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[Update: not so fast…] SpaceX retires brand new Starship to focus on orbital launch buildup
SpaceX has moved its newest finished Starship straight from its Boca Chica, Texas factory to a nearby ‘rocket garden,’ all but guaranteeing an early retirement.
Built as the first of several planned backups to Starship SN15, which debuted a number of significant upgrades in April and May, it appears that Starship serial number 16 (SN16) has been retired to a display stand after its only sibling became the first full-size prototype to successfully survive a launch and landing on May 5th. SN16 actually reached its full height before SN15 lifted off and was more or less complete by May 10th. Since then, the prototype has remaining more or less untouched, seemingly waiting for SpaceX to decide its fate in lieu of Starship SN15’s major success.
Ultimately, with SN16 now sitting side by side with SN15 at what will likely become a sort of open-air SpaceX museum, it appears that the company has made up its mind.
Once SN15 touched down, safed itself, and remained standing after a near-flawless 10 km (6.2 mi) test flight, questions about Starship SN16’s fate almost immediately arose. From the outside looking in, replicating that spectacular success was judged a logical next step by many in light of the four variously unsuccessful Starship launches that closely preceded it. If SpaceX could land SN15 and then successfully recover an entirely separate Starship weeks later, it would all but eliminate the possibility that – much like several different failure modes popped up on SN8 through SN11 – the first total success was a fluke.
Given that SN16 was quite literally completed within days of SN15’s launch and landing, it seemed an almost foregone conclusion that SN16 would fly. For a few weeks, it even looked possible that SpaceX would attempt to reuse Starship SN15. However, SpaceX appeared to decide against reuse and rolled its first flight-proven full-size Starship from the pad to a plot of land expected to host a future ‘garden’ for retired SpaceX rockets.
After its three intact flight-proven Raptor engines – valuable in their own right – were removed, Starship SN15 was seemingly retired around May 26th. Three weeks later, SN16 has (quite literally, to an extent) followed in SN15’s footsteps, bowing to an apparently virulent desire within (or at least atop) SpaceX to launch Starship into space and orbit as quickly as possible. From that perspective, assuming enough data was gathered by Starship SN15 to encourage significant confidence that its survival wasn’t an ‘accidental success,’ reusing Starship SN15 or flying Starship SN16 would only really benefit a line of prototypes that had just made itself obsolete.
Much like Starship SN15 debuted “hundreds of improvements” across the board, CEO Elon Musk revealed that Starship SN20 would also involve a “major technology [revision]” to produce the first prototypes with full heat shields, a stage separation mechanism, vacuum-optimized Raptor engines, and more. In fact, that process may still be ongoing, which could explain why SpaceX has yet to begin assembling Starship SN20 – various subsections and components of which have already been completed in Boca Chica.
Confirmed by Musk in March, SpaceX has been working towards a target of no later than July 2021 for Starship’s first orbital test flight. Given that Starship SN20 has yet to enter the assembly phase and that Super Heavy “Booster 2” (BN3) will be the first of its kind and likely need to pass several major tests on its own, July is no longer within reach. Of course, an orbital launch attempt anytime in 2021 would still be a staggering achievement for SpaceX, beating the likes of Vulcan Centaur, New Glenn, and Ariane 6 to the punch despite Starship’s superior performance, unprecedented design challenges, and grander ambitions.
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.
