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Tesla Cybertruck is beating a titanic rival to market, and it’s getting even better
The Tesla Cybertruck is one of several electric pickups that is expected to start production and deliveries by the end of 2021. But inasmuch as the vehicle is revolutionary thanks to its design, features, and price, it is also meeting a lot of rivals, such as the GMC Hummer EV. But among its competitors, there is arguably no bigger rival to the Cybertruck than the Ford F-150 Electric, the EV version of America’s best-selling automobile.
The Ford F-150 series is iconic. It has been the United States’ best selling vehicle for years, and for good reason. Its combination of practicality, reliability, and reasonable price makes it ideal for as both a family and utility vehicle. And as challengers such as Tesla and Rivian prepare to enter the pickup market, Ford has hinted at its plans to ensure that its place in the truck market is secure: the F-150 Electric.
Ford has been pretty vague about its release date for the F-150 Electric, though the head of Ford’s Team Edison, Darren Palmer, previously stated that the automaker is looking to release the vehicle “before 2022.” Such a statement suggests that the F-150 Electric was scheduled for a late 2021 release, placing it in direct competition with the Cybertruck, whose Tri-Motor AWD and Dual Motor AWD version are set for release late next year.
That is, however, until now. In a recent statement, Ford CEO Jim Farley stated in a segment on CNBC that the Ford F-150 Electric will be launched around “mid-2022,” alongside a Ford Transit Electric van. While subtle, this update suggests that Ford’s plans for the F-150 Electric have seen some delays.
This bodes well for the Tesla Cybertruck, considering that the electric pickup market is the next big frontier for EVs. Provided that Tesla does not encounter delays with the Cybertruck, there is now a good chance for the electric car maker to beat a seasoned veteran to the pickup truck market. The pickup market is quite lucrative, after all, considering that the segment is arguably the biggest in the United States.
But it gets even better. Tesla is quite unique in the way that the company is determined to push a production version of its vehicles that is significantly better than its prototypes. This means that the Cybertruck, whose prototype already took the automotive world by storm, will be even better when it reaches production. Elon Musk has been quite open to some of these improvements on Twitter, as evidenced by his updates on the vehicle. Just recently, for example, Musk responded positively to a suggestion that could give the Cybertruck even more storage space.
It pays to be one of the first to break into a new automotive segment. This is one of the reasons why the Model S became such a trailblazer when it started rolling out in 2012. During that time, there was simply no cars like it in the full-sized sedan class with the same size, performance, and tech. With the pickup truck market, this is even more pertinent, considering that the segment is populated by the country’s most successful vehicles. Fortunately for the Cybertruck, it appears that legacy automakers, just like with the Model S, are leaving the door open for some electric powered disruption.
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
