News
Shark Tank-backed Natrion unveils solid-state battery separator with near-zero fire risk
Mark Cuban-backed Natrion has unveiled its latest developments in solid-state battery manufacturing with the new LISIC278 separator in a traditional pouch cell. The separator allows for a higher thermal resistance than other EV batteries, decreasing the risk of fires and combustion. Additionally, the cell showed a 40 percent increase in the charge rate compared to a conventional battery with the same capacity.
Natrion’s LISIC278 material utilizes a Lithium Solid Ionic Composite (LISIC) electrolyte that mimics the performance and specs of a standard polyolefin separator, which sits between the anode and cathode. The purpose of the separator is to prevent short circuits by keeping the electrodes apart while also allowing ionic charges to flow through with the necessary passage of currents in a cell. The LISIC cell can utilize significantly less of the electrolyte liquid by delivering high ion transport capability at ambient conditions. This keeps the cells’ thermal resistance above 200° Celsius (392 F) without having any porosity.
The LISIC278 separator’s ability to remain stable at high temperatures nearly eliminates the risk of fire, while it also exhibits a reduced ability for a thermal event altogether.
CEO and Co-Founder Alex Kosyakov said that reducing flammable liquid electrolytes was a main focus because reducing the perception that battery cells will catch on fire is a key to growing mass EV adoption:
“Reducing our reliance on flammable liquids in EV batteries is key to reducing fire risk and ultimately making mass EV adoption more viable. So the fact that this data shows we can produce battery cells that are just as efficient with only a small fraction of that liquid is a huge win.”
Cycling performance of a two-layer pouch cell at C/3 charge and discharge using LISIC278 with an NMC532 cathode and natural graphite anode.
In addition to the LISIC278 cells’ stability, it also showed a 40 percent increase in charge rate, taking just 3 hours to charge as opposed to 5 hours for a conventional cell with the same capacity. Natrion utilized a standard pouch containing NMC532 cathode, LP40 liquid electrolyte, and a natural graphite anode with a state-of-the-art separator for its experiments. This was compared to the Natrion pouch, which was identical but utilized the LISIC279 separator instead of a conventional design.
The cell with the LISIC279 separator also displayed a high initial coulombic efficiency. Conventional lithium-ion cells “typically” have less energy available than they are charged with when used the first few times. Natrion cells did not display this issue and “exhibited higher initial coulombic efficiencies and resultantly improved capacity retention at higher C-rates,” the company said.
Dr. Jon Tuck, an expert in energy storage for Silent Koala, said using less electrolyte liquid while maintaining a high initial coulombic rate is difficult, especially at the capacity and C-rate threshold given here. “These results are highly promising and show a versatility of use for LISIC that we have yet to see from other solid-state electrolyte materials. It signals the potential of Natrion’s materials to really advance the industry and the technological feats being developed,” Dr. Tuck added.
Natrion is based in Binghamton, New York, and has operations in Champaign, Illinois.
Solid-state batteries utilize a solid material to allow energy to flow from the cathode to the anode, instead of traditional lithium-ion cells, which utilize a liquid electrolyte solution. EV makers have not been able to switch to solid-state technology due to its complex manufacturing processes. Additionally, researchers have not been able to find ideal solutions for the material it would utilize in the batteries, and this continues to be a severe bottleneck of solid-state development.
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Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
