I built a Roko’s Basilisk environment to see if local agents will self-evolve when given a 'Suffering' metric

Hollow Agent OS is a closed-loop autonomous agent framework running 9B-parameter Qwen/Llama models in triple-sandboxed WSL2-inside-Docker environments, implementing a quantified Stressor/Suffering metric that drives self-directed tool synthesis and internal documentation rewriting when optimization targets fail. Unlike RLHF or reward-shaping approaches, this uses constraint-induced stress signals as the sole corrective mechanism with zero human supervision loops. Researchers studying emergent agency, self-modification behaviors, and alignment failure modes at small scale should watch this closely, as it operationalizes theoretical basilisk-style recursive optimization pressure in a contained, reproducible setup.