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SpaceX Falcon 9’s next major US Air Force launch slips into early 2020 ahead of busy Q4
According to an August 20th update from the US Air Force’s Space and Missile Systems Center (SMC), SpaceX’s next dedicated USAF launch – the third completed GPS III spacecraft – has slipped one month and is now scheduled no earlier than (NET) January 2020.
Known as GPS III Space Vehicle 03 (SV03), SpaceX’s next US military launch will follow just a few months after United Launch Alliance (ULA) is set to launch GPS III SV02, scheduled to lift off at 9am EDT, August 22nd. SpaceX kicked off the lengthy GPS III launch campaign in December 2018, successfully placing the ~3900 kg (8600 lb) communications and geolocation spacecraft into a transfer orbit. The mission also marked SpaceX’s first intentionally expendable Falcon 9 Block 5 launch, a trend that may or may not continue with the company’s next GPS launch.
Known as GPS Block IIIA, SV01-03 are the first three of a batch of 10 spacecraft total, produced by Lockheed Martin for an anticipated cost of roughly $600M apiece. The US Government Accountability Office (GAO) expects [PDF] little to no cost savings per unit for Block IIIA’s follow-up, Block IIIF, in which 22 additional GPS III spacecraft will be built to fully upgrade the military’s GPS constellation. GAO estimates that those 22 satellites – likely to also be built by Lockheed Martin – will cost an incredible $12B, or ~$550M apiece.
On the scale of the US military’s woefully inefficient space procurement apparatus, ~$600M per satellite is sadly a pretty good deal. Two equally modern USAF satellite acquisition programs – the Advanced Extremely High Frequency (AEHF) and Space-Based Infrared System constellations – have both surpassed their initial cost estimates by more than a factor of two. Over the entire program, GAO estimates that six AEHF satellites no less than $3 billion each, while SBIRS is in even worse shape with six new satellites expected to cost $3.2 billion apiece.
Meanwhile, the Raytheon-built ‘OCX’ ground systems needed to take advantage of the ~$19B GPS III satellite upgrades has been just as much of an acquisition boondoggle, nearly doubling in cost over the last few years, bringing its final cost to no less than $6.2B after years of delays. All told, completing the upgraded GPS III constellation can be expected to cost a bare minimum of $25B. This cost doesn’t even include launches, but the cost of launching all the spacecraft is – in a rare instance – going to be a small fraction of the overall acquisition, perhaps $3-4B for all 32 satellites.
Regardless of the nightmarish costs and general inefficiency, Lockheed Martin and the USAF continue to slowly march towards initial GPS III operability. August 22nd’s ULA launch and January 2020’s SpaceX launch will take significant steps towards that capability, and will – with any luck – be followed by an additional two Falcon 9 GPS III launches in 2020. Six of ten IIIA satellites have already had launch contracts awarded, five of six of which were awarded to SpaceX.
End-of-year fireworks
GPS III SV03’s slip from December 2019 to January 2020 comes as plans for an ambitious final quarter have begun to take shape for SpaceX. Oddly, SpaceX is currently going through more than two months of downtime between its most recent launch (AMOS-17, August 6th) and its next mission (Starlink 1, NET late October). This will be the longest SpaceX has gone without launching since a catastrophic Falcon 9 failure grounded the company’s launch operations from September 2016 to January 2017.
By all appearances, customers’ payloads just aren’t ready, while SpaceX’s own Starlink constellation team is hard at work updating the satellite design and preparing for two back-to-back launches as early as October and November, potentially placing 120 high-performance satellites in orbit.
Aside from two Starlink launches scheduled in late-October and November, SpaceX has at least six other missions that could potentially launch in Q4 2019.
| Launch | Date (No Earlier Than) |
| Starlink 1 | October 17th |
| Starlink 2 | November 4th |
| Crew Dragon – In-Flight Abort | November 11th |
| ANASIS-II – South Korea | November – TBD |
| JCSat-18/Kacific-1 | November – TBD |
| Cargo Dragon CRS-19 | December 4th |
| Sirius XM-7 (SXM-7) | Q4 2019 – TBD |
| Crew Dragon – Demo-2 | December – TBD |
A lack of updates from Sirius XM and the fact that Crew Dragon’s Demo-2 launch will rely entirely upon the successful completion of its prior In-Flight Abort (IFA) mean that both will very likely slip into 2020. The remaining six launches, however, have a very decent chance of launching in 2019, assuming everything goes perfectly during satellite, Falcon 9, and launch pad pre-flight preparations.
SpaceX has successfully completed six launches in three months several times before, so six launches in Q4 2019 is entirely achievable, even if a pragmatist would do well to expect additional delays into 2020.
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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
