News
Nissan to launch 23 new electric models, 15 new EVs by 2030
In the world of global automotive development, companies that have long relied on gas-powered motors are announcing new plans to transition to electrification on a nearly daily basis. Today, Nissan became the most recent company to announce electrification plans, pledging to launch 23 new electrified models and 15 new battery electric vehicles (BEVs) by 2030 as a part of its long-term strategy to place electrification at the core of the company’s product line, joining the Nissan Leaf and ARIYA in the lineup of EV models.
“The role of companies to address societal needs is increasingly heightened. With Nissan Ambition 2030, we will drive the new age of electrification, advance technologies to reduce carbon footprint, and pursue new business opportunities,” Nissan CEO Makoto Uchida said today. We want to transform Nissan to become a sustainable company that is truly needed by customers and society.”
Nissan’s EV push accelerates as ARIYA crossover opens reservations
Nissan has set itself up for a more successful transition to electric vehicles by slotting out specific sales goals in each region of the world. After all, not every market is as committed to EVs as others. Still, the areas of focus for Nissan are Europe and Japan, which hold its two highest goal EV sales concentrations compared to any other region globally. Nissan will aim for at least 75% of its sales in Europe to be electric by 2026. Japan at 55% and China at 40%. The United States is also at 40%, but Nissan said its goal will be 2030 to reach that sales goal in the U.S.
“We are proud of our long track record of innovation and of our role in delivering the EV revolution,” Nissan COO Ashwani Gupta said. “With our new ambition, we continue to take the lead in accelerating the natural shift to EVs by creating customer pull through an attractive proposition by driving excitement, enabling adoption, and creating a cleaner world.”
Building an effective electric fleet goes well beyond putting battery packs in newly-designed vehicles. Infrastructure and accessibility are essential and often overlooked by automakers. Consumers sit at the forefront of the plans to electrify fleets and are often let down by companies that have focused on products but not on how they will thrive in an ever-changing world. Nissan said it aims to launch its EVs with a proprietary all-solid-state battery by 2028 and would launch a pilot plant in Yokohama, Japan, as early as 2024. The use of solid-state batteries could reduce charging time by one-third, and in-house development is expected to bring battery costs down to $75 per kWh by 2028. $100 per kWh is a commonly agreed-upon price at which EVs would reach parity with gas cars, so this would make Nissan’s EVs quite cost-effective if it can come through on its affordable battery development efforts.
Nissan is also planning to expand its ProPILOT technology to over 2.5 million vehicles in its and INFINITI’s lineup by 2026. The company’s semi-autonomous driving systems will rely on LIDAR systems on “virtually every new model by fiscal year 2030.” Interestingly, Nissan has said in the past that LIDAR is not needed for self-driving.
The effort moving forward will require partnerships and collaborations with industry leaders. Nissan said that its need to launch in various regions will require partnerships with suitable partners for more efficient mobility in cities and sustainable mobility in rural areas.
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News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
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.
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
