Open-weight frontier AI models are becoming more capable and widespread, offering unique advantages and risks compared to proprietary systems. This paper identifies 16 technical challenges related to data, training, evaluation, deployment, and monitoring, and argues that true progress requires openness not just in model weights, but also in research methods and evaluations to build a rigorous science of open-model safety.
September 30, 2025
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