SAGI is a novel causal language model that integrates swarm intelligence dynamics with transformer architecture. The model treats cognition as a dynamic, adaptive system where multiple internal «agents» collaborate through differentiable routing, trust mechanisms, and shared memory. — Developmental Stages: Milestone-based progress tracking — Cross-Domain Transfer: Evaluation of knowledge transfer abilities — AGI Readiness Metrics: Overall assessment of AGI capabilities The enhancements were integrated with the existing AGI system through: 1. Compatibility Layer: Ensuring new components work with existing AGI Core 2. Unified State Representation: Combining enhanced capabilities with existing state 3. Enhanced Continuous Learning: Upgrading the learning system with new capabilities 4. Performance Monitoring: Tracking improvements through validation systems — Successfully integrated all 9 enhancement areas with the existing system — Achieved an AGI readiness score of 0.283 (on a 0-1 scale) — Demonstrated improved capabilities across multiple cognitive domains — Maintained compatibility with existing architecture and workflows — Established baseline for continued development toward…
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Автор: reaperdoesntknow
Теги: swarm_agi, swarm, ai, agent, llm, convergent, cpu, fp32
Лайков: 3 | Загрузок: 1,761
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
