Toyota and Hyundai’s electric vehicle ads have been banned by the Advertising Standards Authority (ASA), the UK’s advertising watchdog. The ban was due to Toyota and Hyundai allegedly exaggerating the charging speed of their electric vehicles and misleading consumers about the availability of rapid-charging points across the UK and Ireland.
In Toyota’s case, the Japanese carmaker ran a campaign on its website for its bZ4X all-electric crossover. The website claimed that the bZ4X could be charged to 80% in about 30 minutes using a 150 kW rapid charging system. Toyota also noted that drivers could “easily find rapid-charging points in a number of public locations,” particularly in areas where drivers were “most likely to need them.”
As for Hyundai, the company also ran a similar campaign to promote the Ioniq 5, a well-reviewed all-electric vehicle. The carmaker used its own website, a YouTube video featuring footballers from the Premier League club Chelsea, and a digital billboard in London’s Piccadilly Square to promote its car. The campaign claimed that the Ioniq 5 could be charged from 10% to 80% in 18 minutes using a 350 kW rapid charger.
As noted in a report from The Guardian, the ASA received complaints about the two automakers’ advertising campaigns. The complaints reportedly challenged Toyota and Hyundai’s claimed charging times, which both carmakers admitted were achieved in perfect factory conditions. The automakers’ claims about the availability of rapid charging locations in the UK were also challenged.
Toyota has noted that at the time of its ad campaign, Zap Map, a service that shows EV charging points, did not show the exact locations of 150 kW rapid chargers, though the service did state that there were 419 charging points at 134 locations across the UK. Only seven were listed in Scotland, two were listed in Wales, and none were listed in Northern Ireland.
Hyundai’s Charge My Hyundai website, on the other hand, listed 37 ultra-fast 350 kW charging locations in Great Britain. Only six were listed in Ireland, and “limited numbers” were listed in Wales and Scotland. No locations were listed for Northern Ireland.
Toyota and Hyundai reportedly explained that their advertisements were not misleading, especially since drivers would likely not need rapid charging points on shorter drives. The ASA, however, noted that the advertisements gave consumers the impression that it was “relatively straightforward” to access rapid charging points across the UK. The advertising watchdog also noted that numerous real-world factors affected EVs’ charging times, but these factors were controlled by the carmakers in the tests that the ads were based on.
“If any of those conditions were less than optimal, then charging times would likely take longer,” the ASA noted.
The two carmakers argued that it was pertinent for them to be allowed to promote EV charge times to consumers. Despite this, the ASA opted to ban the automakers’ ad campaigns anyway. “We concluded that because the ads omitted material information about the factors that could significantly affect the advertised charging time and the limitations in relation to availability…the claims had not been substantiated and were misleading,” the ASA said.
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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
