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。
The current separation between training and deployment is not just an engineering convenience – it is a safety, auditability, and governance boundary. Open it, and several things break at once.
这个观点揭示了持续学习背后的深层挑战。作者指出，训练和部署的分离不仅是工程便利，更是安全、可审计性和治理的边界。这提出了一个令人不安的问题：如果我们允许AI持续学习，我们可能会失去对系统的控制和理解，这是否值得冒险？