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SpaceX Falcon Heavy beats out ULA Vulcan rocket for NASA Moon rover launch
SpaceX’s Falcon Heavy rocket appears to have edged out competitor United Launch Alliance’s (ULA) next-generation Vulcan Centaur launch vehicle to send a NASA rover and commercial lander to the Moon in 2023.
Back in August 2019, not long after NASA first began announcing significant contracts under its Commercial Lunar Payload Services (CLPS) program, startup Astrobotic announced that it contracted with ULA to launch its first small “Peregrine” lander and a dozen or so attached NASA payloads to the Moon in 2021. Rather than the extremely expensive but operational Atlas V rocket, the startup instead chose to manifest Peregrine on the first launch of Vulcan Centaur, a new ULA rocket meant to replace both Atlas V and Delta IV Heavy.
Less than two years later, Astrobotic has decided to purchase a dedicated launch from SpaceX – not ULA – for even larger “Griffin” lander that aims to deliver NASA’s ice-prospecting VIPER rover to the Moon and kick off the exploration of permanently-shadowed craters at its south pole.
Back in August 2019, Astrobotic’s announcement stated that “it selected United Launch Alliance’s (ULA) Vulcan Centaur rocket in a [highly competitive commercial process].” It later became clear that the Peregrine lander – while still scheduled to be sent directly to the Moon on a trans-lunar injection (TLI) trajectory – would not be the only payload on the mission. None of Vulcan Flight 1’s other payloads are known, but the presence of other paying customers helps explain how Vulcan beat SpaceX for the contract.
More importantly, companies willing to risk their payload(s) on new rockets have historically been enticed to overlook some of that first-flight risk with major discounts. In other words, in the often unlikely event that a company manages to sell a commercial rocket’s first launch, it’s incredibly unlikely that the same rocket will ever sell that cheaply again.
That appears to be exactly the case for ULA’s Vulcan Centaur rocket, which secured a lunar lander contract for its launch debut only to lose a similar lunar lander launch contract from the same company – well within the range of Vulcan’s claimed capabilities – less than two years later. If SpaceX’s relatively expensive Falcon Heavy managed to beat early Vulcan launch pricing, there is virtually no chance whatsoever that Vulcan Centaur will ever be able to commercially compete with Falcon 9.
In fact, back in 2015 when Astrobotic began making noise about its plans to build commercial Moon landers, the larger Griffin was expected to weigh some 2220 kg (~4900 lb) fully-fueled and – when combined with SpaceX’s Falcon 9 workhorse – be able to land payloads as large as 270 kg (~600 lb) on the Moon. It’s unclear if that figure assumed an expendable Falcon 9 launch or if it was using numbers from the rocket’s most powerful variant, which was still a few years away at the time.
Either way, NASA’s VIPER lander – expected to have a launch mass of ~430 kg (~950 lb) – is a bit too heavy for a single-stick Falcon 9 flight to TLI. It’s also reasonable to assume that Griffin’s dry and fueled mass has grown substantially after more than half a decade of design maturation and the first Peregrine lander reaching the hardware production and assembly phase. While Falcon 9 narrowly falls short of the performance needed for Griffin/VIPER, a fully recoverable Falcon Heavy is capable of launching more than 6.5 metric tons to TLI, offering a safety margin of almost 100%.
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Astrobotic says it has purchased a dedicated Falcon Heavy launch for Griffin-1 and VIPER, but it would be far from surprising to see one or multiple secondary payloads find their way onto a mission with multiple tons of extra capacity. Presumably assuming that its Q4 2021 or early 2022 Peregrine Moon landing debut is successful, Astrobotic and SpaceX aim to land Griffin-1 and NASA’s VIPER rover on the Moon as early as “late 2023.”
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.
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 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.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
