News
SpaceX tests extra-fast ocean landing, celebrates 50th launch
The happy tragedy of 1044
SpaceX has successfully completed the 50th launch of Falcon 9 a bit less than eight years after its 2010 debut, and has done so in a fashion that almost perfectly captures the veritable tsunamis the company has begun to make throughout the global aerospace industry. After a duo of delays due to hardware issues and range conflicts, this evening’s launch successfully placed Hispasat 30W-6 into a geostationary transfer orbit (GTO), where the massive ~6100 kilogram communications satellite will now spend several months raising its orbit to around 36,000 km (22,000 miles) above Earth’s surface.
Falcon 9 flight 50 launches tonight, carrying Hispasat for Spain. At 6 metric tons and almost the size of a city bus, it will be the largest geostationary satellite we’ve ever flown.
— Elon Musk (@elonmusk) March 5, 2018
Aside from becoming the heaviest commsat the company has yet to launch into GTO, the mission’s anticipated landing attempt stirred up quite a bit of intrigue and uncertainty in the spaceflight fan community. Stormy Atlantic seas, partially connected to the chaotic weather recently seen on the East coast, proved to be far too dangerous for SpaceX’s eastern recovery fleet and its drone ship, OCISLY, and they returned to Port Canaveral around 48 hours ago, under the watchful eyes of many anxious SpaceX followers. Tragically, this means that the brand new Falcon 9 booster (B1044) – originally expected to attempt perhaps the most difficult landing yet – had to be expended. Although the booster went through its paces as if it were preparing to land, it found no drone ship beneath it once it reached sea level, and subsequently dunked into the stormy Atlantic seas.
However, due to the last-minute nature of SpaceX and Hispasat’s decision to expend the booster rather than delay for better recovery conditions, launch technicians at Pad 40 simply did not have time to remove the rocket’s iconic landing legs and valuable titanium grid fins – the first time their titanium iteration has been chosen for a Falcon 9 to resist extreme reentry heating. Due to massive swells, recovery of even pieces of the expended booster – theoretically following a soft landing – will not be possible, as no SpaceX recovery vessels remained at the planned point of touchdown 400 miles off the Florida coast. Notably, following the successful inaugural flight of Falcon Heavy, CEO Elon Musk stated that upgraded titanium grid fins were “super expensive” and unequivocally “the most important thing to recover.” SpaceX’s decision to expend Falcon 9 B1044 without even sparing the time to remove the booster’s recovery hardware and titanium fins demonstrates just how focused the company is on its customers’ needs. In the case of geostationary communications satellites like Hispasat 30W-6, launch delays on the order of a few days can cause millions of dollars of financial harm to the parent company – each day a satellite spends on the ground orbit is also a day with no revenue generation, a less-than-thrilling proposition to shareholders.
- Falcon 9 1044 lifts off for its first and last time in a breathtaking display of power. (Tom Cross)
- Falcon 9 1044 vertical at Pad 40 around 72 hours before launch. (Tom Cross)
- Booster 1044 displays its number one last time. (Tom Cross)
- RIP B1044’s titanium grid fins. May they make a happy little reef at the bottom of the ocean. (Tom Cross)
B1044 sadly lost any hope at a second flight, but the data SpaceX gathered from its uniquely fast reentry and attempted soft-landing will hopefully pave the way for the recovery of Falcon 9 and Heavy boosters after all but the heaviest satellite launches. GovSat-1, a launch that saw its flight-proven booster famously survive a similarly hot landing in the ocean, was the first largely successful test of this new and experimental method of more efficiently recovering Falcons. By igniting three of its nine Merlin 1D engines instead of the usual single engine while landing, Falcon boosters can theoretically reduce the amount of fuel needed to safely land, fuel savings that can then be used to push its payloads higher and faster. However, the downsides of this approach are several. With three times as many engines igniting at landing, the margin of error for a successful landing becomes downright miniscule – the tiniest of problems with ignition, throttle control, or guidance could cause the rocket to smash into the drone ship at considerable speed. Additionally, triple the landing thrust would subject the booster to as much as 10Gs of acceleration (10 times the force of Earth’s gravity), forces that would almost instantaneously cause the average human (and even specially trained fighter pilots) to black out.
This rocket was meant to test very high retrothrust landing in water so it didn’t hurt the droneship, but amazingly it has survived. We will try to tow it back to shore. pic.twitter.com/hipmgdnq16
— Elon Musk (@elonmusk) January 31, 2018
Regardless of 1044’s untimely demise, another successful mission for SpaceX is purely positive. Happy customers make for a happy company, and SpaceX has achieved an incredible consistency of success in the last year alone. The loss of a new, potentially-reusable Falcon 9 booster is sad, but it only serves to foreshadow the imminent introduction of Falcon 9 Block 5, an upgrade hoped to realize Elon Musk’s decade-old dream of rockets that can be reused as many as 10 times with minimal refurbishment, and 100 times with maintenance. That debut could occur as early as April, just a month away.
https://twitter.com/_TomCross_/status/970900892005359617
Follow us for live updates, behind-the-scenes sneak peeks, and a sea of beautiful photos from our East and West coast photographers.
Teslarati – Instagram – Twitter
Tom Cross – Twitter
Pauline Acalin – Twitter
Eric Ralph – Twitter
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.
News
Tesla Cybercab launch preparations have begun
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
Elon Musk says he ‘hopes AI is nice to us’
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.




