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SpaceX rapidly tests, ships Falcon 9 second stage for next NASA astronaut launch
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.
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.
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.
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.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
