人机界面设计副总裁 Steve Lemay 的加入同样备受关注。
The only iterative builtin
。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.，详情可参考新收录的资料
但无论结果如何，这场“世界模型”之争已经深刻改变了AI行业的格局。它提醒我们，即使在技术飞速发展的今天，关于“什么是智能”、“如何构建智能”这些根本性问题，仍然没有标准答案。而正是这些分歧和探索，推动着人类不断向真正的通用人工智能（AGI）迈进。，这一点在新收录的资料中也有详细论述
At least 169 killed in raid near Sudan border as clashes between government and opposition forces intensify