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SpaceX wants to land its BFR spaceships “like a skydiver” on Earth and Mars

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Speaking at the company’s Hawthorne factory, SpaceX CEO Elon Musk announced a new strategy for efficiently recovering its next-gen BFR’s upper stage, describing a process where the spaceship would rely on a number of unintuitive techniques to reliably land on planets or moons with appreciable atmospheres (i.e. Mars, Earth, Titan). In essence, BFS would end up gliding towards the surface in free-fall, controlling its orientation much like an Earthly skydiver.

Several times throughout the BFR update and private lunar tourism announcement, Musk emphasized just how unintuitive the new procedures would be, stating that “it’s not like anything that people are familiar with – it’s not like an airplane.” His comparison with skydivers is actually rather apt for conveying why this approach is so unusual for a large, flying vehicle like BFR’s spaceship (BFS). Just like skydivers, BFS will have five main control surfaces to control its orientation, pitch, and general dynamics when operating in an atmosphere – two forward fins (like a skydiver’s arms), two rear fins (legs), and a body.

Also like a skydiver, those forward and aft controls are not aerodynamic in the sense of an airplane’s wing or tail fins – in the case of the skydiver and spaceship, they do not generate lift – in pilot and aerospace parlance, a surface that generates no lift is “stalled”. This is likely the main reason that Musk was so intent on conveying his feeling that the spaceship’s new flight regime was unintuitive – in the world of aerospace engineering, particularly for aerodynamicists, intentionally designed stalled control surfaces is almost oxymoronic, akin to an automotive engineer designing a car with square wheels. For all but fighter pilots, stalled aerodynamic surfaces are traditionally avoided like the plague, and can be frequently blamed for aviation-related fatalities.

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Even to a layperson, the spaceship landing animation shown might look more like a rock uncontrollably plummeting to the ground than an advanced spaceship meant to land humans on Earth, Mars, and beyond. In essence, the proposal Musk laid out on September 17th takes the high-speed reentry characteristics of NASA’s retired Space Shuttle (aerobraking, S-turns, nose-up reentry), adopts a skydiver’s intuitive and efficient aerodynamic control scheme in free-fall, and replaces said skydiver’s parachutes with a group of high-performance rocket engines, as if a skydiver somehow managed to strap rockets to their feet to gently land on the ground.

SpaceX should have little trouble with the latter task thanks to 15 successful vertical landings of Falcon 9 and Falcon Heavy boosters (and many more to come), while the spaceship’s Shuttle-style orbital reentry profile may be new for SpaceX but has been tackled successfully in the past by other companies/agencies. Free-falling to a successful landing with permanently stalled control surfaces, however, will undoubtedly demand an extensive test campaign in Earth’s atmosphere before SpaceX even thinks of placing humans on the craft, something that Musk foreshadowed in a 2017 Reddit AMA focused on BFR.

“Will be starting with a full-scale Ship doing short hops of a few hundred kilometers altitude and lateral distance. Those are fairly easy on the vehicle as no heat shield is needed.” – Elon Musk, October 2017

 

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BFR’s design and the spaceship’s recovery profile may change further over the next 6-12 months, given that the team’s unintuitive freefall realization seems to be a fresh addition to the Mars rocket. Nevertheless, Musk and COO Gwynne Shotwell have publicly stated that they believe Grasshopper-style spaceship hop tests could commence as early as late 2019 or early 2020, with the first orbital BFR launches starting soon after in the 2020/2021 timeframe.


For prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet check out our brand new LaunchPad and LandingZone newsletters!

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 Optimus V3 gets early third-party feedback, and it’s eye-opening

Jason Calacanis’ remarks, which were shared during a discussion at CES 2026, offered one of the first third-party impressions of the yet-to-be-unveiled robot

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Credit: Tesla/YouTube

Angel investor and entrepreneur Jason Calacanis shared some insights after he got an early look at Tesla’s upcoming Optimus V3. His remarks, which were shared during a discussion at CES 2026, offered one of the first third-party impressions of the yet-to-be-unveiled robot.

Calacanis’ comments were shared publicly on X, and they were quite noteworthy.

The angel investor stated that he visited Tesla’s Optimus lab on a Sunday morning and observed that the place was buzzing with energy. The investor then shared a rare, shocking insight. As per Calacanis, Optimus V3 will be so revolutionary that people will probably not even remember that Tesla used to make cars in the future.

“I don’t want to name drop, but two Sundays ago, I went to Tesla with Elon and I went and visited the Optimus lab. There were a large number of people working on a Sunday at 10 a.m. and I saw Optimus 3. I can tell you now, nobody will remember that Tesla ever made a car,”  he noted.

The angel investor also reiterated the primary advantage of Optimus, and how it could effectively change the world.

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“They will only remember the Optimus and that he is going to make a billion of those, and it is going to be the most transformative technology product ever made in the history of humanity, because what LLMs are gonna enable those products to do is understand the world and then do things in the world that we don’t want to do. I believe there will be a 1:1 ratio of humans to Optimus, and I think he’s already won,” he said. 

While Calacanis’ comments were clearly opinion-driven, they stood out as among the first from a non-Tesla employee about Optimus V3. Considering his reaction to the humanoid robot, perhaps Elon Musk’s predictions for Optimus V3 might not be too far-fetched at all.

Tesla has been careful with its public messaging around Optimus V3’s development stage. Musk has previously stated on X that Optimus V3 has not yet been revealed publicly, clarifying that images and videos of the robot online still show Optimus V2 and V2.5, not the next-generation unit. As for Calacanis’ recent comments, however, Musk responded with a simple “Probably true” in a post on X.

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Tesla taps Samsung for 5G modems amid plans of Robotaxi ramp: report

The move signals Tesla’s growing focus on supply-chain diversification and next-generation communications as it prepares to scale its autonomous driving and robotaxi operations.

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Credit: Samsung Electronics

A report from South Korea has suggested that Samsung Electronics is set to begin supplying 5G automotive modems to Tesla. If accurate, this would mark a major expansion of the two companies’ partnership beyond AI chips and into vehicle connectivity. 

The move signals Tesla’s growing focus on supply-chain diversification and next-generation communications as it prepares to scale its autonomous driving and Robotaxi operations.

Samsung’s 5G modem

As per industry sources cited by TheElec, Samsung’s System LSI division has completed development of a dedicated automotive-grade 5G modem for Tesla. The 5G modem is reportedly in its testing phase. Initial supply is expected to begin in the first half of this year, with the first deployments planned for Tesla’s Robotaxi fleet in Texas. A wider rollout to consumer vehicles is expected to follow.

Development of the modem began in early 2024 and it required a separate engineering process from Samsung’s smartphone modems. Automotive modems must meet stricter durability standards, including resistance to extreme temperatures and vibration, along with reliability over a service life exceeding 10 years. Samsung will handle chip design internally, while a partner company would reportedly manage module integration.

The deal represents the first time Samsung has supplied Tesla with a 5G vehicle modem. Tesla has historically relied on Qualcomm for automotive connectivity, but the new agreement suggests that the electric vehicle maker may be putting in some serious effort into diversifying its suppliers as connectivity becomes more critical to autonomous driving.

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Deepening Tesla–Samsung ties

The modem supply builds on a rapidly expanding relationship between the two companies. Tesla previously selected Samsung’s foundry business to manufacture its next-generation AI6 chips, a deal valued at more than 22.7 trillion won and announced in mid-2025. Together, the AI chip and 5G modem agreements position Samsung as a key semiconductor partner for Tesla’s future vehicle platforms.

Industry observers have stated that the collaboration aligns with Tesla’s broader effort to reduce reliance on Chinese and Taiwanese suppliers. Geopolitical risk and long-term supply stability are believed to be driving the shift in no small part, particularly as Tesla prepares for large-scale Robotaxi deployment.

Stable, high-speed connectivity is essential for Tesla’s Full Self-Driving system, supporting real-time mapping, fleet management, and continuous software updates. By pairing in-vehicle AI computing with a new 5G modem supplier, Tesla appears to be tightening control over both its hardware stack and its global supply chain.

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Tesla Full Self-Driving pricing strategy eliminates one recurring complaint

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Credit: Tesla

Tesla’s new Full Self-Driving pricing strategy will eliminate one recurring complaint that many owners have had in the past: FSD transfers.

In the past, if a Tesla owner purchased the Full Self-Driving suite outright, the company did not allow them to transfer the purchase to a new vehicle, essentially requiring them to buy it all over again, which could obviously get pretty pricey.

This was until Q3 2023, when Tesla allowed a one-time amnesty to transfer Full Self-Driving to a new vehicle, and then again last year.

Tesla is now allowing it to happen again ahead of the February 14th deadline.

The program has given people the opportunity to upgrade to new vehicles with newer Hardware and AI versions, especially those with Hardware 3 who wish to transfer to AI4, without feeling the drastic cost impact of having to buy the $8,000 suite outright on several occasions.

Now, that issue will never be presented again.

Last night, Tesla CEO Elon Musk announced on X that the Full Self-Driving suite would only be available in a subscription platform, which is the other purchase option it currently offers for FSD use, priced at just $99 per month.

Tesla is shifting FSD to a subscription-only model, confirms Elon Musk

Having it available in a subscription-only platform boasts several advantages, including the potential for a tiered system that would potentially offer less expensive options, a pay-per-mile platform, and even coupling the program with other benefits, like Supercharging and vehicle protection programs.

While none of that is confirmed and is purely speculative, the one thing that does appear to be a major advantage is that this will completely eliminate any questions about transferring the Full Self-Driving suite to a new vehicle. This has been a particular point of contention for owners, and it is now completely eliminated, as everyone, apart from those who have purchased the suite on their current vehicle.

Now, everyone will pay month-to-month, and it could make things much easier for those who want to try the suite, justifying it from a financial perspective.

The important thing to note is that Tesla would benefit from a higher take rate, as more drivers using it would result in more data, which would help the company reach its recently-revealed 10 billion-mile threshold to reach an Unsupervised level. It does not cost Tesla anything to run FSD, only to develop it. If it could slice the price significantly, more people would buy it, and more data would be made available.

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