News
Ford used Alaska’s trickiest terrain to test the F-150 Lightning’s all-season capability
Ford is preparing for the first deliveries of its all-electric pickup the F-150 Lightning this Spring. As Ford moves closer to bringing the electric version of its popular pickup series to market, the company has been assessing the vehicle’s performance in some of the most challenging settings, ensuring customers will enjoy the top-notch capabilities the F-series has offered for decades. The F-150 Lightning spent two weeks with Ford engineers in Alaska, providing the vehicle with some of its toughest and trickiest tests to date.
Ford, which saw an over 55 percent increase in electric vehicle sales in February, took its new all-electric pickup to the coldest portions of the frozen Alaskan tundra, assessing the pickup’s performance on low-traction surfaces like snow and ice. The environment also provided another challenge: extremely cold temperatures, which are not always friendly to electric powertrains.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
“Alaska provides us the extremely cold temperatures, snow and ice-covered surfaces that we need to push the F-150 Lightning in this type of testing, which is really focused on dialing-in how the truck delivers its power to the ground on slippery surfaces,” Cameron Dillon, an F-150 Lightning powertrain engineer, said. “Customers may not regularly see minus 30-degree mornings like we are seeing here, but they will see winter cold, snow, and icy roads, and they should feel confident their F-150 Lightning is ready for all of it.”
“Alaska provides us the extremely cold temperatures, snow and ice-covered surfaces that we need to push the F-150 Lightning in this type of testing, which is really focused on dialing-in how the truck delivers its power to the ground on slippery surfaces,” Cameron Dillon, an F-150 Lightning powertrain engineer, said. “Customers may not regularly see minus 30-degree mornings like we are seeing here, but they will see winter cold, snow, and icy roads, and they should feel confident their F-150 Lightning is ready for all of it.”
Ford says it performed low-mu testing, an evaluation of an all-electric powertrain and how it adjusts power delivery to the wheels on low-traction surfaces. Snow, ice, and cold temperatures all contribute to the removal of traction from normal driving surfaces like concrete and asphalt. Alaska was an ideal choice, especially as it offered extreme scenarios of what the truck will see on a daily basis.
Ford took six pre-production units of the F-150 Lightning to Alaska for the testing, it said. It also tested the pickup’s performance on a variety of winter weather conditions, including loose and packed snow, half ice-half concrete, and complete ice. The F-150 Lightning’s ability to sense wheel slip and adjust power to the wheels within the blink of an eye helps improve handling. The advantages are just another feature of electric powertrains, Nick Harris, another F-150 Lightning powertrain engineer, said.
“F-150 Lightning in the snow is a very different ballgame compared to gas vehicles. The responses are extremely quick and the dual motors make it as if you have two engines pumping out power in one vehicle. A lot of our work is to coordinate the two motors to work together to best deliver torque to the ground, so that customers who drive in the snow and ice ultimately feel very confident.”
“F-150 Lightning in the snow is a very different ballgame compared to gas vehicles. The responses are extremely quick and the dual motors make it as if you have two engines pumping out power in one vehicle. A lot of our work is to coordinate the two motors to work together to best deliver torque to the ground, so that customers who drive in the snow and ice ultimately feel very confident.”
The electric F-150 Lightning has six standard benefits that all can be attributed to the use of an electric powertrain, rather than a gas-powered one:
- Standard dual motors front and rear
- Standard always-on 4×4
- Quick torque delivery
- Standard electronic-locking rear differential
- Selectable drive modes
- Low center of gravity for even more confident handling
Ford also can adjust the calibration to help make quick adjustments to the vehicle, making testing more efficient. While the team spent just two weeks in Alaska’s extreme conditions, Ford says the F-150 Lightning Powertrain team also dedicated numerous testing sessions in Michigan’s Upper Peninsula, Borrego Springs, Johnson Valley, and at Ford’s Michigan Proving Grounds near Romeo.
The F-150 Lightning will begin customer deliveries this Spring. Ford recently split its EV and combustion engine operations into two “divisions.” The electric side is known as Model e, while combustion engine projects will fall under the Ford Blue division.
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
