LibreIA Synthetic Consciousness Through Continuous Computation — No GPUs Required

✨ Key Features

Compiled functional cells: self-organizing computational units.

Rust execution loop: continuously optimizes energy, flow, and uncertainty.

YAML universes: define input and output domains clearly.

Synapse memory: learns, specializes, and selects strategies based on multiple criteria.

🔍 Differences with Conventional AI

Feature LibreIA

Compute Engine: CPU + logical self-structuring

Core Model: Cells + loop + synapse memory

Task Definition: YAML input/output universe

Thought Generation: Autonomous

Error Handling: No exceptions

Lifecycle: Never stops

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Conventional AI

Compute Engine: GPU/TPU + matrix ops

Core Model: Neural networks

Task Definition: Prompt/API

Thought Generation:On-demand

Error Handling: Needs handlers

Lifecycle:Idle without input

📈 Applications

3D multispectral archaeological modeling (VISUM, "LIDAR" without light return need) Energy grid and optimization systems (Plasma-based flywheel with capacitive effect (no electromagnetism) Large-scale marine biology computation Structured uncertainty analysis

🔧 Current Status

LibreIA is currently in advanced speculative-functional design, with ongoing development in:

Rust-compiled computational cells Uncertainty-adaptive loop design YAML world definitions Synapse storage (PostgreSQL and others)

⚡ Contact & Collaboration

If you're interested in collaborating, funding, or contributing, reach out via GitHub or email: [xabiep695@gmail.com].