SPACE_README.md

metadata

title: DReamMachine - Dream A LiL(LLM) Dream
emoji: 🌟
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
license: null

🌟 DReamMachine: Dream A LiL(LLM) Dream

Multi-Agent LLM Orchestration System for Breakthrough Innovation Discovery

What Does This Do?

DReamMachine uses "controlled hallucination" to discover breakthrough innovations. Multiple specialized AI agents work together to:

1. Dream - 3 creative LLMs generate wild, innovative ideas
2. Refine - Writer/Logger/Narrator agents create coherent narratives
3. Evaluate - Deep analytical models assess feasibility
4. Score - Curator decides if ideas advance to the next life stage
5. Evolve - Successful ideas progress through simulated 100-year lifespans

How to Use

Quick Start

1. Single Dream Round tab:

   • Select a life stage (start with "init_1_25")
   • Click "Run Dream Round"
   • Wait 2-5 minutes for results
   • Review scores and outputs

2. Batch Mode tab:

   • Set number of rounds (5-10 recommended)
   • Set interval between rounds
   • Run to generate multiple ideas automatically

3. Session History tab:

   • View all past sessions
   • Track which ideas got high scores
   • See reforge-eligible concepts

The 4 Life Stages

Stage	Age	Focus
Init	1-25	Foundational discovery (bold creativity)
Mid	26-50	Commercialization & crisis (real-world testing)
Late	51-75	Mass adoption & ethics (societal impact)
Final	76-100	Legacy & vision (long-term thinking)

Scoring

Ideas are scored on:

• Originality (1-10): How novel is it?
• Feasibility (1-10): Can it actually be built?
• Global Impact (1-10): How many people benefit?
• Narrative Coherence (1-10): Is the pitch compelling?

Ideas with Feasibility > 7 AND Originality > 5 advance to the next life stage!

Example Output

The system might generate ideas like:

• Solar fiber blankets for portable energy
• Atmospheric water harvesters for drought regions
• Bio-responsive smart materials
• Neural interface learning systems
• And many more...

Technical Details

Architecture: 7-step dream cycle with multi-agent orchestration

Models Used:

• Dreamers: Mixtral 8x7B, Llama 3 8B (high temperature)
• Analysts: Llama 3 70B (low temperature)
• Writers: Mistral 7B, Nous-Hermes (medium temperature)

Data Storage: All sessions logged to private HuggingFace Dataset

Created By

**Dave Roby / DRStudios ** Claude / 4.5 Sonnet ** comet / Perplexity ** Gemini / Flash

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"Let the LLMs imagine the future" 🚀