News
SpaceX Falcon 9 rockets and drone ship wow with sunset, sunrise port returns
With two back-to-back Starlink launches, SpaceX drone ship Of Course I Still Love You (OCISLY) has returned to port twice in two weeks with Falcon 9 boosters and some of the most beautiful sunrise and sunset backdrops yet seen.
Two days after its sixth successful launch and drone ship landing, Falcon 9 booster B1060 sailed into Port Canaveral on OCISLY around sunset on March 26th. Two weeks later, the same drone ship returned to port once again, this time carrying Falcon 9 booster B1058 back to land after a flawless seventh launch and landing and near-record-breaking 27-day turnaround.
Virtually identical beyond the boosters that launched them, both B1060 and B1058 were tasked with supporting two missions to deliver batches of 60 new Starlink satellites into low Earth orbit. Of the ten launches SpaceX has completed in 2021, eight have been Starlink missions, altogether placing 490 satellites weighing almost 130 metric tons (290,000 lb) into orbit.



Incredibly, Falcon 9 B1058 and B1060 alone have been responsible for six of those ten launches, making the pair – in no uncertain terms – the shining workhorses of SpaceX’s rocket fleet. Put in a slightly different way, SpaceX is now regularly flying multiple Falcon boosters on an almost monthly basis. With just a handful of similarly-capable boosters, SpaceX could feasibly achieve 60+ Starlink launches annually while still maintaining an almost secondary fleet of (relatively) lightly-used boosters for customer missions.
As it turns out, SpaceX already has three once-flown Falcon 9 boosters of the same age (batch?) as B1058 and B1060 – at least two of which are waiting for crucial flight-proven debuts for NASA and the US military. After acing Crew Dragon’s operational Crew-1 astronaut launch debut last November, B1061 is scheduled to become the first flight-proven liquid rocket booster to launch astronauts with NASA’s Crew-2 mission on April 22nd. B1062, having successfully launched the US military’s GPS III SV04 navigation satellite in November 2020, is scheduled to launch a second GPS III satellite in July 2021 – a first for the US military.



Meanwhile, Falcon 9 B1063 may have been transported from California to Florida after successfully launching NASA and ESA’s Sentinel 6A Earth observation satellite and completing SpaceX’s first Vandenberg launch in almost 18 months – also in November 2020. If all three of those new once-flown boosters were to enter SpaceX’s general-purpose fleet after their next major customer missions and prove to be as low-maintenance as B1058 and B1060, those five rockets alone could potentially support an annual cadence of 50-60+ Starlink launches.
It’s also possible that – having finally seen the clear viability of flight-proven rockets writ large – NASA and the US military will effectively choose to keep B1061, B1062, and possibly B1063 primarily in-house, so to speak. Depending on their contracts, by paying SpaceX a premium or forgoing discounts for flight-proven first stages, both could feasibly ensure that those boosters remain mostly (or totally) exclusive to NASA or US military missions.
Ultimately, whether SpaceX gets to add those comparatively new boosters to its Starlink and commercial fleet, B1058 and B1060 show no signs of stopping and – perhaps alongside B1049 and B1051 – could easily sail past their ten-flight milestones before the year is out. Many, many more spectacular drone ship recoveries to come, in other words.
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.
