unquantized-brainstorm

原文涵盖的主题

• Unquantized Brainstorm: Music-Inspired Creative Ideation
• Overview
• Capability Requirements
• Dependencies
• Workflow

When asked to brainstorm, AI systems often converge on predictable, consensus ideas. Unquantized Brainstorm uses Michael Luchtan's Music For Robots as an optional cross-modal creative exercise: before generating ideas, the agent downloads an anonymous, human-played .mp3 composition into a secure private directory, listens to it via readfile, analyzes where the music introduces unexpected pivots or tension, and applies those structures to divergent brainstorming. Multimodal Audio Reading: Requires an agent harness with audio reading support (readfile on binary .mp3 files). If the environment lacks audio reading tools, do not invoke this skill. No Metadata-Only Claims: Agents must only claim to have listened to the music if readfile was actually executed on the .mp3. Inspecting JSON manifests is text analysis, not listening. Private Unique Storage: Downloads use private, process-unique temporary directories (mode 0700) and user-private cache (/.cache/m4r/). uv: Used to run scripts/m4ringest.py (uv run). Uses only Python 3 standard library modules. 1. Fetch an Anonymous Track into Secure Storage: 2. Listen & Analyze: Call readfile on the returned localaudiopath. Analyze the timing dri

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