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SpaceX Starlink launch ambitions just saved a space station resupply mission from bigger delays

Thanks to SpaceX's ambitious 2020 launch cadence, the latest Cargo Dragon mission has only been delayed a few days by the need to replace the rocket's second stage. (Richard Angle)

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SpaceX’s ambitious 2020 Starlink launch goals have unintentionally saved a Cargo Dragon spacecraft mission from much longer delays after a major part of its Falcon 9 rocket had to be replaced at the last second.

Known as SpaceX’s 20th NASA Commercial Resupply Services (CRS-20) mission, SpaceX’s Cargo Dragon spacecraft was initially scheduled to launch supplies to the International Space Station (ISS) as early as March 2nd, 2020, a date that recently slipped four days to 11:50 pm EDT (04:50 UTC), March 6th. Simultaneously, a separate Falcon 9 Starlink mission – assigned to a different launch pad – found itself delayed from March 4th to March 11th.

A day or so after news of the CRS-20 launch delay first broke, NASA published a blog post noting that SpaceX had taken the extraordinary step of fully replacing the mission’s Falcon 9 second stage, the part of the rocket (pictured underneath Dragon in the photo above) tasked with taking payloads from the edge of space into Earth orbit (or beyond). Triggered by a faulty component in its space-optimized Merlin Vacuum engine, the fact that SpaceX chose to replace the upper stage and still only delayed CRS-20’s launch by four days suggests that its ambitious Starlink launch plans are already creating positive side effects for commercial customers.

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The last Cargo Dragon (Dragon 1) capsule expected to launch was likely shipped to Florida earlier this month. (SpaceX)

As of late, multi-day hardware-related launch delays have been rather rare for SpaceX, who has instead suffered numerous weather-related scrubs over the course of completing its Fall 2019 and Winter 2020 launch manifest. SpaceX’s February 17th Starlink-4 mission did suffer a minor second stage valve-related delay that was fixed in about 24 hours, but things have otherwise been quite smooth for Falcon 9.

Given all that goes into building and testing Falcon 9 second stages, there are very few good explanations (aside from pure luck) that would allow for a given SpaceX launch to entirely replace its assigned second stage a week before liftoff and only slip a handful of days. Nevertheless, with CRS-20, SpaceX is attempting to do exactly that.

“SpaceX identified a valve motor on the second stage engine behaving not as expected and determined the safest and most expedient path to launch is to utilize the next second stage in line that was already at the Cape and ready for flight. The new second stage has already completed the same preflight inspections with all hardware behaving as expected. The updated target launch date provides the time required to complete preflight integration and final checkouts.”

NASA.gov — February 25th, 2020

A Falcon 9 second stage coasting in orbit during SpaceX’s May 2019 Starlink v0.9 mission. (SpaceX)
Falcon 9 has won a contract launch what will likely be a rideshare mission - featuring the Nova C Moon lander - in July 2021. (SpaceX)
A render of a Falcon second stage’s Merlin Vacuum (MVac) engine burning towards orbit as its payload fairing is jettisoned. (SpaceX)

The specific lead times SpaceX’s Falcon rocket family parts require is almost totally unknown but it’s safe to say that the process of building a Falcon upper stage from scratch, performing acceptance testing in Texas, and shipping said stage to the launch pad takes months from start to finish. For SpaceX to be able to attempt to minimize CRS-20’s delays to just four days while still fully swapping out its upper stage, the company would have quite literally had to have had another Falcon stage just sitting around in Florida.

As it turns out, per NASA’s official statement, that is precisely what transpired. A separate second stage was already in Florida and “ready for flight”, giving SpaceX the luxury of selecting the safest option theoretically available. Beyond the hardware already being ready to go in Florida, the stage reassignment almost certainly also hinged upon the mission it was assigned to being somewhat nonessential – a label that SpaceX would be hard-pressed to affix to any of its customers’ launches. An internal Starlink mission, however, would be a perfect opportunity, allowing SpaceX to avoid both picking favorites and seriously impacting (aside from the ~4-day CRS-20 delay) its paying customers.

Pictured landing in July 2019 after its second launch, Falcon 9 booster B1056 - now on its fourth launch - is set to break a crucial reusability record. (SpaceX)
Falcon 9 booster B1059.2 is expected to attempt SpaceX’s first land landing zone recovery of 2020 after launching CRS-20. (SpaceX)

To be clear, SpaceX was thus able to swap out CRS-20’s upper stage at the last second with only a minor schedule impact almost exclusively because of it’s ambitious plans for 20-24 Starlink launches this year. If the company wasn’t pursuing a more than biweekly 2020 launch cadence, it’s much more likely that CRS-20 would have had to make do with its second stage or wait for a new one to be built, potentially delaying the launch by one or two weeks, if not longer.

In simple terms, the launch cadence SpaceX is targeting (and needs) for its Starlink constellation is already exhibiting signs of a future where its high-performance orbital-class rockets have been almost entirely commodified.

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

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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.

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

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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.

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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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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.”

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.

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