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SpaceX's in-flight rocket engine failure threatens NASA astronaut launch debut

Falcon 9 punches through Max Q - peak aerodynamic stress - during its Starlink L6 launch. The booster did not survive the mission. (Richard Angle)

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An in-flight rocket engine failure during SpaceX’s March 18th Starlink launch could pose a threat to the company’s imminent NASA astronaut launch debut according to a statement provided by the space agency yesterday.

SpaceX and NASA are currently working around the clock to prepare a Falcon 9 rocket and Crew Dragon spacecraft for the company’s inaugural astronaut launch, a flight known as Demonstration Mission 2 (Demo-2/DM-2). All launch vehicle and spacecraft hardware – including booster B1058, an expendable upper stage, a spacecraft trunk, and the Crew Dragon capsule itself – are already believed to be at SpaceX’s Florida launch and processing facilities.

Prior to March 18th, the biggest gating items were believed to be a few final parachute tests and a whole lot of paperwork and reviews, as well as some important but less showstopping astronaut training. Unfortunately, SpaceX has suffered two unforeseen issues of varying severity in the last few days, both of which are now all but guaranteed to impact Crew Dragon’s astronaut launch debut schedule.

“According to the CCtCap contracts, SpaceX is required to make available to NASA all data and resulting reports. SpaceX, with NASA’s concurrence, would need to implement any corrective actions found during the investigation related to its commercial crew work prior to its flight test with astronauts to the International Space Station. NASA and SpaceX are holding the current mid-to-late May launch timeframe, and would adjust the date based on review of the data, if appropriate.”

NASA — March 25th, 2020

B1048 lifted off for the fifth and final time on March 18th, 2020. (Richard Angle)

On March 18th, less than three minutes after liftoff and shortly before stage separation was scheduled, Falcon 9 booster B1048 – on its historic fifth launch attempt – suffered an engine failure visible on SpaceX’s official webcast. By all appearances, Falcon 9’s autonomous flight computer accounted for the engine’s failure, shutdown, and the resultant loss of thrust by burning B1048’s eight remaining engines for several seconds longer than planned.

Falcon 9 B1048 is pictured during launch, one frame (~0.05s) before it suffered an engine failure. (SpaceX)
The first frame of the off-nominal event. The extremely unusual flare is very likely one of Falcon 9’s nine Merlin 1D engines exploding during flight. (SpaceX)

While that extra few seconds of burn time likely ensured that the rocket’s upper stage was able to make it to the correct orbit after stage separation, roughly five minutes after B1048’s extremely rapid engine failure, contact was lost. For the first time ever, there were no landing burn-related call-outs from SpaceX launch operators, the first sign that something was seriously wrong. A few minutes later, SpaceX’s webcast hosts acknowledged that the booster had been lost, perhaps lacking the propellant it needed to attempt a landing.

For reference, Merlin 1D engines likely consume some ~270 kg (600 lb) of fuel each second. Falcon 9’s landing propellant reserves are believed to be on the order of 50+ metric tons (110,000 lb). Excluding the failed engine, eight Merlin 1Ds burning at full thrust for an additional 5 seconds would consume 20% of the propellant needed for landing; 10 seconds and it would use 40%.

The anomaly was Merlin 1D engine’s first in-flight failure ever. The 2012 failure of one of an original Falcon 9 V1.0’s rocket’s nine Merlin 1C engines is SpaceX’s only other in-flight failure.

It’s likely that B1048’s engine failure was primarily related to the fact that the booster was SpaceX’s pathfinder for a fifth-flight reusability milestone, making it the most reused rocket booster ever launched. NASA currently requires all of its Crew Dragon missions to launch on new Falcon 9 rockets, hopefully mitigating direct corollaries between the Starlink L6 anomaly and astronaut launches. Regardless, the space agency says that the company will now have to complete its internal failure review and implement necessary hardware, software, or rule changes before it’s allowed to launch NASA astronauts.

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In a major twist, NASA has effectively confirmed that SpaceX will become the first private company in history to launch astronauts into orbit. (SpaceX)
Technicians prepare SpaceX’s Crew Dragon Demo-2 spacecraft for its historic launch debut in February 2020. (SpaceX)

That investigation could take a matter of weeks, possibly even less, but it’s entirely possible that it could take months – let alone fixing the problems that allowed the in-flight Merlin 1D engine failure to happen in the first place. Ultimately, it will almost certainly make even the first flights of Falcon 9 and Heavy rocket boosters safer, but it could substantially delay SpaceX’s Demo-2 astronaut launch debut. Still targeted no earlier than (NET) mid-to-late May 2020, it’s safe to say that it’s reasonable to expect that schedule to slip over the next 4-6 weeks. Stay tuned for updates.

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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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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