Connect with us

News

Tesla’s ‘Cyberpunk’ Pickup Truck pitched for potential military use (Update: Correction)

(Credit: Stephen Mason/YouTube)

Published

on

UPDATE: Tesla CEO Elon Musk has issued a tweet correcting this article. Musk noted that he merely mentioned the Cybertruck at the event, not as a way to pitch the vehicle. “This is based on an incorrect Electrek article. The Air Force asked me to speak at a startup conference called “Pitch Day” & I happened to mention Cybertruck. They don’t buy APCs. It’s the Air Force,” Musk said. 

Original text follows. 

During the recently-held Air Force Space Pitch Day in San Francisco on Tuesday, Tesla CEO Elon Musk lightly mentioned the idea of using Tesla’s upcoming “Cyberpunk” pickup truck as a potential vehicle for the US military. This bodes well for Tesla’s “Cybertruck.” 

Musk described the vehicle once more as a futuristic-looking truck that would not look out of place in a science fiction movie set. Reiterating a previous tweet, Musk mentioned that the truck will look like a futuristic armored personnel carrier, a vehicle that the military is all-too-familiar with. 

Advertisement
-->

“We are going to come out with the Tesla pickup truck, or we call it ‘Cybertruck.’ I mean, it looks like an armored personnel carrier from the future. It doesn’t look like a normal car. You may like it, you may not. I like it. It’s going to look like it came off a movie set. When it goes down the road. Like, ‘Whoa, What’s that thing?’” Musk said. 

Musk mentioned once more that while the design of the Cybertruck will likely polarize people, it is a vehicle that he is particularly fond of. This, according to Musk, is a very important thing for a manufacturer. “All the time people try to make products that they think others would love, but that they don’t love themselves. If you don’t love the product, you shouldn’t expect others to,” he said. 

Considering Musk’s recent pitch, it seems safe to assume that the Tesla Cybertruck will be quite a large vehicle. Even the military’s light vehicles are pretty large, after all, such as the ubiquitous Humvee, which can seat anywhere from four to nine people. Musk’s statements also suggest that the Tesla Cybertruck will not be a city car like the Model S, X, Model 3, and Y. Instead, the pickup truck will likely be built tough, and be capable of traversing rough terrain

In a way, an all-electric pickup truck would actually make sense for the military. The Cybertruck (or at least a military-spec variant of the vehicle) would be a breeze to charge if it’s stationed in a nuclear-powered ship, for example, allowing the US military to transport less extra fuel during its excursions. It will also be able to “refuel” pretty much anywhere provided that remote military bases have solar panels and battery storage devices. These are all just ideas, of course, but they do give a glimpse of some practical advantages of a tough, all-electric vehicle for military use. 

The Tesla Cybertruck will be released this month, as per Elon Musk’s most recent announcements on Twitter. That being said, the electric car maker is yet to provide a final date for the vehicle’s launch. Invitations for the pickup truck unveiling event have also not been distributed as of yet.

Advertisement
-->
https://twitter.com/sofiaan/status/1191806875827888129?s=12

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

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.” 

Published

on

Credit: @BLKMDL3/X

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. 

Advertisement
-->

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.”

Continue Reading

News

Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Published

on

Credit: Tesla China

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

Advertisement
-->

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.

Continue Reading