discovery-by-dreaming-cross-domain-recombination

name	discovery-by-dreaming-cross-domain-recombination
description	A skill for implementing cross-domain recombination inspired by dreaming, based on the paper "Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory" (arXiv:2607.16256). This skill outlines how to implement a LoRA fine-tuning pipeline (DREAMS) and a symbolic engine (SAPIENCE) to recombine knowledge across domains, enhancing AI discovery and insight generation.
activation	discovery by dreaming, cross-domain recombination, dream-inspired AI, memory consolidation AI

Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory

Overview

This skill implements the methodology from arXiv:2607.16256, which proposes that dreaming (offline recombination of experiences) is not merely for memory consolidation but for discovering novel cross-domain connections. The approach consists of two complementary systems:

1. DREAMS: A LoRA fine-tuning pipeline that recombines neural network weights.
2. SAPIENCE: A symbolic engine that replays structured knowledge objects.

Both systems generate cross-domain associations that improve performance on tasks requiring transfer learning, such as unseen math reasoning.

Core Concepts

• Recombination vs. Rehearsal: Within-domain rehearsal does not yield discovery; cross-domain recombination does.
• Substrate-General: The principle applies across neural networks and symbolic systems.
• Falsifiable Prediction: Hippocampal recordings can distinguish recombination from rehearsal.

Implementation Steps

1. DREAMS (LoRA Fine-Tuning Pipeline)

1. : Collect a diverse corpus spanning multiple domains (e.g., math, language, science).