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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.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
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Tesla (TSLA) receives “Buy” rating and $551 PT from Canaccord Genuity
He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
Canaccord Genuity analyst George Gianarikas raised his Tesla (NASDAQ:TSLA) price target from $482 to $551. He also maintained a “Buy” rating for TSLA stock over the company’s improving long-term outlook, which is driven by autonomy and robotics.
The analyst’s updated note
Gianarikas lowered his 4Q25 delivery estimates but pointed to several positive factors in the Tesla story. He noted that EV adoption in emerging markets is gaining pace, and progress in FSD and the Robotaxi rollout in 2026 represent major upside drivers. Further progress in the Optimus program next year could also add more momentum for the electric vehicle maker.
“Overall, yes, 4Q25 delivery expectations are being revised lower. However, the reset in the US EV market is laying the groundwork for a more durable and attractive long-term demand environment.
“At the same time, EV penetration in emerging markets is accelerating, reinforcing Tesla’s potential multi‑year growth runway beyond the US. Global progress in FSD and the anticipated rollout of a larger robotaxi fleet in 2026 are increasingly important components of the Tesla equity story and could provide sentiment tailwinds,” the analyst wrote.
Tesla’s busy 2026
The upcoming year would be a busy one for Tesla, considering the company’s plans and targets. The autonomous two-seat Cybercab has been confirmed to start production sometime in Q2 2026, as per Elon Musk during the 2025 Annual Shareholder Meeting.
Apart from this, Tesla is also expected to unveil the next-generation Roadster on April 1, 2026. Tesla is also expected to start high-volume production of the Tesla Semi in Nevada next year.
Apart from vehicle launches, Tesla has expressed its intentions to significantly ramp the rollout of FSD to several regions worldwide, such as Europe. Plans are also underway to launch more Robotaxi networks in several more key areas across the United States.
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
