Tesla CEO Elon Musk has stated that the Cybertruck would likely be Tesla’s best vehicle to date, and the all-electric pickup truck would be so impressive that its four-year wait would be worth it. But as the specs and price of the production Cybertruck were released on Thursday, a number of longtime EV watchers were quick to voice their disappointment.
In a way, it is unsurprising that many were disappointed by the production Cybertruck. The vehicle, after all, was smaller, had less range, and was significantly more expensive than the hulking steel beast that was unveiled in 2019. Even the production Cybertruck’s Armor Glass demonstration featured a baseball, which was far less impressive than the steel ball that was used four years ago.
This does not mean to say that the production Cybertruck is a complete miss, however. Far from it. A look at the production Cybertruck’s details would show that the vehicle, despite losing some size and range, gained a number of key features that make it a pretty stellar truck in its own right. Perhaps Elon Musk was right — maybe the Cybertruck is really destined to become Tesla’s magnum opus.
Here then are five features that we love about the production Tesla Cybertruck.
Steer-by-Wire
The production Cybertruck does not have a regular steering wheel. Instead, it has a rounded yoke that seems like a cross between the Model S and Model X Plaid’s yoke and a regular steering wheel. As it turns out, the Cybertruck is the first Tesla that is being shipped with a steer-by-wire system. This makes the vehicle very nimble and easy to maneuver. Tesla showed off some videos showcasing this feature, and they were quite impressive.
CONFIRMED: Cybertruck uses steer-by-wire. #DriveStainless @cybertruck @Tesla pic.twitter.com/znhO9y1tqG— Ryan McCaffrey (@DMC_Ryan) November 30, 2023
Critics of the original steering yoke in the Model S Plaid noted that the system would have worked if it used steer-by-wire. Well, the Cybertruck has it, and so far, reviewers of the vehicle seem to appreciate the feature.
Powergate
Despite being smaller than its original prototype, the Cybertruck is still a fairly large vehicle. It’s also made of stainless steel. With this in mind, consumers might find the Cybertruck’s frunk heavy and cumbersome if it was manually operated. Fortunately, this won’t be the case, as the production Cybertruck comes with a powered frunk system called the Powergate.
Tesla’s first powered frunk called Powergate.
It has one of the longest LES lighting elements on any passenger vehicle and reveals a hidden bench for two. pic.twitter.com/QrxS0q0JVa— Sawyer Merritt (@SawyerMerritt) November 30, 2023
As noted by Tesla, the Powergate features one of the longest LED lighting elements on any passenger vehicle in the world. It also reveals a hidden bench for two, plus over seven cubic feet of storage. These features, together with its powered nature, make the Cybertruck’s frunk the best in Tesla’s lineup today.
Beast Mode
The Cybertruck could be considered a flagship vehicle from Tesla. Its price certainly commands such a designation in the company’s lineup. It is then unsurprising that the electric vehicle maker gave the Cybertruck a dedicated high-performance mode called “Beast Mode.” Tesla explained Beast Mode as follows: “Cyberbeast features a rear drive unit with dual induction machines, active torque vectoring, and an electro-mechanical, front-locking differential producing a combined 845 HP.”
Beast mode Cybertruck will have 845 horsepower pic.twitter.com/TVZr097EMP— Rob Maurer (@TeslaPodcast) November 30, 2023
With Beast Mode, the Cybertruck would be able to achieve a 0-60 mph time of 2.6 seconds, a metric that actually exceeds that of the original Cybertruck prototype in 2019, which was listed with a 0-60 mph time of 2.9 seconds.
Rear-Wheel Steering
Together with its steer-by-wire system, the Cybertruck also features rear-wheel steering. Demonstrations of the Cybetruck in action show how the vehicle’s rear wheels help with maneuverability, allowing the stainless steel all-electric pickup truck to achieve a turning radius that is better than the Model S sedan. That’s pretty insane considering the physical size of the Cybertruck.
NEW VIDEO – 40 minutes of every single detail you need to know from my time driving the Tesla Cybertruck, from the stainless steel to hidden storage to the rear wheel steering to the range extender. Enjoy! Full video: https://t.co/5OaHnzpbNL pic.twitter.com/6eWstORrPr— Marques Brownlee (@MKBHD) December 1, 2023
Interestingly enough, rear steering is also a feature that is an improvement over the Cybertruck’s 2019 prototype. The hulking vehicle, when it was unveiled four years ago, did not feature a rear-wheel steering system at all, despite Elon Musk seemingly confirming the feature on Twitter prior to the 2019 unveiling.
Range Extender
While it is true that the production Cybertruck’s range is disappointing compared to the announced range of the original Cybertruck prototype from 2019, one could argue that a range extender actually makes sense. Tesla, after all, is not looking to become a niche automaker. The company wants to be a mass-market carmaker, and to do that, it must be able to produce as many vehicles as it can with the resources it has.
EXTEND
YOUR ADVENTURE
BEHOLD: The Range Extender®https://t.co/cqtl5Mi2sj pic.twitter.com/IMFvOhYPU0— Jose del Corral (@J0se) November 30, 2023
Being a large vehicle, the Cybertruck would have to eat a lot of batteries to achieve its target range from 2019. Thus, it is quite reasonable for Tesla to offer a range extender that adds about 130 miles to the Cybertruck Dual Motor (around 120 extra miles for the Cyberbeast) only to those who actually need the extra battery. Tesla could then produce the Cybertruck Dual Motor and Cyberbeast with 123 kWh battery packs, which is a pretty fair size for such a large vehicle.
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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.”
News
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
