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Tesla certified by South Korean government to enter local car market
Tesla Model S and Model X vehicles will soon hit the South Korean market as early as May, following an approval issued by the country’s Ministry of Land, Infrastructure and Transport division. The nod to Tesla for certification is part of a larger South Korean government framework to create an eco-friendly car market, with goals to elevate air quality standards to western European levels within a decade.
Tesla will unveil both sales and Tesla service centers when it officially opens its doors inside South Korea’s largest shopping mall and at the famed Gangnam district, equivalent to the Rodeo drive of Seoul. Service centers will provide core maintenance functions and house charging stations. Any necessary exterior repairs to Teslas there will be handled by certified subcontractors.
Korea’s domestic hybrid and electric market sold a total of 68,774 cars last year, compared to 41,956 in 2015. This was the highest proportional rise worldwide, according to The Korea Herald. In December, South Korea’s Ministry of Trade, Industry, and Energy announced plans that it would increase the number of traditional gasoline-electric hybrids, plug-in electric hybrids, pure electric vehicles, and hydrogen fuel cell cars to 20 percent of all its national sales by the year 2020.
Much competition awaits Tesla in the South Korean EV market. Hyundai’s EV catalog there includes the Grandeur, Sonata, and Ionic brands as well as the Kia Niro. And the Ministry of Land, Infrastructure, and Transport that completed Tesla’s registration is currently reviewing Chinese EV carmaker BYD’s application to enter the South Korean market, with expected approval next week.
Never to be daunted, Tesla will reveal its brand in a spectacular, four-story mall complex about six miles east of Seoul, at Starfield Hanam. Set in an idyllic location, beside an expansive lake and a sweeping mountainous backdrop, the recently opened Starfield Hanam atmosphere combines cultural, leisure, and entertainment facilities. The mall is close to nearby tourist hot-spots, connected to Seoul’s major freeway system, and is adjacent to the subway network. “South Korea’s first ‘shopping theme park’ is a new business model for the country, integrating the brick and mortar shopping experience with E-Mart distribution,” said Yong-Jin Chung, vice chairman of Shinsegae Group. “We carefully curated the selection of stores and services to benefit our customers and satisfy their diverse needs.”
South Korea will be Tesla’s fifth market in Asia after China, Hong Kong, Japan, and most recently Taiwan. Asia serves as a significant mechanism to establish the Tesla global brand. On-the-ground planning began last June, 2016, when Tesla’s website listed four new positions for sales and engineering in South Korea and one recruiter for the country, with base in Japan.
Seoul offers Tesla access to a population in the primary trade area of 3.5 million, a further 9.4 million in the secondary trade area, and a total of 25.6 million in greater Seoul. Last April, Tesla CEO Elon Musk expressed confidence that the South Korean market will help Tesla to expand its customer base, especially with the introduction of the new lower-priced Model 3 sedan.
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
