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Ford F-150 Electric’s edge against rivals like the Tesla Cybertruck may be a gas generator
The pickup truck segment is about to be disrupted by all-electric vehicles, with veterans like Ford and General Motors and younger companies like Tesla and Rivian preparing their respective entries into what could very well be a lucrative market. Amidst this budding competition, each company seems to be making the necessary preparations to ensure that their vehicle has key advantages over the competition.
Tesla seems to be relying on its pedigree as an experienced electric vehicle manufacturer, with the Cybertruck boasting specs that are nothing short of insane at its price point. This is on top of an ever-growing Supercharger Network that’s capable of charging the steel beast at rapid speeds. Rivian, on the other hand, seems to be leaning heavily on the luxury adventure market, with its vehicles boasting clever features that are designed to delight those who love the outdoors. Ford, for its part, appears to be going on a rather interesting route.
A recent patent from the veteran hints at what could very well be Ford’s strategy to ensure that customers of its all-electric truck would not experience concerns about the vehicle’s range. While Rivian’s patents tease an auxiliary battery that could extend range, and while Tesla will no doubt push the Cybertruck’s range as far as it could go through its battery innovations, Ford appears to have opted for something much simpler: a gas generator.
Ford’s patent shows a concept for a portable generator that could be fitted into an all-electric pickup truck. The generator is actually pretty sleek, with the unit being designed to look like a toolbox. As noted by the veteran carmaker, high-voltage battery packs typically provide only a limited amount of electric-only driving range. Thus, it is pertinent to provide a way for customers to add electric-only driving range to their vehicles. A generator addresses this need.
Ford’s generator will not be just an off-the-shelf unit, either. The patent states that all of the generator-related components, from the engine to the fuel to the hookup to the vehicle’s power system, would be contained in a unit that could be fitted and removed from the truck as necessary. This generator could then be utilized to charge the vehicle’s battery pack, among other uses. Ford outlines its idea in the section below.
“The electrified vehicle may be operable to travel over a specific distance prior to energy depletion of the battery pack, which may lead to operator range anxiety. Accordingly, the electrified vehicle may additionally be equipped with a generator for increasing the travel range of the electrified vehicle. Like the battery pack, the generator may be operably connected to the electric machine through the inverter over the voltage bus. The generator may also be connected in either parallel or series relative to the battery pack,” Ford’s patent noted.
Of course, using a gas-powered generator in an all-electric truck kind of defeats the purpose of a zero-emissions vehicle, but there is no denying that longtime Ford owners will likely be more open to the F-150 Electric if such a feature is available. Ultimately, after all, every Ford F-150 Electric that is sold is one less traditional, gas-guzzling F-150 on the streets. And that, in the grand scheme of things, matters a lot, at least to a certain degree.
Read Ford’s gas generator patent for its electric pickup below.
Ford F150 EV Range Extender Patent by Simon Alvarez on Scribd
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.”
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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
