Co-founder & CTO of Starcloud - building datacenters in space

Seattle, WA
If you hold a normal grain of sand to the sky at arms length, that grain is covering 10,000 galaxies. 1,000,000,000,000,000 stars, each with at least 1 planet on average. The scale of the universe is literally incomprehensible.
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I assembled said H100 myself, in our very much non-cleanroom workshop, in the early hours of the morning last year.
Earlier @elonmusk mentioned the first @Starcloud_ mission at the @WhiteHouse 🙏😃🚀
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Ezra Feilden retweeted
Great to have our esteemed colleagues @Google planning to join the GPU party on orbit alongside dozens of @nvidia Jetsons, Thors, and even a H100 courtesy of @Starcloud_
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It's 2035, a super intelligent AI now controls the solar system out to the Kuiper belt. The B52 is still flying and has 25 years left of its life extension program.
It is 2050, AGI has replaced 99.99% of jobs, every disease has been cured, fusion is solved. Soyuz is still flying
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Without taking our first step to another star system there can never be a second step. Fantastic to have Peter on board!
We’re gonna launch to the stars. It’s time. 80,000 years to get there is an excellent starting point. There will obviously need to be a faster v2 🔥
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Ezra Feilden retweeted
I’m super excited share that @MIT-trained aerospace engineer and serial entrepreneur Peter Reinhardt @reinpk has committed $1M to the @FermiExplorer mission to send humanity’s first spacecraft to another star! 💫 Find out how you can get involved and contribute at FermiExplorer.org 🤓 And thanks so much for your generosity and time, Peter, welcome aboard!! 🙏😃🚀 Full article: uk.finance.yahoo.com/news/mi…
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Ezra Feilden retweeted
Brilliant … so, that would make a: Phone: Compute Desktop/Laptop: Advanced Compute Data Centres: Super Compute Data Centres in Space: Super Star Compute A collection of data centres in space: @Starcloud_ 💫
Gwynne is suggesting we rebrand data centers to super compute.
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This is cool. Starlight replaced by an eerie imperceptibly dim infrared glow.
For those saying we wouldn’t be know what to look for to see a Dyson sphere in a far galaxy, how about this? We can see >1 trillion galaxies. This is what one would like a few hundred thousand years into hitting super intelligence and starting to build Dyson spheres. I’m not even joking, I hope Roman finds something like this in the hundred billion new galaxies that it is about to observe.
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Starcloud-2 payload shipping out for integration today. Soon to be by far the most powerful computer ever put in space.
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Thanks for the support Jared, we will get it done.
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It only took humanity 4 years to go from launching the first satellite to launching the first interplanetary spacecraft. Yet it's been 60 years since then and we've never launched a spacecraft to another star. Fermi fixes that.
Did you know that humanity has never launched a spacecraft to another star? That is about to change! I'm super excited to share that my cofounders, @AdiOltean, @EzraFeilden, and I, have created a non-profit to attempt to send humanity’s 𝗳𝗶𝗿𝘀𝘁 𝘀𝗽𝗮𝗰𝗲𝗰𝗿𝗮𝗳𝘁 𝘁𝗼 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝘀𝘁𝗮𝗿… and we need your help! We have formed a non-profit called The @FermiExplorer Mission with the goal of launching a minimum viable spacecraft to Alpha Centauri, the nearest star system, leaving in 3 years and arriving in around 80,000 years. We hope it will be both the first spacecraft to leave Earth for another star, and the last to arrive, as per this concept video! The mission is intended to make the idea of interstellar travel real, and to encourage more people to confront one of humanity’s biggest unanswered questions when we look beyond our planet: "Where is everybody?" (the Fermi Paradox) The mission has four high-level objectives: - Aim: To launch the first spacecraft to another star. It should get at least 99% of the way to the nearest star system, Alpha Centauri, within 80,000 years. - Payload: It should have at least a 1kg, 10x10x10 cm payload. - Schedule: It should launch before the end of 2029 - Cost: It should cost less than $15M to design, build, launch, and operate. The mission was planned with the help of the folks at @astrodigitalgeo, @MattGialich and the folks at @AstroForge, and @alexwg+@matthew_pines physical AI lab PSI, who devised the final mission profile. The mission will be executed by full-time program manager @GarrettJameson, who joins us after 10 years as a US Air Force Officer, in collaboration with a US bus manufacturing partner that will be selected over the coming months. We will need your help to complete the mission, so if the idea of the mission excites you, please check out the Fermi Explorer website in the comments to find out more about why we are doing the mission and how to get involved! Thanks to London Studio @ZeroOneCreative and @ashkan01C for producing the concept video 🙏🙏
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Ezra Feilden retweeted
Incredible stuff and important vote of confidence from NVIDIA on the orbital date centers category (not just SpaceX). Congrats Philip, Ezra, and Adi!
I'm super excited to share that we have raised $250M at a $2.3B valuation to build a LOT more AI compute capacity in orbit 🚀 Thanks so much to our supporters, including Manhattan West, who led the round, and new investors, @NVIDIA, @Cisco_Invests, @CedarCapital, Goanna Capital, and @Standard_Cap, as well as continued investment from existing backers @Benchmark, @EQTVentures, @Soma_Capital, @NFX, @SevenSevenSix, and others. Next week, @Starcloud_ will move into a new 100,000 square ft facility that will enable us to ramp up our production rate to 100 satellites/week. This is just the beginning! @EzraFeilden, @AdiOltean🏃🏻‍➡️🏃🏻‍➡️🏃🏻‍➡️
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Ezra Feilden retweeted
Thinking about orbital compute a bit and whether the ladder comes up behind first movers: There is an interesting timing dynamic here that feels similar to what happened with EVs. Investing in orbital compute when compute is priced at a massive premium lets you work through the hardest part of the cost curve. Others can say, “maybe it gets cheaper, maybe it doesn’t,” and keep harvesting terrestrial compute profits today. But if/when the orbital cost curve does bend, there may be a period where early movers have already built the launch experience, operating know-how, customer relationships, and supply-chain position that make them hard to follow.
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Ezra Feilden retweeted
Nice one @ezrafeilden!
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There are six fully/partially reusable orbital launch vehicles in active funded development in the US: Starship, Stoke Nova, Neutron, New Glenn, Terran R, Eclipse. Up until today we've had at most one partially reusable operational. Tell me again that launch prices won't fall.
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Crazier still, China has 14 in active funded development. For those who will fly on Chinese rockets, pricing is going to be even lower.
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Without space datacenters we're on track for a Grey Goo type doomsday scenario, where every square meter of earth's surface gets tiled by solar + datacenters. Once AI is unconstrained to expand out into space, it makes no sense to eat up earth - we're safe.
Plots of empty desert could soon be worth more than the most fertile farmland in human history. @CJHandmer ran through the back-of-the-envelope math. 10 acres of solar is enough for 1 MW of H100s. And the FLOPS done by those H100s is roughly equivalent to 1000 human brains. If we build models that match human performance per FLOP, we could produce 100 humans' worth of cognition per acre of solar. And that's just the floor. Today's chips are far less energy-efficient than the brain, so the actual number could be bigger still by >50x. The implied land value is insane. The clear incentive would be to use up almost all the world's land for solar.
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Ezra Feilden retweeted
This is the real AI doom scenario and, IMO, the only way to avoid it is to make space AI economically preferable.
Plots of empty desert could soon be worth more than the most fertile farmland in human history. @CJHandmer ran through the back-of-the-envelope math. 10 acres of solar is enough for 1 MW of H100s. And the FLOPS done by those H100s is roughly equivalent to 1000 human brains. If we build models that match human performance per FLOP, we could produce 100 humans' worth of cognition per acre of solar. And that's just the floor. Today's chips are far less energy-efficient than the brain, so the actual number could be bigger still by >50x. The implied land value is insane. The clear incentive would be to use up almost all the world's land for solar.
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I will never get tired of presenting in front of this video
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