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Tesla Cybertruck’s ‘V4′ charging hints at Plaid Model S’ monster peak charge rate
During the Tesla Cybertruck’s unveiling last November, CEO Elon Musk subtly commented that the all-electric pickup would be capable of charging at more than 250 kW. Musk did not disclose any other details about the Cybertruck’s possible “V4” Supercharging support, though the innovations that make it possible may very well be tailor-fit for the company’s next-generation of vehicles like the Plaid Model S and Plaid Model X.
The mention of the Cybertruck’s peak charge rate came at the latter part of the vehicle’s unveiling. Unfortunately, Elon Musk was already a bit shaken then due to the vehicle’s failed Armor Glass demonstration. Thus, the CEO’s mention of the key feature almost sounded like an afterthought, with Musk simply stating that the Cybertruck will “be capable of more than 250 kW.” He also mentioned that Tesla will “reveal the actual number later.”
In a way, an improved peak charge rate for the Cybertruck that goes beyond 250 kW is very well within character for the electric car maker. Tesla, after all, appears to be in the habit of introducing upgraded charging systems with every generation of its vehicles. The company’s first and second-generation 120 kW Superchargers were rolled out alongside the ramp of the Model S and Model X, and the 250 kW Supercharger V3 was introduced to support the ramp of the higher volume Model 3 and the Model Y.
With this in mind, there seems to be a pretty good chance that Tesla is preparing “V4” Superchargers for its next generation of vehicles. Tesla’s coming electric cars are expected to have the company’s best and possibly largest battery packs to date, after all, as represented by the Plaid Model S, Plaid Model X, Cybertruck, and perhaps even the Semi. Considering Tesla’s pace of innovation, it may not be surprising if the company’s peak charge rate for the Cybertruck, Plaid Model S, and Plaid Model X ends up being on par or higher than 350 kW.
This who have followed Elon Musk’s tweets over the past years would remember a post back in December 2016 when the CEO mentioned that a peak charge rate of 350 kW was more akin to a “children’s toy.” Musk’s statement may simply be a playful jab at the 350 kW peak charge rates of other charging networks, such as IONITY in Europe and Electrify America, but it does hint that the electric car maker is considering the introduction of a charging system that peaks beyond 350 kW. Since very few vehicles today like the Porsche Taycan are capable of supporting 350 kW charging, a “V4” Supercharger that goes beyond 350 kW would allow Tesla to leapfrog its competitors once more.
Such a strategy is actually well within character for the electric car maker, seeing as the company also has a tendency to give competitors a short-lived edge before leapfrogging them. This was the case with the Taycan’s track capability, which was designed to overcome and crush the capabilities of the Model S. Following the Taycan’s unofficial record run at the Nurburgring, Elon Musk announced that the flagship Tesla sedan was taking on the notorious track too, and sure enough, the Plaid Model S completely walked over the Taycan’s unofficial record.
That being said, and with Tesla’s tendency to innovate in mind, it appears safe to assume that the current V3 Superchargers still have a long way to go. The 250 kW chargers are still quite early in their rollout, and thus, Tesla is almost certain to upgrade them and increase their peak charge capabilities in the future. That was the strategy that the company adopted for its V2 Superchargers, which could now charge up to 150 kW. Regardless of whether the Cybertruck’s over 250 kW peak charge rate is due to a “V4” or an upgraded V3 Supercharger, however, there is very little doubt that the next generation of EV fast chargers will be dominated by Tesla once more.
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
