Been working on a self-hosted AI security agent that runs completely offline — no cloud, no APIs, no external calls.
It ingests system logs, embeds them into vector memory, promotes recurring patterns, and responds based on trust level. The goal is to explore what real autonomous infrastructure might look like: memory-driven, local, and private by default.
Still very much a prototype. Code isn't public yet, but the whitepaper outlines the architecture and direction. Feedback welcome.
The article nails it, AI-generated noise is drowning out quality. We need better signal‑to‑noise management: stronger curation, anti‑spam tools, and incentives for real creators to stick around.
So… we’re solving AI’s energy guilt by literally turning it into a future sanitation problem? Feels like trading one mess for another and hoping someone else cleans it up.
The memo reads more like a product roadmap than a research brag sheet — and that's probably a good sign. If OpenAI wants to go from “cool demo” to “daily utility,” this is the way. Real question is whether they can still lead on research and product at this pace.
It ingests system logs, embeds them into vector memory, promotes recurring patterns, and responds based on trust level. The goal is to explore what real autonomous infrastructure might look like: memory-driven, local, and private by default.
Still very much a prototype. Code isn't public yet, but the whitepaper outlines the architecture and direction. Feedback welcome.
Whitepaper Paper(View): https://codeberg.org/ptrb25/ptrb25/src/branch/main/whitepape... Whitepaper Paper(Raw): https://codeberg.org/ptrb25/ptrb25/raw/branch/main/whitepape... Repo: https://codeberg.org/ptrb25/ptrb25