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Tesla’s Elon Musk tests the waters for a potential Gigafactory in Texas
Elon Musk is pondering on building a Gigafactory in Texas and the CEO wants to find out what the electric car community on Twitter thinks of the possible next big move for the electric carmaker. Musk started a poll late Tuesday night and gave the Twitterverse two options: “Hell yeah” and “Nope.” As of writing, the poll has garnered almost 231,000 votes with around 80% of respondents being in favor of building the new Gigafactory in the Lone Star state.
Giga Texas would be Tesla’s fifth Gigafactory, and while many believe the nomenclature is perfect for the state where everything is bigger, many are wondering why Musk would consider building a factory in a state where the direct sale of its vehicles is not allowed. A bill was even pushed once to prohibit the electric car manufacturer from servicing its vehicles in the state.
Giga Texas?
— Elon Musk (@elonmusk) February 5, 2020
Tesla has Giga Nevada and Giga New York in the United States. The former is focused on producing batteries for the car manufacturer while the latter produces the Solarglass Roof Tiles and Powerwall. There’s also Giga Shanghai in China that already produces the Model 3 for the biggest automotive market in the world. The Silicon Valley-based carmaker is also hoping to lay the first brick by mid-March of its planned EV factory in Europe, Giga Berlin.
During the Q4 2019 earnings call, Musk explained that Tesla needs to make sure it has the batteries to make cars that are already on its lineup. “We got to scale battery production to crazy levels that people cannot even fathom today. That’s the real problem,” the chief executive of Tesla said.
Giga Texas might be the solution to this problem. It can also be the perfect place to ramp the production of the Cybertruck, whose Tri-Motor version is set to hit production by 2021. With Giga Texas, the Fremont factory will not have to handle additional pressure as it already produces the Model S, Model X, Model 3, and the much-awaited Model Y crossover. Ultimately, penetrating Texas is setting foot in the heart of the country’s biggest oil producers and refineries, and that’s quite a statement for Tesla.
We are (obviously) also looking for world-class chip designers to join our team, based in both Palo Alto & Austin
— Elon Musk (@elonmusk) February 2, 2020
It should be noted that Texas has a lively tech scene, particularly in Austin. Tech talents from Silicon Valley have been flocking to this region. The blossoming tech scene in the metro is blossoming enough that people call Austin as “Silicon Hills.”
Earlier this week, Elon Musk announced via Twitter that he will be hosting an AI hackathon party at his house. This time-boxed event is most likely to further accelerate the development of Tesla’s Full Self-Driving capabilities and improvements to its Autopilot feature. It is also a perfect setup to fish for new talents that will join Tesla’s workforce. Interestingly enough, Musk mentioned in his hackathon announcement that the electric car maker was looking for chip designers who can join the team in Palo Alto and Austin.
Even without waiting for the Giga Texas poll to end, the Twitterverse and Elon Musk’s 31 million followers may have already an obvious decision. For sure, everyone is eager to hear additional details about the new Gigafactory Musk is planning to build, as well as the role Giga Texas will play Tesla’s efforts to transition the transportation towards sustainability.
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”
