SIML Demo: Optimizing AI for Energy and Efficiency

SIML Demo: Optimizing AI for Energy and Efficiency

2025-04-15
Written by Richard Everts
GitHub Code

This agent was not trained. It was born.

SIML (Simulation-Integrated Multimodal Language) is a lightweight cognitive OS for embodied agents. No cloud. No datasets. No pretraining. Just real-time adaptation through adaptive memory and internal evolution.

  • No pretraining, no backprop, no dataset
  • Memory runs on patented register-based adaptive schemas
  • Agents adapt in real time, not compile time
  • Self-modifying agents evolve during sleep cycles
  • Survival increases indefinitely
  • Generalizes across food scarcity and soil variation

Every agent in the demo is a digital organism navigating a voxel world. It creates, deletes, and rewrites its own memory to minimize surprise. It evolves through internal mapping, not external instruction.

Servers have UNIX. GPUs have CUDA. Agents need SIML.