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SpaceX’s fourth Falcon booster delivery this year hints at rare production uptick

A mystery Falcon 9 booster was spotted at SpaceX's HQ on July 18th and again on its way to McGregor, Texas on the 21st. (Kolby Ratigan)

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For at least the fourth time in 2021, SpaceX has shipped a new Falcon booster from its Hawthorne, California headquarters and factory to an expansive test and development campus in Central Texas.

By all appearances, SpaceX’s latest delivery could imply that the company is on track to experience its first Falcon booster production uptick in four years. Thanks almost exclusively to the overwhelming success of Falcon reusability, SpaceX has been decreasing booster production year over year since 2017 while (on the whole) still significantly increasing its annual launch cadence. However, that downward booster production trend may have finally come to an end in 2021.

On July 21st, spaceflight journalist Eric Berger spotted a SpaceX Falcon booster – almost impossible to miss on the road – traveling eastbound towards El Paso on a Texas highway. Designed from the start with a maximum diameter (3.6m/12′) explicitly limited to allow Falcon 9 and Falcon Heavy stages to be easily and cheaply transported by road, SpaceX has taken advantage of that capability by making Falcon rockets some of the most extensively tested launch vehicles on Earth.

Most notably, every single Falcon 9 and Falcon Heavy booster and upper stage SpaceX has ever built at its Hawthorne HQ has shipped to McGregor, Texas for qualification testing before being cleared to launch. The exact nature of that qualification testing is unknown but, at minimum, every SpaceX-built stage must eventually complete a clean static fire test before the company deems it qualified for flight and ships it to one of three launch pads.

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Before integrated static fire testing, SpaceX also separately tests every single Merlin 1D, Merlin Vacuum, Draco engine, and cold gas thruster before they’re installed on their respective Falcon first stage, second stage, fairing, or Dragon spacecraft back in California. However, Falcon engines, fairings, second stages, and Dragon spacecraft are all small or well-packaged enough to be unassuming on the road. Only Falcon boosters – measuring some 4m (~13 ft) wide and 56m (~190 ft) long and usually wrapped in solid white or black plastic – are routinely spotted in the wild by members of the public.

Those regular public spottings provide the only real glimpse available behind the curtain of SpaceX’s prolific rocket production. Beyond a mishmash of observations from members of the public and the occasional tidbit from CEO Elon Musk, SpaceX – a private company in a very competitive industry – provides no official information about how many Falcon stages it produces each year. That leaves it up to unaffiliated fans to collate and track that activity.

In particular, one Reddit user went to the effort of combing through a decade of those observations to tabulate SpaceX’s annual Falcon first stage production – including Falcon 9 and Falcon Heavy boosters – since 2010. From 2010 to 2017, booster production consistently grew year over year, ultimately peaking at 13 – more than one booster per month – in 2017. Since 2017, booster production has consistently declined, dropping to just five boosters completed in 2020 – the lowest figure since 2013.

Of course, despite building just five new boosters in 2020, SpaceX completed a record 26 Falcon 9 launches, demonstrating just how much of a paradigm shift booster reusability has been for the company. Notably, while booster production has drastically decreased, SpaceX still has to manufacture a new expendable upper stage for every Falcon launch, meaning that – for the most part – Hawthorne is likely as busy as – and soon to be busier than – it was around the 2016-2018 peak.

In a bit of twist, though, that booster production downtick may have bottomed out in 2020. Since May 2020, SpaceX appears to have shipped at least 8 or 9 boosters* from Hawthorne to McGregor. Less than a month ago, a new booster – believed to be Falcon 9 B1069 – went vertical in McGregor ahead of its first wet dress rehearsal and static fire. Less than three weeks later, another new Falcon booster was spotted ready for transport outside of Hawthorne – likely the same booster spotted on its way to McGregor on July 21st.

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*Including F9/FH boosters B1061, B1062, B1063, B1064, B1065, B1066, B1067, and B1069

In 2021, SpaceX has delivered one Falcon Heavy (likely B1066) and two Falcon 9 boosters (B1067 and B1069) to McGregor. The mystery booster seen in Hawthorne on July 18th – now likely inside a McGregor hangar as of publishing – is the fourth Falcon first stage to roll out of Hawthorne this year. If SpaceX maintains that average over the next five months, it could ship 6 or even 7 Falcon boosters in 2021 – marking the first apparent production uptick since 2017.

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 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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Apple is developing the missing link for Tesla to get CarPlay: report

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Credit: Michał Gapiński/YouTube

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.

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