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SpaceX destacks “420” Starship, Super Heavy pair for the third time

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Update: Shortly before SpaceX CEO Elon Musk revealed that Super Heavy booster B4 and Starship S20 are no longer assigned to the rocket’s orbital launch debut, the company ‘destacked’ the pair for the third time.

Ship 20 was removed from Booster 4 on March 19th, two days before Musk’s tweets. That’s not unusual: it was actually Ship 20’s third removal from Super Heavy. However, almost as soon as the Starship was rolled out of the way, SpaceX began making visible preparations to also remove Super Heavy B4 from Starbase’s orbital launch mount. As of March 24th, the booster has been attached to a large crane for more than a day and a newly upgraded transport stand has been rolled into place beside the launch mount. It’s somewhat odd that the booster hasn’t already been removed but that step could happen at almost any moment, now – albeit likely in daylight.

Once both Ship 20 and Booster 4 have been removed, it’s hard to imagine that they will ever return to the orbital launch mount. In fact, at minimum, Super Heavy B4 will probably be retired almost immediately. Super Heavy B7 – a superior, refined, and upgraded prototype by almost every measure – is already almost fully assembled and could likely begin basic testing within a week or two.

SpaceX CEO Elon Musk says that Super Heavy Booster B4 and Starship S20 are no longer scheduled to support the first orbital-class test flight of the world’s largest rocket.

Rumors, signs, and reports of the significant change have been flowing among unofficial spaceflight communities for months. Booster 4 and Ship 20 were first confirmed by Elon Musk to be the pair assigned to Starship’s orbital test flight (OTF) in the summer of 2021. When the pair first rolled out to the launch pad in early August, Musk seemed confident that they could be ready for an orbital launch attempt within a month or two. The same was true in November 2021, when Musk stated that the same Starship and Super Heavy pair could be ready for their first launch as early as January or February 2022.

Musk’s latest update on Starship’s orbital test flight continues that schedule optimism but also introduces several major changes – changes that could easily take several months to fully work through.

Crucially, Musk revealed that the first Starship to attempt an orbital-class launch will now feature upgraded Raptor V2 engines – engines that require an entirely new thrust structure design. That already all but guaranteed that B4 and S20 had been overtaken but Musk also explicitly confirmed that they would be replaced with a new pair in a later tweet.

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That new pair – widely assumed to be Super Heavy B7 and Starship S24 – feature a wide range of design changes, including substantially modified header tanks, an entirely new nosecone design, new layouts for secondary systems (pressurization, avionics, heat exchangers, etc.), and more. Most importantly, their thrust structures – giant ‘pucks’ machined out of steel – have been tweaked to support new Raptor V2 engines instead of the Raptor V1 and V1.5 engines that have been installed and tested on all Starship and Super Heavy prototypes to date.

Musk believes that SpaceX will be able to build (and presumably qualify) all 39 of the Raptors Ship 24 and Booster 7 will need before the end of April and fully install them – as well as all the heat shield components that must be fitted around them – by the end of May 2022. It’s unclear if the SpaceX CEO is accounting for the extensive proof testing Ship 24 and Booster 7 will likely need to complete before being qualified for flight, including cryogenic proof tests, wet dress rehearsals, and at least a few static fire tests.

In fact, SpaceX has only performed a single three-engine static fire test with a fully outdated Super Heavy prototype. Before the company is confident in its booster design, it’s practically a certainty that one or more prototypes will be put through a lengthy test campaign that gradually evolves from igniting a few engines to igniting all 29 or 33 Raptors. That may actually be one of the reasons SpaceX appears to be retiring Booster 4 without a single static fire or flight test – performing all the requisite work may have ultimately been perceived as a dead-end when every future Starship and Super Heavy prototype will feature a heavily redesigned engine.

This is to say that much like Musk’s last few Starship OTF schedule estimates, May 2022 also appears to be extremely optimistic. Booster 7 could potentially be ready for cryogenic proof testing any day now but Ship 24 is still in five large pieces and probably at least a month from any form of test readiness. Still, there are some reasons for optimism. If Booster 7 actually does start basic proof testing this month or early next without waiting for its Raptor engines or for heat shield installation, SpaceX could theoretically complete cryoproofing, begin installing one or a few new Raptors at a time, and iteratively progress from static firing a few to all 33 engines as the engines are arriving at Starbase.

At a minimum, even if that razor-sharp test schedule isn’t possible, Booster 7 would at least have a month or so of extra testing over Ship 24, minimizing the disproportionate amount of testing each prototype will likely need to be qualified for flight. Unlike Booster 4, Ship 20 has completed several static fires and cryoproofs without any apparent issue.

For now, SpaceX continues to prepare Ship 24 sections for stacking and appears to be buttoning up Booster 7, which could easily be ready to roll out for basic testing within a few weeks – and maybe sooner.

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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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