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SpaceX rapidly tests, ships Falcon 9 second stage for next NASA astronaut launch

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SpaceX has shipped, tested, and delivered the new Falcon 9 upper stage tasked with carrying the company’s next Crew Dragon astronauts to orbit as early as October 30th.

Offering rare insight into the kind of timelines and margins SpaceX operates on for even its most important missions, a Falcon upper stage bearing NASA’s ‘worm’ logo and ‘meatball’ insignia was spotted by a local resident and photographer on October 2nd. Thus far, the only SpaceX rockets that have flown with NASA iconography are those supporting Crew Dragon launches, making them a dead giveaway for Crew Dragon launch hardware.

After Demo-2, SpaceX’s May 2020 astronaut launch debut, the company moved those decals from Falcon 9’s booster – liable to fly any number of non-NASA missions later in life – to each NASA crew mission’s expendable Falcon second stage (S2). Since then, Crew-1 (November 2020) and Crew-2 (April 2021) have both launched with NASA logos on their second stages and Crew-3 now looks set to continue that tradition.

A new Falcon upper stage bearing NASA insignias was first spotted in Texas on October 2nd.
Less than two weeks later, that same upper stage may have arrived in Cape Canaveral, Florida.

Thanks to the watchful eye of local resident turned SpaceX fan Reagan Beck, it was actually possible to identify Crew-3’s Falcon 9 upper stage as soon as it was spotted at the company’s McGregor, TX development and testing facilities on October 2nd. While there was technically a tiny chance that it could be for one of several upcoming NASA spacecraft launches or even for Crew Dragon’s April 2022 Crew-4 mission, the likeliest destination by far for the NASA-branded Falcon S2 was Crew-3.

Due partially to the fact that Falcon booster qualification testing typically takes McGregor at least two or so weeks but mainly to the seemingly razor-thin schedule margins it would imply, there was some understandable skepticism that the upper stage was bound to launch Crew-3 just four weeks after it was first spotted. Moreso, Crew Dragon typically rolls out to the launch pad on Falcon 9 at least 5-7 days before launch to allow extra time for an integrated static fire, final checkouts, and a ‘dry dress’ practice runs for each mission’s crew.

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Further, even after completing static fire qualification testing in McGregor, Crew-3’s Falcon stage would still need to be packaged up, transported more than a thousand miles by road, carefully unpackaged at a SpaceX launch site or hangar, outfitted with a Merlin Vacuum nozzle extension, installed on the mission’s Falcon 9 booster, and mated to Crew Dragon itself before that pad rollout can occur. In other words, rather than Crew-3’s exact October 30th launch date, the mission’s upper stage would likely need to arrive at SpaceX’s Kennedy Space Center (KSC) Pad 39A launch facilities at least 9-10 days before launch.

Realistically, that means that from the moment the NASA-branded upper stage first spotted on a McGregor test stand, it had maybe two weeks to complete qualification testing and ship out to Pad 39A. With practically no context, that seemed like a stretch at the time – particularly for a single-engine Falcon second stage explicitly tasked with safely delivering four astronauts to orbit. In reality, McGregor’s Falcon S2 testing is apparently far faster than booster testing and the presumed Crew-3 stage seemingly passed qualification testing and vacated the test stand less than five days after it was installed.

In theory, that left the McGregor team about a week to complete post-test inspections, clean the interior of its propellant tanks, and prepare the stage for the last leg of its journey to Florida. SpaceX seemingly managed that without issue and a new Falcon upper stage potentially meant for Crew-3 was spotted in Florida just a few miles away from a SpaceX launch site on October 14th.

However, per additional photos and reports from Reagan, McGregor’s second stage test team has been incredibly busy over the last month or so. Prior to the Crew-3 stage’s arrival, another second stage completed qualification testing between September 21st and 28th. Crew-3’s S2 was installed on October 2nd and removed by the 7th. Wasting no time, another second stage was installed on the same stand on October 10th and apparently completed testing by the 13th – equivalent to a new upper stage qualified every week. Even if the Falcon stage that arrived at Cape Canaveral on October 14th isn’t Crew-3’s, then, Crew-3’s can’t be far behind.

The first orbit-ready Crew Dragon spacecraft stands beside its human-rated Falcon 9 rocket (upper stage included) in December 2018. (SpaceX)

Ultimately, SpaceX appears to be testing and shipping one of two integral Falcon 9 stages for a crucial, schedule-sensitive NASA astronaut launch with schedule margins measured in hours or single-digit days. That’s a far cry from competitors Arianespace and ULA and even NASA itself, which generally deliver flight hardware months in advance. Eleven years since Falcon 9’s launch debut, every Falcon second stage that has made it through stage separation – 127 of 127 – has successfully ignited its Merlin Vacuum engine one or several times and delivered its payload(s) to the correct orbit(s). Well over half of those successful launches were completed in the last three and a half years – and with the same Falcon 9 upper stage variant now routinely tasked with carrying astronauts to orbit.

In other words, delivering a NASA Crew mission’s Falcon second stage less than two weeks before the assembled rocket is scheduled to roll out to the launch pad may seem a tad reckless, it’s more likely that it’s evidence of SpaceX’s second stage build/test teams and facilities operating as an incredibly reliable, well-oiled machine.

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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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