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Hyundai throws the gauntlet against Tesla and Ford, declares itself as EV charging leader
Hyundai is determined to be recognized as a legitimate and formidable competitor in the electric vehicle sector. And based on the South Korean automaker’s recent statements, it appears that Hyundai is setting its sights on some of the market’s most prominent players, including Tesla and Ford, both of whom have delivered and unveiled vehicles that are well-reviewed and loved by their owners, both present and future.
So confident is Hyundai with its lineup of Ioniq vehicles that it plans to offer shoppers a few months behind the wheel before making a final decision. This try-and-buy program is a notable show of confidence, and one which Olabisi Boyle, vice president of product planning and mobility strategy at Hyundai Motor North America, believes would bring loyal customers to Hyundai’s electric vehicle lineup.
“When you try before you buy and you find it can work for you in your everyday life, you tend to now want to move toward potentially owning. We do expect that they’ll transition from try to buy,” he said.
Hyundai is launching its Ioniq subbrand with three vehicles: the Ioniq 5, Ioniq 6, and the Ioniq 7. The 5 is comparable to Hyundai’s Tuscon compact crossover, the 6 is comparable to the Sonata midsize sedan, and the 7 is comparable to the Palisade midsize crossover. This is but the first phase of its full-court EV press, too, as more electric cars are on the way. More importantly, the South Korean automaker is promising a number of impressive attributes for its Ioniq lineup, such as 300 miles of range for its base model, and in the case of the Ioniq 5, an 800-volt architecture.
This should give the Ioniq 5 an edge against its rivals such as the Ford Mustang Mach-E, Volkswagen ID.4, both of which are built with 400-volt systems. Hyundai estimates that with its 800-volt system, a five-minute charge at the fastest public chargers could provide 68 miles of range. An 18-minute charge could also fill the Ioniq 5’s battery from 10 to 80%, provided that ideal conditions are met.
Ryan Miller, manager of electrified powertrain development at the Hyundai Kia America Technical Center, believes that this establishes the South Korean automaker as the leader in charging speed. Miller noted that rivals such as the Mach-E and the Model Y are nowhere close to the Ioniq 5’s charging speed, and that Hyundai will be the leader for some time. “If you look at the Mach-E or the Model Y, they’re not even close to our capability. We really will be the leader in the market for charging time,” he said.
Unfortunately for Miller, Tesla’s Supercharger V3 stations are already faster than Hyundai’s announced peak charging speed for the Ioniq 5. Under ideal conditions, V3 Superchargers could recover up to 75 miles of range in five minutes at charge rates of up to 1,000 miles per hour. Tesla was able to do this with a 400-volt architecture. With this in mind, one can only imagine what an 800-volt Tesla could do.
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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.”
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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
