Throughout writing this, I ended up in all sorts of tangents that I’ve ended up deleting because they made everything too long and convoluted — I will try and put some of these tangents in a future follow-up post, because I think they’re interesting.
And our IT systems just traditionally haven’t been super effective at being able to standardize those orders. We’re able to use AI agents to take hundreds of thousands of man-hours out of the system, where we don’t have to touch orders; they can be standardized, processed in our system, and it nets out in material savings for us. A lot of that work was outsourced already, so that’s not necessarily saving our employees a lot of time, but it is kind of saving the bottom line a bit of time. So when we did a couple of different gut checks on what we think the impact of AI was going to be this year, we saw it in the neighborhood of a million to a million plus man-hours of savings that we can redeploy.
Cyrillic homoglyphs: the real threat，详情可参考新收录的资料
在当时，这被视为一个伟大的科学畅想，但在实战中却因算力瓶颈与架构断层而悬而未决。今天，我们在联想与联宝的极限道场中，通过自主研发的 IPC（智能计划与控制）算法内核，不仅实践了钱老当年的畅想，更在工程学层面完成了对这一科学定论的“坚强实证”。，详情可参考新收录的资料
三个问题叠加，注定了豆包手机助手的困境。但豆包手机的困境，不只是一个产品的挫折，它标志着一个时代的转折：，这一点在新收录的资料中也有详细论述
拆解这份刚上市不足两月的成绩单，你会发现，中国 AI 的下一个答案，或许就藏在它的规模与效率之战中：