The pace of advancement in AI capabilities is outstripping the progress in ensuring robustness. The development of models like GPT-7 is anticipated to be significantly more capable and potentially intimidating. Improving robustness is crucial, and defenses could alter the landscape significantly. Despite incremental increases in scale, models like GPT-4 are proving harder to crack than their predecessors. Emphasizing safety fine-tuning may enhance effectiveness. The focus on enhancing AI robustness alongside capabilities is vital to ensure success in the field.

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