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SpaceX’s Starship could launch secret Turkish satellite, says Gwynne Shotwell

SpaceX's new stainless steel Starship aims to carry on Cargo BFS' 2017 "Chomper" lineage. (SpaceX)

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According to SpaceX COO/President Gwynne Shotwell and a Turkish satellite industry official, Starship and Super Heavy may have a role to play in the launch of Turksat’s first domestically-procured communications satellite.

Per Shotwell’s specific phrasing, this comes as a bit of a surprise. Built by Airbus Defense and Space, SpaceX is already on contract to launch Turksat’s 5A and 5B communications satellites as early as Q2 2020 and Q1 2021, respectively. The spacecraft referred to in the context of Starship is the generation meant to follow 5A/5B: Turksat 6A and any follow-on variants. Turksat’s 6-series satellites will be designed and manufactured domestically rather than procured from non-Turkish heavyweights like Airbus or SSL. However, the Turksat 6A satellite’s current baseline specifications would make it an extremely odd fit for a launch vehicle as large as Starship/Super Heavy.

Curiously, in written statements to Turkish media outlets, Turkish Aerospace Industries (TAI) referred to a “Turksat 6A2” satellite for the first time ever. Prior to comments made at the Satellite 2019 conference, Turksat’s prospects beyond 5A/5B were simply referred to as “Turksat 6A”, a ~4300 kg (9500 lb) domestically-built communications satellite scheduled for completion no earlier than the end of 2020. Turksat 5A and 5B will both be approximately 4500 kg (9900 lb), well within the capability of the flight-proven Falcon 9 rockets they are expected to launch on.

Why, then, might Starship “[potentially] work for the next Turksat project”, as suggested by Shotwell? Referring to what Turksat GM Cenk Sen then described as “6A2”, Shotwell noted that the satellite would be “quite a large, complex satellite.” While undeniably massive relative to almost anything else, the 4300-kg Turksat 6A is actually in the middle of the road (maybe even on the smaller side) relative to most geostationary communications satellites built and launched in the last few years.

Turksat 5A and 5B will effectively be twins once completed. (Airbus)
As currently proposed, Turksat 6A will be a communications satellite with a fairly standard size and design. (TAI)

We’re gonna need a bigger speculation…

SpaceX COO and President Gwynne Shotwell would know this as intimately as anyone, given her essential role at the head of the launch services provider. Most recently, SpaceX used Falcon Heavy to launch Arabsat 6A (6500 kg/14,300 lb) to a uniquely high transfer orbit of ~90,000 km (56,000 mi). In the second half of 2018, Falcon 9 was also tasked with launching Telstar 18V (7060 kg/15,560 lb) and 19V (7076 kg/15,600 lb) to geostationary transfer orbits (GTO), with 19V technically becoming the heaviest commercial communications satellite ever launched.

SpaceX is also just a few days away from launching 60 Starlink test satellites, reportedly set to become the company’s heaviest payload ever with a mass greater than ~13,000 kg (30,000 lb). Put simply, SpaceX is about as familiar as one can possibly get with not only launching – but even building – truly massive and complex satellite payloads.

SpaceX’s Starship is pictured with the proposed LUVOIR B space telescope in its payload bay, LUVOIR A is shown in the background.(SpaceX/NASA/Teslarati)
A rough visualization of the size of Starhopper, Starship, and Super Heavy, pre-steel. (Austin Barnard, Teslarati)
The first orbit-capable Starship prototype is currently being built in South Texas. (NASASpaceflight – bocachicagal)

In short, it appears that “Turksat 6A2” may refer to an extremely ambitious follow-on to Turksat 6A (perhaps 6A1?). To warrant the use of Starship over the then highly-proven and well-paved Falcon 9 or Heavy, Turksat 6A2 would indeed have to be what Shotwell referred to as “quite a large, complex satellite”. In a recoverable configuration, Falcon 9 is capable of placing about 5500-6000 kg into a full GTO. Falcon Heavy allows for 8000-10000 kg, with the latter option assuming that all three boosters land on drone ships. Steel Starship’s performance – with or without tanker refueling – is effectively an unknown quantity at this point in time, although SpaceX CEO Elon Musk says more Starship info will be provided this year at a dedicated June 20th event.

Aside from questions of payload performance of Starship/Super Heavy relative to Falcon 9/Heavy, it’s unclear when the next-gen SpaceX rocket will actually be ready to start launching commercial payloads. Back in December 2018, Musk estimated that Starship had a 60% chance of reaching orbit by the end of 2020, with confidence on the rise as the company transitioned BFR’s structure from carbon composites to stainless steel. Four months after that estimate, a low-fidelity Starship prototype – nicknamed Starhopper – successfully completed two Raptor-powered test fires, straining a few feet into the air against large tethers. Meanwhile, Raptor testing continues in McGregor, Texas, while progress is also being made on what is said to be the first orbit-capable Starship prototype a few thousand feet from Starhopper.

Once realized, Cargo Starship’s massive payload bay will permit some truly unorthodox new approaches to satellite design and launch, as well as space launch in general.

A long path to orbit

Before SpaceX can begin orbital launch attempts with Starship, the company will need to build a new launch complex (or develop a floating launch platform), complete with processing and integration facilities also built from the ground up. Additionally, at least one massive Super Heavy booster will be needed for Starship to deliver more than just itself to orbit. Starship’s unprecedented metallic heat shield will need to be made flight-ready, while a minimum of 38 Raptor engines will need to be built and tested. In short, a huge amount of work needs to be done before Starship and its associated facilities will be capable of launching high-value customer payloads.

An official render of a cargo Starship (formerly BFS), circa 2017. (SpaceX)

In other words, any prospective Cargo Starship customers will necessarily be shopping for launches in 2021-2022 at the absolute earliest. According to TAI’s Sen, SpaceX and its Starship vehicle will be just “one of the candidate[s]” eligible to compete for the Turksat 6A2 launch contract, hinting that these new comments are just the first of many more to come.

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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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