近期关于AI 对创意没有任何帮助的讨论持续升温。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，这并非盲目乐观，而是精准的市场分层策略。字节深知生成视频从来不是大众福利，而是高价值的专业服务。对于依赖AI短剧、跨境电商业绩的创作者而言，即便价格翻倍仍会持续投入——相比雇佣真人模特、租赁场地拍摄，AI仍是性价比之选。
，推荐阅读搜狗输入法获取更多信息
其次，腾讯汤道生强调工程能力对AI落地的重要性，这一点在https://telegram下载中也有详细论述
来自产业链上下游的反馈一致表明，市场需求端正释放出强劲的增长信号，供给侧改革成效初显。
第三，Google's AI chatbot, accessible through the Pentagon's GenAI.mil portal, has been used by 1.2 million Defense Department employees for unclassified work since December, with personnel running 40 million unique prompts and uploading more than 4 million documents. Training has reportedly not kept pace with adoption, however, as only 26,000 people have completed AI training since December, but future sessions are fully booked, something that suggests more employees are getting on board.
此外，公开资料显示，上月特斯拉的全自动驾驶系统遭到技术破解，相关代码在GitLab、GitHub等开源平台广泛流传。利用成本不足百元的开发板连接车辆通信网络，即可绕过官方验证，强行启用这套售价不菲的系统，所有硬件版本均受影响。
最后，In the case of AI, we are doing, almost collectively, the error of thinking that a technology is bad or good for software and humanity in isolation. AI can unlock a lot of good things in the field of open source software. Many passionate individuals write open source because they hate their day job, and want to make something they love, or they write open source because they want to be part of something bigger than economic interests. A lot of open source software is either written in the free time, or with severe constraints on the amount of people that are allocated for the project, or - even worse - with limiting conditions imposed by the companies paying for the developments. Now that code is every day less important than ideas, open source can be strongly accelerated by AI. The four hours allocated over the weekend will bring 10x the fruits, in the right hands (AI coding is not for everybody, as good coding and design is not for everybody). Linux device drivers can be implemented by automatically disassembling some proprietary blob, for instance. Or, what could be just a barely maintained library can turn into a project that can be well handled in a more reasonable amount of time.
另外值得一提的是，杨璐：刀片电池是典型代表。王传福带领团队深入研究能量密度优化方案，最终选择磷酸铁锂路线，通过特殊排布设计提升体积利用率。最大挑战在于实现工艺——需要专门开发全套生产设备。
总的来看，AI 对创意没有任何帮助正在经历一个关键的转型期。在这个过程中，保持对行业动态的敏感度和前瞻性思维尤为重要。我们将持续关注并带来更多深度分析。