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Tesla coverage turns negative a week before crucial Earnings Call

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Tesla news coverage this week has been especially negative, and the timing of it, which comes a week before arguably the most anticipated Earnings Call in recent memory. With Tesla reporting production and deliveries that were well over Wall Street’s consensus, anticipation for the Q1 2021 Earnings Call is slightly higher than usual, and the FUD (Fear, Uncertainty, Doubt) is at an all-time high.

There are always a few negative Tesla stories every week. It might involve a story about some owners who didn’t receive adequate customer service, it might be about a production bottleneck that Tesla is encountering. However, these are relatively micro-scale issues that are resolved within a matter of days in most cases. This week, the news has been geared toward more disruptive, long-term, macro-level issues, like a very public car accident that has both sides of the Tesla circle butting heads, a test from a very well-known product review company that has to do with the aforementioned accident, and other safety issues that have resulted by a rumored irresponsible driving speed by a customer in China. Whether you agree with it or not, there seems to be a more coordinated attack on something that Tesla does well, which is to keep its drivers and owners safe. One of the strongest points of Tesla’s overwhelmingly successful venture into the automotive industry thus far was the company’s ability to keep vehicle occupants safe in the event of a crash, and also roll out software and semi-autonomous driving functionalities that aim to improve consumer safety in revolutionary ways.


This is a preview of our weekly newsletter. Each week I go ‘Beyond the News’ and handcraft a special edition that includes my thoughts on the biggest stories, why it matters, and how it could impact the future. 


This doesn’t always turn out to be what the media wants to report, however. The week before the Q1 Earnings Call, it was relatively impossible to notice that the tide turned negative on Tesla news coverage. While it is understandable that a violent automobile crash that took the lives of two men should be covered, it captured national headlines and dominated news coverage across the world for several days. Interestingly, I don’t remember such widespread news coverage for the Ford Death Wobble.

Journalists find stories and then build upon them for other sorts of coverage. It’s spin-off coverage where readers get to see how creative the mind of a writer is. There are millions of stories that could be written based on the recent automobile accident. However, a majority of them were negative, and it doesn’t necessarily come down to truth, it comes down to perception. Unfortunately, I don’t believe that many of the journalistic coverages were completely accurate simply because of Autopilot’s misunderstood capabilities in the real world. I still receive questions and comments daily from those who I talk to who believe Teslas are capable of driving themselves. What is even more frustrating is that, at times, owners and drivers, who should have the company’s best interest at heart, spread content, Tik Toks, and other forms of social media portraying that their all-electric car can drive them from Point A to Point B while they sit in the back seat and take a nap. This kind of content is irresponsible, immoral, and wrong. Acting like a Tesla can drive itself completely just for few thousand views is a selfish act that puts the hard work of Tesla engineers at risk for losing all of their work.

That brings me to the unfortunate accident in Texas. We don’t know, yet, what the exact cause of the accident was. We don’t know who was in the driver’s seat, if AP was being tricked, or if it was even on at this point. Most evidence would likely indicate that AP couldn’t have been activated due to the lack of road lines, and the rate of travel isn’t something that AP would let the driver do, to begin with. Eventually, we will have all the facts of this story, and we will be able to accurately say who or what was responsible. But as of right now, those things cannot be speculated against.

Still, news sources are claiming that this car was “driverless,” which is a complete nonsensical narrative considering there are many boundaries that would require a driver to be present during the vehicle’s operation. This didn’t stop Consumer Reports from putting together one of the most ridiculously biased tests I have ever come across. I felt that it simply proved Tesla Autopilot would only be tricked in extreme circumstances, by not following the automaker’s directions and trying to outsmart one of the most capable semi-autonomous driving programs in the world.

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The obvious effort to derail Tesla’s momentum is being noted by the fans, followers, and owners of the company. For the life of me, I cannot understand why. In my perspective, for years, MSM has been driving home the point of global climate change, using it as a way to scare people into change. While I believe that fear isn’t always the best way to convince a large group of people to do something, I think climate change is a real issue and it will affect people for generations to come. With cars being such a large contributor to the problem, you’d think the media, the same interests that have been preaching the dangers of carbon emissions for years, would report car companies who are working to transition the automotive industry to electrification, would get a “fair shake.” This just hasn’t been the case.

Trust me, I am a critic of Tesla when it is warranted. I have experienced issues with their customer service department personally, and I have been highly critical of their handling of other issues with its vehicles. I have spoken many times about the LR RWD Model Y and how it was a disgrace for Tesla to keep these pre-orderers in limbo for years. However, there are statistics that prove FSD and AP’s ultimate task: to make driving safer. Most recently, the Q1 2021 Safety Report showed Autopilot was nearly 10 times safer than a human driver. You don’t see mainstream media covering this, but you’ll notice automotive blogs and news outlets taking full advantage of the statistics, which prove Tesla’s mission is becoming more real with every mile driven.

With the momentum Tesla posted with the Production and Deliveries report, I think many people were expecting a big financial quarter. The timing of the negative news is eye-opening, and it seems to be a coordinated effort to perhaps slow down Tesla’s momentum moving forward. Tesla is gunning for yet another consecutive quarter, bringing the total to seven straight if things go well on Monday. Whether Wall Street will recognize the impressive tone of this feat, we’ll see. However, media coverage has done all it can to bring Tesla’s chances of a great quarter down, but with developments, demand, and deliveries all in healthy figures, there doesn’t seem to be much of a chance of that happening.

A big thanks to our long-time supporters and new subscribers! Thank you.

I use this newsletter to share my thoughts on what is going on in the Tesla world. If you want to talk to me directly, you can email me or reach me on Twitter. I don’t bite, be sure to reach out!

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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.

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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.

Elon Musk shares details on X vs. Brazil conflict

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 Cybercab launch preparations have begun

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Credit: TechOperator | X

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:

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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 says he ‘hopes AI is nice to us’

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elon musk
Credit: Ministério Das Comunicações [CC BY:2.0]

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.”

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.

Elon Musk breaks silence on OpenAI trial decision

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.

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