「要拿到基本資訊竟這麼難以置信，」斯特恩寫道。愛潑斯坦建議像對待「出軌女友」般對待她——斯特恩回覆說這方法「有效」。
“I’m like, holy shit, what if this software went down, some guardrail picked up, some refusal happened for the next fight like this one and we left our people at risk?” Michael recalled. “So I went to Secretary Hegseth, I said this would happen and that was like a whoa moment for the whole leadership at the Pentagon that we’re potentially so dependent on a software provider without another alternative.”，推荐阅读新收录的资料获取更多信息
Players have to pay for chests or boxes and the keys to be able to open them in Valve’s games, and the company has reportedly sold billions of dollars’ worth of keys for Counter-Strike alone. The lawsuit said that Valve has made tens of millions of dollars in fees from the sale of virtual items on the Steam Community Market, as well. In addition to being able to sell items on Steam for funds directly credited to their Steam Wallet, players can also sell on third-party marketplaces for cash.。新收录的资料是该领域的重要参考
Abstract:Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as evidenced by benchmarks like SWE-bench. However, in the real world, the development of mature software is typically predicated on complex requirement changes and long-term feature iterations -- a process that static, one-shot repair paradigms fail to capture. To bridge this gap, we propose \textbf{SWE-CI}, the first repository-level benchmark built upon the Continuous Integration loop, aiming to shift the evaluation paradigm for code generation from static, short-term \textit{functional correctness} toward dynamic, long-term \textit{maintainability}. The benchmark comprises 100 tasks, each corresponding on average to an evolution history spanning 233 days and 71 consecutive commits in a real-world code repository. SWE-CI requires agents to systematically resolve these tasks through dozens of rounds of analysis and coding iterations. SWE-CI provides valuable insights into how well agents can sustain code quality throughout long-term evolution.。PDF资料是该领域的重要参考