The mainstream media’s trashing of Elon Musk is not journalism at all. In fact, I think it’s highly disturbing that news websites are so obsessed with Elon Musk. They’ve gone from using his name to make money off of clicks to making up stuff about him or twisting his words for clicks.
Remember that Wall Street Journal article from this weekend? The one that accused Elon Musk of having an affair with Sergey Brin’s wife and claimed that Elon and Sergey were no longer friends. This is one example.
The WSJ’s decision to stand by its already refuted article shows that journalistic ethics have been sold for clicks. It’s a sad day for journalism.
Moreover, I talked to Sergey yesterday and he says neither he nor anyone he knows has talked to WSJ
— Elon Musk (@elonmusk) July 27, 2022
Not only did Elon Musk publicly deny the story, but so did Nichole Shanahan’s lawyer. In a statement to The Daily Mail, the attorney said that not only was the WSJ’s report false, but it was also defamatory.
“Make no mistake, any suggestion that Nicole had an affair with Elon Musk is not only an outright lie but also defamatory.”
Additionally, Elon Musk shared a photo of himself and the Google co-founder with the New York Post and said, that he’d spoken with both parties who were adamant that they were not the source behind the WSJ’s claims.
Why is the mainstream media’s trashing of Elon Musk intensifying?
Why does the mainstream media hate Elon Musk so much? This is a question I asked on Twitter. It was rhetorical because many in the Tesla community, including myself, suspect a few reasons.
Tesla’s refusal to buy advertising, Elon’s continuous standing up for himself against trolls, and of course, the clicks.
One thing I’ve noticed is that this hatred of Elon is intensifying. And the WSJ’s refusal to retract its allegations reflects its dismissal of journalistic ethics. According to a spokesperson from the outlet, “We are confident in our sourcing, and we stand by our reporting.”
That WSJ article doesn’t line up with the SPJ Code of Ethics.
The Society of Professional Journalists has its own Code of Ethics and in my opinion, that hit piece on Elon Musk definitely does not line up with that code.
These sources were not identified clearly and yet the WSJ is banking its reputation on these sources despite not even interviewing any of the parties involved. Another note from the SPJ Code of Ethics is to consider the motives of the sources before promising anonymity.
In fact, journalists should reserve anonymity for sources who may face danger, retribution, or other harm. And they need to have information that can’t be obtained elsewhere.
If the story were true, where’s the evidence?
If the story of Elon Musk kneeling in front of Sergey Brin at a party were true, why are there no videos or photos? Surely it would be easy to pull out your phone, snap a pic and post it to Twitter. Everyone wants photos of Elon Musk.
If we can see Elon vacationing with his friends in Greece, then surely the WSJ would want to see evidence of Elon doing what they said he did. How come we don’t have any evidence?
Ethics traded for the trashing of Elon Musk
The SPJ Code of Ethics also says that journalists should balance the public’s need for information against potential harm or discomfort. “Pursuit of the news is not a license for arrogance or undue intrusiveness.”
The code also calls for journalists to show compassion for those who may be affected by the news coverage. Where is the compassion for Elon Musk, Sergey Brin, and Nichole Shanahan?
You can access the full code of ethics here.
If you have a tip, feel free to send them to johnna@teslarati.com
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.