Evo 2, 一种AI模型,对数万亿DNA序列进行了培训,预测了功能性遗传要素,加速了研究,但需要验证和提出生物安保关切。 Evo 2, an AI model trained on trillions of DNA sequences, predicts functional genetic elements, accelerating research but requiring validation and raising biosecurity concerns.

Evo 2是一种新的人工智能模型,对不同物种的DNA基对进行了数万亿种的培训,可以预测并产生功能遗传序列,加速基因组注解和合成生物学研究。 Evo 2, a new AI model trained on trillions of DNA base pairs across species, can predict and generate functional genetic sequences, accelerating genome annotation and synthetic biology research. 它确定基因、监管要素,并建议合成DNA结构,协助药物开发、作物工程和基础科学。 It identifies genes, regulatory elements, and suggests synthetic DNA constructs, aiding drug development, crop engineering, and basic science. 然而,AI预测需要实验验证,因为计算结果不能保证生物功能。 However, AI predictions require experimental validation, as computational outputs don’t guarantee biological function. 该技术引起对生物安保的关切,因为可能滥用来制造有害物剂,突出表明需要全球监督、透明度和道德治理,以确保安全和负责任地使用。 The technology raises biosecurity concerns due to potential misuse in creating harmful agents, highlighting the need for global oversight, transparency, and ethical governance to ensure safe and responsible use.