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Ford study shows pickup truck electrification has substantial greenhouse gas reduction rate
Ford and University of Michigan researchers conducted a new study that evaluated the savings in greenhouse gas emissions in battery-electric pickup trucks relative to gas-powered pickups. It also assessed the reductions in other light-duty vehicles when compared to their gas-powered counterparts.
According to the study, sedan, SUV, and pickup truck battery-electric vehicles have approximately 64 percent lower cradle-to-grave life cycle greenhouse gas emissions than the same vehicles with combustion engine powertrains. On average, replacing a traditional gas engine with an electric powertrain can save up to 74 metric tons of carbon dioxide over the lifetime of a vehicle, the study says.
Automakers are utilizing the transition to electrification as a main strategy to combat rising greenhouse gas emission rates. Ford says light-duty vehicles, including sedans, SUVs, and pickup trucks, are currently responsible for 58 percent of the United States transportation sector’s emissions. Pickups made up 14 percent of light-duty vehicle sales in the U.S. in 2020, with increases in the sales of SUVs and pickups since that data was released, meaning more emissions are released every year.
Ford is one of the most committed automotive companies in terms of transitioning to electrification. The Mustang Mach-E, which hit the market first for Ford, has quickly become one of the best-selling EVs in the United States. Last year, it trailed only the Tesla Model Y in the all-electric crossover sector. The F-150 Lightning, Ford’s electrified take on its popular pickup truck series, is set to begin deliveries this Spring. Additionally, Ford has started shipping the E-Transit to fulfill commercial demands, including one 1,110-unit order for Wal-Mart.
Ford’s Farley commits to 600k units in 22 months: ‘I think we’re one of the first to scale’
The study gave more evidence that transitioning to electric powertrains is more sustainable than gas-p0wered options, especially from the vehicle’s first mile to its last.
“This is an important study to inform and encourage climate action. Our research clearly shows substantial greenhouse gas emission reductions that can be achieved from transitioning to electrified powertrains across all vehicle classes,” Greg Keoleian, a professor at the University of Michigan School for Environment and Sustainability, said. Keoleian was the study’s senior author.
The Study
Researchers conducted a cradle-to-grave life cycle assessment of pickup tucks and compared it to an assessment of electrified versions of pickups, sedans, and SUVs. The study used three different model year 2020 powertrain options, including ICE engine vehicles, hybrid-electric vehicles, and battery-electric vehicles. The study looked at midsize sedans, midsize SUVs, and full-size pickups, accounting for differences in fuel economy, annual mileage, vehicle production, and vehicle lifetime across vehicle classes.
“This study expands upon previous studies that have focused on comparing battery-electric vehicle sedans to their internal-combustion-engine or hybrid counterparts,” Keoleian added. “We report emissions for vehicle production, use, and end-of-life stages on a per-mile basis and over the total vehicle lifetime. In addition, we analyzed the regional variation in emissions considering differences in electricity grid mixes and ambient temperatures, and we also explored the effects of the rate of grid decarbonization on emission reduction.”
Researchers found that switching to an electric vehicle results in great total tonnage of emissions reductions as the vehicle size increases. This is due to greater fuel consumption from larger-classed vehicles.
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Ford doubles its F-150 Lightning production target again to 150k units per year
“Though the percentage savings is approximately the same across vehicle classes, on average replacing an internal-combustion-engine sedan with a battery-electric sedan saves 45 metric tons of carbon dioxide equivalent, replacing an internal-combustion-engine SUV with a battery-electric SUV saves 56 metric tons of carbon dioxide equivalent, and replacing an internal-combustion-engine pickup with a battery-electric pickup saves 74 metric tons carbon dioxide equivalent over the lifetime of the vehicles,” Max Woody, Center for Sustainable Systems Research Specialist, said. Woody is listed as the study’s first author.
Researchers also concluded that BEV manufacturing has larger emissions rates than ICE vehicle manufacturing. Battery-electric sedans had a breakeven time of 1.2 to 1.3 years, while SUVs sat at 1.4 to 1.6 years, and pickups sat at 1.3 years, based on the average U.S. grid and vehicle miles traveled, the study said.
Officially published on March 1 in the journal Environmental Research Letters, the full study is available here.
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News
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.
News
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.
News
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
