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SpaceX CEO Elon Musk forecasts a dozen Starship launches next year

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CEO Elon Musk has provided a small update on SpaceX’s next-generation Starship rocket in a brief statement to and Q&A with the board of the US National Academies of Science, Engineering, and Medicine.

While it’s now been more than two years since Musk last gave a proper presentation on the Starship program, a number of excellent questions from board members still managed to extract a handful of new details about the fully reusable rocket, which the SpaceX CEO says aims to “be a generalized transport mechanism for the [entire] solar system.” According to Musk, though, the most pressing near-term issues facing SpaceX are more down to Earth.

https://www.youtube.com/watch?v=rLydXZOo4eA

Reiterated several times in his comments to the National Academies, Musk says that the current limiting factor for Starship is securing regulatory approvals from the FAA for the rocket’s first orbital test flights, which SpaceX and Musk initially hoped would begin as early as mid-2021. Targets from July to November 2021 have since come and gone, while SpaceX has only begun to make concerted progress towards Starship’s first orbital launch in the last two or so months. Almost two months after its first rollout, Starship S20 – the first orbital-class prototype – began integrated testing, completing ambient and cryogenic proof tests in late September and its first Raptor preburner and static fire tests in the second half of October.

Most recently, after almost a month spent inactive at SpaceX’s Starbase test facilities, Starship S20 fired up all six of its Raptor engines – the first test of its kind and a major milestone for the program. Save for the completion of some relatively simple closeout tasks, Starship S20 is now more or less qualified for flight after its successful static fire. That leaves Super Heavy Booster 4 (B4) – the first stage meant to carry Ship 20 into space – up next on SpaceX’s South Texas testing docket after almost four agonizing months spent sitting, untested, at various Starbase facilities.

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Musk says that SpaceX preparing to complete “a bunch of tests in December” with the implication that those tests likely include the first full Super Heavy wet dress rehearsal (WDR) with thousands of tons of live propellant and the first several booster static fire tests. Recently refitted with 29 Raptor engines for the third time in four months, it appears that SpaceX is finally close to finishing Super Heavy B4 to a point that will allow the booster to begin integrated testing. Through Super Heavy B3, which completed testing this summer, SpaceX thankfully already knows that the basic booster design is a structurally sound pressure vessel with plumbing and systems capable of surviving a three-Raptor static fire.

Super Heavy B3 completed a very limited test campaign in July 2021. (SpaceX)

Still, that’s barely more than 10% of the total number of engines Super Heavy will need operational to send Starship to orbit. After months at the pad, SpaceX is finally closing out Booster 4’s aft section and installing a basic heat shield around its 29 Raptor engines, which will produce up to ~5400 metric tons (~12M lbf) of thrust at liftoff – more than any other rocket in history. Following Starship S20’s recent success, SpaceX has now fired six Raptors simultaneously and in close proximity without issue. However, Super Heavy B4 will have to fire 29 engines packed into roughly the same amount of space. No other liquid rocket stage in history has a more densely-packed thrust section, averaging at least 85 tons of thrust per square meter (~125 psi) of available engine space.

It’s thus likely that SpaceX will split Super Heavy B4’s first static fire campaign into several different parts, possibly involving seperate tests of the center cluster of nine Raptor Center (RC) engines and outer ring of 20 Raptor Boost (RB) engines before firing up all 29 together. Even if that testing is completed without issue on the first attempts, SpaceX will still likely want to perform a full wet dress rehearsal – and possibly even another 29-engine static fire – with Ship 20 installed on top of Booster 4.

Musk also believes that Starbase’s first orbital launch site will be complete as early as “later this month” – essential for full booster testing. Once all testing is complete, Musk says Starship, Super Heavy, and Starbase should be ready for their first orbital launch attempt as early as January or February 2022. Of course, that launch is entirely contingent upon FAA environmental approval and launch licensing, the former still incomplete and the latter unable to proceed until the former is complete. If the FAA reaches a favorable conclusion, meets its recently-announced target of December 31st to complete Starbase’s environmental review, and grants SpaceX a new launch license just days or a few weeks later, a January-February launch isn’t out of the question.

Looking further into 2022, Musk also revealed that he hopes SpaceX will complete “a dozen [Starship] launches” next year – incredibly ambitious by any measure. There isn’t a rocket in history that’s achieved double-digit launches in the same year as its debut. More importantly, even if the FAA environmental review SpaceX is in the middle of ends with the best possible outcome for Starship, it limits the company to either 3, 5, or 8 (it’s somewhat ambiguous) orbital launch attempts per year. Still, even a ‘mere’ three orbital Starship launch attempts in 2022 would be an incredible acheivement for SpaceX – let alone five, or Musk’s forecast of a dozen.

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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.

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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