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SpaceX just caught its first rocket nosecone in 5 months (and the booster landed, too)

SpaceX recovery ship Ms. Tree (formerly Mr. Steven) just caught its first fairing in several months. (SpaceX)

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One of SpaceX’s net-outfitted recovery ships has just completed the company’s first successful Falcon 9 nosecone (payload fairing) catch in more than five months, although the ship’s twin was not so lucky.

Known as GO Ms. Tree (formerly Mr. Steven) and GO Ms. Chief, today’s recovery attempt marked the second time ever that both ships simultaneously attempted to catch both halves of a Falcon 9 payload fairing. Outfitted with giant nets, those ships are meant to keep those featherweight fairings – flying with the help of GPS-guided parafoils – out of corrosive saltwater by being in exactly the right place at exactly the right time some 700-1000+ km (430-620+ mi) downrange. Unsurprisingly, consistently catching Falcon fairings has proven to be incredibly challenging — perhaps even more so than recovering Falcon 9 boosters.

As evidence, on today’s attempt – despite both ships being present in almost identical conditions, only one ship – Ms. Tree – managed to catch its assigned fairing half, while Ms. Chief missed her shot. For fairing recovery in general, this is SpaceX’s first successful catch in more than five months and third successful catch ever since attempts first began in early 2018.

Given the mechanics of the feat, it’s not all that surprising that Falcon fairing recovery has proven so exceptionally challenging. First and foremost, Falcon payload fairings are only worth around $6 million total – less than 10% of Falcon 9’s current base price and even less for Falcon Heavy, advertised with a base price of $90M per launch. If, for example, SpaceX ends up spending $100-200 million developing fairing recovery, it will take a bare minimum of 15-30+ flawless recoveries (of both halves, no less) to recoup the company’s investment.

Carrying 60 Starlink satellites, Falcon 9 B1051 lifted off at 9:07 am EST (14:07 UTC) on January 29th. (Richard Angle)
Around 40 minutes later, one of the fairing halves pictured above made its way to recovery ship Ms. Tree’s net, SpaceX’s third successful catch ever. (SpaceX)

Still, given that SpaceX will need no fewer than 75-190+ dedicated Falcon 9 launches to orbit its entire licensed Starlink constellation, it’s not surprising that the company has deemed the investment and major challenges worth it. While the payload fairing only represents 10% of the cost of a new Falcon 9, accounting for the booster reuse that is more or less guaranteed on all Starlink missions means that the fairing could actually represent more like 30%+ of the cost to SpaceX for each internal Starlink launch.

Ultimately, even on the low end of Starlink’s required Falcon 9 launches, recovering and reusing payload fairings could save SpaceX hundreds of millions of dollars. Not only that, reliable fairing recovery would mean that SpaceX can close the recovery loop on both Falcon 9 boosters and fairings, representing some 75-80% of the rocket’s total cost. In other words, recovering fairings could allow SpaceX to lower the cost of launch to something like $15 or $20M for each Starlink mission — simply inconceivable and definitely unbeatable for more than 15 metric tons (33,000 lb) to low Earth orbit (LEO).

Each batch of 60 Starlink v1.0 satellites is believed to weigh no less than 15,600 kg (34,400 lb). (SpaceX)

Meanwhile, some 35 minutes before Ms. Tree caught her third Falcon fairing, Falcon 9 booster B1051 nailed its third drone ship landing in 10 months, setting the rocket up for a fourth launch and landing sometime in the near future.

Falcon 9 B1051 is pictured aboard drone ship Of Course I Still Love You for the second time after its third flawless landing. (SpaceX)

A little over an hour after liftoff, Falcon 9’s second stage spun itself up like a propeller and released the fourth batch of 60 Starlink satellites, completing the company’s third flawless launch of 2020 and taking SpaceX a step towards providing Starlink internet to customers around the world.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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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.

Elon Musk shares details on X vs. Brazil conflict

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.

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Tesla Cybercab launch preparations have begun

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Credit: TechOperator | X

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:

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.

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Elon Musk says he ‘hopes AI is nice to us’

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elon musk
Credit: Ministério Das Comunicações [CC BY:2.0]

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.”

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.

Elon Musk breaks silence on OpenAI trial decision

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.

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