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SpaceX just finished its third Starship rocket in two months and a fourth is on the way
SpaceX just rolled a completed Starship prototype to the launch pad for the third time in two months and began stacking the next rocket just hours after its assembly facilities were vacated.
SpaceX began building the latest Starship prototype – known as serial number 4 (SN4) – around March 23rd. Exactly 31 days later, SpaceX lifted the vast steel rocket onto a Roll Lift transporter and carried it roughly a mile down the road to the company’s Boca Chica, Texas test and launch facilities. In just a few hours, technicians lifted the rocket off its transporter and onto a fixed launch mount made out of thick steel beams, expediency made possible partly by the addition of new mounting points and hold-down clamps.
Sitting atop the late Starship SN3 prototype’s salvaged skirt, landing leg, and service section, the fate of Starship SN4 remains to be seen and the path it has taken to the pad is paved with the remains of several former prototypes. For the most part, that should be a positive aspect. Given how apparent it is that SpaceX is very quickly learning from past mistakes, SN4 has the best chance yet of successfully passing its proof tests and graduating into Raptor static fire and (perhaps) flight testing. However, if things don’t go as planned, SpaceX is perhaps just a week or two away from completing the next prototype – Starship SN5.
A few hours after SpaceX lifted Starship SN4 onto its steel launch mount, CEO Elon Musk revealed an aerial photo of the rocket and its pad facilities taken with a drone. Recently painted gray and refurbished to undo damage done by Starship SN3’s April 3rd, that mount is currently configured with a strong metal frame and three powerful hydraulic rams. A nearly identical jig was damaged during SN3’s last test when a minor tsunamic of liquid nitrogen – used to safely simulate ultra-cold and explosive liquid oxygen and methane propellant – washed over the mount after the rocket burst.
Much like an ice cube can violently crack and pop when it rapidly changes temperature, untreated steel (almost always cheaper than the alternative) can also be catastrophically damaged by rapid temperature changes (thermal shock). This appears to be exactly what happened to the first hydraulic ram mount, which had visible cracks in photos taken after Starship SN3’s April 3rd demise.
SpaceX appears to have had no issue at all acquiring a replacement in a matter of weeks and it arrived and was installed several days ago. The purpose of the hardware is relatively simple: simulate the stresses one or three Raptor engines will create when ignited and ensure Starship’s ‘thrust puck’ and engine section can survive those stresses while filled with cryogenic liquid methane.
Each ram attaches to the thrust puck with the same hardware an actual Raptor uses, including the rods each engine needs for thrust vector control (TVC; i.e. active steering). In the event that Starship SN4 passes its cryogenic proof test(s) and engine stress simulation(s) with flying colors, SpaceX has already built, acceptance-tested, and shipped three Raptor engines to Boca Chica, where they are waiting inside an assembly tent for their call to action.
Once a Starship prototype passes acceptance testing and three Raptor engines can be installed, it will be a first for SpaceX’s next-generation rocket engine. For example, if SN4 makes it through testing and is ready to proceed into static fire operations, it will be the first time Raptor has operated in a multi-engine setup – always a significant milestone for any launch vehicle, including SpaceX’s own Falcon 9 and Merlin engines.
In case SN4 does make it to the other side, SpaceX is already prepared with both road closures and NOTAMs (Notices To Airmen) for static fire and hop tests spread out over the next week or so.
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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.
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 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.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
