumvent issues of range, though it may face problems regarding power to move over 11,000 pounds when towing.
Third and potentially the most likely, RAM could opt to fit a gargantuan battery into its first electric truck. With a massive battery pack of over 150 kWh, the 1500 REV would benefit from increased range and increased power thanks to the battery’s ability to meet higher power needs. Though, with such a massive pack, the RAM 1500 REV would suffer in the weight department, potentially decreasing its payload and towing capabilities.
Whether RAM achieves its design goals or not, the added competition in the electric vehicle market is always welcome. Though RAM isn’t introducing its first EV as quickly as many would have hoped, with such high goals, it may be worth waiting for. Though with competition on the horizon, Stellantis will need to work quickly if it hopes not to be left behind.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
