General Motors has officially launched the GMC Hummer EV, the veteran automaker’s answer to the Tesla Cybertruck, the Rivian R1T, and the upcoming Ford F-150 Electric. A look at the features and specs of the massive all-electric truck shows that GM means business.
At first glance, the Hummer EV looks every bit like its namesake, which, ironically enough, was one of the vehicles that ushered in the extinction of the EV1, GM’s modern electric car. It’s a behemoth of a vehicle like Hummers of years past, and it exudes toughness from the ground up. The Hummer EV has an intimidating stance, making it evident that GM is looking to establish the vehicle as a formidable force in the all-electric pickup truck market.
The Hummer EV will be offered in four trims: the Edition 1, the EV3X, the EV2X, and the EV2. The rollout of the vehicle will be done in four phases too, with the Edition 1 rolling out next year and the rest of the lineup being released at a later date — some at a significantly later date.
Hummer EV Edition 1
The Hummer EV Edition 1 will be equipped with three electric motors that provide the vehicle with 1,000 horsepower and 11,500 pound-feet of torque. The vehicle is fitted with a 200-kWh Ultium battery pack, giving it an estimated range of over 350 miles per charge. Fast charging is supported up to 350 kW thanks to its 800-volt architecture, allowing the Hummer EV to gain 100 miles of range in just 10 minutes.
Performance-wise, the Hummer EV Edition 1 is not a slouch, with GM stating that the all-electric truck will be capable of going from 0-60 mph in just 3.0 seconds thanks to a driving mode that the veteran automaker calls “Watts to Freedom.” The Hummer EV’s massive size does not mean that it’s not nimble either, with GM releasing the vehicle with 4-wheel steering features and a “Crabwalk” function, which would help the truck navigate tight spaces.
Other unique goodies are available on the Edition 1, which as an “Infinity Roof” with modular, transparent sky panels, unique badging in the interior, and a white exterior.
The Hummer EV Edition 1 starts at $112,595.
Hummer EV3X
After the Edition 1 rolls out next year, the Hummer EV3X will be released in the fall of 2022. The EV3X, just like the Edition 1, will be fitted with three electric motors, but it is estimated to have only 300+ miles of range per charge. While the vehicle is not listed with the Edition 1’s “Watts to Freedom” driving mode, it is still an impressive truck with 800 horsepower and 9,500 lb-ft of torque.
Features like Crabwalk, adaptive air suspension, torque vectoring, “Adrenaline Mode,” 4-wheel steering, and GM’s SuperCruise are standard on the Hummer EV3X.
The Hummer EV3X starts at $99,995.
Hummer EV2X
The Hummer EV2X is expected to be available on Spring 2023. Unlike the EV3X and the Edition 1, the Hummer EV2X will only be equipped with two electric motors that enable 625 horsepower and 7,400 lb-ft of torque. Similar to its EV3X sibling, the EV2X is estimated to have a range of 300+ miles per charge.
The EV2X is still quite robust with features, with still having features like Crabwalk, 4-wheel steering, and an adaptive air suspension system that allows the truck to navigate tricky, off-road terrain. It does, however, not have torque vectoring features.
The Hummer EV2X starts at $89,995.
Hummer EV2
The base Hummer EV2 will not be available until Spring 2024, making it over three years away. Like the EV2X, the EV2 has two electric motors that produce 625 horsepower and 7,400 lb-ft of torque. Despite its entry-level status, the Hummer EV2 is still well-equipped with features as well, including Supercruise, an “Adrenaline Mode” and 22″ wheels with 35″ tires.
The EV2, however, has the least range in the Hummer EV lineup, with the vehicle having a rather conservative 250+ miles of range per charge. It also lacks some key features that make the EV2X, EV3X, and Edition 1 very compelling, such as Crabwalk, adaptive air suspension, and 4-wheel steering.
The base Hummer EV starts at $79,995.
Watch GM’s unveiling of the Hummer EV in the video below.
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
