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SpaceX’s first high-flying, triple-Raptor Starship is almost finished

What could become SpaceX's first multi-engine, high-flying Starship rocket is likely just a handful of days from being mostly complete. (NASASpaceflight - bocachicagal)

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SpaceX’s first high-flying, triple-engine Starship prototype is rapidly approaching completion at the same time as the company is preparing for the rocket’s predecessor to lift off on its inaugural test flight.

Known as serial number 5 (SN5), it will be the fifth full-scale Starship prototype completed by SpaceX since November 2019 and the fourth since late-January 2020. Following in the footsteps of Mk1, SN1, SN3, and SN4, SpaceX CEO Elon Musk has recently stated that Starship SN5 will be the first prototype to have three Raptor engines and a nosecone installed and could be the first to be outfitted with new and improved aerodynamic control surfaces.

In the meantime, Starship SN4 is perhaps less than 30 hours away from performing a third Raptor static fire test, potentially paving the way for the biggest challenge yet for a full-scale Starship prototype: powered flight. Scheduled no earlier than 9am CDT (14:00 UTC), May 13th, Starship SN4’s next static fire is meant to ensure that a replacement Raptor engine is functioning properly. If successful, the building-sized rocket will effectively be ready to attempt its first launch – also a first for the Starship program overall – pending FAA approval.

SpaceX’s fifth full-scale Starship rocket is likely just a matter of days away from partial completion. (NASASpaceflight – bocachicagal)

As illustrated in the unofficial diagram above, nearly all of the individual sections that will make up Starship SN5 appear to be more or less complete, excluding some ambiguity added by the interchangeable nature of some of the steel rings all Starships are built out of. For the current design and assembly strategy, Starships are comprised of eight separate sections, themselves made up of stacks of 2-4 steel rings. Altogether, excluding the conical nose section, a single Starship requires approximately 20 of those ~1.8m (6 ft) tall steel rings to reach its full height.

(NASASpaceflight – bocachicagal)
(NASASpaceflight – bocachicagal)
A busy May of Starship production in South Texas. (NASASpaceflight – bocachicagal)

Currently, SpaceX has been focused on testing just the tank section of Starship prototypes, representing the vast majority of the technical challenges that must be solved to fully realize the next-generation launch vehicle’s ambitions. Excluding a smaller secondary liquid oxygen tank situated in the tip of Starship nosecones, the nose section is effectively irrelevant – putting the cart before the horse – until Starship tank sections are more of a known quantity.

When that would be the case was entirely up in the air until just the last week or so, when Starship SN4 became the first full-scale prototype to pass a cryogenic proof test, perform a wet dress rehearsal (WDR) with real propellant, complete static fire(s) with a Raptor engine installed, and – finally – pass a more challenging cryogenic pressure test in quick succession. With those milestones passed for the first time ever, SpaceX has effectively proven that it’s solved the what is arguably the most unprecedented aspect of its Starship program: building orbital-class pressure vessels for pennies on the dollar on the South Texas coast.

On May 9th, Starship passed the most significant milestone in the history of the ambitious launch vehicle, reaching the tank pressures needed for orbital spaceflight. (NASASpaceflight – bocachicagal)

Of course, doing it once with Starship SN4 is not the same as fully confirming that SpaceX’s extremely exotic South Texas rocket factory is capable of producing repeatable results with future rockets. While incredibly improbable, Starship SN4’s multiple successes could be a fluke. Additionally, as Musk has noted, the goal is to complete two entire Starships every week once the factory is fully optimized. SpaceX has already achieved a monthly production rate for its current line of prototypes, an extremely encouraging sign for the practicality of Musk’s stretch goal.

In the prototype stage, that speed of production has been incredibly useful, enabling SpaceX to move at a pace of launch vehicle development almost unheard of since NASA’s Apollo Program. At the moment, Starship SN4 has passed all tests thrown at it so far and will soon be attempting the riskiest Starship test yet with its inaugural hop attempt. If the ship were to be destroyed, one would traditionally expect a bare minimum of a few months of program delay. Instead, Starship SN5 could be more or less complete even before SN4 receives FAA permission for its first flight, meaning that a replacement will already be ready to roll to the launch pad if or when SN4 is destroyed.

Aside from Starship SN5, SpaceX is also making great progress preparing Starship SN6’s various subsections. (NASASpaceflight – bocachicagal)

In a best-case scenario, if Starship SN4 continues to pass the tests thrown at it, including one or several hops, SpaceX will instead be entering a new phase indicative of what’s to come: the concurrent testing and operation of a fleet of Starships. A step further, if Starship SN4 succeeds, Starship SN5 appears to be on track to become the first prototype to have a full three Raptor engines and a nosecone installed, as well as the first to attempt a high-altitude (20 km/12 mi) flight test.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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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