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Tesla’s vertical integration and preparation were keys to avoiding chip shortage: Reuters
Tesla seemed to be made of Teflon in 2020 and 2021, as the company seemed to avert the semiconductor chip shortage with relative ease, while longstanding and prestigious automakers scaled back production due to the lack of supplies. Tesla, a company run like no other, avoided these chip shortages by using its vertical integration and preparation, along with some other strategic moves, to solidify its company’s position as the big winner of the uncertain 2020 and 2021 global automotive market.
After reporting that it had crushed Wall Street consensus expectations regarding Q4 2021 deliveries, Tesla shares skyrocketed over 13% yesterday. The unlikely, small-but-mighty car company now based out of Austin, Texas, after a more than a decade-long relationship with Northern California, which had its ups and downs, averted crisis over the past two years, and continued its streak of manufacturing growth, by keeping itself stocked on the various chips and semiconductors that keep its vehicles moving.
Strategies like delivering some cars with missing parts, like USB ports or Bluetooth chips, or even axing lumbar support in some cars, helped make things easier to build. These strategies, along with various price raises to address higher part costs and expedited shipping measures, helped keep the balance sheet healthy. Customers may have paid more for their cars than they would have in early 2021, but it did not affect sales figures like one might expect. Tesla beat Wall Street estimates by 16% when it released delivery figures for the final quarter of 2021.
Momentum started when Tesla stated in its Q2 2021 Earnings Call that it had developed a series of 19 microcontrollers in-house that would help avoid the chip shortage. “Our team has demonstrated an unparalleled ability to react quickly and mitigate disruptions to manufacturing caused by semiconductor shortages,” the company wrote in its Shareholder Deck for Q2. “Our electrical and firmware engineering teams remain hard at work designing, developing, and validating 19 new variants of controllers in response to ongoing semiconductor shortages.”
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Tesla delivers record 241,300 cars in Q3, handily beating consensus estimates
This is just one part of Tesla’s vertical integration, which helps the company avoid the massive shipping bottlenecks that kept cars away from customers for the majority of 2021. Other companies were forced to delay production and deliveries; there just were not enough chips to go around. However, Tesla’s key advantage over other OEMs was the fact that many elements of its products are designed in-house, down to the most complex portions of a design. “We’re designing and building so much more of the car than other OEMs, who will largely go to the traditional supply base and like I call it, catalog engineering. So it is not very adventurous,” CEO Elon Musk said during the Q3 2020 Earnings Call.
Reuters spoke to a Tesla insider who is involved in the engineering of the company’s chips, which shed light on how effective the vertical integration advantage is. “We design circuit boards by ourselves, which allow us to modify their design quickly to accommodate alternative chips like powerchips,” the employee told Reuters.
The series of in-house chips, which were easily modified to accommodate other types of chips that Tesla was in need of, was not the only strategy the automaker used to avoid bottlenecks. Tesla also prepared by not halting the number of chips it had ordered from suppliers, a move that other car companies did not replicate. Instead, Tesla never reduced its production forecast because of the pandemic or supply chain shortages, which may have been its most crucial move. “They’ve just been smarter about it than other companies in terms of making sure there’s buffer stock,” a supplier executive for Tesla indicated.
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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”
