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SpaceX’s fourth Starship prototype has begun to take shape in Florida

In the center of this image, atop a newly-constructed metal-framework mount, is likely the first steel ring of Starship's Mk4 prototype. (John Winkopp - Seamore Holdings)

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SpaceX’s Florida Starship team appears to have taken the first step towards assembling Starship Mk4, the fourth full-scale prototype of the next-generation spaceship.

Although SpaceX’s Boca Chica, Texas Starship campus is undeniably in the lead with their first prototype, Starship Mk1, it appears that the company’s Florida campus is far ahead of Texas with their second Starship prototype.

At the moment, SpaceX has set up two separate Starship build teams in Florida and Texas with the intention of creating a sort of internal competition to see which group’s Starships are first to flight and first to orbit. For the most part, it’s assumed that this “competition” is less a fight to the finish line than it is an A/B test, a common software development practice in which separate teams pursue different methods of achieving the same goals.

In the likely event that SpaceX is performing a radical form of A/B testing with rocket prototypes, both teams are continuously sharing best-practices and lessons-learned as they work to find the best possible methods for fabricating hardware and assembling Starships. Nevertheless, in A/B testing, fundamentally different approaches also tend to result in development schedules and final products that are unique, even if the end results are similar.

In the context of Starship, this is exactly what can be observed at SpaceX’s Florida and Texas facilities. Similarities abound in the radical method of en plein air manufacturing being implemented, while the Starship Mk1 and Mk2 hardware being built and assembled are also relatively similar, even if they have some distinct characteristics.

For example, it’s been observed that Starship Mk2 has almost certainly been constructed out of steel rings that are significantly taller than those used to assemble Starship Mk1. Taller rings meant that Mk2 needed fewer overall rings to reach the same height as Mk1, a fact that likely contributed to the impressive speed with which SpaceX’s Florida team was able to stack and weld most of Starship Mk2’s aerostructure.

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Star(ship)fleet

According to SpaceX CEO Elon Musk, those similarities (and slight differences) are likely to continue for at least several more generations of prototypes. At a September 28th presentation and update on Starship, Musk revealed his opinion that Starship could be ready for its first orbital test flight(s) as few as six months from then – sometime in Q2 2020, give or take. To get there, Musk estimated that at least 5-6 Starship prototypes would need to be built in the interim.

Starship Mk3 will be built in Texas – in fact, the first ‘seamless’ steel ring may have already been fabricated at SpaceX’s Boca Chica facilities. According to Musk, Starship Mk4 will be SpaceX Cocoa’s second prototype. Based on John Winkopp’s October 17th drone overview, it appears that SpaceX’s Florida team has mounted the first steel Starship Mk4 ring atop a new work mount, potentially marking the start of Starship Mk4 assembly.

Although it’s unclear if this is a proof of concept or something more substantial, what could be the first seamless steel ring of Starship’s Mk3 prototype has already been bent into shape in Boca Chica, Texas. (NASASpaceflight – bocachicagal)

SpaceX’s Texas team has prepared at least one full-scale sample of a single-weld (‘seamless’) steel ring, perhaps the start of Mk1’s successor, Starship Mk3. Meanwhile, SpaceX Cocoa – seemingly at some kind of impasse with the final integration and assembly of Starship Mk2 – has churned out a huge number of similarly smooth steel rings, to the extent that Teslarati previously (and incorrectly) surmised that the first Super Heavy booster was being fabricated.

During Musk’s September 28th presentation, he effectively confirmed that the almost two-dozen steel rings hanging out on SpaceX’s Cocoa, Florida campus were almost certainly the beginnings of Starship Mk4. However, given the sheer number of rings present (23), the reality is that what could be the entirety of Starship Mk4’s cylindrical tank and thrust structure section is probably sitting outside in Florida, waiting to be stacked. Altogether, those 23 rings could reach a height of more than 40m (130 ft), potentially more than is actually needed for a Starship tank section.

Of note, it’s been observed that SpaceX’s Florida campus has begun stacking individual Mk4 rings into dual-ring assemblies, potentially halving the amount of welding that will have to be done once stacking begins in earnest. (John Winkopp – Seamore Holdings, LLC)

Last but not least, local photographer and spaceflight fan Jon Van Horne captured what looks like a new Starship tank dome in work at SpaceX’s prospective Kennedy Space Center (KSC) build site, known as Roberts Rd. Given that Starship Mk2 already has two domes installed and a third and final dome staged and ready for installation, this fourth dome is very likely the first for Starship Mk4.

https://twitter.com/therealjonvh/status/1183176543914336258

In short, SpaceX’s Florida team is probably weeks ahead of Boca Chica in the process of building a second full-scale Starship prototype. Of course, the ultimate winner of this mock competition isn’t Florida or Texas, it’s SpaceX’s Starship program as a whole.

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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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