The attack surface of frontier language models is significantly larger than traditional adversarial attack settings, such as those found in computer vision. This vastness arises from the immense variety of text sequences that language models can process, leading to an exponentially increased potential for exploitation. Consequently, instead of merely addressing specific issues with existing models, there is a pressing need for fundamental breakthroughs in safety research to create more generalizable and effective guardrails for these sophisticated models.

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