Tag: Space

  • A Novice’s Look at Sidus Space SIDU [Web App]

    A Novice’s Look at Sidus Space

    Posing a Simple Question About Commercial Chips in a Radiation-Filled World

    Important Disclaimer

    This is not financial advice. I am a complete novice at this type of research. I hold degrees in Engineering Physics (B.S.) and Electrical & Electronics Engineering (M.S.), but my conclusions could be entirely wrong. I have previously bought and sold securities in both Sidus Space (SIDU) and Draganfly (DPRO). This report is for informational purposes only and represents my personal line of questioning. Do your own research. I am not responsible for any financial gains or losses.

    The Central Conflict

    Sidus Space, a company working on space and defense technology, has announced the use of NVIDIA’s Jetson platform for its on-orbit AI processing. This raises a fundamental question about equipment survivability in space. Let’s look at the two conflicting sides of this story.

    Side A: The Company’s Claim

    Sidus Space states its LizzieSat™ satellites use AI for “next-generation intelligence solutions” and touts its “AI-driven on-orbit capabilities.”

    “Sidus Space … announced the successful on-orbit operation of its Automatic Identification System (AIS) sensor onboard LizzieSat®-3… advancing the company’s strategy to fuse multi-sensor satellite data with onboard artificial intelligence…” – Sidus Space Press Release, Sep 10, 2025

    Side B: The Technical Reality

    The processor at the heart of their AI strategy, the NVIDIA Jetson Orin NX, is a Commercial-Off-The-Shelf (COTS) component. It was never designed or intended for use in space.

    “The NVIDIA Jetson Orin NX System-on-Module (SoM) is unequivocally not a radiation-hardened device… Its official product documentation makes no claims regarding its suitability for aerospace or radiation environments…” – An Engineering Assessment of the NVIDIA Jetson Orin NX

    Hardened vs. Tolerant: What’s the Difference?

    To understand the risk, we need to know the key terminology. “Radiation Hardened” and “Radiation Tolerant” sound similar, but they represent fundamentally different engineering philosophies and levels of reliability.

    Built for Purpose

    These components are intentionally designed from the ground up to survive the harsh radiation of space. This involves specialized manufacturing processes (like Silicon-on-Insulator), redundant circuit designs, and materials that resist radiation damage. The manufacturer provides a guaranteed performance specification (e.g., will survive up to 100 krad(Si)).

    A Staggering Difference in Resilience

    Independent testing reveals the gap between the Jetson Orin NX’s tolerance and the guaranteed resilience of true rad-hard chips. The metric here is Total Ionizing Dose (TID), measured in krad(Si). A higher number means better protection.

    Processor Head-to-Head

    Here’s how the commercial Jetson Orin NX stacks up against two processors actually designed for the rigors of space. Note the trade-off: immense performance for unguaranteed reliability.

    Metric NVIDIA Jetson Orin NX BAE Systems RAD5545 Frontgrade Gaisler GR740
    Type COTS (Commercial) Rad-Hard by Design Rad-Hard by Design
    AI Performance Up to 100 TOPS N/A N/A
    TID Rating ~37-39 krad(Si) (Tested) 100 krad(Si) (Guaranteed) 300 krad(Si) (Guaranteed)
    Destructive Latchup Not Immune (Requires external protection) Latchup Immune (Guaranteed) Latchup Immune (Guaranteed)
    Manufacturer Stance Not intended for space Designed for SpaceVPX QML-V Certified for space

    So, How Do You Square the Two?

    On one hand, we have a company making exciting claims about AI in space. On the other, the hardware enabling these claims appears fundamentally unsuited for the operating environment without significant, undisclosed, and expensive mitigation strategies (like advanced shielding or complex watchdog systems).

    Is this the “New Space” paradigm of accepting higher risk for higher performance? Or is it a critical vulnerability being overlooked? As a novice, I don’t have the answer. But the question seems worth asking.

    About This Report

    My skepticism stems partly from past experiences with related companies and underwriters like Think Equity and H.C. Wainwright, particularly with Draganfly (DPRO). The pattern of dilution and bold claims warrants careful scrutiny.

    Report Published: October 7, 2025.

    (more…)
  • Terrestrial Parts, Celestial Promises

    In the high-stakes world of defense satellites where failure is not an option, is Sidus Space taking a dangerous shortcut? The company markets its LizzieSat constellation as a “mission-critical” solution for government and intelligence clients, but a deep dive into its hardware reveals a startling choice: a powerful, commercial-grade NVIDIA processor that was never designed to withstand the harsh radiation of space. This episode exposes the critical mismatch between Sidus’s celestial promises and its terrestrial parts, and connects this technical gamble to a broader pattern of promotion involving its underwriter, ThinkEquity, and the cautionary tale of Draganfly. We’ll also question whether a U.S. Army contract for ground-based manufacturing is being used to create a misleading halo of legitimacy around a potentially flawed space venture.

    Doomscroll Dispatch
    Doomscroll Dispatch
    Terrestrial Parts, Celestial Promises
    Loading
    /
  • The Energy Doctrine: A Fantastical Strategy for Earth and Space

    The Energy Doctrine: A Fantastical Strategy for Earth and Space

    What follows is not a sober policy proposal. It is a thought experiment, a flight of fancy designed to shatter the narrow confines of the current energy debate. The public discourse pits solar against fossil fuels as if it were a schoolyard argument, while the real game of power operates on a level of complexity that is rarely, if ever, discussed. This article is a wild, speculative attempt to outline a more complete, if fantastical, doctrine for energy strategy across three domains: strategic deception, tactical resilience, and celestial dominance. None of this is to be taken too seriously.

    The Terrestrial Battlefield: The Art of Strategic Deception

    The first principle of this doctrine is that a nation’s true energy capacity should be its most closely guarded secret. The ancient military strategist Sun Tzu taught that all warfare is based on deception. Publicly available data on energy production is, in this light, a strategic blunder—it’s like handing your enemy the schematics to your fortress. A wiser, if more paranoid, approach would be to reveal only what a sophisticated AI predicts is the bare minimum necessary to project stability, while concealing the true depth of your power. The real strength lies in the undisclosed—the unexpected and the unseen.

    The Deception Layer: Power Beneath the Surface

    The ultimate expression of strategic energy deception lies in moving critical infrastructure where it cannot be seen or targeted: underground. To be truly secure, a nation must possess power generation that is impervious to satellite surveillance, drone attacks, and bunker-busting bombs. The most practical technologies for this are nuclear and geothermal. All forms of nuclear reactors, from today’s fission plants to tomorrow’s fusion concepts, can be housed in deep, hardened subterranean bunkers. Geothermal energy, which taps the planet’s own internal heat, is perhaps even more elegant. With a minimal surface footprint, these plants provide constant, 24/7 power, regardless of weather, time of day, or what’s happening on the surface. By creating a distributed network of hidden geothermal and nuclear sites, a nation could build an invisible power base, with energy transmitted via hardened, buried, or even laser-based systems to ensure a second-strike capability and industrial survival.

    The Solar Paradox and Strategic Response

    On the surface, solar infrastructure is a paradox. In a conflict, sprawling solar farms are a liability—fragile, indefensible, and far more costly to rebuild than the munitions needed to destroy them. If you were Ukraine, fields of glass panels would be an illogical investment. Furthermore, we must consider scenarios beyond conventional warfare. A massive earthquake, a super-volcano eruption like Yellowstone that blacks out the sky with ash, or a meteor strike would render solar power useless. There are even whispers of weather manipulation technologies that could blot out the sun over a target area—a potentially cheaper tactic than building a massive solar infrastructure in the first place.

    This is where the strategic value of natural gas becomes clear. It’s not about powering a peaceful nation; it’s about tactical response in a crisis. The ability to quickly spin up natural gas turbines provides the immediate power needed to launch a counter-attack, power essential services after a natural disaster, or simply keep the lights on in a command bunker when the sun has disappeared.

    (more…)
  • Actionable Initiatives for NASA Budget Cuts

    AI Data Mining Core (Oracle): Establish an AI center to intensively mine consolidated historical astronomical datasets (all wavelengths). Focus: Find previously missed threat precursors (SNe variability, solar patterns, NEO behavior) and predictive anomalies.

    AI Ground Observation Network (Argus): Network existing/low-cost ground telescopes (university, amateur) using AI for optimized scheduling and real-time analysis. Fund essential connectivity/automation upgrades. Focus: Top Priority: NEO detection & rapid orbit confirmation. Also, targeted monitoring of AI-flagged threats (solar activity, SNe candidates) and rapid transient response.

    Minimalist SmallSat Monitors (Styx): Design and deploy narrowly focused, ultra-low-cost CubeSats for critical space-based data unobtainable from the ground. Focus: Prioritize essential solar monitoring (vector magnetograms for flare precursors), potentially adding basic transient detection (X-ray/gamma-ray flash alerts).

    AI Predictive Simulation Hub (Delphi): Utilize high-performance computing for AI-accelerated simulations of threat phenomena physics. Focus:Model solar flare initiation, SNe/GRB mechanisms, and NEO dynamics to identify critical warning thresholds and improve risk assessment.