CITP<p>New commentary in <span class="h-card" translate="no"><a href="https://sciencemastodon.com/@nature" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>nature</span></a></span> from <span class="h-card" translate="no"><a href="https://micro.blogs.princeton.edu/@PrincetonCS" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>PrincetonCS</span></a></span> professor Arvind Narayanan (<span class="h-card" translate="no"><a href="https://mastodon.social/@randomwalker" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>randomwalker</span></a></span>) & PhD candidate Sayash Kapoor (<span class="h-card" translate="no"><a href="https://mastodon.social/@sayashk" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>sayashk</span></a></span>) about the risks of rapid adoption of AI in science - read: "Why an overreliance on AI-driven modelling is bad for science" 🔗 <a href="https://www.nature.com/articles/d41586-025-01067-2" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/d41586-025</span><span class="invisible">-01067-2</span></a></p><p><a href="https://micro.blogs.princeton.edu/tags/CITP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CITP</span></a> <a href="https://micro.blogs.princeton.edu/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://micro.blogs.princeton.edu/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a></p><p>Illustration: Denis Freitas</p>