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VW prepares to spend first $300M of $2B on EV charging infrastructure project
Volkswagen will designate $300 million by 2019 to establish a network of more than 450 electric vehicle charging stations in 11 U.S. major metropolitan areas and along high traffic highways. The announcement came this week through Volkswagen’s new wholly owned subsidiary called Electrify America, which will support increased use of zero emissions vehicles (ZEVs) in the U.S.
The initiative is part of the Federal Trade Commission agreement with Volkswagen to compensate for “Dieselgate,” the systematic and willful deceit of U.S. emissions regulators through special software in Volkswagen’s diesel vehicles. Electrify America is a product of Volkswagen’s 2016 court settlement with the California Air Resources Board and the U.S. EPA. We recently reported that the VW emissions scandal has given life to a new generation of electric vehicle start ups like Rivian Automotive. The Illinois-based electric car company has leased land to a logistics company that’s using the space as a temporary holding area for the Dieselgate VWs. Teslarati commissioned a videographer to capture drone shots showing roughly 14,000 affected cars waiting to be disposed of as a result of the scandal.
Thousands of VW Diesels being Stored at Rivian Factory, Photo: Jim Finch for Teslarati
Electrify America will support and promote greater availability of customer-friendly infrastructure in areas with high demand for ZEVs. With hundreds of stations with non-proprietary chargers across the U.S., Electrify America‘s first National ZEV investment cycle will make it easier and faster for millions of Americans to charge their electric vehicles while also “encouraging more drivers to explore and embrace electric driving.”
Electrify America‘s first stage plans
Electrify America has released information through a press release and website that it will establish a network of 2,500+ non-proprietary electric vehicle chargers at more than 450 station sites.
- Approximately 240 charging station sites will be installed or under development outside of California by the end of the first cycle.
- These sites will be located along high-traffic corridors between metropolitan areas, including multiple cross country routes.
- They will include between four and ten 150 kW and 320 kW individual DC fast chargers at each location.
- Charging sites will be present in 39 U.S. states.
- They will be built along corridors with a high correlation with the EV Charging Corridors recently designated by the Federal government.
- Sites will be, on average, about 66 miles apart, with no more than 120 miles between stations.
Comparisons to Tesla’s Supercharger network
The extent and speed of Electrify America‘s planned installation schedule roughly parallels the early years of Tesla’s DC Supercharger network in the U.S., which began in late 2012.
The new Electrify America chargers will be non-proprietary. Tesla vehicles use a proprietary plug design, although the company sells compatible adapters. Tesla’s DC CHAdeMO adapter is limited to 50 kilowatts of power.
With proposed charging power set at 320 kilowatts, the Electrify America network would be the first high power contender, at scale, to the Tesla Supercharger network. Tesla is the only EV manufacturer right now capable of charging vehicles at up to 120 kW, which equates to about 170 miles of range in as little as 30 minutes. Tesla has built a fast DC Supercharger network that supports maximum theoretical charging rates of up to 145 kilowatts, according to the company’s website.
The Electrify America network will provide 2500+ chargers at more than 450 stations. At this writing, Tesla Superchargers are at over 2,200 charging stalls at 350 locations across the U.S.
The proximity of Electrify America‘s chargers along frequently traveled corridors means that many shorter range ZEVs available today will be able to use this network. Most Tesla sites are located along highways away from large metropolitan areas and are primarily intended for use by travelers on long-distance trips.
It seems likely that the Electrify America chargers will be located in existing public infrastructure like rest stops. Tesla has a growing network of Destination Charging Partners with dedicated Tesla Wall Connectors at their properties. The company’s website describes how these are primarily destinations where a Tesla owner would stay for several hours at a time, such as ski resorts, restaurants, hotels and others. They are safe, well-lit, and infuse a feeling of security when Tesla owners need to recharge their vehicles.
Electrify America stations will be designed to support many existing and anticipated charging technology needs, including evolving industry standards like the Combined Charging Standard (CCS) and the Open Charge Point Protocol. Last year, Tesla joined the European CharIN consortium that is leading the development of CCS.
Tesla reminds its owners that there are many factors that affect the actual charge rate, including ambient temperature, utility grid restrictions, and charging traffic. Tesla constantly incorporates owner feedback into its maintenance and research and development efforts, offering a distinct consumer experience for Tesla owners who use its Superchargers.
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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.
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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.
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
