Small Models Defeat Frontier LLMs in Adversarial Defense Benchmark

This benchmark reveals a critical blindspot in frontier LLM design: models optimized for alignment perform poorly at defending against adversarial attacks, while smaller, uncensored open-source models emerge as real threats. Sovereign Hive's 98% defense rate using 1.5B–8B parameter models on a single GPU demonstrates that in AI security, architecture beats scale, signaling a paradigm shift toward efficient, local-first defense systems.