AI-designed antivenoms are emerging through advanced machine learning models like RFdiffusion, which shifts focus from mainstream large language models (LLMs) to innovative applications in healthcare, particularly in developing proteins that can neutralize snake toxins. The success of such models is evidenced by findings that certain designed protein binders provided complete protection to test subjects, showcasing the potential of AI to solve critical medical challenges. This highlights a significant trend in leveraging AI for drug discovery and protein design, emphasizing the need to channel interest into practical applications beyond traditional uses of AI.