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SpaceX CEO Elon Musk's latest Starship photos reveal surprise landing legs [confirmed]
Update: In a Twitter response to Teslarati’s report, Musk confirmed that SpaceX has already installed six telescoping landing legs on the Starship SN3 prototype.
CEO Elon Musk published new photos of a Starship prototype shortly after it was moved to SpaceX’s South Texas launch pad, revealing the surprise inclusion of already-installed landing legs and hinting at the growing maturity of the rocket’s design.
Published on March 30th and likely taken late on March 29th, Musk’s latest Starship photos offer the best look yet at the massive vehicle’s engine section, where Raptor engines may soon be installed for historic static fire and hop test attempts. First captured in photos taken by local photographer and resident Mary (bocachicagal) on March 28th, speculation about what appeared to be six odd legs immediately kicked off on spaceflight forums. Due to limited publicly-available perspectives and the appendages’ locations inside Starship’s cavernous engine section, there was some limited ambiguity as to whether the steel pieces were truly legs or something closer to general structural support.
Thankfully, Musk’s new photos all but confirmed the former theory, revealing a sextet of hinged legs with a curious stubby appearance and what appears to be a rather simple and elegant design. Most importantly, the unexpected presence of landing legs – while likely cheap to implement – suggests that SpaceX is growing increasingly confident in each subsequent Starship prototype, an encouraging sign for imminent static fire and hop test plans.

In fact, SpaceX filed a Notice to Airmen (NOTAM) with the Federal Aviation Administration (FAA) on March 30th — the biggest confirmation yet that the company is seriously working to prepare Starship SN3 for a Raptor engine static fire test as early as April 1st. Backup dates on the 2nd, 3rd, and 4th are included, leaving a decent amount of breathing room for SpaceX’s Texas team to (hopefully) successfully complete the rocket’s proof test in the next few days.
Possibly preceded by a water pressure test to check for leaks and verify general structural integrity, Starship SN3’s proof test will see the rocket’s methane and oxygen tanks fully filled with cryogenic liquid nitrogen. The tank pressure would then be increased to around 6-8 bar (90-115 psi) to ensure that Starship can handle the thermal and pressure stresses it will experience during launches. Given SpaceX’s recent history, including a partially unintentional Starship Mk1 tank failure in November 2019, the intentional destruction of two Starship test tanks in January 2020, and Starship SN1’s unintentional February 2020 failure, success is still far from guaranteed for Starship SN3.


Nevertheless, SpaceX seems more confident in Starship SN3 than it was in Starships Mk1 and SN1 – the only other full-scale prototypes to have reached the testing phase. It’s possible that including leg prototypes were cheap and easy enough to be worth installing regardless of SpaceX’s broader confidence in Starship SN3 as a whole. However, it would still be a clear waste of time and resources to install all six landing legs if the internal consensus was to expect a failure in the early phases of SN3 testing.
SpaceX, in other words, seems to believe that Starship SN3 will pass its imminent tank proof test without any major issues. Additionally, the company must be confident in the outcome of the Starship SN3 Raptor static fire(s) expected to immediately follow any successful proof test. SpaceX has successfully demonstrated Raptor several times on flight hardware with the help of the Starhopper development vehicle, but a full-scale Starship is arguably a different animal.

Regardless, it’s now clearer than ever that SpaceX is confident enough to put a few eggs in the Starship SN3 basket. With landing legs installed, the massive rocket prototype could be ready for a Starhopper-style 150m (500 ft) hop test just a week or so from now. For now, though, Starship SN3 needs to pass a tank proof test, perform a wet dress rehearsal (WDR) with real propellant, and complete one or several Raptor static fires before a flight test will be in its cards. Stay tuned!
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.
