Connect with us

News

SpaceX Falcon 9’s next major US Air Force launch slips into early 2020 ahead of busy Q4

Falcon 9 B1054 prepares the SpaceX's first major USAF launch and Block 5's first expendable mission. The next mission is now NET January 2020. (SpaceX/USAF)

Published

on

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.

Lockheed Martin’s GPS Block IIIA assembly line. (USAF)

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.

Falcon 9 B1054 lifts off on SpaceX’s first major USAF launch in December 2018. (Tom Cross)

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.

A general overview of Starlink’s bus, payload stacking, and solar arrays. (SpaceX)
60 Starlink satellites were successfully launched in May 2019 in an incredibly ambitious beta test for the SpaceX constellation. 50 satellites have successfully reached their final orbits, two are intentionally being deorbited, and the remaining 8 are still climbing the gravity well. (SpaceX)

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.


LaunchDate (No Earlier Than)
Starlink 1October 17th
Starlink 2November 4th
Crew Dragon – In-Flight AbortNovember 11th
ANASIS-II – South KoreaNovember – TBD
JCSat-18/Kacific-1November – TBD
Cargo Dragon CRS-19December 4th
Sirius XM-7 (SXM-7)Q4 2019 – TBD
Crew Dragon – Demo-2December – 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.

Advertisement

Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.

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.

Advertisement
Comments

Elon Musk

The Boring Company just doubled its tunneling power in Nashville

The Boring Company’s Prufrock MB2 is commissioned and ready to mine beneath Nashville’s streets.

Published

on

By

boring-company-prufrock-1-2

The Boring Company’s second tunnel boring machine, Prufrock MB2, is officially ready to dig in Nashville. The company confirmed the news on X, posting: “Prufrock-MB2 is ready to mine in Nashville! MB2 commissioning is complete, including the brief 11 rpm rotation shown here. Will MB2 catch up to MB1, who had quite the head start? And Prufrock-MB3 ships in August!”

MB2 arrives with meaningful improvements over its predecessor. Lessons learned from the launch and operation of MB1 have already been applied to MB2 to improve efficiency and prepare the machine for launch.

Traditional tunnel boring machines operate in a stop-and-go cycle, digging roughly five feet, halt, erect precast concrete segments to line the tunnel wall, then resume. That repeated interruption is one of the main reasons conventional tunneling is slow and expensive. Prufrock is designed to install the tunnel liner simultaneously with mining, eliminating the need to stop every five feet. The machine also skips the need for excavated launch pits. Prufrock arrives on a truck, tilts down, and launches into the ground within 24 hours. And when the tunnel is complete, it emerges from the ground and drives to its next launch site on a trailer, eliminating the need for expensive cranes or pit excavation. The machine is also fully electric and runs with zero people in the tunnel during normal operations, controlled remotely from a surface operations center.

It won’t be long before we hear of another major update on The Boring Company’s Music City Loop project – a planned underground transit network beneath Nashville that would move passengers in electric vehicles through a series of tunnels at highway speeds, and bypassing surface traffic entirely. Nashville was selected in part because of its strong rock conditions that suits the Prufrock machines well, and relatively less regulatory hurdles.

Progress has been steady on multiple fronts. All 37 permits and approvals required ahead of tunneling have been obtained, out of 45 total. Key wins include a fully executed TDOT tunnel permit authorizing 25 miles of tunnel, unanimous airport authority approval for a Nashville International Airport station, and the city’s first residential station agreement serving downtown tower residents.

With MB1 already tunneling, MB2 now commissioned, and MB3 shipping in August, Nashville is becoming something of a live proving ground for scaled tunnel boring. The broader ambition is not limited to one city. The Boring Company’s stated goal is to make underground transportation a practical alternative to surface roads across major metro areas. Nashville is one of many cities, including a successful Las Vegas tunnel system, where that idea is being put to the test at real speed.

Continue Reading

News

Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

Published

on

Credit: Grok

Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.

The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.

According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.

Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.

The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.

In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.

Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.

In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.

Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.

Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.

This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.

As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.

Continue Reading

News

Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

Published

on

Credit: TESLARATI

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.

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.

Continue Reading