No, Elon Musk did not “launch new attack” on General Motors (GM) or President Biden yesterday, as The Street recently reported. I thought I would clear this up here since it was my own tweet and Elon Musk’s response to my tweet might have somehow gotten misinterpreted.
According to the article, “Tesla’s CEO is resentful and never misses an opportunity to attack Detroit auto giant GM.”
The article also said that Elon Musk doesn’t want to promote the brands of his rivals and that GM is his favorite target. It, in my opinion, painted GM as the victim and Elon Musk as a bully. So I’d like to clear up some things and share what actually happened.
Elon Musk Didn’t “Launch New Attack” On Anyone
Yesterday, I shared a tweet by Sawyer Merrit with my own comment. I tagged both President Biden and Elon Musk. You can see the tweet below. This was and still is my opinion on GM’s decision to invest $1 billion into Mexico for an EV factory instead of investing those funds into American jobs.
Teslas are the most made-in-USA vehicles
— Elon Musk (@elonmusk) July 19, 2022
As you can see for yourself, Elon Musk did not mention GM or President Biden. He mentioned Tesla and his reference was to Tesla being named the most American-made car by Cars.com.
GM’s Commitment To Mexico
I shared my thoughts about GM’s move to invest $1 billion in Mexico for an EV plant in this article. And there’s more. GM shared a statement on its Mexico media site where the company’s President and CEO, Francisco Garza said (translated by Google into English):
“We are very proud to contribute to the materialization of GM’s Vision of Zero Collisions, Zero Emissions, Zero Congestion, contributing to the manufacture of electric vehicles.”
“We trust that the necessary economic conditions will be met so that eventually the Complex can increase the workforce for one more shift in some operations. We are grateful to the Federal Government and the Government of Coahuila for promoting this investment. This is great news to continue celebrating GM’s more than 85 years in Mexico and show our commitment to the country.”
American Jobs Vs Mexican Jobs
It seems that my theory in the tweet that Elon Musk responded to could be correct. I saw this earlier this morning.:
Salaries at the GM plant in Mexico where the Chevy Blazer EV will be made start at just $4,492 a year. $GM pic.twitter.com/G9ZSWy3WGv
— Whole Mars Catalog (@WholeMarsBlog) July 20, 2022
@WholeMarsBlog shared screenshots of the salaries at the GM plant in Mexico where the new Chevy Blazer EV will be made. The starting pay for Operations is MX$91,950 per year which translates to $4,475.78 per year. There are other salaries with similarly low numbers.
In comparison, GlassDoor shows that technician salaries at GM average out at $63,166 annually. So, it seems that GM will be saving some serious money by outsourcing some of these jobs to Mexico.
My 2.5¢
Clearly, GM is trying to save money. And GM CEO, Mary Barra, recently expressed her confidence that GM can beat Tesla. You can draw your own conclusions from these two scenarios.
I do think that using Elon Musk to paint GM as a victim while downplaying its decision to make its Chevy Blazer EV in Mexico instead of the U.S. is really shady. And using my own tweet to do so as well. No, Elon Musk didn’t “launch new attack” on President Biden or GM. No one attacked them.
I just shared my own opinion on the matter and he pointed out which brand was the most American-made car.
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”
