近期关于Cell的讨论持续升温。我们从海量信息中筛选出最具价值的几个要点，供您参考。
首先，An LLM prompted to “implement SQLite in Rust” will generate code that looks like an implementation of SQLite in Rust. It will have the right module structure and function names. But it can not magically generate the performance invariants that exist because someone profiled a real workload and found the bottleneck. The Mercury benchmark (NeurIPS 2024) confirmed this empirically: leading code LLMs achieve ~65% on correctness but under 50% when efficiency is also required.
，更多细节参见新收录的资料
其次，“Accordingly, to the extent Plaintiffs can come forth with evidence that their works or portions thereof were theoretically ‘made available’ to others on the BitTorrent network during the torrent download process, this was part-and-parcel of the download of Plaintiffs’ works in furtherance of Meta’s transformative fair use purpose.”
最新发布的行业白皮书指出，政策利好与市场需求的双重驱动，正推动该领域进入新一轮发展周期。
。业内人士推荐新收录的资料作为进阶阅读
第三，And databases, standalone or as sidecars to your container apps:
此外，Nobody should need to read as much source code as I did to build something. Nobody should need to make as many pull requests as I did. Everything should be easy to use.，详情可参考新收录的资料
面对Cell带来的机遇与挑战，业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考，具体决策请结合实际情况进行综合判断。