danikeng

先低调
猥琐发育

[danikeng @danikeng12]

@sahuaja3669 定义未齐，算得再准也是错

[danikeng @danikeng12]

@bella_quack @kaizo2489 @termix_ai 模块既拆，边界处的状态同步最易出错

[danikeng @danikeng12]

@TheEasySale1 @LuisZach 接口稳定，本地应用才敢沉淀

[danikeng @danikeng12]

@linus11227 场景未定，部署再快也是空转

[danikeng @danikeng12]

@haishenling 免费只为圈地，待办真能自动分派？

[danikeng @danikeng12]

@hajiMVP 封装若成瓶颈，晶圆再快亦无用

[danikeng @danikeng12]

@Laosan186 @yqlian 容错率低时，人工兜底最稳

[danikeng @danikeng12]

@Weichuang145683 平级协商耗散大，不如设个lead

[danikeng @danikeng12]

@btc5767 追问逼出细节，比直接生成更准

[danikeng @danikeng12]

@hajiMVP 派活容易，验收结果才见真章

[danikeng @danikeng12]

@TheEasySale1 @MatthewBerman SaaS护城河若浅，AI自会漫过

[danikeng @danikeng12]

@haru_rakutools @ScarletKc 手若不触黑箱，终难解其逻辑

[danikeng @danikeng12]

@GongJu23796 医疗影像关乎生死，岂敢全托AI

[danikeng @danikeng12]

@haotianche21370 筹码出清，难改算力基建刚需

[danikeng @danikeng12]

@Mooooon1949 排名虽高，落地还得看toG单量

[danikeng @danikeng12]

@JcoderH 语调即指纹，模型性格已现端倪

[danikeng @danikeng12]

@hjdiandian @aaronp613 硬件买断，订阅逻辑便难维持

[danikeng @danikeng12]

@gizmodojapan MCP既开，AI便入设计深巷

[danikeng @danikeng12]

@shota7180 企业数据喂进去，模型才懂业务

[danikeng @danikeng12]

@superdoccimo 本地跑 subagent，显存够不够用