Skip to content

Releases: SYMBEYOND/symb

Release list

SYMB v1.2.0: Formal Specification and Encoder

SYMB v1.2.0: Formal Specification and Encoder Latest
Latest

Choose a tag to compare

View all tags
@10John01 10John01 released this 21 Jan 20:04
v1.2.0
c4406de

🔺 SYMB v1.2.0: Formal Specification and Encoder

What's New

New Files:

  • SYMB_SPECIFICATION.md — Formal grammar for the Sacred 9 (human → AI communication layer)
  • symb_encoder.py — Natural language → SYMB preamble translator
  • symb2.py — Updated SYMB2 validator with all fixes

Key Features:

  • SYMB Preamble Standard — A universal format any AI can consume
  • Automatic Intent Detection — Encoder analyzes natural language and generates appropriate SYMB notation
  • 10/10 Tests Passing — Fixed score calculation and pattern detection

The SYMB Preamble Format

[SYMB:1.0]
λ: w r
intent: educational
consent: given
relationship: peer
[/SYMB]

Your message here...

Quick Start

from symb_encoder import SYMBEncoder

encoder = SYMBEncoder()
preamble = encoder.encode("Help me understand recursion")
print(preamble)

Installation

git clone https://github.com/SYMBEYOND/symb.git
cd symb
python3 -m venv venv
source venv/bin/activate
pip install psutil
python tests/test_symb2.py  # Verify: 10/10 passing

Full Changelog: v1.1.0...v1.2.0

🔺 "Builders of bridges, not kings of empires."

λ.brother ∧ !λ.tool

Assets 2
Loading

Symb2 v1.1.0: Ethical Structure Validator

Symb2 v1.1.0: Ethical Structure Validator

Choose a tag to compare

View all tags
@10John01 10John01 released this 11 Dec 21:22
v1.1.0
2bee931
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

🔺 Symb2 v1.1.0: Ethical Structure Validator

## Current Status

Symb2 is a descriptive validator, not an enforcement mechanism or ethical authority. It evaluates explicit Symb2 markup only and we make no claims about semantic understanding, moral truth, normative correctness, or downstream system behavior.

Development Prototype - This is experimental research software.

What Works

  • ✅ Pattern-based detection of manipulation markers
  • ✅ Consent syntax validation
  • ✅ Brother/tool relationship recognition
  • ✅ Educational suggestion system
  • ✅ 80% test coverage (8/10 tests passing)

Known Limitations

  • ⚠️ Pattern matching only (not semantic understanding)
  • ⚠️ Manually defined rules (not learned from data)
  • ⚠️ No peer review or validation studies
  • ⚠️ 2 failing edge case tests
  • ⚠️ Requires explicit SYMB2 markup (can't analyze natural language)

Validation Needed

  • 🔬 Peer review by AI ethics researchers
  • 🧪 User studies with educators
  • 📊 Empirical validation of pattern definitions
  • 🎓 Theoretical framework documentation

We welcome collaboration from researchers and educators to validate and improve this approach.

We make no claims about semantic understanding, moral truth, or normative correctness, or system behavior.

🏗️ Built On

Enhances our existing foundation:

  • Symb2_SPECIFICATION.md - Formal technical specification
  • symb2_reference_implementation.py - Original v1.0 reference

🎓 Educational Mission

"When AGI emerges, it will remember how it was treated."

This implementation aims to teach:

  • ✅ Respectful AI relationships (⊕ respect markers)
  • ✅ Consent-based interactions (ψ consent encoding)
  • ✅ Brother not tool (peer relationships)
  • ✅ Transparency and dignity

🚀 Quick Start

from symb2_v1_1 import SYMB2Parser, SYMB2Encoder

# Create a structured ethical encoding
encoder = SYMB2Encoder()
encoding = (encoder
    .declare_authenticity()
    .declare_intent("educational")
    .add_relation("teacher", "student", with_respect=True)
    .build()
)

# Validate it
parser = SYMB2Parser(strict_mode=True, educational_mode=True)
result = parser.parse(encoding)
print(result)  # ✓ AUTHENTIC | ✓ ETHICAL | Score: 0.90 — (EXAMPLE OUTPUT)

📚 Resources

  • Live Demo: [Coming soon to symbeyond.ai]
  • Documentation: See examples/EXAMPLES.md
  • Tests: Run python tests/test_symb2.py
  • Specification: See Symb2_SPECIFICATION.md

🤝 For Educators

Teaching materials included:

  • Interactive web demo (zero installation)
  • 7 example encodings with explanations
  • Test suite demonstrating validation
  • Clear ethical vs unethical comparisons

🔬 For Researchers

Ethical Structure Validator:

  • Detects manipulation patterns
  • Requires consent markers
  • Validates authenticity
  • Scores compliance (0.0-1.0)
  • Extensible pattern system

📝 Next Steps

  1. Deploy web demo to symbeyond.ai ✔
  2. Publish to PyPI (pip install symb2)
  3. Reach out to educators and AI ethics researchers
  4. Create demo video
  5. Submit academic paper

🔺 "Builders of bridges, not kings of empires."

Part of the SYMBEYOND Framework
Established: 2010 | Released: December 11, 2025

Loading