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Tesla Roadster, Cybertruck top list of most anticipated EVs in the world

Image used with permission for Teslarati. (Credit: Tom Cross)

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A study from Lease Fetcher, a UK-based vehicle leasing comparison platform, has determined that among the EVs that are yet to be released and those that are already available in the market, Tesla’s cars are among the most desired. After studying the search volume for electric cars across 172 countries, the UK-based firm found that the Tesla Roadster is the most anticipated EV model worldwide. 

The firm’s study found that overall, the Tesla Roadster has been searched a whopping 6,960,000 times in 2022. That’s an average of 580,000 times per month. This is quite impressive because the new Roadster is not even out yet, and it’s been years since its initial unveiling. While the Roadster would likely be a vehicle that is not mass manufactured anywhere close to the volumes of the Model 3 and Model Y, it is nonetheless an EV that captures the imagination. 

Following the Tesla Roadster is the electric vehicle maker’s other upcoming vehicle, the Cybertruck. The study found that the Cybetruck was the second most anticipated electric car model on a global scale, with the vehicle being searched for 6,612,000 times. Just like the next-generation Roadster, the interest surrounding the Cybertruck is impressive, considering the vehicle’s delayed deliveries and production. 

Interestingly, the EVs that followed the Tesla Roadster and the Cybertruck was a rather eclectic mix of electric cars. Behind the Cybertruck, for example, was the Volkswagen ID. Buzz, which saw 4,404,000 global searches; the very-much-still-a-rumor Apple Car, which saw 3,432,000 global searches, and the 2023 GMC Hummer EV, which saw 2,400,000 searches worldwide. 

This does not mean to say that Tesla’s existing lineup is not seeing a lot of interest. As noted by the car leasing company’s study, the Tesla Model 3 sedan is actually still the hottest EV on the internet, seeing an incredible 25,200,000 searches globally. That’s an average of 2,100,000 per month. Following the Model 3 is the Kia EV6, which saw 16,440,000 yearly searches, the Tesla Model Y crossover, which saw 15,600,000 annual searches, the Hyundai Ioniq 5, which saw 13,320,000 searches, and the Porsche Taycan, which saw 12,240,000 global searches. 

The Tesla Model S and Model X are still part of the list of the world’s most desired EVs by global search volume. The Model X, for example, is in sixth place with 10,752,000 global searches. The Model S is right behind the Model X, with 10,032,000 global searches. This suggests that Tesla’s entire electric vehicle catalog — including its more expensive models — is ranked among the world’s most desirable EVs. 

Lease Fetcher summarized its thoughts about Tesla’s results in the following statement. 

“Tesla has such a domineering presence in the electric car industry that it’s no surprise that their models are amongst the most popular current models, and the most anticipated. For many, Tesla is synonymous with electric cars. In terms of models available in 2022, the Tesla Model 3 has been a massive hit with EV buyers – it’s a powerful, environmentally-friendly model with an attractive body. It has been a welcome change for many EV buyers who were not drawn in by some of the quirkier EV designs by other manufacturers,” the firm noted. 

The full study from Lease Fetcher can be viewed here

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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:

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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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.

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.

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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