SamTheOilMan retweeted
Tried the Moon Race demo. Managing the rover’s energy while crossing rough lunar terrain is harder than it looks.
Shortcuts are tempting… until you run out of power. How’d your run go?
muspacecorp.com/moonrace/
While observing the universe, @NASAHubble caught a galaxy cluster smiling for the camera. 😊
The smile lines are arcs caused by an effect known as gravitational lensing, where massive structures warp spacetime with their powerful gravitational forces and act as a cosmic lens.
SamTheOilMan retweeted
ONE QUANTUM ANTENNA CAN HEAR THE ENTIRE RADIO SPECTRUM.
Every antenna in the world is built for one slice of radio. The physics forces it, an antenna has to be roughly the size of the wavelength it's catching, so a low frequency HF antenna is tens of meters long and a Ku-band dish is a small plate. A warship or an aircraft carries dozens, one per band, and every one is a visible, jammable piece of metal, but this is changing.
Infleqtion's Quantum Spectrum does it with a cloud of atoms. Excite cesium atoms into a Rydberg state, where the outer electron orbits far from the nucleus, and the atom becomes exquisitely sensitive to electric fields. Shine a laser through the cloud and you can read any radio signal passing by. The current generation covers 1 MHz to 12 GHz continuously in a single aperture, HF through Ku band, with a roadmap that stretches toward terahertz. It fits in a 4U rack unit, down from 9U a generation ago, with chip scale packaging on the roadmap.
Why militaries are paying for it: It listens without transmitting, so it can't be detected the way a radar can. It's hard to jam, because the atoms aren't tuned to one frequency to overload and one unit monitors the whole spectrum at once, which is the core job of signals intelligence and electronic warfare.
Three countries have already bought in. The U.S. Army, through its research lab, for transportable quantum RF systems. The U.K., for a multi-sensor direction finding program. Australia's defense science group, for a broadband receiver. Integration partners include L3Harris, SAIC, and Dell Federal.
$INFQ $IONQ $QNT
THE MILITARY IS GOING QUANTUM.
THESE 7 COMPANIES ARE IN POSITION TO WIN.
Farseer is DIU's $200 million program to put quantum sensors into the military within months with magnetometers, gravity gradiometers, tactical clocks, and components. Proposals closed in July. Winners haven't been named. Here's who I think gets picked, and why.
$HON: A jet running Honeywell's quantum navigation system flew four hours over the Pacific with GPS switched off, reading Earth's magnetic field to stay on course, 89% more accurate than standard backups. It was a test for this same Pentagon office, grown out of Farseer's predecessor program, and a C-17 is next.
@qctrlHQ: Its quantum gravimeter just navigated a ship across the Coral Sea with no GPS and no stabilization. Gravity gradiometers are a named Farseer lane, and it has DIU and DARPA history.
$INFQ: Its Tiqker clocks are in Navy programs, its Rydberg RF receivers are with the Army, and it's building NASA's quantum gravity gradiometer, which covers three of Farseer's four lanes. On June 22nd, the day before Farseer launched, its CEO was in the Oval Office for the quantum executive orders, the only quantum sensing company in the room alongside IBM and Google.
$IONQ: through their Vector Atomic acquisition, their portable atomic clocks won under the last DIU program. IonQ owns it now, and tactical clocks are a Farseer lane.
$LMT: Launched its quantum center last week and was a previous DIU awardee. Most likely as the integrator putting sensors on platforms.
@SandboxAQ: AQNav has flown quantum magnetic navigation on Air Force aircraft. Not on the last DIU list, but the most operational magnetic navigation system out there.
AOSense: Atom-interferometry gravimeters and inertial sensors, decades of defense work, previous DIU awardee.
Time will tell soon enough who gets in, bookmark this!
$INFQ $IONQ $LMT
SamTheOilMan retweeted
From a ground DGX to a Space-1 design kit.
mu Space used NVIDIA DGX A100 on Earth to train AIMO (depth from ordinary cameras) and to read Factory 1 for Mega Factory planning. RTX still handles 3D design and Moon Race.
Now inside NVIDIA Inception, the next chapter is the Vera Rubin Space-1 kit designing an orbital compute node for Space IDC: edge AI, limited power, heat that leaves as radiation.
Ground first. Orbit second.
muspacecorp.com/the-nvidia-j…
SamTheOilMan retweeted
All we need is to solve gravity and the thermonuclear reactor core for power stability with ASI and make this Gundam a reality.
SamTheOilMan retweeted
16.67万个果蝇神经元刚刚接管了3架无人机,没人教过它们怎么飞。
科学家绘制了一只真实果蝇的完整大脑,每一个神经元以及全部2500万个连接,并免费放到了网上。
把这个大脑复制了3份,每份接入一架无人机。
没有飞行代码,没有手势预设,没有“避开椅子”的规则,只是摄像头把画面喂给果蝇的眼睛,神经元直接控制油门。
一架悬停,一架从椅子旁滑过,一架落到地板上并稳住。
这个大脑花了3.5亿年学习如何待在空中,现在它又回到了属于它的地方。
没有GPU,没有训练过程,没有千亿美元的数据中心,只是一颗像糖果粒一样的大脑。
一只苍蝇给你3个飞行员,1000只苍蝇给你一个机群。
苍蝇死了,但它的大脑刚刚拥有了一支中队。
SamTheOilMan retweeted
🚨 INTRODUCING: SPACE TASK FORCE 🚀
The new @USDOT team will unleash COMMERCIAL SPACE INNOVATION by streamlining approvals, expanding launch infrastructure, and eliminating unnecessary red tape as we scale toward 10,000 launches per year by 2035
The next era of space transportation is HERE and led by America – not China 🇺🇸
SamTheOilMan retweeted
JUST IN: NASA is officially asking industry to develop the technologies needed to build a permanent Moon Base at the lunar South Pole.
The new Sept. 8 solicitation says the agency is targeting five areas: extracting oxygen directly from Moon rock and dust, vertical solar arrays, radioisotope power, advanced manufacturing on the Moon and next-generation nanomaterials.
NASA's broader plan goes much further with large pressurized habitats, nuclear fission power, lunar communications networks and heavy cargo logistics, with infrastructure buildout targeted for 2029–2032.
From 2032 onward, NASA's architecture calls for assembling a permanent lunar outpost where astronauts can live and work for extended periods.
SamTheOilMan retweeted
Suborbital payloads are how a manufacturer learns the stack before LEO.
We’ve flown test payloads on New Shepard M9, M11, M12, and M13 (2018–2020). That is flight-test experience.
forbes.com/sites/rgluckman/2…
SamTheOilMan retweeted
BREAKING🚨
Isar Aerospace demonstrates innovative engine spaghetti arms to boost performance by allowing the rocket to express its excitement upon reaching space.
SamTheOilMan retweeted
The private online roadshow is open for registration.
Executive briefing, then Q&A. Choose a time-zone window on the page. Exact time and link follow by email. muspacecorp.com/private-road…
This will accelerate usa power and data centers to no end
BREAKING: Elon Musk has just confirmed SpaceX’s plan for an in-house factory to cast critical gas-turbine blades and vanes, eliminating the biggest bottleneck slowing turbine production.
He says producing these components at SpaceX could bring new natural-gas turbines online up to 18 months faster, a profound game-changer for the massive power buildout supporting SpaceXAI's rapidly expanding data centers.
SpaceX and Tesla are also each building 100 GW per year of solar production capacity as fast as possible. Musk says natural gas will still be needed for several years to supplement and bootstrap solar.
Classic Elon: when the supply chain cannot move fast enough, build the factory yourself.
Laser power from space is coming
Replying to @elonmusk
Solution: Orbital Data Centers, Space can get pretty cold. Video courtesy of Grok/Imagine.
SamTheOilMan retweeted
Replying to @elonmusk
Solution: Orbital Data Centers, Space can get pretty cold. Video courtesy of Grok/Imagine.
🤖 Made with AI
SamTheOilMan retweeted
Today, SBU and @BrookhavenLab demonstrated a wireless quantum link, transmitting quantum information through open air across 13 miles.
This first U.S. demonstration of its kind marks a milestone for quantum networking beyond fiber-optic cables.
See more: gosbu.co/46eiZyl
Space data centers at scale coming soon to a "space" near you
A lot of time has been spent solving existing bottlenecks and critical technologies for me; now it’s time to prepare for SDC orbital filing. We are working on roughly 10,000 to 100,000 AI inference sats with a combination of high-power system candidates and in-house @muSpaceTech design in our development roadmap: 100 kW to 200 kW on early gen, then double those figures on the follow-on fleet. Legacy mu B-200 design (2kW to 5kW) and components (TRL 3 to TRL 7) will be used in our MVP leading up to pre-commercial and phased out in the commercial phase, expected about three years from now.
There’s also a hint of a 1 MW system platform, but I’ll update you more after our filing is official this year.
#ASI #1TW #compute
SamTheOilMan retweeted
Strong alignment with our roadmap. mu Space is integrating next-gen AI-satellite capabilities for orbital edge processing and Space IDC. Proud @nvidia Inception member advancing AI from Earth to orbit.
The next chapter of space computing is here 🛰️
NVIDIA and its ecosystem are advancing AI from Earth-to-space across:
✔️ Earth Orbit and Infrared Imagery
✔️ Radio Frequency and Synthetic Aperture Radar
✔️ Autonomous Space Operations
Leading commercial space companies and mission-grade, radiation-hardened partners are scheduling deployments of NVIDIA Jetson Orin, IGX Thor, and the Vera Rubin Space-1 module for on-orbit AI inference and ground data processing.
Explore the final frontier of AI 🔗 nvda.ws/4wb6qQd
In the future spectrum bandwidth wont be as important. Quantum comunication will be instantanious. Data will go into a quantum box on satelites, the moon, or spaceahips and it will come out of the corresponding quantum box on earth.
Happy 250th birthday, America! We got you a present. 🇺🇸
The red, white, and blue stars of this globular cluster shine like a sparkler waved on a dark night in this image from @NASAHubble, released in celebration of the United States' 250th anniversary.

ALT A collection of red, white, and blue stars sparkling in the darkness of space. The stars are most concentrated in the center of the image. There is more space between stars as you move to the edges of the picture. Credit: NASA, ESA, and A. Dotter (Dartmouth College); Processing: Gladys Kober (NASA/Catholic University of America)




























