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SpaceX begins Starship launch mount installation at historic Pad 39A in Florida
At the same time as SpaceX’s Boca Chica, Texas team is working around the clock to prepare Starship Mk1 for several major tests, the company is building a second dedicated Starship launch complex at Pad 39A and as of November 4th, that construction effort has reached a symbolic milestone.
According to photos taken by local resident and famed rocket and ship photographer Julia Bergeron on a bus tour of Kennedy Space Center (KSC), SpaceX has officially begun to install a large steel structure at Launch Complex 39A, a pad the company has leased from NASA since 2014. Known as a launch mount, the massive structure will one day support SpaceX’s first East Coast Starship and Super Heavy static fires and test flights.
At SpaceX’s Boca Chica, Texas Starship facilities, the company has already made a huge amount of progress fabricating and outfitting a brand new launch mount that will soon support Starship Mk1’s first propellant loading, static fire, and flight tests. The spartan steel structure looks different from anything SpaceX has built in the past for Falcon 9 and is equally unrecognizable alongside the renders of a finished-product launch pad included in an updated Starship launch video.
What is undeniable, nevertheless, is the speed with which technicians have taken the Texas launch mount from a group of unconnected, partially-finished parts to a nearly complete structure with the business half of Starship Mk1 installed on top. SpaceX workers have built the mount, completed a large amount of plumbing to connect it to nearby liquid oxygen, methane, nitrogen, and helium reserves, and installed Starship on the mount in less than two months. The final integration of different prefabricated pieces began barely a month before Starship was moved to the pad, as pictured below.
Two pads, two approaches
Although Boca Chica’s launch mount is quite large, based on Julia’s photos of Pad 39A, Florida’s nascent launch mount is going to be significantly bigger. The section that SpaceX began installing in the first days of November appears already be much taller than the mount in Texas, and it also looks more like a rectangular corner than anything resembling part of Boca Chica’s hexagonal structure.
At the same time, the apparent rectangular corner being worked on in Florida would be a much better fit for the partially-enclosed launch mount structure shown in SpaceX’s official 2019 Starship launch video.
This is all to say that it looks like SpaceX is taking significantly different approaches with its two prospective Starship launch sites, which should come as no surprise in the context of the Starship program. SpaceX is already competitively building multiple Starship prototypes at two separate facilities in Boca Chica, Texas and Cocoa, Florida, a competition that has already produced visible differences between Mk1 and Mk2 prototypes. There’s a good chance that SpaceX intends to preserve that competitive atmosphere with Starship’s launch facilities, not just the rocket itself.
Additionally, it’s clear that Texas and Florida currently serve very different roles in the actual testing of Starship prototypes. Boca Chica has been active in that regard for more than half a year, ranging from the first Starhopper static fire in April to Starhopper’s 150-meter test flight in August. Florida has been almost entirely focused on iterating the build process itself and has already prefabricated nearly two dozen single-weld steel rings that will soon become Starship Mk4.
A step further, SpaceX CEO Elon Musk has made it clear that he is pushing for Starship’s first orbital launch to occur in the first half of 2020, an incredibly ambitious target given that the first Super Heavy booster prototype has yet to begin fabrication or assembly of any kind. Regardless, with that ambitious target in mind, SpaceX still needs to try to build a launch facility capable of standing up to a vehicle more powerful than Saturn V unfathomably quickly.
Head in the clouds
More likely than not, SpaceX’s Pad 39A Starship facilities will (attempt to) be that launch facility. An August 2019 environmental impact statement revealed that SpaceX would avoid Pad 39A’s massive flame trench and instead build a separate water-cooled thrust diverter, a technology SpaceX is extremely familiar with.
The diverter will likely have to be larger than anything SpaceX has ever attempted to build and will take a significant amount of time and money to fabricate, but the approach could potentially allow SpaceX to build Super Heavy-rated launch facilities from scratch in just 6-12 months. Put simply, however, SpaceX is not going to want to build a Starship-sized thrust diverter and launch mount in Florida if it will almost immediately have to build a second, larger replacement big enough for orbital launch attempts with Super Heavy.
All things considered, it’s thus reasonably likely that SpaceX’s first draft of Florida Starship launch facilities will immediately jump to something sized for Super Heavy static fires and launches, even if that means it will take much longer to complete. If the pace of launch pad development in Boca Chica is anything to go by, it’s entirely possible that SpaceX will go from breaking ground at Pad 39A (mid-September 2019) to a more or less complete Starship-Super Heavy launch mount in roughly half a year.
Even if it takes more than a year to build, SpaceX could still be ready to attempt Starship’s first orbital launch well before the end of 2020.
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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.
Tesla is sending out this email to New Jersey Tesla owners, warning them that NJ could block autonomous vehicles, and to take action.
“Proposed legislation moving through Trenton right now would impose restrictions so severe that true driverless deployment would remain illegal.… pic.twitter.com/2bmY646AUL
— Sawyer Merritt (@SawyerMerritt) June 16, 2026
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.
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.
Tesla urges New Jersey owners to oppose new bill that could block Robotaxi
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
