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Nikola Motor unveils 1,000 HP hydrogen-electric truck with 1,200 mi. range
Nikola Motor Company unveiled its zero emissions Class 8 truck at company headquarters this week. Dubbed the Nikola One, the once all-electric prototype now hydrogen powered, boasts an incredible 1,200 miles of range and will be stiff competition for Tesla’s planned entry into the long haul trucking segment with its all-electric Tesla Semi.
Nikola One is sleek and futuristic. Because it has no diesel engine, the cab can be pushed forward as far as possible to give the driver a panoramic view of the road ahead. Individual electric motors for each of its six wheels provides an incredible 1,000 horsepower and 2,000 lb-ft of torque. Both numbers are considerably higher than for a typical tractor.
Power comes from a 320 kWh battery developed by the company. “Our battery engineers have made major advances in storage and cooling,” said Nikola founder and CEO Trevor Milton. “We believe our lithium battery packs are more energy dense and weigh less than any available vehicle production pack per kWh.”
The company had previously designed Nikola One as an electric truck that would have a range extender via a turbine powered by natural gas. But at the reveal, the company announced the turbine has been replaced by a hydrogen fuel cell that will keep the battery charged and provide a range between 800 to 1,200 miles.
The prototype on display this week is technological marvel. An array of sensors and cameras permit the driver to have a full 360º view around the entire rig at all times, eliminating blind spots all together. Inside the cab there is room for a one or two full size beds, a refrigerator/freezer, a 40″ curved 4K TV with Apple TV, as well as Wi-Fi and 4G LTE connectivity. Comfort and convenience for the driver will be unparalleled.
The company says it is evaluating a number of locations for its factory. “Nikola will build a world-class advanced manufacturing facility which will create thousands of new jobs,” says Trevor Milton. He claims the factory will be able to build 50,000 trucks a year by 2020.
So far, one might be forgiven for thinking the Nikola One is mostly vaporware except for one thing. The company has struck a deal with Ryder Systems, which has agreed to be Nikola’s exclusive nationwide distribution and maintenance provider. Ryder has a network of over 800 service locations in North America today.
“We are extremely excited to finally show off the Nikola One to the public for the first time,” said Milton. “There are many out there that wondered if we would deliver, but today we proudly show off the most advanced semi-truck ever built. We couldn’t be more thrilled to have one of the best brands in America, Ryder, as our trusted partner providing nationwide sales, service and warranty for Nikola Motor Company.”
The financial plan for the company calls for leasing the trucks for 72 months at rates of between $5,000 and $7,000 a month. The lease fee will cover all scheduled maintenance at a Ryder facility and the cost of hydrogen fuel. Talking a page from the Tesla playbook, Nikola is accepting reservations for its battery/fuel cell Class 8 truck. It says it has received billions of dollars worth of deposits which cost $1,500 and are fully refundable.
Meanwhile, Elon Musk has let it be known that he also has his eye on the heavy truck market. We can be sure his vision for a Tesla Semi won’t involve any onboard fossil fueled range extender engines or what he dismissively calls “fool cells.”
The Coast of Hydrogen
Nikola says it intends to develop a network of 350 hydrogen fueling stations across North America for its trucks, beginning in 2018. It would be similar to the Supercharger network Tesla has been building to support long distance travel for its fleet of electric cars. But here’s the rub.
Hydrogen refueling stations cost $2 million or more to construct. It is estimated that a typical Tesla Supercharger location costs about one tenth as much to build. Exactly who will be paying for the hydrogen refueling system is unclear. And there are other issues with using hydrogen. Yes, the waste products of a fuel cell are water vapor and heat. But getting the hydrogen requires tremendous amounts of energy.
In the US, most hydrogen is derived from natural gas. Take the process back a step or two and that natural gas is often the result of fracking, a process that at the very least is controversial and at worst results in heavy pollution of the land and groundwater in the vicinity. Whether the Nikola One can accurately be called “zero emissions” is a matter for debate.
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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
