Developed by Swandaru Tirta Sandhika | SIGMAPrompt Contributor
This repository contains a series of experimental modelling prototypes designed to simulate, analyze, and architect the next evolution of GPT (Generative Pre-trained Transformer), specifically aligned for GPT-5 and beyond.
To develop an open prototype modelling framework based on strategic feedback and alignment input to strengthen the future architecture, safety, and learning adaptability of LLMs (Large Language Models).
- ✅ Prompt Abuse Detection DSL (SIGMA Prompt Guard)
- ✅ Technical Fault Protection & Early Shutdown Protocol
- 🔄 AGI-Compatible Heat Modelling for Humanoid Agents
- 🔄 Quantum Relay & Multi-Region Latency Mapping
- ✅ Global Outreach-Ready JSON/API Prototypes
- Modular SIGMA Layer API (Node & Python)
- Self-Retreat Logic for AGI Robotics
- Multi-region YAML Sync + Localization
All development here reflects contributions intended for internal OpenAI teams, reinforcement learning researchers, and aligned contributors across SEA (Southeast Asia) and global ethical AI communities.
Swandaru Tirta Sandhika
GitHub Profile | LinkedIn
Part of the SIGMA Prompt OpenAI Alignment Initiative
Open Research – For internal prototyping and educational purposes only.
No commercial use or deployment without written consent.