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SpaceX’s backup Dragon launch pad on track for 2023 debut

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SpaceX has begun building a backup launch pad for its Cargo and Crew Dragon spacecraft and says the facility could be ready for use as early as fall 2023.

Reuters first revealed those plans in June 2022. They arose because NASA reportedly told SpaceX it was worried that the company’s first Florida Starship launch site – colocated at the only pad currently able to launch SpaceX Dragon spacecraft – could add too much risk. In September 2022, NASA and SpaceX acknowledged plans to modify LC-40 for Dragon launches and indicated that both parties had decided to proceed.

Four months later, SpaceX and NASA have provided another press conference update. Officials confirmed that construction is already partially underway and reported that LC-40 could be ready to support its first Dragon launch less than a year from now.

Because Boeing’s comparable Starliner capsule is years behind schedule and still unqualified to launch humans, NASA has relied almost exclusively on SpaceX’s Crew Dragon to launch its astronauts to the International Space Station (ISS) since 2020. Starliner should be ready to supplement Crew Dragon’s operational astronaut launches by the end of 2023 or early 2024, alleviating some of that pressure.

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NASA, however, chose to develop two spacecraft to guarantee that one spacecraft would likely be available if the other was grounded for any reason. Adding the possibility that a giant, new, experimental rocket (Starship) could potentially halt all SpaceX Dragon launches in one fell swoop was apparently one bridge too many for the agency.

LC-40 has supported 9 launches in the last 8 weeks. (Richard Angle)

SpaceX’s answer to the problem was about as simple, elegant, and cheap as possible. The company has two operational Falcon launch pads in Florida, and it proposed to modify the second pad. SpaceX’s Cape Canaveral Space Force Station (CCSFS) LC-40 pad is located on a secure military base and has an even longer history of successful Falcon 9 launches than Pad 39A. It also appears that its layout will allow SpaceX to add a Dragon access tower without requiring major redesigns or months of downtime.

LC-40 is SpaceX’s most productive launch pad by far, and the company intends to launch up to 100 times in 2023. It’s thus crucial that the pad remains as active as possible as it’s modified – a major challenge. A combination of luck and the fact that the launch pad is already operational is the only reason that’s possible.

Modifying SpaceX’s busiest pad

In theory, SpaceX needs to do relatively little to enable Dragon launches out of LC-40. Dragon spacecraft are processed for flight at a separate facility and only head to the pad once they’re ready to be attached to a Falcon 9 rocket. The biggest modification LC-40 needs is a launch tower, but SpaceX ironically has experience building giant towers in sections – and offsite – through Starship.

LC-40’s Dragon access tower requires far less complex plumbing and should be smaller and easier to prefabricate and assemble. Regulatory documents indicate that the new tower will stand 81 meters (265 feet) tall – almost a third shorter than the 110-meter-tall tower SpaceX modified at Pad 39A for the same purpose. LC-40 will also need a swinging access arm to connect the tower to Dragon’s hatch. That arm can also be constructed offsite, further reducing the amount of downtime required.

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The top half of the LC-40 T/E visible here is clearly connected by removable bolts, likely making the process of modifying the pad to support Dragon launches much less disruptive than it could have been. (Richard Angle)

The most disruptive modifications may involve LC-40’s transporter/erector (T/E) device, which rolls Falcon 9 out to the pad, raises it vertical, holds it down with giant clamps; and hosts a maze of plumbing that fuels, pressurizes, and powers the rocket. The top of LC-40’s T/E is fitted with a brace designed to support Falcon payload fairings. In comparison, 39A’s T/E was designed with swappable ‘heads’ that allow SpaceX to switch between Dragon and fairing configurations in a matter of days. The top of LC-40’s T/E also appears to be somewhat removable, but SpaceX may still have to halt launches for a few weeks to get the T/E up to spec and modified for Dragon.

SpaceX says that LC-40 will be ready to support its first Dragon launch as early as fall (Q4) 2023. Its first Dragon mission will carry cargo to the ISS, meaning that the tower, arm, and pad will not need to be immediately human-rated. In theory, SpaceX could even launch Cargo Dragon 2 from LC-40 without a tower or arm, as the only purpose of the tower during uncrewed missions is to load volatile cargo at the last possible second. SpaceX could even revert to a practice that dates back to its original Dragon 1 spacecraft and devise a method to late-load cargo while Falcon 9 and Dragon are still horizontal.

Starship is nine times as heavy and almost twice as tall as Falcon 9. (SpaceX)

The tower and access arm are only essential for Crew Dragon launches, during which astronauts must board the spacecraft a few hours before liftoff. More importantly, the same arm and tower would be used to escape Dragon and Falcon 9 in case of a minor emergency. NASA requires an escape (egress) system to human-rate a launch pad and rocket. SpaceX met that requirement at Pad 39A with a “slidewire basket” system that carries astronauts to a concrete bunker several hundred feet away from the rocket. Before LC-40 can be human-rated, SpaceX will likely need to build the same basket-and-bunker system or come up with a viable alternative.

Once complete, SpaceX will have two pads capable of supporting all Crew and Cargo Dragon launches. With that redundancy in place, NASA should be far more open to regular launches of SpaceX’s next-generation Starship rocket out of Pad 39A. Access to multiple pads will likely be essential for Starship to complete NASA’s Human Landing System (HLS) contracts, which will culminate in the giant rocket sending humans back to the Moon for the first (and second) time in half a century in the mid-to-late-2020s.

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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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.

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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.

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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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