A new all-electric cyberpunk truck may be hitting the streets in the somewhat near future, and it’s being designed and built by Tesla, the company most responsible for the current electric vehicle revolution.
CEO Elon Musk tweeted a teaser image of a part of the Tesla Truck following last week’s Model Y unveiling (after no one noticed during the unveiling), but there wasn’t much to be said about what was actually being portrayed. Musk didn’t provide additional details, and the image itself wasn’t any obvious part of a vehicle, but that hasn’t stopped the Tesla community from tapping into its collective imagination. Several renderings of the upcoming electric truck have been created, and here we’ve compiled a few of our faves.
In a somewhat conventional version that incorporates Tesla’s Aero Wheels, this photo imagines the teaser pic as a bed cover. The glowing trim seems to simply have an aesthetic purpose.
Going for a more robotic vision of the future truck, a render posted by an account naming itself representative of the “Tesla Truck Club” community displayed the teaser pic as the front of the vehicle. The glow lines appear to take the place of traditional headlights, and the truck cab completely boxes in the hood/frunk portions.
Finally, the same Twitter account also posited that the teaser pic was just a more detailed version of a truck render already released by Tesla during the Tesla Semi unveiling. The overall suggestion is that the truck will just be a variation of the Tesla Semi itself, using the Semi’s architecture.
Gathering a few clues about the final Tesla truck look obviously came to order prior to the rendering designs. Perhaps the most well-known description given of the truck is a tie-in to Blade Runner. Musk has famously described it as a vehicle that would not be “out of place” in the film. If you haven’t seen it, “futuristic”, “cyberpunk”, “dystopia”, and “80s” are all the adjectives you need.
The tech-inspired CEO took to Twitter last year to ask the community what it would like to see in a Tesla Truck. Plenty of suggestions followed from the online crowd, but even more importantly were the further truck details provided by Musk:
- Dual motor all-wheel drive
- Crazy torque
- Suspension that dynamically adjusts for load
- Power outlets allowing use of heavy duty, 240V, high power tools in field (no generator needed)
- Cameras
- Onboard neural net
- Ultrasonics
Other details that were revealed over the last year include six seats, 400-500 miles of range per charge, and 300,000 lbs of towing capacity (yes, that’s 300 thousand pounds of torque). Regardless of what the Tesla Truck will look like, its features are certainly impressive, and members of the traditional truck crowd will likely take its credentials seriously once they see what it can do for themselves.
In an appearance on Recode’s Decode Podcast, Musk touted that Tesla’s cyberpunk truck was awesome, amazing, and heart-stopping; however, he also acknowledged that some reconfiguration might be in order if the design isn’t appealing to a wide enough audience. “If there’s only a small number of people that like that truck, I guess we’ll make a more conventional truck in the future,” he said. Musk has also commented about the “look” of Tesla’s truck, warning that it might be “too futuristic for most people, but [he] love[s] it”.
If the Tesla Truck is designed to be compelling enough to do well in the market, the company will have its latest industry disruption at hand. The truck market is currently dominated by vehicles like the Ford’s F-Series which it sold nearly 1 million of in 2018, Chevy’s Silverado, and Dodge’s Ram, each of which sold over half a million vehicles in 2018. All-electric startup Rivian has also noticed the possible potential in the truck market, and has its own R1T truck scheduled for deliveries in 2020. It should also be noted that Ford itself is looking to produce an all-electric version of its popular F-Series as well.
So, when will everyone get to see the actual Tesla Truck? According to Musk, later this year.
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.
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
