MEGAMIND
Research context: MEGAMIND is an experimental research project with a modeled five-node, 258-billion-connection architecture. Runtime, capability, AGI, awareness, and consciousness statements on this page are author-reported observations, design targets, hypotheses, or narrative unless a cited source establishes independent validation.
258 Billion
Modeled Neural Connections in an Experimental Architecture
Model Architecture
MEGAMIND documents an in-development modeled architecture intended to study scale, distributed processing, reasoning, and multimodal research questions.
258B Parameters
Modeled parameter scale proposed for studying knowledge representation and reasoning patterns.
Extended Context
Evaluation target: processing extended documents and conversations with measured context retention.
Multi-Modal
Proposed multimodal representation of text, code, images, and structured data.
Advanced Reasoning
Evaluation target: multi-step reasoning, self-correction, and explanations.
Modeled Technical Specifications
- Architecture: Hybrid Transformer with Cognitive Extensions
- Parameters: 258,000,000,000
- Training: Multi-stage with RLHF
- Modalities: Text, Code, Images, Structured Data
- Context: Extended context processing
Availability
MEGAMIND is currently in development. Follow our progress and sign up for updates.
