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.”
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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.
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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.
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If you have a tip, feel free to send them to johnna@teslarati.com
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
