Felipe Muniz

Neurogenesis Reinforcement Learning Language Model

We propose the Neurogenesis Reinforcement Learning Language Model (NRLLM), a research framework in which stable linguistic mastery can trigger endogenous growth of a language agent trained through reinforcement learning. Godrick is the proposed experimental realization. Its defin...

Neurogenesis Reinforcement Learning Language Model

We propose the Neurogenesis Reinforcement Learning Language Model (NRLLM), a research framework in which stable linguistic mastery can trigger endogenous growth of a language agent trained through reinforcement learning. Godrick is the proposed experimental realization. Its defin...

Persistent Causal State for Operating-System Enforcement Engineering a Stateful, Auditable, and Fail-Closed Linux Policy Runtime

Most operating-system enforcement mechanisms decide from the current request: an executable, a credential, a path, a socket address, or a static label. This local view is efficient and dependable, but it cannot directly express risk that emerges from a sequence of individually or...