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SpaceX aces fourth Starship flight test

Starship launches on its 4th flight test (Credit SpaceX)

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SpaceX successfully launched and landed its Super Heavy booster and Starship on its fourth integrated flight test, with each making a soft splashdown in the water.

Starship took to the skies at 7:50 am CT from a foggy Starbase, Texas, in an effort to surpass previous flight milestones.

As the countdown hit zero, 32 of 33 Raptor engines on the Super Heavy booster lit, with the outlier being an engine on the outer ring. Despite the engine out, the booster still ascended with ease away from the launch mount and broke through the thick fog into clear blue skies with views streamed back to the ground from just above one of the grid fins.

As Starship climbed, everything continued to operate nominally all the way through the hot staging which saw Super Heavy Booster 11 shut down all but its 3 center Raptor engines as Starship 29 lit its 6 Raptor engines to pull away from the massive booster. As soon as Starship was clear, Booster 11 completed a flip and boostback burn to begin its trip for a planned soft touchdown in the Gulf of Mexico by relighting 10 Raptor engines.

Once the boostback burn was complete, the hot staging ring was ejected to reduce the overall mass of the booster to help it survive reentry and landing. Future Super Heavy boosters will feature a lighter hot staging ring that will not be ejected. As the booster made its way back, it re-orientated to vertical and began re-entry back through the atmosphere, and unlike the Falcon 9, it does not perform an entry burn.

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At around 7 minutes and 15 seconds into flight, the Super Heavy booster lit 12 out of a planned 13 engines for its landing burn, followed shortly by quite a bit of debris flying by the onboard camera, but it did not affect anything critical as seconds later Booster 11 made a successful splashdown in the Gulf of Mexico before a slow planned tip over into the water.

As Booster 11 completed the first successful soft landing, Starship 29 fired its six Raptor engines, three sea level and three vacuum, with engine shutoff coming in at eight and a half minutes into flight. The starship then entered a long coast phase as it passed between the Florida Keys and Cuba and transited over the Atlantic Ocean, followed by Africa.

During IFT-3, live views were provided for a majority of this portion but due to an unknown issue, cameras didn’t come back until just before 37 minutes into the flight. Elon Musk posted on X that they had a data signal the entire time including live views from internal cameras.

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45 minutes into the flight, the true test of Starship began as plasma started to build up, but this time, Starship was in the correct orientation, and the heatshield was facing the correct way to give the ship its best chance at survival.

As Starship descended, plasma build-up increased with callouts from mission control noting rising temperatures on the nose but all within acceptable limits. At just over 54 minutes into the flight, Starship made it further than the third flight test and into unknown territory.

Plasma builds up as Starship re-enters the atmosphere (Credit SpaceX)

57 minutes into the flight, peak heating had passed but tiles were starting to fall away from the forward flap followed by melting of the lower portion, despite this damage, Starship held strong and in the correct orientation as it descended.

Starship continued its descent and, with significant damage, still made it through to its own landing burn and performed its flip to a vertical orientation and a soft touchdown in the Indian Ocean west of Australia.

Damage to the forward flap as seen during the landing burn (Credit SpaceX)

Even with the damage inflicted on Starship, it completed all test objectives while providing SpaceX with incredibly valuable data that will be used to make the ship stronger on future test flights. The Starlink antenna also survived the entire flight which ensured this data made it back to mission control.

With this successful mission complete, SpaceX could launch the 5th flight by mid to late July and possibly even attempt a catch of the Super Heavy booster according to Elon Musk.

Catch a replay of this epic mission below!

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How do you think this flight went overall, and will the fifth flight take place by August?

Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.

Launch journalist, specializing in launch photography. Based on the Space Coast, a short drive from Cape Canaveral and the SpaceX launch pads.

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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.

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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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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.

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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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