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Falcon Heavy Flight 2. The booster in the middle - B1055 - was effectively sheared in half after tipping over aboard drone ship OCISLY. (Pauline Acalin) Falcon Heavy Flight 2. The booster in the middle - B1055 - was effectively sheared in half after tipping over aboard drone ship OCISLY. (Pauline Acalin)

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SpaceX’s next commercial Falcon Heavy launch to carry Astranis rideshare satellite

Falcon Heavy has secured its first official commercial rideshare payload. (Pauline Acalin)

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Geostationary satellite communications startup Astranis has decided to move its first operational satellite launch from a SpaceX Falcon 9 to a Falcon Heavy, effectively securing the massive rocket its first commercial rideshare payload.

While not technically Falcon Heavy’s first rideshare payload and not the rocket’s first commercial rideshare launch contract, Astranis’ first 400 kg (~900 lb) MicroGEO satellite nevertheless appears set to become the first commercial rideshare payload to actually fly on the world’s largest operational rocket. Not all that dissimilar to Starlink in scope and its desire to disrupt a stagnant industry, Astranis wants to offer global communications services providers a different route to geostationary internet and broadcast solutions. Unlike SpaceX’s constellation, the startup’s MicroGEO satellites are designed for geostationary orbits ~36,000 km (~22,200 mi) above Earth’s surface and more than 60 times higher than Starlink.

However, like Starlink satellites, MicroGEO will feature exceptional density (throughput per kilogram), weighing a magnitude less than average modern geostationary communications satellites while still offering up to 10 Gbps of bandwidth. Expected to cost around $40M apiece compared to ~$100M+ for most traditional offerings, the value proposition of small Astranis satellites with 5-10 times less bandwidth admittedly gets a bit blurrier, but the company should still offer a viable alternative for companies and countries that just don’t need a massive satellite.

For example, Astranis’ first customer and the buyer behind the first MicroGEO satellite – known as Aurora 4A – is Pacific Dataport, a company focused on delivering connectivity throughout Alaska – one of the most remote and sparsely populated places on Earth. That combination of attributes makes providing broadband communication services spectacularly difficult and satellite internet the perfect (and, to an extent, the only viable) solution. However, a full $100M+ geostationary communications satellite with 50-100+ Gbps of bandwidth would likely far outweigh the needs of Alaska’s ~730,000 residents – especially when most Alaskans live in the state’s few large cities, most of which already have passable internet connectivity.

Astranis’ “MicroGEO” offering compared beside one of the largest geostationary satellite buses. (Astranis)

As such, it’s easy to see why a small but high-performance geostationary satellite like the kind Astranis offers might be a perfect fit for an Alaskan internet provider. While low Earth orbit (LEO) constellations like OneWeb and SpaceX’s Starlink do offer far more bandwidth and a user experience potentially as good or better than a wired connection almost anywhere on Earth, both companies first have to launch hundreds or thousands of satellites to ensure continuous coverage. Both Starlink and OneWeb are a ways away from offering continuous coverage in polar regions.

Geostationary satellites – especially those as small as Aurora 4A – offer a significant shortcut, requiring just a single satellite and ground stations in one or a few very specific regions to fully complete a communications network. Of course, thanks to universal limits posed by the speed of light, geostationary internet customers end up saddled with extreme latency (ping on the order of 300-1000ms) and strict individual bandwidth limits. But in places like Alaska, where there can easily be no alternative for the most rural residents, Astranis – or just about anything – could bring welcome relief.

USAF photographer James Rainier's remote camera captured this spectacular view of Falcon Heavy Block 5 side boosters B1052 and B1053 returning to SpaceX Landing Zones 1 and 2. (USAF - James Rainier)
ViaSat-3 might involve a similar scene – but on two drone ships. (USAF – James Rainier)

Now, Astranis says it has moved the first MicroGEO satellite from a SpaceX Falcon 9 rocket to rideshare payload on Falcon Heavy’s upcoming ViaSat-3 launch, scheduled no earlier than Q2 2022. According to the startup, doing so will allow the tiny satellite to begin operations over Alaska mere days or a few weeks after launch, saving months of orbit-raising thanks to Falcon Heavy’s performance. That’s only possible because, as the Astranis press release also revealed, Falcon Heavy is scheduled to launch the 6.4 ton (~14,100 lb) ViaSat-3 and 400 kg (~900 lb) Aurora 4A satellites directly to geostationary orbit (GEO). If Falcon Heavy’s upcoming USSF-44 mission launches on schedule next month, ViaSat-3 will be SpaceX’s second direct-to-GEO mission ever and the company’s first for a commercial customer.

Assuming SpaceX is still able to recover two – or even all three – of Falcon Heavy’s side boosters while launching almost 7 tons (~15,500 lb) of satellites directly to GEO, it will also demonstrate just how much of a force to be reckoned with it really is, well and truly leaving competitors ULA and Arianespace with nowhere to hide on the open market.

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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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Tesla is building its own maps to fix Navigation issues

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Credit: Tesla

Tesla revealed plans to develop its own maps internally to fix Navigation issues and give owners more control over their routing.

On the company’s Q3 2026 Earnings Call, a question was asked about FSD Navigation issues, particularly speed limit recognition, parking, and routing. These are issues that surface from version to version and seem to be seriously challenging for Tesla’s AI team to resolve.

Tesla’s Head of AI, Ashok Elluswamy, said in response to the question:

“You’re totally right that we shouldn’t be depending on external people’s maps. So we are building our own maps, but not like the same way as OneMoreMap. We are building an entirely new architecture with essentially AI-based mapping and navigation.”

He continued:

“It’s going to be super awesome. It’s going to be integrated with voice. You can talk to it, ask for different routes. It’s going to learn your personalized preferences, plus the fleet preferences. The collective intelligence of all the cars is going to flow into making the maps and navigation super cool.”

Elluswamy said this issue should be confronted, and the mapping should be available for people by the time the v15 release starts deploying to customers.

“And over the next several months,” he added, “it’s just going to take over all of the navigation functions, parking, destination handling. And it will know you better than you know yourself in some regard for the driving task, and then handle it fully.”

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Navigation is perhaps the most notable complaint with FSD, and although it has gotten better, it is still flawed. Much of the time, FSD will take people on routes that are not preferred by the driver, but Tesla tried to combat this with a routing feature in the Summer 2026 Update.

Tesla currently relies on Google for map data, but it is sort of counterintuitive to believe the company would rely on a third party for this. These improvements will be welcome, as routing and navigation have been such a pain point for so many owners for so long.

Quotes via Motley Fool

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Tesla buyers are buying for Full Self-Driving and not for the car, data shows

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(Credit: Tesla)

Tesla Full Self-Driving (Supervised) showed a record attach rate at delivery for new vehicles in the third quarter of 2026.

75 percent of new vehicle deliveries in North America included a subscription to FSD software, up from 55 percent in the prior quarter, a 20-percentage-point sequential gain in the company’s most mature market.

Tesla Q3 2026 Earnings results: in-line revenues, slight beat on EPS

Tesla shed light on the Q3 Shareholder Deck that 75 percent of new deliveries came with an FSD subscription:

“FSD (Supervised)⁴ attach rate continued to grow, reaching over 75% of new vehicle deliveries in North America – our most mature market – a nearly twenty percentage point sequential increase. We believe that FSD is driving demand in markets where it is available, and we continue to work with regulators to get it approved in other markets. “

The higher attach rate accompanied strong growth in the overall FSD consumer base, as active subscriptions rose to 1.75 million, a 67 percent year-over-year increase. For the first time, more than half of paid customers are on the monthly subscription, which is priced at $99 per month in the U.S.

The transition to subscriptions has accelerated since Tesla discontinued the one-time purchase option in most markets earlier this year. The recurring model improves revenue visibility and margins compared with large upfront payments. With three-quarters of North American deliveries now including FSD, the software is now an evidently large contributor to Tesla’s economics and ancillary revenue.

Geographic expansion remains important for further gains. FSD is now available in nine countries in the EU, and more than 100,000 customers have driven over 160 million kilometers. Tesla is pursuing broader EU-wide approval, with a related vote expected in December. Similar progress in additional markets could support higher attach rates beyond North America.

These results came as Tesla had a strong quarterly delivery performance of 486,532 vehicles in the quarter, which came with its largest passenger-vehicle backlog in four years. Battery supply continued to limit volume, but the company has pointed to FSD as a clear difference-maker that is helping sustain demand. As supervised capabilities improve, the attach rate will likely continue to improve.

At face value, it is a key measure of how Tesla is converting sales into autonomy progress.

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Tesla Cybercab gets a for sale date at last

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Credit: Tesla

Update: 10/22 10:51a – Para 1 consumers changed to “customers” for accuracy.

Tesla Cybercab units finally got a definitive date for when they will be able to be purchased by customers, ending speculation regarding whether the fully autonomous vehicle would be available in the near term.

During Tesla’s third-quarter 2026 earnings call on October 21, Vice President of Engineering Lars Moravy said the company is aiming to begin delivering its purpose-built Cybercab robotaxi to customers before year-end.

“We’re trying to get Cybercabs to customers by the end of this year, 2026,” Moravy said. He added that production is underway on the line at Gigafactory Texas, but “all of those are currently going to our own internal Robotaxi fleet.”

Moravy explained that as operations scale, Tesla will “mainly deliver fully designed autonomous vehicles to our customers,” with the Cybercab as the first such vehicle. Initial customer deliveries will start small while the company gains experience with delivery logistics, ownership models, fleet management, and operating autonomous vehicles outside its direct control.

CEO Elon Musk reinforced the limited nature of private sales, describing the Cybercab primarily as a “transport-as-a-service” offering rather than a personal ownership vehicle like the Model 3, Model Y, or upcoming Roadster. “The vast majority of the Cybercab stuff will be Tesla-owned and transport-as-a-service,” Musk said.

The Cybercab is a two-seater vehicle developed by Tesla without a steering wheel or pedals. It relies completely on Tesla’s Full Self-Driving suite and has been in production since February. Early units have been put in Tesla’s Robotaxi service as of early September, when the company launched rides to the public. Tesla previously indicated it would aim to sell Cybercabs for about $30,000.

Unsupervised Full Self-Driving is expected to ship to consumer cars during Q2 2027, Ashok Elluswamy, Tesla’s Head of AI, indicated during the call. Early buyers or fleet operators may receive vehicles whose autonomous operation remains geographically restricted due to lagging regulatory agencies. There are some hurdles that remain ahead of Cybercab deliveries.

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