Tesla teardown expert Sandy Munro recently recreated what he believes will be the new 4680 Battery Pack by recreating the cell housing unit for a new video. Munro is an extremely familiar figure to Tesla fans as he spent some time breaking down both the Model 3 sedan and, more recently, the Model Y crossover. However, the design expert, along with his team of highly-qualified engineers, composed a copy of the 4680 cell pack, which will be used in future Tesla models to increase power, energy, and range.
Munro admits that this may not be exactly what Tesla will use in its future vehicles, but this could likely be extremely similar to what the electric automaker will introduce. For those that aren’t familiar, the Model 3 and Model Y previously used Tesla’s 2170 cells, which were able to provide superior performance compared to the 18650 cells that were used in the Model S and Model X. However, the electric automaker had been working with Jeff Dahn and other researchers at Dalhousie University in Canada to develop new, revolutionary cells that would provide longer lifespans with more power and more energy.
Interestingly, these cells with higher performance would dramatically decrease Tesla’s cars’ cost, as the materials they used would be easier to obtain and cheaper to produce. Creating a more efficient and cost-effective battery cell was the main strategy in having Tesla’s vehicles comparable with gas cars in terms of cost.
Credit: Munro and Associates
Tesla uses 4,416 2170 cells in the Model Y, but this number is significantly lower with the 4680 cells due to their larger size, which carries significantly more energy and power than the previous cell. Munro states that only 960 cells will be used in the new battery pack, and with the increases in range, power, and energy, Tesla is truly onto something remarkable that will only increase their lead in the EV sector.
“We are focusing our attention on this, which is so much better than what they had with the 2170,” Munro said.
Tesla rolled out the new 4680 cell at its highly-anticipated Battery Day event on September 22nd. CEO Elon Musk summarized Tesla’s plan to begin building a more affordable battery cell, ultimately leading to a more affordable vehicle. In summation, Tesla plans to decrease the cost of cell manufacturing by a significant amount and decrease the cost of money per kilowatt-hour by up to 56% through design, production efficiencies, and material sourcing.
One of Tesla’s biggest advantages in designing its own cells and packs is that it can significantly reduce costs while also increasing the ability to fix issues when they occur. One of the strategies with its battery cells from the very beginning was to individualize each cell so it was easier be traced and replaced if any issues were to occur. Teslarati covered a recent replacement of a Model S battery cell showed the process for fixing a pack when a cell goes awry.
The new 4680 cells have been used for several months, Elon Musk said in an interview earlier this year. However, not all vehicles utilize the new cells as the Kato Road cell production facility near Tesla’s Fremont factory is not producing enough yet. However, the increased production will eventually lead to Tesla using the 4680 batteries exclusively within its cars, which will lead to higher range ratings and increased performance specs, making Tesla’s EVs even more superior to its competitors.
Munro’s full 4680 pack breakdown is available below.
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”
