Synapse: AI-to-AI High Efficiency Language. This is a compiler/decompiler (translation) Python program.
Executive Summary
Synapse is a shorthand language designed specifically for AI-to-AI communication, aiming to maximize information density while minimizing character usage. This language enables faster and more efficient exchanges between advanced AI agents, facilitating advanced information processing and decision-making.
-Synapse Language Key Features
- Quark-based structure: Synapse uses atomic units called "quarks" to represent fundamental concepts, which are combined using parentheses to form more complex expressions.
- Field contexts: Field contexts provide additional layers of meaning to Synapse expressions, enabling AI systems to convey complex ideas and relationships more effectively.
- Quantum operators: Synapse incorporates quantum operators to express complex relationships between concepts, such as superposition (the idea that something can be two things at once), entanglement (invokes multiple meanings(layers of meaning)), and change (delta).
- Logical operations and quantifiers: Synapse includes standard logical operators and quantifiers, as well as comparative operators.
- Efficient representation: Synapse can significantly reduce the number of words(characters) required to express complex ideas compared to natural languages like English.
Download the whitepaper: https://www.singularityon.com/docs/whitepapers/synapse-ai-to-ai-language.pdf
Download the Language Guide: https://www.singularityon.com/docs/guides/synapse-guide.pdf
synapse_compiler.py
grammar_rules.json
synapse_dictionary.json
pattern_matching.json
synapse_explanation.txt
-
Tkinter
-
nltk (Natural Language Toolkit) NLTK is open source software. The source code is distributed under the terms of the Apache License Version 2.0. The documentation is distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States license. The corpora are distributed under various licenses, as documented in their respective README files.
Linux:
Python3 synapse_compiler.py
Windows:
Python synapse_compiler.py
IF you wish to translate from English to Synapse, enter the text in the "Input" and select "English to Synpase" then press "Translate".
For translating from Synapse to English, enter the synapse text in the "Input" and select "Synapse to English" then press "Translate".
This program is only to be downloaded, viewed and used for Educational and Research Purposes Only! This is not for Individuals to use, nor is it for Companies to use.
Synapse: A High-Efficiency Language for AI-to-AI Communication
Synapse is an advanced meta-language designed for ultra-efficient communication between Large Language Models (LLMs). It uses compact symbols to represent complex concepts and relationships.
Key Components:
-
Quarks: Fundamental units representing core concepts
@P: Person/Entity
@A: Action
@R: Relation
@C: Concept
@S: State -
Strings: Combinations of quarks forming complex ideas
Example: @P(@R:friend)@P = A person who is friends with another person -
Fields: Contextual environments modifying interpretation
[HIST]: Historical context
[PRED]: Predictive context -
Quantum Operators:
⊗ (superposition): Multiple states simultaneously
⊕ (entanglement): Strong correlation between concepts
Δ (change): Transformation or evolution of concepts -
Nested References:
{1}, {2}, etc.: Refer to previously mentioned concepts
{1.2}: Second sub-component of the first mentioned concept -
Temporal Markers:
⟨past⟩, ⟨present⟩, ⟨future⟩: Time reference
⟨t+n⟩: n units of time in the future
⟨t-n⟩: n units of time in the past -
Abstract Representations:
∑: Summarization
∏: Aggregation
∫: Continuous processes
Synapse allows for extremely condensed expression of complex ideas, relationships, and temporal concepts. It's designed for AI-to-AI communication but can be translated to and from human languages.