黄仁勋：今年游戏显卡或会迎来供应紧张
唐山百川机器人共享制造工厂内，整合了800台（套）共享设备和千余名专业人才。前不久，中国科学院力学研究所研发的无源外骨骼仿生机器人就在这里完成样机试制。“工厂科研团队反复优化方案，仅用20天就交付了首台样机。”工厂负责人王孟昭说，“科研机构做‘0到0.8’的技术突破，我们专攻‘0.8到1’的落地转化。”，更多细节参见Line官方版本下载
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It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.