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SpaceX CEO Elon Musk forecasts a dozen Starship launches next year

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CEO Elon Musk has provided a small update on SpaceX’s next-generation Starship rocket in a brief statement to and Q&A with the board of the US National Academies of Science, Engineering, and Medicine.

While it’s now been more than two years since Musk last gave a proper presentation on the Starship program, a number of excellent questions from board members still managed to extract a handful of new details about the fully reusable rocket, which the SpaceX CEO says aims to “be a generalized transport mechanism for the [entire] solar system.” According to Musk, though, the most pressing near-term issues facing SpaceX are more down to Earth.

https://www.youtube.com/watch?v=rLydXZOo4eA

Reiterated several times in his comments to the National Academies, Musk says that the current limiting factor for Starship is securing regulatory approvals from the FAA for the rocket’s first orbital test flights, which SpaceX and Musk initially hoped would begin as early as mid-2021. Targets from July to November 2021 have since come and gone, while SpaceX has only begun to make concerted progress towards Starship’s first orbital launch in the last two or so months. Almost two months after its first rollout, Starship S20 – the first orbital-class prototype – began integrated testing, completing ambient and cryogenic proof tests in late September and its first Raptor preburner and static fire tests in the second half of October.

Most recently, after almost a month spent inactive at SpaceX’s Starbase test facilities, Starship S20 fired up all six of its Raptor engines – the first test of its kind and a major milestone for the program. Save for the completion of some relatively simple closeout tasks, Starship S20 is now more or less qualified for flight after its successful static fire. That leaves Super Heavy Booster 4 (B4) – the first stage meant to carry Ship 20 into space – up next on SpaceX’s South Texas testing docket after almost four agonizing months spent sitting, untested, at various Starbase facilities.

Musk says that SpaceX preparing to complete “a bunch of tests in December” with the implication that those tests likely include the first full Super Heavy wet dress rehearsal (WDR) with thousands of tons of live propellant and the first several booster static fire tests. Recently refitted with 29 Raptor engines for the third time in four months, it appears that SpaceX is finally close to finishing Super Heavy B4 to a point that will allow the booster to begin integrated testing. Through Super Heavy B3, which completed testing this summer, SpaceX thankfully already knows that the basic booster design is a structurally sound pressure vessel with plumbing and systems capable of surviving a three-Raptor static fire.

Super Heavy B3 completed a very limited test campaign in July 2021. (SpaceX)

Still, that’s barely more than 10% of the total number of engines Super Heavy will need operational to send Starship to orbit. After months at the pad, SpaceX is finally closing out Booster 4’s aft section and installing a basic heat shield around its 29 Raptor engines, which will produce up to ~5400 metric tons (~12M lbf) of thrust at liftoff – more than any other rocket in history. Following Starship S20’s recent success, SpaceX has now fired six Raptors simultaneously and in close proximity without issue. However, Super Heavy B4 will have to fire 29 engines packed into roughly the same amount of space. No other liquid rocket stage in history has a more densely-packed thrust section, averaging at least 85 tons of thrust per square meter (~125 psi) of available engine space.

It’s thus likely that SpaceX will split Super Heavy B4’s first static fire campaign into several different parts, possibly involving seperate tests of the center cluster of nine Raptor Center (RC) engines and outer ring of 20 Raptor Boost (RB) engines before firing up all 29 together. Even if that testing is completed without issue on the first attempts, SpaceX will still likely want to perform a full wet dress rehearsal – and possibly even another 29-engine static fire – with Ship 20 installed on top of Booster 4.

Musk also believes that Starbase’s first orbital launch site will be complete as early as “later this month” – essential for full booster testing. Once all testing is complete, Musk says Starship, Super Heavy, and Starbase should be ready for their first orbital launch attempt as early as January or February 2022. Of course, that launch is entirely contingent upon FAA environmental approval and launch licensing, the former still incomplete and the latter unable to proceed until the former is complete. If the FAA reaches a favorable conclusion, meets its recently-announced target of December 31st to complete Starbase’s environmental review, and grants SpaceX a new launch license just days or a few weeks later, a January-February launch isn’t out of the question.

Looking further into 2022, Musk also revealed that he hopes SpaceX will complete “a dozen [Starship] launches” next year – incredibly ambitious by any measure. There isn’t a rocket in history that’s achieved double-digit launches in the same year as its debut. More importantly, even if the FAA environmental review SpaceX is in the middle of ends with the best possible outcome for Starship, it limits the company to either 3, 5, or 8 (it’s somewhat ambiguous) orbital launch attempts per year. Still, even a ‘mere’ three orbital Starship launch attempts in 2022 would be an incredible acheivement for SpaceX – let alone five, or Musk’s forecast of a dozen.

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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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