GM recently took the wraps off the Hummer EV, its first foray into the budding all-electric pickup truck market. Inasmuch as the vehicle’s five-minute video unveiling was compelling, it soon became evident that the impressive feats being showcased by the Hummer EV in its reveal were not necessarily real. Soon, a GM engineer reportedly admitted that the company doesn’t have a fully-functioning prototype of the Hummer EV yet, and the vehicle shown in the unveiling was computer-generated.
Yet despite this, the Hummer EV has garnered a significant amount of praise, even from veteran auto reviewers. Doug DeMuro, one of the most prolific car reviewers on YouTube, remarked that the Hummer EV seemed to be farther along in its development compared to rivals such as the Tesla Cybertruck and the Rivian R1T. This statement unsurprisingly caught the ire of the Tesla enthusiast community, and it did not take long before legitimate arguments against the Hummer EV were dismissed since they were coming from a “Tesla fanboy” angle.
But let’s forget Tesla and the Cybertruck for a minute.
Even if one removes Tesla and its post-apocalyptic steel triangle on wheels out of the equation, the Hummer EV still fails to do justice to the EV efforts of rival automakers, both veterans and newcomers alike. This is especially notable when it comes to the all-electric vehicles that companies like Ford, Porsche, Rivian, and Polestar have created. Compared to the Mustang Mach-E, the Rivian R1T, the Polestar 2, and the Porsche Taycan—even the Ford F-150 Electric—the Hummer EV is barely more than CGI.
This was highlighted by electric vehicle veteran and enthusiast Sean Mitchell, who noted that the display unit Hummer EV showcased in the all-electric pickup’s early reviews had an electrical cord running from the truck to a plug. This is common practice for vehicles that are placed in displays, as it prevents batteries from being discharged. There is only one issue: the Hummer EV is supposed to be equipped with a massive 200 kWh battery, a pack that could, at least theoretically, power the truck’s electronics for weeks on its own.
Granted, later comments from reviewers such as DeMuro noted that they did see a moving Hummer EV display unit during their initial review of the vehicle. This is a low bar, however, as a small motor and a small battery pack could have been used to propel the vehicle. This is something that has not been done by GM’s competitors. Multiple Porsche Taycans were driven onstage during the car’s unveiling, for example, and the Rivian R1T was fully-functioning when it was showcased for the first time. Even the Mustang Mach-E and Polestar 2 had working units that needed no electrical cord when they were unveiled.
With these in mind, as well as the fact that reports have pointed at the Hummer EV only being 18 months into its development cycle, it does seem to be a stretch to argue that the Hummer EV is farther along in its production than its competitors. The F-150 Electric, a truck that Ford notes will be produced in a few years, already has a prototype that is capable of pulling a train car that weighs 1 million pounds. The Rivian R1T, a truck that has spent years in development, recently completed an eight-day rally over 2,000 kms. That’s something that the Hummer EV seems to be capable of doing only in CGI, at least for now.
GM intends to start delivering the Hummer EV in Fall 2021. Rivian, for its part, is aiming to start deliveries of its very-much-production-ready R1T by mid-2021. The Tesla Cybertruck is also poised to begin deliveries by the end of next year.
Watch Sean Mitchell’s take on the Hummer EV’s unveiling 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
