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SpaceX’s Crew Dragon settles on Feb 9 launch debut as Falcon 9 nears static fire

DM-1 and Falcon 9 were greeted by an extraordinary - albeit bittersweet - dawn during their first-ever trip out to Pad 39A. (SpaceX)

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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.

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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.

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.

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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).

 

“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!


Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes!

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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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Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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