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SpaceX’s massive Falcon Heavy rocket aims for December 29 inaugural launch

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Based on information released by NASASpaceflight.com, a highly reliable source of insider details, SpaceX’s first Falcon Heavy rocket could roll out to the LC-39A launch pad before the end of November, less than a month away. While the first roll-out (or two) will be dedicated solely to “Wet Dress Rehearsals” (WDR), this will be the first time the iconic vehicle makes it to the pad, and will be a historic event regardless of what follows.

No earlier than (NET) “late-November”, the first WDR will see Falcon Heavy go through the usual motions of propellant loading while also conducting an array of systems checks and validations to verify that things are proceeding as expected. This first test will not culminate in any sort of hot-fire, and is more intended to verify that the massive rocket is playing well with the modifications made to the launch pad and the Transporter/Erector/Launcher (TEL) that carries it from the integration facilities to the pad. If major issues come up, they will be dealt with and followed by a second identical WDR. If there are no issues with the first WDR, the second rehearsal could smoothly morph into the first static fire of the integrated vehicle.

As Chris Gebhardt of NSF discusses in some detail, the first Falcon Heavy static fire(s) conducted at LC-39A will be of groundbreaking importance, as SpaceX is currently unable to test fully-integrated Falcon Heavy vehicles at its McGregor, Texas facilities due to the rocket’s sheer power. A lot, thus, rests on these first static fires, currently scheduled to begin around December 15th.

Falcon Heavy and Dragon 2 could one day enable circumlunar space tourism. (SpaceX)

Given the distinctly experimental nature of Falcon Heavy’s inaugural launch, specific dates are best taken as general placemarkers, and the actual dates of the first flow depend entirely upon the tests that precede each subsequent step. Nevertheless, the dates provided by NASASpaceflight point to Falcon Heavy’s first static fire on December 15th, followed two weeks later by a tentative launch date of December 29th.

Staying focused on Mars: Is Falcon Heavy necessary?

Even an uncertain launch date of that specificity is still a historic event for Falcon Heavy, long lampooned and straw-manned as an example of SpaceX’s silly pie-in-the-sky claims and Elon Musk’s oversimplification of complex engineering tasks. There is a grain of truth to such contentions, but they tend to miss the point by huge margins. The actual market for mid-level heavy-lift launch vehicles like Falcon Heavy is quite simply too small to be a major motivator for a commercial launch company like SpaceX. One must remember that SpaceX was not founded to be a run-of-the-mill launch provider. The company’s goal, as has been reiterated ad infinitum, is “enabling human life on Mars”, something that has explicitly prefaced every single job posting on the company’s website for more than half a decade.

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For a time, it appeared that Falcon Heavy might eventually be used to enable SpaceX’s Red Dragon program, intended to field-test the technologies needed for month-long cruises in deep space and landing large payloads on Mars. However, the program was cancelled earlier this year, in favor of what Musk called “vastly bigger ships”. Indeed, updated Mars plans unveiled on September 29th showed that SpaceX was forging ahead with an updated BFR and BFS, and hopes to fly its first missions to Mars in 2022.

SpaceX’s massive BFR, intended to create and support a human colony on Mars, is visualized taking to the sky. Experience from operating Falcon Heavy will likely benefit BFR once it eventually begins hot-fire testing. (SpaceX)

Falcon Heavy will admittedly become the most powerful operational launch vehicle when it first lifts off in approximately two months, and it will likely retain that title well into 2020, when NASA’s Space Launch System may conduct its first launch. However, regardless of the impressive technological accomplishments it will embody, Falcon Heavy simply is not powerful or affordable enough to ever realistically enable a sustained human presence on Mars. SpaceX does have a small number of customers actively waiting with payloads for Falcon Heavy – its second mission is currently penciled in for June 2018 – and it is reasonable to assume that some or all of those missions will be completed simply out of due diligence. SpaceX may also be motivated to continue the Falcon Heavy program as a possible entrant in a recently-announced USAF competition meant to partially fund the development of multiple US-built heavy-lift launch vehicles.

More simply still, experience derived from igniting and simultaneously operating Falcon Heavy’s 27 Merlin 1D rocket engines will to some extent benefit BFR’s development and operations, as the conceptual vehicle is currently expected to host 31 Raptor engines on its first stage.

Whether Falcon Heavy is to remain a development or production priority for SpaceX after its first several launches is unclear, but the vehicle’s inaugural launch and all subsequent launches are bound to be spectacles to behold. The company’s second Florida-based launch pad, intended to support two simultaneous landings of Falcon Heavy’s side boosters, appears to be nearly complete. At LC-39A, the facility’s TEL already sports major visible modifications necessary for it to operate with Falcon Heavy. All three of the first Heavy’s first stage cores have already completed hot-fire testings in Texas and are now located at Cape Canaveral, awaiting their first integrated tests later this month. Delays to the December 29th launch date are probable, but the various components needed for Falcon Heavy’s first launch have truly come together, and the vehicle’s launch is now simply a matter of “when”. Place your bets!

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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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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.

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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.

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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.

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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

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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.

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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.

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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.

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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.

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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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