The Ford Mustang Mach-E has made waves in the electric vehicle sector, thanks to its combination of features, price, and its rather controversial name. Recently, the American automaker formally took a select group of reviewers in London for a brief ride in its newest electric car. Reviews of the short drive gave some insight on how Ford’s newest battery electric vehicle will compare to its most comparable counterparts, like the upcoming Tesla Model Y.
Car Magazine writer Tom Wiltshire shared that his first impressions of the Mach-E was that the vehicle looked smaller than its 4.7-meter length. Strangely enough, the vehicle’s Mustang cues actually work for the Mach-E, giving the all-electric crossover a distinct look that’s good and aggressive at the same time.
Make no mistake, the Mach-E is still a premium electric vehicle, and Car Magazine‘s writers noted that. The vehicle’s instant torque provided a satisfying surge of acceleration. That being said, the Mach-E’s 0-60 mph prototype’s run of less than five seconds does not hit “in the same way a Tesla would,” according to Wilshire. It’s plenty quick — just not Tesla quick.
The Ford Mustang Mach-E offers three driving modes that are interestingly (or perhaps strangely) dubbed as “Whisper,” “Engage,” and “Unbridled.” It also offers a One-Pedal Mode for regenerative braking, a feature Car and Driver writers raved about on the Model S. The suspension was firm but the seats were comfortable, making the ride pleasant. Its refinement was easily on Tesla’s level, according to the reviewers. However, its EU-required noisemaker was mostly absent of the “distinctive but emotional” sound that Ford listed for the car.
The car’s interior felt impressively high-quality and while the vehicle’s dash screen was difficult to operate, its speaker system is unique in that it spanned the full width of the car. This provides the Mach-E with great interior sound, though it would meet some strong competition with the Model Y and its custom Tesla speakers, which have garnered rave reviews from owners.
While it is too early to tell if the Mach-E will be a success, the look of the car its performance during its short drive through the streets of London was fairly impressive. “If the price tag is right and Ford can pull off the same trick it’s been doing for many years this could be an EV well worth watching,” Wiltshire wrote.
The Ford Mustang Mach-E will be competing in the same segment as the Tesla Model Y, and while the two vehicles are comparable for sure in terms of pricing, acceleration, range, and cargo capacity, they could inevitably complement each other in the growing crossover market. With competitive pricing and specs right on point with the Model Y, many of the electric crossovers that have been produced by some of the legacy automakers such as the Jaguar I-PACE could be in for a rude awakening.
Ford’s move toward electric vehicles was complimented by Tesla CEO Elon Musk, who has always noted that his company’s competition does not lie within other EVs, but within carmakers who refuse to adapt to the electric revolution. Sustainable transportation options are becoming more prevalent as some of the largest automakers in the world are fully embracing the new wave of transportation.
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
