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SpaceX isn’t giving up on catching rocket fairings, boat spotted with new net

Mr. Steven was captured performing tests with a duo of fairings and nets at its Port of LA berth, January 22nd. (Pauline Acalin)

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SpaceX fairing recovery vessel Mr. Steven was spotted in Port of San Pedro on January 22nd performing tests with two fairings in its net, hinting at the challenging logistics of safely recovering both Falcon 9 fairing halves with one ship.

Although SpaceX engineers and technicians have yet to catch a parasailing Falcon 9 fairing (let alone two) after an actual operational launch, a series of controlled fairing drop tests – using a barge and a helicopter – have brought Mr. Steven agonizingly close to success, evidenced by an official video published by SpaceX earlier this month.

Teslarati photographer Pauline Acalin managed to make it to Berth 240 in time to capture one section of SpaceX’s fairing recovery testing, in which Mr. Steven was loaded with two fairings, one on the large main net (the passive half) and one (the active half) atop a much smaller net slack on the vessel’s deck. By asymmetrically actuating each net’s separate electric motors, recovery technicians appear to be able to control fairing half orientation and shift their position in the net. It’s unclear how exactly Mr. Steven’s main (top) and secondary (bottom) nets are meant to interface insofar as it does not appear physically possible for a fairing half in the top net to make its way to the bottom net without the intervention of dockside cranes.

Perhaps more importantly, local photographer Jack Beyer was able to observe additional activities just prior to Pauline’s arrival, capturing what looked like a weighted parachute drop test onto either Mr. Steven’s net or the concrete docks beside the vessel.

The goal of that parachute/weight drop test is entirely opaque. Regardless, Tuesday’s tests do seem to indicate that SpaceX is thinking about recovering both post-launch Falcon fairing halves with a single Mr. Steven, a capability upgrade that would make the incomplete challenge of catching fairings even more difficult. Assuming both fairing halves deploy their parafoils at roughly the same time, it might be possible for the autonomous parafoils to modify trajectories in such a way that a gap of seconds or even minutes could be created between both planned splashdowns, offering Mr. Steven a minute or two to free its net of the first captured half before gently catching the second.

Despite the fact that SpaceX has not yet had operational success in the ~12 months recovery engineers and technicians have been working with Mr. Steven, tests like those performed on Tuesday have continued to reliably occur. If anything, the fact that experiments with dual-fairing recovery operations are still on the table is an encouraging indication that fairing recovery and reuse – particularly with Mr. Steven in the loop – are still a priority at SpaceX, while also suggesting that the company’s engineers and technicians are extremely confident that repeatable success is just a matter of refinement.

Mr. Steven is seen here just after a fairing half was placed on his main net. (Pauline Acalin, 01/22/19)

This should not come as a much of a surprise given that Falcon 9 began propulsive soft landing attempts in September 2013, 27 months before the company’s first successful Falcon 9 booster recovery. Nevertheless, SpaceX attempted its first actual landing aboard a drone ship in January 2015, separating the first attempt from the first successful landing by just less than 12 months. Fairing recovery is clearly an entirely different beast but the gist of this analogy remains true regardless – SpaceX’s brilliant engineers and technicians are unlikely to give up until a given problem is solved or their efforts are redirected elsewhere as company priorities shift.

Berth 240’s uncertain future

In the meantime, SpaceX may soon have to move Mr. Steven’s Port of San Pedro operations elsewhere according to a report from the LA Times that the company plans to “terminate [its] Terminal Island lease agreement.” SpaceX was unable to offer further insight beyond a statement provided about the future of BFR’s manufacturing, initially planned to occur at a dedicated factory that would have been built at Berth 240, which has also acted as Mr. Steven’s home for the last eight months.

Given the lack of official insight into the proceedings, it’s ambiguous if the terminated lease will be modified to allow for Mr. Steven to continue operating out of Berth 240. Prior to moving to Berth 240, SpaceX stationed Mr. Steven at Berth 52, home of drone ship Just Read The Instructions (JRTI) and support vessel NRC Quest. Space is already tight at that site, however, making it a suboptimal replacement for Berth 240.

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SpaceX signed its Berth 240 lease near the end of March 2018 and would have reached the first anniversary of its prospective BFR factory around two months from now. For now, only SpaceX seems to know where Mr. Steven’s operations and the first BFR (Starship/Super Heavy) production will ultimately be located.


Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes!

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:

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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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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.

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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.

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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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