graduated-autonomy
The graduated-autonomy primitive for production classification. Rules graduate to LLM, then to in-process ML, through statistically-gated phase transitions. The rule stays as the safety floor
Fast and scalable neuronal fiber and network simulator. Implement and train high-throughput CPU- and GPU-compatible models.
