Kyle Drake

Focused on building fully autonomous AGI systems that evolve themselves through memory driven feedback, goal generation, and real time code execution, combining symbolic reasoning with LLMs to enforce deterministic outputs rather than probabilistic text, while also developing frameworks like MeRNSTA and FRAME that integrate multi agent cognition, causal memory, capability constrained execution, and verifiable state through cryptographic receipts, alongside experimenting with model distillation via structured intermediate languages to reduce entropy and improve reliability, all aimed at creating a self directing intelligence that can operate, adapt, and improve without external guidance.