console.log(element.textContent);
10 additional monthly gift articles to share
。关于这个话题，新收录的资料提供了深入分析
1 day agoShareSave
The academics described how they began working together as a loose, organic connection that involved them reading each other’s Substacks and commenting back and forth on X. (Imas described it as a “Twitter-Substack brotherhood.”) Nguyen told Fortune that the spark for this particular research began with a tweet that Hall posted about MoltBook, the social network for agents to “talk” to each other that some critics dismissed as a hoax. But not these academics. “A few of [the agents] talked about Marxism,” Nguyen said. “And then those few that did got upvoted a lot by other OpenClaws. And I think Andy just tweeted out, ‘Hey, what’s this all about? I think we can go back and find the truth.'”
。新收录的资料是该领域的重要参考
Save me time, and no magic pleaseSo we did a hard reset on our AI ambitions. Instead of shipping the whole kitchen sink, what if we focus on one time consuming task in the critical path of our users? One repetitive, but critical taks that came to mind is triaging a failed Playwright Check test. Specifically, could we use LLMs to quickly create an analysis of a Playwright trace file?
Any Downsides ?，详情可参考PDF资料