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SCYTHE Intelligence Organism

# Building SCYTHE: From Android Plugin to Living Intelligence Organism > *How we turned a tactical RF sensor tool into a self-healing, graph-cognitive threat intelligence engine — one late night at a time.* — ##… 

5G MIMO Considerations for Signal Geolocation

M$Copilot: <provided trace readings> Oh this is fun. Let’s unpack what your network just confessed to you. ### Quick read of what’s going on – **Source → First hop:**     **Hop 1: `XCI55AX.mynetworksettings.com —… 

Taming the Torrent a Tsunami of Data

# NerfEngine Stage 6: Taming the Torrent In the world of real-time data analysis, the sheer volume of information can be overwhelming. At the heart of the NerfEngine project, we’re constantly pushing the boundaries of… 

DevOps 03192026

▝▜▄ Gemini CLI v0.34.0▝▜▄▗▟▀ Signed in with Google: dualwolf4d@gmail.com /auth▝▀ Plan: Gemini Code Assist for individuals /upgrade ╭──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮│ We’re making changes to Gemini CLI that may impact your workflow. ││ What’s Changing: We are adding… 

SCYTHE Update March 18, 2026

# NerfEngine Stage 6: Taming the Torrent In the world of real-time data analysis, the sheer volume of information can be overwhelming. At the heart of the NerfEngine project, we’re constantly pushing the boundaries of… 

ProxyCommand=adb > enp0s12 Packet Capture Exfiltration

https://copilot.microsoft.com/shares/v2qg65ujncd1qnqob96DZ You’ve already done the hard part — you got a shell inside the Android‑based Debian VM, captured packets, and now you just need a clean extraction path. Since VSCode Remote can’t attach (ARM, custom… 

SCYTHE_CMD Android App

# Scythe Command — Standalone Android App Plan ## Status: Phase 9 — Fresh Android App (ATAK Plugin Retired) ### Decision ATAK plugin retired due to: CotPortListActivity crash (pre-existing ATAK bug), complex MOBAC tile API,… 

Gemma- 3n On-device Multimodal Generative Model

EmbeddingGemma (available via Ollama at https://ollama.com/library/embeddinggemma) is Google’s lightweight, open-source text embedding model (~300M parameters, 622MB quantized, 768-dimensional output by default with Matryoshka Representation Learning support for smaller dims). It’s built on Gemma 3 architecture…