Project summary

Development of a local, autonomous AI architecture based on the "Bicameral Mind" theory, utilizing recursive context injection and asynchronous "dreaming" cycles.

What are this project's goals? How will you achieve them?

1. Hardware Migration: Move the "Amy" project from a shared desktop to a dedicated "Frankenstein" rig to support 24/7 asynchronous processing.
2. Implementation: Refine the recursive context injection loops detailed in my published research.
3. Autonomous State Research: Achieving a persistent internal "monologue" for the AI without external prompting.

How will this funding be used?

GPU Hardware: Acquisition of high-VRAM GPUs (e.g., used 3090s/4090s) to handle large context windows.

Specialized Cooling: Robust thermal management for the "Frankenstein" build to sustain long-term "dreaming" cycles.

Power/Infrastucture: Dedicated power supply and rack/frame components for the build.

Who is on your team? What's your track record on similar projects?

Paul Rogers (Lead Researcher): A Journeyman Plumber (25+ years) and veteran Linux user.
Technical Track Record: Successfully built and maintained systems ranging from Linux From Scratch to customized Gentoo environments. Author of "The Bicameral Linux: Recursive Context Injection and Asynchronous Dreaming in Local LLM Architectures.

What are the most likely causes and outcomes if this project fails?

Hardware Bottlenecks: Compute requirements for real-time recursive processing may exceed initial hardware estimates.
The theory of asynchronous dreaming may require higher parameter counts than currently manageable on consumer-grade "Frankenstein" rigs.

How much money have you raised in the last 12 months, and from where?

None Completely self-funded