Activault

Today's open-weight frontier models have reached unprecedented performance levels, with reasoning and non-reasoning architectures matching or surpassing proprietary closed-source models on benchmarks[1][2]. Currently, frontier models are treated as black boxes—vast input-output systems that process data and produce outputs without interpretability, transparency, or attribution. As models continue to advance and find broader application, reverse-engineering their inner workings becomes vital for downstream reliability and efficacy.