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The Model Y and Gigafactory 3 heralds a faster, more profitable Tesla
Tesla’s second-quarter report and its succeeding earnings call provided updates on what could very well be two of the electric car maker’s most pertinent projects to date: the Model Y ramp and Gigafactory 3 in Shanghai, China. Based on Tesla’s recent reports, it appears that both initiatives are moving along at an impressive pace, perhaps even faster than initially expected.
Model Y
When Elon Musk unveiled the Model Y last March, he provided a rough timeline for the upcoming vehicle. During his presentation, Musk mentioned that the all-electric midsize SUV would start deliveries starting Fall 2020 for the Long Range, Dual Motor AWD, and Performance versions, and Spring 2021 for the Standard variant. This was quite conservative, considering that Musk has a reputation for setting extremely aggressive targets for the production of the company’s vehicles.
Since then, several reports have emerged which hinted at Model Y production being far less volatile and challenging than the Model 3’s manufacturing ramp, a task so difficult that Elon Musk candidly called the period as “production hell.” In the Q2 Update Letter, Tesla confirmed that preparations for Model Y production have begun in the Fremont factory. The company also mentioned that due to the overlap in the components of the Model Y and the Model 3, the company was able to “leverage existing manufacturing designs in the development of the Model Y production facilities.” This bodes well for the midsize SUV, considering that Tesla had rolled out several improvements to Model 3 production process over the years.
Several other hints have also emerged suggesting that Tesla will be ramping the Model Y with its best technologies available. Recent patent applications, for example, have revealed that Tesla is working on a new wiring architecture that will reduce the wires used in the Model Y to just 100 m per vehicle, a significant reduction from the 1.5 km currently being used for the Model 3. Another patent has also emerged showing the design for a mammoth casting machine, which was hinted at by Elon Musk during an appearance at the Ride the Lightning podcast last month. “When we get the big casting machine, it’ll go from 70 parts to 1 with a significant reduction in capital expenditure on all the robots to put those parts together,” Musk said.
Considering all the innovation that is being implemented for the Model Y, it appears that Tesla is doing all it can to ensure that the vehicle does not encounter delays with its rollout. In fact, with Fremont already being prepared for the Model Y, and with giant casting machines being designed specifically for the vehicle, it almost seems like Tesla is trying to start the manufacturing of the SUV earlier than expected. There’s a long time between today and Fall 2020, and that seems to be more than enough to work out the manufacturing of a vehicle that is, in essence, a taller, more spacious Model 3.
Gigafactory 3
Over in China, another understated Tesla project is taking shape. When Elon Musk attended Gigafactory 3’s groundbreaking ceremony back in January, he stated that initial production of the Model 3 in the facility would begin by the end of the year. This target timeframe was met with disdain and skepticism from critics, many of whom have noted that no car factory has ever been built in the speed that Musk wanted. Six months later, Gigafactory 3’s general assembly building is practically complete, and its interior is already being tooled. Footage from drone flyovers showed the rise of the factory, and images from Tesla’s Q2 Update Letter showed that some sections of the facility already have robots installed in them.
Quite interestingly, it is not Elon Musk that is providing ambitious timeframes for Gigafactory 3 anymore. Instead, it is Chinese government officials. Local reports, for example, have suggested that China is looking to start initial Model 3 production as early as September, with the facility ramping to an output of 150,000 vehicles per year early next year. Compared to Wall Street’s estimates, which currently suggest that Gigafactory 3 will produce around 35,000 to 40,000 vehicles in 2020, China’s goals for the facility are far more optimistic.
Gigafactory 3 has pretty much exceeded expectations since work in the facility entered overdrive. Just like the Model Y ramp, the key to Gigafactory 3 lies in the company’s innovations with Model 3 production. Tesla mentioned this in its Q2 Update Letter. “Gigafactory Shanghai continues to take shape, and in Q2 we started to move machinery into the facility for the first phase of production there. This will be a simplified, more cost-effective version of our Model 3 line with capacity of 150,000 units per year – the second generation of the Model 3 production process,” Tesla wrote.
There is no doubt that 2019 is turning out to be an incredibly challenging year for Tesla. Following the first quarter, which saw lower-than-expected vehicle deliveries, Tesla set new delivery records in the second quarter, only to end once more at a loss. Yet, together with this, the company also ended the quarter in more stable footing, as shown by its $5 billion in cash, the largest in its history. This was recently addressed by Baird analyst Ben Kallo, who noted that “back to the cash flow they generated during the quarter, there’s a couple of hundred million dollars, so this idea that they don’t make money is completely wrong, and the headline needs to change. There’s $5 billion in the balance sheet. They’re not going out of business.” Ultimately, the Model Y and Gigafactory 3 seem to be two projects that are heralding a new era for Tesla: one that is more mature, precise, and poised to disrupt at a scale that’s never seen before.
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”
