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Tesla’s use of AI Day for recruitment piqued interest from engineers, Musk says
Tesla’s use of specific events for recruiting purposes was welcomed in by the company’s recently held AI Day, which took place in mid-September. Looking to expand its team of software engineers and AI experts, Tesla showed the most intimate details regarding its AI platform, impressive examples of its Full Self-Driving suite, and even unveiled the Tesla Bot. The idea worked, CEO Elon Musk revealed during the 2021 Annual Shareholder’s Meeting, which was held last night.
AI Day was perhaps Tesla’s most in-depth look into its semi-autonomous driving programs, its plan for a next-level Supercomputer and chip, and a surprising look at the company’s plans to begin building robot prototypes. Ultimately, for anyone who was in attendance or listening to the event, it was obvious it wasn’t geared toward informing the normal Tesla fan or enthusiast about its FSD progress. The language and technical nature of the event pointed toward one thing: Tesla needed new, young, and bright talent for their development of AI, and this was the perfect outlet for it.
Still, it is only a good idea if it works. But let’s be real, in 2021, what hotshot out of college would not want to work at Tesla? With all of the great technology that the company has released in the past few years, combined with the undoubted position of authority that Tesla holds in the EV space, most college students or engineering prodigies would most likely be willing to submit an application to Tesla, and Elon Musk stated that the event was overwhelmingly successful in bringing Tesla the talent that it sought after.
“And then AI Day, I think it was important to change the fundamental perception of Tesla because people do…they sort of think of Tesla as a car company, and yes, we made cars, but the AI part of Tesla was not well understood,” Musk said at the Shareholder meeting. “Tesla is as much a software company as it is a hardware company. And we also do the chips. So we designed the full self-driving inference computer. We’re designing a training computer that’s going to be able to, we think, be the most efficient neural net training computer in the world by far.”
It is a common misperception among most people to think that Tesla is exclusively an automotive manufacturer. However, the company deals with much more outside the realm of vehicles. Along with sustainable energy storage and production through its Tesla Energy side, it also develops software, chips, and other crucial parts of a car’s “brain,” if you can see it in that light. This is all a result of the hard work and dedication Tesla’s engineers have put forth. Musk indicates that more highly qualified candidates are on the way.
“We’re seeing a tremendous response, so daily applicants by role…And then after AI Day, that’s the AI applicants increased dramatically. So I thought that was a very successful day. Team did a great job. And yes, it’s going to be a very important part of the future. Self-driving is obviously one of the functions,” Musk added.
Please consider joining Tesla AI software or hardware teams! pic.twitter.com/HgigdtenKN
— Elon Musk (@elonmusk) October 8, 2021
Tesla has landed on Universum’s list of most attractive employers for engineering students on several occasions. Released in November 2020, the most recent list had Tesla and SpaceX ranked first and second, respectively, in the rankings.
Don’t hesitate to contact us with tips! Email us at tips@teslarati.com, or you can email me directly at joey@teslarati.com.9
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”
