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Nissan entangled in falsified emissions and fuel economy data scandal in Japan plants
Nissan Motor has admitted that an internal review has revealed falsified emissions testing data in most of its factories in Japan. The Asian country’s third-largest carmaker has not announced how many of its vehicles were involved in the controversy, though the company stated that inspectors used “altered measurement values” on emissions inspection reports.
In a statement on Monday, Nissan noted that the tests conducted on its vehicles “deviated from the prescribed testing environment.” Nissan, however, believes that all of its car models except the Nissan GT-R — the company’s flagship sports car — complied with safety standards in Japan. Nissan’s statement further noted that the falsification problems did not affect fuel-economy findings.
Nissan has assured the public and its investors that investigations are now underway. The carmaker also stated that it had retained Nishimura & Asahi, a prominent Japanese law firm, to lead the investigation. Nevertheless, Nissan’s disclosure comes as the latest blow to the Japanese carmaker. Last October, after all, Nissan was faced with controversy after it was forced to stop the operations in its Japanese factories and recall 1.2 million of its cars after it was revealed that vehicle inspections in its facilities had been conducted by uncertified technicians.
For now, Nissan’s current emissions problems are still a far cry from the scope of Volkswagen’s Dieselgate scandal, which resulted in a $25 billion fine to the German legacy carmaker. Nissan’s current emissions issues, if any, seem to be caused by the company’s mismanagement of its facilities and its workforce. Based on what Nissan has revealed so far, it appears that the company’s falsified emissions data were at least not the results of a deliberate effort.
Volkswagen, on the other hand, admitted to intentionally writing software to cheat emissions tests. From 2006 to September 2015, Volkswagen promoted its cars in the United States as “Clean Diesel” vehicles. Over that time, about 580,000 sedans, SUVs, and crossovers were sold by Volkswagen in the US under its flagship VW badge, as well as under its Audi, and Porsche brands. As the scandal broke, however, it was revealed that the exhaust control equipment in Volkswagen’s diesel vehicles was programmed to shut off as soon as the cars were off regulators’ tests.
Volkswagen initially attempted to shift the blame on a group of rogue engineers for Dieselgate, before quietly backing away from the claim. On December 2017, Volkswagen engineer Oliver Schmidt was sentenced to 7 years in prison on a Detroit court for his part in the scandal. Earlier this year, the United States Justice Department also indicted former Volkswagen chief executive Martin Winterkorn on four felony charges.
While Nissan could be sitting on what could be a scandal that could be the biggest in its history, the Japanese carmaker is a least handling its ongoing problems a lot better than Volkswagen. If Nissan could nip its emissions scandal at this point, it could at least rest assure that it merely made a sin of inadvertent omission — significantly different than its German counterpart’s sin of deliberate commission.
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
