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Tesla has proven itself, but Ferrari & Lamborghini says EVs can’t be supercars
In a rather rare act of solidarity, rivals Ferrari and Lamborghini have agreed on one thing: neither one would be making an all-electric supercar in the near future. Both companies note that electric car technology is not there yet to warrant an initiative to create a born-and-bred supercar.
Citing a rather dated example for the limitations of electric cars, the supercar makers noted that true high-performance vehicles need to be capable of launching multiple times in full power, over and over again, in both straights and corners. This is a limitation that was true for vehicles like the Tesla Model S, which is a monster in straight line races but compromised in closed circuits. These issues have largely been solved in more recent vehicles like the Model 3 Performance, an all-electric car that is capable of besting other high-performance sedans on a track.
The supercar makers also noted that the lack of sound from a roaring V12 or a supercharged V8 is a great part of the supercar experience, and this is something that is mostly absent in electric vehicles. Commenting on faux engine noises pumped into the cabin similar to the ones employed in the BMW i8, Ferrari’s chief technology officer, Michael Hugo, noted at the Geneva Motor Show that “we have to have a certain credibility.”
Maurizio Reggiani, chief technical officer at Lamborghini also noted that the big battery packs required of electric cars could compromise some of the brand’s design elements. Lamborghinis are already very low on the ground, and the CTO noted that stuffing a battery pack on the floor would sacrifice the benefit of a low center of gravity that the company’s wedge-shaped supercars enjoy.
Quite interestingly, Porsche CEO Oliver Blume noted in the 2019 Annual Press Conference that emotion in cars is not just about the noise that an engine makes. It is also about design, quality, driving characteristics, and the holistic experience of driving the vehicle. Porsche is hardly a neophyte in terms of creating supercars either, with vehicles like the 919 Hybrid and the 918 Spyder under its belt, so Blume’s statement could be taken with a notable amount of legitimacy.
RELATED: Exclusive: Porsche’s electric heart beats in the Taycan’s Zuffenhausen factory
It is a bit disappointing to see Ferrari and Lamborghini dismiss electric propulsion at this stage in the game. Just last week, Germany’s big three, Volkswagen, BMW, and Daimler, all decided that electric cars are the way forward, signifying an upcoming industry shift. What is somewhat surprising from Ferrari and Lamborghini’s recent comments was the fact that the companies seemed to have completely ignored the existence of all-electric supercars that are present today.
There’s the Rimac C_Two from Croatia, which matches and even exceeds any Lamborgini and Ferrari in terms of its explosive power. There’s the Nio EP9 that conquered the Nurburgring’s records. There’s even the Pininfarina Battista, an all-electric 1,900 bhp monster that can hit 186 mph in less than 12 seconds. All of these vehicles are fully electric.
Of course, there is also the next-generation Tesla Roadster, which goes from 0-60 mph in 1.9 seconds at its base form. Elon Musk dubbed the vehicle as a “hardcore smackdown” to gasoline cars, and in terms of specs, it’s downright frightening, from its 250+ mph top speed, and its higher trims, one of which is called the “SpaceX package,” which uses literal rocket technology from Musk’s private rocket company. The Rimac C_Two is expected to start deliveries in 2020, the same year as the next-gen Roadster. The NIO EP9 has been around since 2016, and the Pininfarina Battista is expected to arrive in 2020.
So much for electric car technology not being there yet.
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
