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Ford Mustang Mach-E GT’s 5-second full power limit is a sneaky way to promote ICE
Ford has not been shy about the idea that the Mustang Mach-E GT is its most fun electric vehicle to date. Quick and powerful, the Mach-E GT promised zero-emissions fun behind the wheel. But in recent tests from auto review site Edmunds, it appears that the premium all-electric crossover features a weakness — one that could end up arguing for the internal combustion engine.
Edmunds is hardly a pro-Tesla site, with reviewers dubbing vehicles like the Model S Plaid as a “waste of money.” Yet in its recent review, the auto review site admitted that it’s difficult to recommend Ford’s flagship electric crossover against the Tesla Model Y Performance, despite the Mustang Mach-E GT offering “superior handling, ride comfort, and braking” than its Silicon Valley-made counterpart.
This was because the Ford Mustang Mach-E GT, ultimately, could only access five consecutive seconds of full power. This severely hobbles the driving experience of the vehicle, as it prevents the Mach-E from performing to its full potential during hard driving scenarios. The Mach-E GT could not even match the Model Y Performance’s brutality on the track. This is quite a notable observation, as the Model Y Performance is the slowest “Performance” branded vehicle in Tesla’s current lineup.
Edmunds host Ryan Zummallen outlined the Mustang Mach-E GT’s five-second power limit while reviewing the vehicle on the track. “On the track, the Mach-E GT is a more complete package. Its handling, braking, and responsiveness feel cohesive and sharp in a way that makes this Model Y feel messy by comparison. However, we have a big problem. We noticed that the Mach-E GT was losing power at the tail end of its acceleration runs. Then it was having trouble putting down power out of certain corners. And then it was struggling to get power all over the track.
“So what gives? Well, it’s because the Mach-E GT only ever gets five consecutive seconds of full power, that’s according to Ford, in order to preserve the battery life. Unfortunately, that makes the GT really disappointing to drive after a while, if you’re trying to go fast or even just have a little fun on a track. I mean, is that supposed to be a GT model or not? And on top of that, a GT Performance model, at that price with a five-second limit, I mean, in our minds, that’s unacceptable,” the Edmunds host said.
Overall, one cannot help but agree with Edmunds’ take on the Mach-E GT’s five-second full power limit. The Mach-E GT is already the vehicle’s performance version, so it is already expected to not be the most efficient in terms of battery consumption. Ford has also touted the Mach-E as a true Mustang in every sense of the word, as the Mach-E GT is as quick as they come. Yet by putting an evident limiter on the vehicle, Ford seems to be saying that drivers who like to access real performance for maximum driving fun should still opt for a combustion-powered Mustang.
A Mustang powered by the internal combustion engine, after all, is known for being a fun car to drive, and it is also not known to limit its power. When the Mach-E was launched, it got tons of support from the EV community, including Tesla CEO Elon Musk, yet the vehicle was widely panned by the Mustang community, many of whom refused to acknowledge the all-electric crossover as a proper Mustang. Quirks such as a five-second power limit on a flagship GT model would likely do very little to sway the classic Mustang crowd from their biases against the Mach-E.
Watch Edmunds’ review of the Ford Mustang Mach-E in the video below.
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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
