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Mercedes-Benz DRIVE PILOT gains first U.S. approval for Level 3 system

Credit: Mercedes-Benz

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Mercedes-Benz has officially received certification to operate its SAE Level 3 autonomous driving system, DRIVE PILOT, in Nevada, making it the first brand to do so in the United States.

Mercedes first launched its DRIVE PILOT system at the end of 2021. Then they began shipping vehicles with the capability to customers in Germany in mid-2022, becoming the first automaker in the country to pass through the government’s stringent autonomous driving certification process.

Now, the brand has become the first to receive certification in the United States.

The DRIVE PILOT system is officially certified to operate on “suitable freeway sections” in Nevada in high-traffic density situations. It can operate at speeds up to 40 MPH. The company first revealed its paperwork had been filed with Nevada and California earlier this year, with California expected to grant certification later this year. Currently, DRIVE PILOT is available on the Mercedes EQS Sedan and Mercedes S-Class sedans, with vehicles being delivered with the system beginning in the second half of this year.

Mercedes-Benz was granted this approval as DRIVE PILOT meets the requirements of Nevada Chapter 482A for Autonomous Vehicles. As Mercedes states, some functions and applications will be available that would otherwise be blocked while driving. These activities are legally permissible depending on laws that apply where DRIVE PILOT is being used.

Best outlined by Mercedes Board Member Markus Schäfer, this is just the beginning of a larger rollout of the software:

“DRIVE PILOT demonstrates once more that our pioneering spirit is part of our DNA. Certification in Nevada marks the start of its international rollout and, with it, the dawning of a new era.”

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To achieve this certification, among other regulations, Mercedes showed that its set of redundant driving systems could keep drivers safe while controlling the vehicle. A combination of steering, braking actuators, and onboard electrical system redundancy measures keep the vehicle maneuverable, even if a system fails.

Additionally, the vehicles will rely on a combination of LiDAR, radar, and cameras that allow the car to monitor where it is relative to other vehicles constantly down to the centimeter. Mercedes combines these systems with high-precision GPS mapping, ensuring the most consistent experience possible.

DRIVE PILOT will also take matters into its own hands if drivers fail to take back control, even after “increasingly urgent” audible and visual alerts. Mercedes said that it would brake the vehicle to a standstill in a controlled manner, then will activate hazard lights. Doors will be unlocked, and Mercedes’ emergency call system will contact first responders. This is an increasingly needed feature in case of a major medical emergency.

While the Mercedes technology has often been drawn as a parallel to Tesla’s Full Self-Driving offering, through this most recent certification, Mercedes now differentiates itself in two ways. Foremost, in a crash with another vehicle, while DRIVE PILOT is engaged, Mercedes accepts legal liability for the accident. Furthermore, this certification has shown relevant authorities that it can operate safely, a process that Tesla will likely need to follow through in the near future.

Mercedes’ announcement also follows a series of other major milestones for the company. The German luxury automaker recently revealed that it would be opening its own series of EV chargers, starting in North America and working globally. Mercedes has also recently highlighted (in granular detail) its incredible production shift to EVs occurring worldwide and utilizing each of its current manufacturing plants.

While there is no doubt many still see Mercedes as a non-threat to Tesla’s Full Self-Driving suite, today’s announcement proves otherwise. Hopefully, through this continued competition, autonomy can improve overall and become available to most people as a safe alternative to regular vehicle operation.

Alongside DRIVE PILOT, Mercedes also announced that its Level 2 driver assistance system would make its North American debut later this year, which features ADAS features like autonomous lane merging, speed controls, and perhaps most importantly, emergency braking.

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What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

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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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