Tesla’s Q3 Update Letter revealed that the electric automaker is trending toward a possible manufacturing rate of 1 million vehicles a year after a 25% increase in Quarter-over-Quarter Model 3 and Model Y production at the Fremont facility was listed in the document. Between Fremont and Giga Shanghai, Tesla is currently operating with an annual production rate of 840,000 cars a year.
Tesla’s production of both the Model 3 sedan and Model Y crossover increased from 400,000 to 500,000 vehicles annually from Q2 to Q3. The two update letters, which detail the company’s progress during two separate three-month spans, indicate manufacturing efficiency and newly installed production lines.
The company wrote:
“We have recently increased capacity of Model 3 / Model Y to 500,000 units a year. In order to do this, we restarted our second paint shop, installed the largest diecasting machine in the world, and upgraded our Model Y general assembly line. Production should reach full capacity toward the end of this year or beginning of next year.”
Tesla (TSLA) crushes Q3 earnings with record profit, accelerates global growth
The increase in production is expected, as Tesla expanded its Model Y production line at the Fremont plant in mid-July. The company filed several applications on the City’s Public Access website, which detailed planned advancements of “General Assembly 4.5,” which is designated for Tesla’s newest vehicle’s manufacturing processes.
Additionally, the installation of two die-cast machines allowed for the Model Y’s single-piece casting design, which increased safety and manufacturing efficiency.
Tesla readies Model Y Giga Press for next-level production efficiency
But the global push toward electrification for Tesla goes far beyond Northern California. In China, the company’s Giga Shanghai facility has a production capacity of 250,000 Model 3 units a year. The company detailed its advancements at the plant in the Q3 Update Letter:
“Model 3 production capacity has increased to 250,000 units a year. We reduced the price of Model 3 to 249,900 RMB after incentives, making it the lowest-price premium mid-sized sedan in China. This was enabled both by lower-cost batteries and an increased level of local procurement. As a result of this shift in cost and starting price, we recently added a third production shift to our Model 3 factory. “
Currently, the Model 3 is the only Tesla vehicle produced at the facility. However, the company plans to begin building the Model Y at Giga Shanghai by the end of 2020.
With Fremont and Shanghai producing 590,000 and 250,000 vehicles annually, Tesla is on track to reach a manufacturing rate of 1 million vehicles per year. It is possible that with Giga Shanghai’s introduction of the Model Y, the two plants could reach the million vehicle threshold together. However, Tesla has plans for two other factories that will contribute to an ever-growing annual production rate.
In Germany, Giga Berlin is quickly taking shape, and Tesla plans to begin production at this facility in 2021. The company also detailed the progress at its first European plant by saying:
“Construction of the Gigafactory in Berlin continues to progress rapidly. Buildings are under construction, and equipment move-in will start over the coming weeks. At the same time, the Giga Berlin team continues to grow. Production is expected to start in 2021.”
Finally, Tesla is also working on building another U.S.-based plant in Austin, Texas, which will introduce the Cybertruck and Semi, and also produce the Model 3 and Model Y for East Coast customers.
Tesla reported its fifth-consecutive profitable quarter, announcing revenue of $8.771 billion for the quarter, and non-GAAP earnings per share of $0.76. Additionally, Tesla posted $809M GAAP operating income, resulting in a 9.2% operating margin. The company also ended the third quarter with $331M GAAP net income and $874M non-GAAP net income (ex-SBC).
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”
