Connect with us

News

SpaceX’s first orbital Starship launch runs into more FAA delays

Published

on

The US Federal Aviation Administration (FAA) says it’s at least two months behind schedule on an environmental review that must be completed before SpaceX will be allowed to attempt the first orbital Starship launch attempts.

In mid-November, the FAA revealed plans to complete SpaceX’s “SpaceX Starship/Super Heavy Launch Vehicle Program” programmatic environmental assessment (PEA) – a review that can be built upon down the road – by December 31st, 2021, officially delaying Starship’s first orbital launch attempt into 2022. Based on the lack of updates from the FAA and progress with the Starship and booster assigned to the mission, that delay was already largely expected, but the rare update nonetheless confirmed it with certainty. Now, less than a month and a half after the FAA announced its Dec 31st target, the agency has waited until three days before that estimated deadline to announce that it will take at least two more months to complete the review.

Somewhat insultingly, in its official statement on the delay, the FAA appears to attempt to implicate the review of “over 18,000 public comments” received during a comment period as a source of those delays. That six-week comment period ended on November 1st, weeks before the FAA published its first December 31st target date. In other words, for comment reviews to be responsible for any of the new delays, the FAA’s environmental compliance group would have had to underestimate the amount of work required to complete that process by at least 100% – not all that encouraging for an agency in which precision and accuracy are of the utmost importance.

“The FAA plans to issue the Final Programmatic Environmental Assessment (PEA) for the SpaceX Starship / Super Heavy project on Feb. 28, 2022. The previous target date was Dec. 31, 2021.

Under the oversight of the FAA, SpaceX is currently drafting responses for the over 18,000 public comments received on the Draft PEA and continues to prepare the Final PEA for the FAA’s review and acceptance. In addition, the FAA is continuing consultation and coordination with other agencies at the local, State and Federal level.

The environmental review is just one part of the FAA commercial space licensing process.  SpaceX’s license application must also meet FAA safety, risk and financial responsibility requirements.”

The real delays, which the FAA acknowledges in much less detail, are likely the result of “continuing consultation and coordination with other agencies at the local, State, and Federal level [sic].” In the FAA’s defense, some of those delays may technically be out of its control if slow responses from other agencies are partly to blame. Nonetheless, it was the FAA’s decision to wait from November 2020 to June 2021 to actually proceed with SpaceX’s Starship environmental assessment, which the company officially began drafting in March 2021.

Had the FAA started work on the PEA in earnest several months prior, which appears to have been well within its power, SpaceX’s extremely limited orbital Starship PEA might already be complete, allowing the agency to begin ensuring that SpaceX “meet[s] FAA safety, risk and financial responsibility requirements.” If the process of securing a limited license for far less risky suborbital Starship launches is anything to go off of, securing a similar license for orbital Starship launches with 10-20 times the explosive potential could be an agonizing months-long ordeal. It’s ambiguous if the FAA is already deep into that process or if it’s waiting for a complete, approved PEA to begin work on Starship’s first orbital launch license.

Super Heavy B4 and Starship S20 (center) have had exceptionally long and slow test campaigns relative to past prototypes. Booster 4 remains weeks to months away from flight readiness and Ship 20’s status – while much better – is still unclear. (NASASpaceflight – bocachicagal)

Regardless, the fact remains that it’s no longer clear if the FAA’s delays or poor schedule estimates will actually delay Starship’s first orbital launch attempt. Originally said to be no earlier than July 2021 and almost every subsequent month since by Elon Musk, the CEO’s most recent estimate was January or February 2022. According to a relevant NASA research project published a month prior to Musk’s estimate, the space agency anticipated Starship’s orbital launch debut no earlier than March 2022. Now that the FAA doesn’t expect to complete Starship’s orbital-class PEA before February 28th, 2022, March or April 2022 appears to be a more accurate NET.

That will give SpaceX another three months at minimum to – just maybe – finally complete Super Heavy B4’s aft assembly, qualify and fill the methane side of Starbase’s orbital-class tank farm, perform several unprecedentedly ambitious wet dress rehearsals and static fires, really make sure Ship 20 is ready for flight, and activate the orbital launch tower’s massive ‘chopstick’ arms – meant to eventually catch rockets out of the air but also necessary for SpaceX to install Starship on top of Super Heavy.

Advertisement
-
-

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.

Advertisement
Comments

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.

Published

on

By

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.

Continue Reading

News

Tesla Cybercab launch preparations have begun

Published

on

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.

Continue Reading

Elon Musk

Elon Musk says he ‘hopes AI is nice to us’

Published

on

elon musk
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.

Continue Reading