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SpaceX’s Falcon Heavy fairing tries to enter hyperspace, lands in net in new videos
SpaceX and CEO Elon Musk have released videos offering an extended look at the unexpectedly dramatic conditions Falcon payload fairings are subjected to during atmospheric reentry, as well as the first successful landing in GO Ms. Tree’s net.
Captured via an onboard GoPro camera during Falcon Heavy’s June 25th launch of the USAF Space Test Program-2 (STP-2) mission, the minute-long cut shows off a light show more indicative of a spacecraft entering hyperspace than the slightly more mundane reality. Shortly after SpaceX posted the reentry video, CEO Elon Musk followed up with a video showing a fairing’s gentle landing in Ms. Tree’s net. More likely than not, the fairing with the camera attached and the fairing that became the first to successfully land in Mr. Steven’s (now GO Ms. Tree’s) net are the same half. Regardless, the videos help document a major step forward towards SpaceX’s ultimate goal of fairing reuse.
“In a pleasant, last-minute surprise, SpaceX fairing recovery vessel Mr. Steven has departed Port Canaveral for its first Falcon fairing catch attempt in more than half a year. The speedy ship has already traveled more than 1250 km (800 mi) in ~48 hours and should soon be in position to attempt recovery of Falcon Heavy Flight 3’s payload fairing halves.
Over the last week or two, Mr. Steven has been officially renamed to GO Ms. Tree, a strong indicator that Guice Offshore (GO) – a company SpaceX is heavily involved with – has acquired the vessel from financially troubled owner/operator Sea-Tran Marine. With this likely acquisition, nearly all of SpaceX’s non-drone ship vessels are now leased from – and partially operated by – GO. The name change is undeniably bittersweet for those that have been following Mr. Steven’s fairing recovery journey from the beginning. However, it’s also more than a little fitting given that the vessel switched coasts and suffered an accident that forced SpaceX to replace the entirety of its arm-boom-net assembly. Much of Mr. Steven – now GO Ms. Tree – has been replaced in the last few months and with any luck, the vessel is better equipped than ever before to snag its first Falcon fairing(s) out of the air.”
— Teslarati.com, June 24th
As they say, the rest is history. Some 60-75 minutes after Falcon Heavy lifted off from Pad 39A on June 25th, Ms. Tree successfully caught a parasailing fairing for the first time ever, just barely snagging one of the two halves at the very edge of the ship’s net. Two days later, Ms. Tree arrived back at Port Canaveral. Another 24 hours after that, the intact, dry fairing half was safely lifted onto land and transported to a local SpaceX facility dedicated to analyzing (and eventually refurbishing) recovered Falcon fairings.
Landing on Ms. Tree pic.twitter.com/4lhPWRpaS9— Elon Musk (@elonmusk) July 4, 2019
With any luck, the successful catch will prove that the years of work have been worth it, demonstrating that fairing halves caught – rather than fished out of the ocean – are structurally sound and clean enough to be quickly and affordably reused. While Falcon fairings have been estimated to take up less than 10% of the material cost of Falcon 9 production (~$6M, $3M/half), the manufacturing apparatus needed to build them takes up a huge amount of space. Additionally, the process of oven-curing huge, monolithic carbon fiber fairings introduces fundamental constraints that physically limit how quickly they can be built.
Fairing reuse would be an invaluable benefit for SpaceX’s internal Starlink launches, of which dozens and – eventually – hundreds will be needed to build an operational constellation of satellites. Thanks to the wonders of Falcon 9 Block 5 booster reuse, the internal cost of a flight-proven booster is essentially just the cost of refurbishment and then the propellant and work-hours needed to launch it. What remains is the cost of the expendable Falcon upper stage (unlikely to be recovered or reused) and payload fairing, now reasonably consistent at landing intact on the ocean surface but yet to demonstrate practical reusability.
As proposed, SpaceX’s completed Starlink constellation represents almost 12,000 satellites. Assuming no progress is made with packing density, no larger payload fairing is developed, and Starship doesn’t reach orbit until the mid-2020s (admittedly unlikely), Starlink will require almost exactly 200 Falcon 9 launches, each carrying 60 satellites. According to Musk, despite the fact that the first 60 satellites launched were effectively advanced prototypes, the cost of launch is already more than the cost of satellite production.
Speaking at a conference in 2017, Musk noted that payload fairings cost about $6M to produce, roughly 10% of Falcon 9’s $62M list price. In 2013, Musk stated that the first stage represented less than 75% of the overall cost of Falcon 9 production, meaning that the rocket’s upper stage probably represents another 15-20% (call it a 70:20:10 split), or ~$9-12M. Conservatively assuming that the operating costs of Falcon 9 refurbishment, launch, and recovery are roughly $5M per mission, the internal cost to SpaceX for a launch with a recoverable flight-proven booster and an expended fairing and upper stage could be just $20-25M and may be even lower.
For reference, assuming 200 Falcon 9 launches, SpaceX could save nearly $600M by consistently recovering and reusing just one fairing half on average per launch, up to as much as $1.2B if both halves can be consistently recovered and reused. June 25th’s successful fairing catch is the biggest step yet in that direction and is hopefully a sign of many good things to come for SpaceX’s latest attempt at building truly reusable rockets.
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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
