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SpaceX returns Starship booster to factory after two major Raptor tests
For the sixth time this year, SpaceX has returned the same Super Heavy booster prototype to its South Texas Starship factory after completing several tests.
Why is unclear. Super Heavy Booster 7 left the factory for the first time in March 2022 and has been stuck in a seemingly continuous state of testing, rework, and retesting ever since. While the pace of testing and progress was in many ways more aggressive from 2019 to mid-2021, it still can’t be said that SpaceX has been slacking off in 2022. Booster 7 alone completed more than 24 distinct tests (including six static fires) between early April and late November.
But in a shift from the first three or so years of steel Starship development, SpaceX CEO Elon Musk has ceased to be a consistent source of information on the purpose and results of many of those tests, even as NASA has begun to funnel hundreds of millions of taxpayer dollars into the Starship program. Save for occasional tidbits from SpaceX, Musk, and NASA; or deep unofficial analyses of public information, the day-to-day or week-to-week status of Starship has generally been relegated to speculation. Over the last few months, that information void has only grown larger.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Perhaps the biggest near-term update this year came from a senior NASA official on October 31st. In an advisory briefing, Mark Kirasich – Deputy Associate Administrator for Artemis Campaign Development – offered a surprising amount of detail about SpaceX’s near-term plans and even reported that Starship’s first orbital test flight was expected as early as December 2022, pending several crucial tests. But more than five weeks later, SpaceX appears to have only made a modest amount of progress towards those milestones and has yet to attempt the two most important tests.
Kirasich: First orbital Starship/Super Heavy expected in December. Still waiting for full 33 engine test, wet dress rehearsel, and FAA licensing. Will land in ocean off Hawaii. pic.twitter.com/FktCggnPEe— Marcia Smith (@SpcPlcyOnline) October 31, 2022
Nonetheless, some progress – however indeterminate without official information – has been made. As of Kirasich’s briefing, SpaceX was in the middle of a relatively minor series of cautious propellant loading tests with Booster 7 and Ship 24, which were stacked on October 20th. After three more partial full-stack tests in the first seven days of November, Ship 24 was removed. Aside from the visible steps SpaceX took after, little is known about the outcome of those propellant loading tests.
Ship 24’s fate is a different story, but Super Heavy B7 appeared to make it through full-stack testing in great shape. On November 14th, Booster 7 completed a record-breaking 14-engine static fire, doubling its previous record of seven engines and likely becoming one of the most powerful rockets in history. Musk simply stated that the “test went well”.
Poor weather undoubtedly contributed, but it would be another 15 days before Booster 7’s next test. On November 29th, after an aborted test on the 28th, SpaceX followed Booster 7’s record-breaking 14-engine static fire with a longer 13-second test of 11 Raptors. Before engine ignition, SpaceX loaded Booster 7 with around 2800 tons (~6.2M lb) of liquid oxygen (LOx) propellant in less than 90 minutes, making it a partial wet dress rehearsal (the methane tank was barely filled) as well. Musk called it “a little more progress towards Mars” and SpaceX shared a photo of the static fire on Twitter, but the results of the test – meant “to test autogenous pressurization” – were kept mostly opaque.
That uncertainty didn’t help when two of Booster 7’s 33 Raptor engines were removed immediately after the long-duration test. Then, Booster 7 was removed from Starbase’s lone ‘orbital launch mount’ on December 2nd and rolled back to the factory’s High Bay assembly facility on December 3rd. Historically, SpaceX has only returned Booster 7 to the factory to repair damage or install missing hardware. Without official information, it’s impossible to say why Booster 7 returned for the sixth time.
The most optimistic explanation is that SpaceX brought the Super Heavy booster back to the factory to fully close out its engine section heat shield, which currently has 20 missing panels for each of its outer Raptor engines. But there’s a good reason that those panels were never reinstalled. Any replacements would need to be modified to ensure that the ad-hoc system installed to prevent the conditions that led to Booster 7’s first explosion from recurring can still be used for future static fire tests. Even then, it’s unclear why SpaceX would need to reinstall those panels now for Booster 7’s upcoming 33-engine static fire(s) and full-stack wet dress rehearsal(s) when they weren’t needed for 11 and 14-engine static fires and a dozen other fire-free tests.
Depending on why Booster 7 is back at the factory, there is a precedent for it returning to the launch site as early as next week. Alternatively, if major work or repairs are required, it could be six weeks before SpaceX returns the rocket to the launch pad. Given that the full wet dress rehearsals and one or several 33-engine static fires standing between Booster 7 and flight readiness will be riskier and more challenging than any other test the prototype has completed to date, there is no real chance that Starship will be ready for its first orbital launch this year.
In fact, without detailed information, especially regarding Ship 24’s mysterious state, it’s difficult to pinpoint a viable target for Starship’s orbital launch debut more specific than the first half of 2023. But with any luck, even if it requires a substantially longer wait, SpaceX’s recent decision to make Starbase move slower and break fewer things will hopefully pay off with a successful debut sometime next year.
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.
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.
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.
News
Tesla Cybercab launch preparations have begun
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:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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.
Elon Musk
Elon Musk says he ‘hopes AI is nice to us’
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.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
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.
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.
