Implement Cognitive Layer (Phi-3/Gemma Integration)

[iberi22]

Description

Implement the Cognitive Layer (synapse-cognition) to enable the system to "think" using Small Language Models (SLMs) like Phi-3 Mini or Gemma 2B, guided by the ethical constraints of the Synapse Core.

Architecture

The LLM acts as the Cognitive Cortex, while Synapse Core acts as the Limbic/Moral System.

The Loop

1. Perception: Input -> Latent Vector.
2. Judgment: Core analyzes Entropy/Suffering (Genesis Matrix).
3. Cognition: LLM generates response/thought based on dynamic system prompt injected with ethical state.
4. Simulation: Response is fed back to Core to verify entropy reduction before output.

Tasks

• Create crates/synapse-cognition library.
• Define CognitivePort trait in synapse-core.
• Implement OrtCognitiveAdapter using ort (ONNX Runtime) for cross-platform inference (PC/Android).
• Implement the "Thought Loop" logic connecting Core and Cognition.
• Integrate with synapse-cli for testing.

Technical Stack

• Runtime: ONNX Runtime (ort crate) for broad hardware support (NPU/GPU).
• Models: Quantized Phi-3 Mini or Gemma 2B (ONNX format).

[google-labs-jules]

Jules is on it. When finished, you will see another comment and be able to review a PR.

[google-labs-jules]

Ready for a review! A PR has been created.

[google-labs-jules]

I apologize, but I encountered an unexpected error and wasn't able to complete the task.