Advanced Context Models for Large Language Models
We specialize in synthetic human simulation and roleplaying agents, pushing the boundaries of context modeling for both LLMs and emergent non-LLM architectures. Our research focuses on the power of social connection in simulation, modeling veracity, and enhancing performance through advanced contextual frameworks.
For licensing inquiries and research collaborations:
Contact @seanmcdonaldxyzDesign Principles
Advanced context modeling through specialized architectures
Luminants
Pattern-recognizing entities that process information through luminescence
Synthenomes
Semantic structures that propagate through coalescence of meaning
Cognizomes
Self-generating recursive entities with emergent intentions
Social Dynamics
Multi-agent interaction frameworks for emergent behavioral modeling
Veracity Systems
Truth-seeking architectures for enhanced contextual understanding
Synthetic Humans
Advanced roleplaying agents with deep contextual awareness
Public Releases
Our First Package (2024)
ATAT - Email Client for AI Agents. A production-ready system for testing and experimentation.
View on GitHubComing in 2025
Our next major release will introduce revolutionary features in semantic computing. Stay tuned.