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SpaceX Falcon Heavy rocket rolls to pad for Tuesday launch, dual booster landing

A Falcon Heavy rocket has rolled out to the launch pad - to launch - for the first time since June 2019. (Richard Angle)

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A SpaceX Falcon Heavy rocket has rolled out to Kennedy Space Center Pad 39A for its first launch (and dual booster landing) in almost three and a half years.

Missing its payload fairing and the US Space Force’s classified USSF-44 payload, SpaceX’s fourth Falcon Heavy rocket rolled out to Pad 39A for the first time on October 25th. On the 27th, the rocket successfully fired up all 27 of its first-stage Merlin 1D engines, reasserting its status as the most powerful operational rocket in the world. On October 30th, SpaceX finally brought Falcon Heavy horizontal and rolled the rocket back to Pad 39A’s integration hangar, where the USSF-44 mission’s several payloads – safely stowed inside a payload fairing – were installed on the rocket.

24 hours later, Falcon Heavy – now fully assembled – departed the hangar again. According to the US Space Systems Command (SSC), despite the exceptionally late rollout on October 31st, SpaceX is on track to launch Falcon Heavy no earlier than (NET) 9:41 am EDT (13:41 UTC) on Tuesday, November 1st.

As previously discussed on Teslarati, USSF-44 will be SpaceX’s first attempt at a direct launch to a geostationary orbit (GEO) some ~36,000 kilometers (~22,400 mi) above Earth’s surface, where spacecraft can hover motionless over their region of choice. To accomplish that feat, Falcon Heavy’s upper stage will need to survive a roughly six-hour coast in the harsh vacuum of space, likely making USSF-44 one of the most challenging missions SpaceX has ever attempted.

Long orbital coasts of six or so hours are necessary for some of the most challenging launch trajectories. Direct-to-geostationary launches are the most common mission requiring long coast capabilities and are often demanded by the US military. When Falcon’s upper stage gets too cold, its kerosene fuel – which freezes at a much higher temperature than Falcon’s liquid oxygen oxidizer – becomes viscous and slush-like before it becomes solid. If ingested in Falcon’s Merlin Vacuum engine, slushy fuel would likely prevent ignition or outright destroy it.

Teslarati.com – October 10th, 2022

Simultaneously, while worrying about kerosene fuel getting too cold, SpaceX must also ensure that the Falcon upper stage’s cryogenic liquid oxygen (LOx) oxidizer doesn’t boil into gas. If too much LOx warms up and has to be vented out as it turns to gas, the Falcon upper stage could find itself without enough propellant to complete its geostationary orbit circularization burn.

LOx is far less stable, which makes it a bit ironic that the upper stage’s fuel tank bares the only visible sign of the tweaks needed to survive a long coast. To keep the RP1 fuel warmer in orbit, SpaceX has added a layer of grey paint to the RP1 tank, increasing the amount of heat that can be absorbed through unfiltered sunlight. The uninsulated LOx tank, meanwhile, benefits from the unintuitive fact that a cryogenic liquid can stay liquid for a surprisingly long time because some of it warms up and boils off as a gas, sacrificing a small quantity to keep the rest cool.

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A look inside the LOx tank of a Falcon 9 upper stage while in orbit. (SpaceX)

According to the US Space Force, USSF-44 will carry several “various payloads” attached to the second Northrop Grumman “Long Duration Propulsive EELV (Evolved Expendable Launch Vehicle) Secondary Payload Adapter” or LDPE-2 – essentially a long-duration kick stage. Cataloged on EverydayAstronaut.com, the payloads include two Lockheed Martin LINUSS-A cubesats that will demonstrate a handful of new technologies and capabilities; TETRA-1, a microsat built by Millenium Space Systems to test on-orbit maneuverability; and a communications satellite prototype called USUVL. Spaceflight Now reports that LPDE-2 will carry three hosted payloads and deploy three satellites.

Finally, a recent Space Systems Command press release [PDF] mentioned a mysterious “Shepard demonstration” – likely a second propulsive kick stage – for the first time, which almost nothing is known about. It’s unclear if there is a main classified satellite the mission revolves around or if USSF-44 is simply a collection of various rideshare payloads headed to GEO.

Regardless, to launch them directly into geostationary orbit, USSF-44 will mark the first time SpaceX intentionally expends a Falcon Heavy booster. Over three previous launches, SpaceX only managed to land a Falcon Heavy center core once, but that core then tipped over and was destroyed at sea. Two other attempts resulted in failed landings. USSF-44 will continue that trend. Falcon Heavy’s twin side boosters will attempt to continue a more positive trend of simultaneous side-by-side landings and boost back to Florida to touch down at SpaceX’s LZ-1 and LZ-2 pads. SpaceX will also attempt to recover both halves of Falcon Heavy’s payload fairing a record-breaking 1410 kilometers (876 mi) off the Florida coast.

SpaceX says weather is 90% favorable for Falcon Heavy’s November 1st launch attempt. Stay tuned for a link to the company’s official webcast.

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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