4 Matching Annotations
  1. Last 7 days
    1. I have worked in AI on clinical research trials and can see (even from my area in biology based AI research) that the world must not have a Chernobyl moment.

      评论者提到AI在临床研究中的应用,并强调避免"Chernobyl moment"的重要性。这一观点值得深入了解,特别是AI在医疗领域的应用以及相关的安全考量。同时需要评估AI在生物医学研究中的具体应用和潜在风险。

  2. Jun 2026
    1. In this task, various AI models were evaluated on their ability to predict how a genetic modification would impact the assembly of the virus's outer shell (among a set of therapeutically-relevant unpublished candidates developed by Dyno Therapeutics). We did not explicitly train our models to perform this task—and yet Mythos-class models outperformed sophisticated models dedicated to protein tasks (known as 'protein language models') using their biological reasoning alone.

      大多数人认为AI模型需要专门训练才能完成特定领域的专业任务,但作者认为即使没有专门训练,Mythos-class模型也能在生物医学领域超越专业模型。这挑战了人们对AI专业化训练的普遍认知,暗示通用AI可能比专业模型在某些领域表现更好,因为它们能够进行更广泛的推理和模式识别。

  3. Jun 2020
  4. May 2020