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!
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
