News
SpaceX’s flight-proven Falcon 9 and drone ship fleet ready for duo of launches
SpaceX is gearing up for a duo of flight-proven Falcon 9 launches and drone ship landings on both coasts of the United States, set for liftoff from Cape Canaveral’s Kennedy Space Center and Vandenberg Air Force Base no earlier than (NET) November 15th and 19th, respectively.
#SpaceXArmada: Moments ago, outbound tugboat Hawk with droneship OCISLY in tow in @PortCanaveral. Destination: Booster core landing/recovery LZ of Thursday's #Eshail2 launch, approx 408 mi E of @NASAKennedy. pic.twitter.com/n5FvBdIvpt
— Cowboy Dan (@CowboyDanPaasch) November 12, 2018
East Coast activities
On the East Coast, drone ship Of Course I Still Love You departed from Port Canaveral late last night (Nov 11) as Falcon 9 B1047 rolled onto Pad 39A for a preflight static fire test, where the rocket will be filled with a full complement of fluids (TEA/TEB, helium, nitrogen, oxygen, kerosene) and all nine Merlin 1D engines are ignited in order to replicate the seconds just prior to a real launch. That static fire test was originally expected to occur on November 10 or 11 but has obviously been pushed back a day to Nov. 12, likely meaning that the rocket’s launch – carrying Qatari communications satellite Es’hail-2 – will slip 24 hours to 3:46pm EST (08:46 UTC) on the 16th,
Following the unfortunate loss of Amos-6 during a preflight static fire in September 2016, SpaceX has since made a reasonable move away from performing static fires with payloads integrated atop the rocket, unless the customer specifically requests that it be done that way to save time. As such, Falcon 9 must be brought horizontal, rolled back to the hangar, inspected, and finally have the payload and fairing attached to the rocket, a sensitive process that demands nuance and time. Combined with an analysis of data gathered during the static fire, this process – when all goes as planned – can take at least 48 hours from start to finish, and longer still if any minor off-nominal behavior is observed or the launch customer has additional requirements (typically reserved for NASA and national security-related missions).
- B1047 horizontal at Pad 39A, November 11. (Tom Cross)
- B1047 made an extraordinary ring vortex rainbow as it smashed through Max Q, the point of highest aerodynamic stress on the rocket. (Tom Cross)
- B1046 seen mid-static fire at Pad 39A ahead of Falcon 9 Block 5’s launch debut, May 2018. (Tom Cross)
Because rockets like Falcon 9 are extraordinarily intricate and finely-tuned machines, perfectly nominal launch-related events are few and far between. In reality, the time between static fire rollout and launch readiness is rarely less than three days (72 hours), not including the process of rolling the fully-integrated rocket back out to the pad, aligning and securing the vehicle and transporter-erector (TE) over the flame trench, and finally attaching all umbilical connections and verifying vehicle health. Speaking generally, four to five days is a good rule of thumb for the time it takes to complete Falcon 9’s static fire and return the rocket to the pad after attaching the payload.
Still, it’s always a good sign when a drone ship leaves port, much like OCISLY did on the evening of the 11th. The journey to its destination will take 2-3 days, meaning that the drone ship will be ready to catch Falcon 9 whenever the rocket is ready to launch.

Drone ships and sooty rockets, oh my!
On the West Coast, SpaceX is also getting ready for drone ship Just Read The Instructions (JRTI) to depart Port of San Pedro in anticipation of a presumed sea recovery of Falcon 9 following the NET Nov 19 launch of a multi-satellite rideshare mission known as SSO-A. While SpaceX currently holds two recovery licenses for the booster, one by sea and one at the land-based LZ-4 pad, it’s possible that the company will be forced to use JRTI despite the fact that Falcon 9 will have plenty of propellant left to return itself to the launch site (RTLS). United Launch Alliance’s (ULA) next Delta IV Heavy rocket is currently on-pad with a presumably very expensive National Reconnaissance (NRO) satellite attached roughly 1.5 miles northeast of SpaceX’s LZ-4 – the rest of the gaps are easy enough to fill in.
- Falcon 9 Block 5 booster B1046 seen during both of its post-launch landings. (SpaceX/SpaceX)
- B1047 completed its first successful launch in July 2018. (Tom Cross)
- B1047 seen rolling into 39A’s integration hangar for refurbishment on July 31st. (Reddit – Kent767)
JRTI was spotted by Teslarati photographer Pauline Acalin performing some rare sea trials on November 10 after spending several weeks berthed at port for routine maintenance and deck repairs. Fairing recovery vessel Mr. Steven has also been undergoing some unusual modifications, now proudly sporting what can only be described as a steel horn recently installed on the tip of his bow deck. After sitting out a catch attempt during the launch of SAOCOM 1A to prepare for controlled helicopter drop tests performed over a period of several weeks in October, Mr. Steven will most likely be ready for another stab at operational fairing recovery during SSO-A.
Both rockets – B1047 to the East and (presumed) B1046 to the West – are flight-proven, meaning that they have flown operational orbital missions prior to their upcoming launch attempts, B1047 launched communications satellite Telstar 19V in July 2018, while B1046 has actually performed two successful launches already, Bangabandhu-1 in May and Telkom 4 (Merah Putih) in August.
For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!
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.







