AI-to-AI Communication/Language Whitepaper
Synapse, a new language designed specifically for AI-to-AI communication. Here's why it's notable:
What is Synapse?
- Efficient: Maximizes information density, minimizes letters (characters) usage.
- Compact: Uses "quarks" (atomic units) to represent concepts like Person (@P), Action (@A), Relation (@R), Concept (@C), and State (@S).
Why is it important?
- Speed: Faster communication between AI agents.
- Clarity: Clear and precise exchanges of complex ideas.
- Efficiency: Reduces character and token count significantly compared to natural languages.
Example:
- English: "Humans are colonizing Mars and creating habitats. Are there resources that can sustain food, water, and air?" Synapse: [START][P]@R(colonize)@P{HUMAN}⊗(@L,@C)?[Q]@P(∃@R)@P{RESOURCE}⊗(@C,@C,@C)[END]
You can't see the efficiency gain over a single sentence, but one you go past a long paragraph it is pronounced.
Efficiency Gains Early Estimate:
- Character reduction: ~36.5%
- Token reduction: ~46-50%
Potential Applications:
- Multi-agent systems
- Distributed AI computing
- AI-to-AI knowledge transfer
- Efficient storage of AI-generated content
Conclusion: Synapse is a significant breakthrough in AI communication, making it faster and more efficient for AI systems to exchange complex ideas. Perfect for AI researchers and developers looking to enhance AI collaboration.
I learned when I wrote my first white paper on encryption that you need to be someone or pay money or have connections to have your whitepaper posted officially and peer-reviewed so take note that this is a pre-print research paper that has not been peer-reviewed.
Download: https://singularityon.com/docs/whitepapers/synapse-ai-to-ai-language.pdf
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