Starship's first orbital attempt now targets 28 September
Twenty-six Starlink V3 satellites are bound for the payload bay of Ship 41 at Starbase, Texas, on a flight that has not yet left the ground. SpaceX is now targeting Monday 28 September 2026 for Starship Flight 14, with the window opening at 7:15 a.m. Central Time, 12:15 UTC, from Pad B. That is the fourth date set for this mission: attempts on 15, 18 and 22 September were each stood down, and the 28 September slot is still pending final regulatory approval. Ship 41 has completed its cryogenic proof testing and its static fire campaign, and Booster 21 has been moved to the pad for stacking. If the count reaches zero, Booster 21 will lift Ship 41 off the pad and, for the first time in the program's three-year test campaign, hand a Starship upper stage enough velocity to circle the planet. The flight, designated IFT-14, would be the first orbital mission of the world's largest operational rocket. Every previous Starship test, including the successful Flight 13 on 24 July 2026, was flown on a deliberately suborbital arc that splashed down either in the Indian Ocean or the Pacific (SpaceX, September 2026).
What changes because of this is the shape of the test program itself. For thirteen flights, SpaceX used the upper stage's engines to push it downrange without ever crossing the orbital velocity threshold of roughly 7.8 km/s. The result was a "passively safe" trajectory that guaranteed reentry and splashdown at a known point even if all vehicle control was lost (Ars Technica, 15 September 2026). To stay on a closed orbit around Earth, Ship 41 will have to perform two burns in space, a coast phase of nearly ten hours, and a controlled deorbit burn at the end of the mission, all while carrying real revenue payload. That last detail is why SpaceX Chief Financial Officer Bret Johnsen told the Goldman Sachs Communacopia and Technology Conference audience on 10 September 2026 that this is "a revenue-generating flight" (TeslaNorth, 10 September 2026). No previous Starship test ever carried satellites that were intended to serve paying customers.
The procurement story behind the announcement starts with Starlink V3 itself. Each V3 satellite adds about 1 Tbps of downlink capacity and 160 Gbps of uplink capacity to the constellation, roughly ten times faster on the downlink and twenty-two times faster on the uplink than a V2 mini Starlink (PCMag via BaseNor, 15 September 2026). Twenty-six of them on Flight 14 will add a combined 26 Tbps of capacity in a single mission, more than ten times what a Falcon 9 V2 mini launch delivers (TeslaNorth, 16 September 2026). V3 satellites are too large to fit inside a Falcon 9 fairing; they can only reach orbit on Starship (SpaceX IPO filing, May 2026; azmth.space, 15 September 2026). The first batch of twenty V3s flew inside Ship 40 on Flight 13 in late July. This is the second and larger batch, with three of the twenty-six modified to carry cameras aimed back at the ship's heat shield during deployment.
The engineering choices that make the orbit possible begin with Booster 21's hardware fix. On Flight 13, Booster 20 had successfully used all thirty-three of its Raptor 3 engines during boostback, the first time a Block 3 Super Heavy had done so, before the terminal phase of the landing burn went wrong. Three of the thirteen center engines showed signs of ice clogging and triggered an early shutdown, leaving only eight engines to complete the burn before the booster splashed down hard in the Gulf of Mexico (Tech Times, 16 September 2026). The cause was straightforward. Liquid oxygen, stored at roughly −183 °C, draws moisture into propellant feed lines and filters where it can freeze into crystals. The center engines of the booster feed from a dedicated liquid-oxygen header tank used only during terminal deceleration, and that header tank's filters were not sized to keep the contamination out under flight loads. Booster 21 carries redesigned filters on the propellant path between the header tank and the center cluster, along with new software for relight reliability (SpaceX, 15 September 2026). A successful landing burn on Flight 14 will be the qualification event for that change before SpaceX attempts the first tower catch of a Block 3 booster on Flight 15.
Ship 41's heat shield is the second engineering story of the day. SpaceX recovered Ship 40 from the Indian Ocean in early August largely intact, harvested two of its ceramic heat-shield tiles, and plans to refly them on Ship 41 (Ars Technica, 15 September 2026). Three upgrades followed. Stronger retention mechanisms on tiles in regions at highest risk of shedding during ascent. Additional shielding against plasma flow paths behind the tile field. And a curved tile design that has shown it can reduce heating in the gaps between individual tiles. Three of the twenty-six V3 satellites carry cameras pointed back at the ship's flank during their deployment sequence, so the mission returns not just operational spacecraft but a heat-shield health dataset from inside the bay.
The trajectory is also new. All earlier Starship flights followed ballistic arcs aimed at splashdown zones west of the Bahamas, in the Indian Ocean, or, in the case of the catch attempts, at Starbase itself. Flight 14 will splash Ship 41 down in the Pacific Ocean west of Chile, the geometry forced by a true orbital insertion at 275 km altitude. The booster will attempt a controlled splashdown in the Gulf of America on its own landing burn, not a tower catch (SpaceX, 15 September 2026). SpaceX has not yet received regulatory approval for an upper-stage tower catch in this campaign; that step is reserved for later flights.
The numbers underneath are what make the orbital geometry work. A Block 3 Super Heavy at liftoff carries 3,650 tonnes of methalox propellant across its two stages, with the booster delivering 89.5 Meganewtons of thrust from thirty-three Raptor 3 engines and the upper stage pushing six engines of its own, three of them Raptor Vacuum variants with a vacuum specific impulse of 380 seconds (Wikipedia, SpaceX Starship; SpaceX, 2024). The orbital velocity target of 7.8 km/s, multiplied by the natural logarithm of the mass ratio, gives the rocket equation Δv = v_e * ln(m_0 / m_f) that Tsiolkovsky wrote in 1903 and that every orbital mission since has had to satisfy. For a single-stage-to-orbit architecture, the ratio m_0 / m_f must clear roughly twenty. Two stages let Starship keep both ratios smaller, with Booster 21 shedding its structure shortly after its boostback burn and Ship 41 climbing to operational orbit on its own.
The mission control plan adds one explicit safety gate. Ship 41 will execute the burn to enter orbit only after the flight control team has confirmed "sufficient redundancy on hardware critical" to the later deorbit burn (SpaceX, 15 September 2026). If the ship is not healthy enough to come back down on command, it stays on its initial suborbital trajectory and splashes down in the Pacific regardless. The decision is made in flight, after launch and stage separation, rather than at any point in the ground count.
What's next is the catch. Musk confirmed in mid-September 2026 that Flight 15 will attempt the first Block 3 booster tower catch, building directly on the Flight 14 landing burn (Starlust, 15 September 2026). From there, SpaceX's published roadmap points toward higher flight cadences, larger payloads of up to sixty V3 satellites per launch, and the eventual test of orbital propellant transfer, the unproven technology that still gates every Mars mission. Flight 14 is not the destination. It is the flight that would end Starship's run as a suborbital demonstrator and finally make it what it was always meant to be: a vehicle that goes around.
Relativistic Effects on Proof-of-Work Based Cryptocurrency Protocols
Abstract
The blogpost explores relativistic effects on proof-of-work based cryptocurrency protocols. Cryptocurrencies are here to stay and it is quite plausible that future human colonists spread across the solar system and beyond will use a decentralized cryptocurrency as opposed to a fiat currency issued by a central authority. The low transaction fees, the ubiquitous access, not being bound by exchange rates or interest rates, not being controlled by financial institutions who are serving foreign interests -- these are some of the advantages cryptocurrencies will enjoy in the thriving exo-economy.
Motivation
At present, on a cryptocurrency network, the information exchanged by the nodes in the network reaches each node almost instantaneously. The speed at which the TCP/IP packets travel on the network and the fact that the Internet spans only the Earth and the LEO makes this possible. However, once the region the network is spread across will reach certain boundaries, the network size would have negative impact on the network: increasing communication failures due to network delays, more frequent and longer blockchain forks as part of the proof-of-work protocol, network segregation into local sub-networks (let us call them topological forks), just to name a few.
Nullius in verba... as they say. Let's go deeper into details and figure out a feasible solution for a truly interplanetary cryptocurrency.
Cryptocurrency 101
You can think of a cryptocurrency as a digital money ecosystem. Plain and simple. A collection of technologies are part of this ecosystem, all of them the result of years of research in the cryptography and distributed systems fields: a decentralized network of computers, a public transaction ledger -- also known as a blockchain, a protocol that consists of a set of rules for transaction validation, a decentralized consensus mechanism. [ANTO]
A decentralized network of computers ensures the resilience of the network. We can think of both computing power and data storage capabilities. As the computing power is distributed across the network, any disruption can be successfully handled by the network. Transaction data resides on all nodes of the network. This implies that even physical damage done to network nodes will not take out the network.
The blockchain is a public distributed ledger which stores all transactions handled by the network. As the name suggests, the blockchain is a list of data blocks. Each of these blocks contains a set of transactions, as many as can fit in the block, given the maximum size of the block (a characteristic of the network). Transactions contain sender and receiver info, and the amount/asset that is changing ownership, and they are broadcasted and added to blocks by network nodes. Blocks are linked to the previous block in the chain by a cryptographic hash (the hash of the previous block becomes part of the current block). This backward link leads all the way to the first block in the chain, the Genesis block. Each cryptocurrency blockchain has one. The cryptographic hashes have an important role in protecting the blockchain from tampering attempts.
The transaction validation rules enforced by the nodes in the network ensure that the content of each block in the blockchain is valid. By far, the most frequent form of fraud is double spending. The validation process makes sure that the inputs on the transactions exist and that they have not been already spent. The transactions marked as invalid are rejected by the network and do not make it on the blockchain.
The consensus mechanism is designed so that all the nodes in the network can agree on the set of transactions to be included in the current block. It shifts the authority and the credibility required by a central clearing house to a network of nodes. Important to mention here that, inherently, the nodes do not trust each other, and they do not have to because the trust is enforced by the consensus mechanism itself.
The Proof-of-Work
We mentioned above that one of the key innovations that make cryptocurrencies possible is the decentralized consensus mechanism. Currently, the de facto consensus mechanism is the proof-of-work.
The proof-of-work consensus mechanism was proposed by Satoshi Nakamoto in 2008 [NAKA]. In general, a proof-of-work is a piece of data that requires costly and time consuming computational effort, but it is very easy to verify. A very good analogy is one of your semester projects in college... it takes you a whole semester to finalize it, but it takes very little time and effort for your supervisor to evaluate and grade it. Similarly, proof-of-work is used by cryptocurrencies for block generation. For the network to accept the block, nodes must complete a proof-of-work which also guarantees the integrity of the transactions included in the block. The difficulty of the proof-of-work is adjusted by the network so that a new block can be generated every fixed time interval. This fixed time interval is characteristic to every cryptocurrency. Most notably, for Bitcoin this time interval is set to 10 minutes.
Satoshi Nakamoto's solution, emobodied by the proof-of-work algorithm above, achieves consensus on the network without a central trusted authority (hence the name decentralized consensus mechanism).
Enter the Ansible
For the astute reader, it is quite obvious at this point that communication delays between the network nodes have a direct effect on the protocol described above. An important assumption made when the protocol was designed is that these delays are small, and this is why they can be handled by the network when the nodes choose to follow and validate the blocks on the longest blockchain fork. Also, this is the reason why all the nodes in the network can have a say in the network consensus. They all can find a solution for the current block, and they all can be rewarded when they find the solution. The communication delays witnessed by the peripheral nodes will cripple their ability to find solutions and these nodes will not be incentivized to remain in the network. Hence, the segregation of the network effect mentioned earlier.
Unfortunately, given the current technological level of our civilization, we do not have at our disposal a technology that allows us to communicate fast and reliable over the large expanse of space. It would take a hell of a wait time to proces a payment made by a mining corporation in the TRAPPIST-1 system, 12 parsecs within the constellation of Aquarius, to a planetary engineering corporation located in the Sol system... twice 39 years plus the block confirmation time.
Fortunately, the Sci-Fi literature already offers a solution for our problem. For those of you, Sci-Fi nerds like myself, that have already read Rocannon's World [LEGU] and Ender's Game [CARD], the Ansible device must sound very familiar. The ansible is a fictional device capable of faster-than-light communication. To word this differently, an operator of such device can send and receive messages to and from another device over any distance with no delay.
Hence, even if only in the realm of science fiction, we will be able to devise a solution for the problem that the future cryptocurrency enthusiasts, living in the outer space colonies, will eventually face.
The Special Relativity Theorem
Before elaborating more on a required upgrade of the network protocol, we have to discuss the special relativity theorem and its implications on how time and distance are perceived in reference systems.
Albert Einstein was awarded the Nobel Prize in Physics in 1921. He received it for his contributions to the understanding of the photoelectric effect, after publishing a paper on it in 1905. At that point his contributions to the understanding of gravity through his theory of relativity were well known, but the new perspective on gravity offered by Einstein's theory was so controversial that the Nobel Prize Committee members chose to protect their reputation. They decided that it was appropriate to award Einstein the Nobel Prize for "his services to theoretical Physics, and especially for his discovery of the law of the photoelectric effect."
During his research Einstein attempted to reconcile the principle of relativity with the principle of the constancy of the velocity of light. This attempt led Einstein to the discovery of the special relativity theorem. Einstein's Gedankenexperiment (thought experiment) with a test subject travelling by train is very well known in the scientific community. If our human subject is walking towards the front of the train with velocity w with respect to the train, and the train is moving with velocity v with respect to the embankment, then an observer on the embankment will measure as W = v + w the velocity of our subject on the train. If instead of our traveller, we consider a beam of light propagating with velocity c, the velocity measured by the observer on the embarkment would be v + c. However, this violates the principle that the velocity of light is constant in any inertial reference system and equal with c. Einstein found a solution for this problem and thus resolved the incompatibility.
One direct consequence of the special relativity theorem is the Lorentz transformation.
Before the relativity theorem, time in physics had an absolute significance, independent of the state of motion of the reference system. However, every inertial reference system has its own particular time. We always have to be told which inertial reference system the statement of time refers to. If you look at your watch, the time you read is the time as measured in the Earth inertial reference system. By the way, the Earth circles the Sun on an almost circular orbit, which means that any body maintaining a constant position in the Earth reference system should experience some centripetal force. However, this centripetal component is negligible compared to the gravitational pull of the Earth. Hence, engineers use this aproximation when calculating satellite orbits.
Back to our original trail of thoughts... the axiom that lays the foundation for the Lorentz transformation states that every ray of light possesses the velocity of transmission c relative to any inertial reference system. That is the velocity of transmission in vacuo (in a vacuum).
If following Einstein's thought experiments [EINS], the above-mentioned axiom leads to a set of four equations that explain the relation between dimensional and temporal coordinates in two inertial reference systems:
x' = (x - vt)/sqr(1 - v2/c2)
y' = y
z' = z
t' = (t - x*v/c2)/sqr(1 - v2/c2)
where:
x, y, z, t coordinates in inertial reference system K,
x', y', z' , t' coordinates in inertial reference system K',
v the relative velocity between inertial reference systems;
also, the expression 1//sqr(1 - v2/c2) is known as the Lorentz factor.
The Lorentz transformation equations are a more general case of the Galilean transformation:
x' = x - vt
y' = y
z' = z
t' = t
which is the basis of the assumptions of the classical mechanics as to the absolute character of both dimensional and temporal coordinates. The above are the result of replacing velocity c with ∞ in the Lorentz transformation equations.
The Lorentz transformation has a few corollaries which have an impact on time dilation, length contraction, relativistic mass, relativistic momentum, and relativistic kinetic energy. The one that concerns us is the time dilation corollary:
Δt = γΔt'
where γ is defined by
α = 1/γ = sqr(1 - v2/c2)
Assuming a clock at rest in inertial reference system K, and moving with the velocity v in the inertial reference system K', the time Δt' between two ticks as measured in the frame K' is longer than the time Δt between the same ticks as measured in the rest frame of the clock, K.
Relativistic Effects on Proof-of-Work
To better understand the relativistic effects on how relative time is perceived in two inertial reference systems (or Galilean reference systems [EINS]) we have to mention the twin paradox. The twin paradox is a thought experiment that involves two identical twins. One of the twins makes a journey into space onboard a relativistic spaceship, and upon his return to Earth discovers that his twin has aged much more than he did. Depending on how fast the spaceship moves through space and/or how long the journey was, our traveller could return to Earth and realize that several generations have passed meanwhile.
As a direct application of the twin paradox, we have Mazer Rackham, International Fleet Admiral and Ender Wiggin's mentor, as portrayed by Orson Scott Card [CARD]. The fighter pilot who destroyed the Formic Fleet Flagship, killed the Hive Queen, and ended the Second Formic Invasion, Mazer Rackham is sent on a journey on a relativistic spaceship and returns to Earth 100 years later in order to assist the International Fleet. Upon his return he has barely aged a few years.
Similarly, if a subnetwork is moving relative to the rest of the network, the nodes in the subnetwork would experience time dilation as predicted by the special relativity theorem. Hence, they are at a disadvantage compared to the rest of the nodes because they have less time available to find a solution for the proof-of-work problem. In order to make thing square for all the nodes in the network, the difficulty of the problem should be adjusted in each subnetwork using the Lorentz factor: in order to compensate for time dilation, the relativistic nodes should have to solve a simpler problem. Also, their block confirmation time should decrease as well.
One element is missing still... how do ansibles synchronize? What value has the Lorentz factor for each one of them? One simple solution for this problem is having one of the ansibles (let us say the Earth-bound one) broadcasting a beacon every fixed number of seconds. The ansibles interfacing to subnetworks would pick up the broadcast, and by measuring the time interval between the beacons, infer the Lorentz factor. Once the Lorentz factor is determined, the nodes mining on the subnetworks will have their proof-of-work difficulty and the block confirmation time adjusted accordingly.
A more Down-to-Earth Solution for the Problem
We will fork the storyline (pun intended) at Enter the Ansible paragraph, and suggest a more down-to-earth solution for the problem. The peripheral nodes are not to participate in the consensus. Their function would be just to relay messages (a.k.a. payment information) across the network. In our multi-planetary scenario, the nodes working on the proof-of-work would reside on/around the Earth, and the network nodes on Mars or any other region in the Sol system would have to wait 2x (network packets travel time) + (block confirmation time) in order to confirm a payment. However, such a solution would have an Achilles heel very hard to defend... if starting its mining engine, any peripheral node could take over the local network and force a topological fork of the network. For a node, the incentive of staying honest on the current network must be stronger than any reward obtained by cheating.
Concluding remarks
While the blogpost contains some elements of fiction, it accurately describes the cryptocurrency ecosystem, the special relativity theorem, the Lorentz transformation and its corollaries. We would like to thank the readers that went through this exercise with us. Undeniably, cryptocurrencies are disrupting the global economy and they are here to stay. Undeniably, we -- as a species -- will explore and migrate farther than the LEO. History has taught us that decentralization is the key to survival and prosperity. Let us together make the future happen.
References
[ANTO] Antonopoulos, Andreas M., Mastering Bitcoin, Second Edition, O'Reilly Media, Inc., June 2017;
[CARD] Card, Orson Scott, Ender's Game, A Tor Teen Book, 2014;
[EINS] Einstein, Albert, Relativity, The Special and the General Theory, Princeton University Press, 2015;
[LEGU] Le Guin, Ursula K., Rocannon's World, Harper & Row, 1977;
[NAKA] Nakamoto, Satoshi, Bitcoin - A Peer-to-Peer Electronic Cash System, www.bitcoin.org, 2008;
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