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Tesla pickup truck could be ready for a summer unveiling, says Elon Musk
During the company’s Q4 2018 earnings call, Elon Musk provided an update on the Tesla pickup truck’s reveal date. While addressing some of the questions submitted by retail investors, Musk noted that the Tesla Truck might be ready to be unveiled this coming summer. Echoing his previous statements about the vehicle, the CEO once more highlighted that the truck would be quite different from those in the market today.
“(As for the) Tesla pickup truck, we might be ready to unveil that this summer. It will be quite unique — unlike anything in the market,” Musk said.
The pickup truck industry is a large, potentially lucrative market for Tesla, especially considering that the segment is home to the United States’ best-selling vehicle — the Ford F-150. With this in mind, the pickup truck segment is ripe for electric disruption, and it is a market that electric car makers and even legacy automakers are looking to tap into. Electric car startup Rivian, for one, has taken the wraps off the R1T luxury pickup truck. Veteran carmaker Ford, on the other hand, has announced that the beloved F-150 would have an all-electric option in the near future as well.
In a way, the pickup truck market fits perfectly with the characteristics of electric vehicles. EVs, for one, have immense torque, which would be useful for hauling cargo — a task usually undertaken by pickup trucks. This is something that Rivian has focused on with its R1T pickup, with CEO RJ Scaringe stating in a recent interview that the luxury truck could actually tow far beyond its listed capacity of 11,00 pounds. Elon Musk, for his part, lightly noted on Twitter that the Tesla pickup truck would have a towing capacity of 300,000 pounds.
While very little is actually known about the Tesla pickup truck, Elon Musk has gone on Twitter last year to brainstorm some of the vehicle’s possible features. Musk responded positively to several suggestions from his followers, though he did note that the truck would have four-wheel steering, the capability to park itself, seating for six people, and a 240-volt connection for power tools.
Musk has been pretty transparent about his excitement for the vehicle. During his guest appearance at the Recode Decode podcast, Musk noted that among Tesla’s future projects, he is most excited for the pickup truck, which he describes as a “super futuristic” vehicle that would not look out of place in the Blade Runner franchise. Musk even noted that he is really unsure if the vehicle will be successful, but if it does not get well-received by the market, Tesla would be releasing a more conventional pickup truck.
“I can’t talk about the details, but it’s gonna be like a really futuristic like cyberpunk, Blade Runner pickup truck. You know, I actually don’t know if a lot of people will buy this pickup truck or not, but I don’t care. I mean I do care, eventually, you know. Like sure, I care. We wanna get gasoline, diesel pickup trucks off the road. So, anyway, that’s personally I’m most excited about. But like I said, it could be just like, okay, I weirdly like it and other people don’t. That’s possible. But we’re gonna make it anyway, and then we will just have a niche audience, I don’t know. But if it does, then we’ll make a more conventional pickup truck,” Musk said.
Musk later noted in the podcast that he is already iterating designs for the Tesla Truck with Chief Designer Franz von Holzhausen. Ultimately, Musk hopes that the vehicle would be something that people would want to buy, even if they are not into pickup trucks. If Elon Musk’s estimates in the recently held earnings call are any indication, it might not take too long before the company to take the wraps off its latest and possibly most ambitious vehicle yet.
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
