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Tesla patent paves way for compact battery systems that are easier to produce
Tesla’s use of batteries for its electric vehicles are crucial to their function. The company’s battery systems are the industry standard as they offer more range and density than their competitors. But despite this lead, a recently submitted patent for an aggregated battery system could put Tesla’s batteries head-and-shoulders above the rest of the pack, bar none.
While Tesla’s current battery system is top of the line, it could still be more cost-effective. Batteries themselves cost a lot to manufacture for Tesla, and not to mention, a lot to replace for an owner. The aim of the company’s newly submitted patent is to create a more efficient system that would simplify the entire battery component by combining the multiple battery systems into one single module.
Small battery cells are more advantageous than large battery cells for a number of reasons, including time, safety, thermal management and production of energy. All of these factors would highlight the advantages of small battery systems and would allow for an increase in the productivity of battery cells. The smaller cells means “a shorter length of electrode material that is devoid of material defects would be required.”
The new system would arrange the battery cells in an upright manner. The multiple cells would then function with one another by being connected to a series of collector plates with tabs on both the positive and negative ends of the battery. The tabs would then be connected to a positive or negative terminal of the battery cell. This would be done with multiple series of batteries that all have different responsibilities throughout the vehicle. They would all, however, be housed within a single battery container, allowing engineers or service workers easy access to each battery system.
The addition of this new patent could help reduce costs by utilizing smaller battery cells in battery systems. The patent states that while production will increase due to the reduced size and need for materials, the small cells can increase the complexity of the manufacturing of the systems. This makes Tesla’s batteries even easier to produce.
“For instance, with use of many small format cells, it is envisioned that several electrical interconnects could be required to accomplish the conveyance of current from the large number of small format cells and this may also contribute to the complexity in design and manufacture of the battery system. The battery cell could also have some functionalities that may be redundant when aggregated into the battery system. As each battery cell would be manufactured independently of others, time and resources would need to be spent thereafter for combining the cells and for forming the interconnects to the current collectors typically, though a welding, or soldering process. Hence, there is a need to produce battery modules in a simplified manner.”
The innovations offered by Tesla’s recently published patent could allow the electric car maker to equip its vehicles with battery packs that are both compact and high-density. This would be pivotal to upcoming vehicles such as the next-generation Roadster, the Tesla Pickup Truck, and the Tesla Semi, all of which are expected to require large batteries to achieve their target range, and thus would require large numbers of cells from the electric car maker.
Tesla is the head of the pack in terms of batteries, as the company’s vehicles have considerably longer ranges than the vehicle’s of its competitors. For example, a Tesla Model S Performance variant contains a 100 kWh battery, with a WLTP estimated 365 miles of range when charged to its capacity. The newly released Porsche Taycan Turbo S contains a 93.4 kWh battery with a WLTP estimated 256 miles of range on a full charge.
The full text of Tesla’s novel battery design patent could be accessed here.
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.
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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.
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”
