News
SpaceX’s Crew Dragon settles on Feb 9 launch debut as Falcon 9 nears static fire
Update: NASASpaceflight.com is reporting that ISS planning documents suggest that Crew Dragon’s first launch has slipped into the second half of February, perhaps February 16th.
In the midst of several confusing delays, schedule updates, and official statements, the orbital debut of SpaceX’s Crew Dragon spacecraft has made its way onto the Eastern range’s planning schedule for the first time, placing Falcon 9 B1051’s static fire and Crew Dragons launch no earlier than (NET) January 23rd and February 9th, respectively.
As the brand new spacecraft’s first attempted trip to orbit, the demonstration mission (Demo-1/DM-1) will be performed without crew aboard, allowing SpaceX and NASA an opportunity to fully verify performance and explore Crew Dragon’s capabilities without risking the lives of the astronauts that will step inside a nearly identical vehicle as early as June or July.
Obviously preliminary, but the Eastern Range is now showing the Static Fire for the DM-1 mission's Falcon 9 (B1051.1) as NET January 23, (and still showing NET February 9 as the launch date). As always, but especially this one, all very much subject to change. pic.twitter.com/EWOEpbpI9o
— NSF – NASASpaceflight.com (@NASASpaceflight) January 17, 2019
The US government has been shut down for more than four weeks as a consequence of the inability of elected representatives to pass and sign a funding bill, now the longest shutdown in the country’s history. As a result, more than 95% of NASA’s workforce has been furloughed, leaving around 800 people left working (without pay) across the agency in positions or groups deemed absolutely essential to avoid loss of life or property damage.
How NASA defines “essential” is unknown but it seemed improbable that the Commercial Crew Program – around six months away from actually launching astronauts and presently marked by NASA’s attempts to complete reams of approval and certification paperwork – would fall under that extremely narrow umbrella. Delays to Crew launches are unlikely to harm hardware or directly risk harm to astronauts, although a very tenuous case could be made that delays to the program now would snowball and cause the debut of operational crewed launches to slip so far into 2019 (or even 2020) that NASA could lose assured access to the International Space Station (ISS) for several months. Again, there is no obvious way that a slip like that would actually increase the risk to life or limb for astronauts and hardware/infrastructure.
Apparently, Demo-1 and 2 don't need FAA launch licenses (under auspices of NASA, like TESS launch. Post-certification missions will require FAA license, like CRS flights today
— Irene Klotz (@Free_Space) January 16, 2019
Despite the logical improbability that NASA’s Commercial Crew Program (CCP) would – at this point in time – remain operating at full capacity during an extended government shutdown, NASA provided a statement to The Atlantic earlier this week more or less implying that CCP was deemed essential and has continued to operate for the last several weeks. There is certainly some wiggle room in NASA spokesman Bob Jacobs’ comments, enough to make it ambiguous if they are primarily PR spin, frank honesty, or something in between.
A SpaceX spokesperson added [paraphrased by The Atlantic] that “if NASA made the call, the company would carry out the uncrewed [DM-1] launch”, a tactical nonanswer that redirects the impetus to NASA. It’s not clear if the people at NASA that would ‘make the call’ to launch are furloughed or not – they certainly would not be essential in the sense described by NASA’s own overview of the current shutdown’s impact. Originally targeting a launch sometime in mid to late January, an official NASA update posted on January 10th showed that Crew Dragon’s first launch had slipped into February (on the launch range for February 9th).
- DM-1 and Falcon 9 were greeted by an extraordinary – albeit mildly bittersweet – dawn during their first-ever trip out to Pad 39A. (SpaceX)
- The integrated DM-1 Crew Dragon ‘stack’ rolled out to Pad 39A for the first time in the first few days of 2019. (SpaceX)
- Falcon 9 B1051 and Crew Dragon vertical at Pad 39A. (SpaceX)
- Crew Dragon shows off its conformal (i.e. curved) solar array while connected to SpaceX’s sleek Crew Access Arm (CAA). (SpaceX)
- DM-2 astronauts Bob Behnken and Doug Hurley train for their first flight in Crew Dragon. (NASA)
“NASA and SpaceX are now targeting no earlier than February for the launch of Demo-1 to complete hardware testing and joint reviews.” – NASA, 01/10/2019
“Hardware testing” likely refers to the need for Falcon 9 to complete a static fire at Pad 39A, a test now scheduled for January 23rd. It’s ambiguous whether SpaceX can actually perform a static fire test – a complete launch rehearsal involving full propellant loads and the ignition of all nine Merlin 1D engines – at Kennedy Space Center, a NASA operated with federal funding that does not currently exist. Although the Air Force-helmed range is operating at a normal capacity, KSC must still perform a number of basic tasks ranging from infrastructure maintenance to roadblock setup to allow a static fire test – let alone a launch – to occur. I
f SpaceX completes its NET January 23rd static fire with no problems, then it would appear to be the case that some sort of SpaceX-side delay – perhaps augmented or slowed down by NASA operating at 5% capacity – caused the slip from mid-January to mid-February. Stay tuned to find out!
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.





