有人算了笔时间账：DeepSeek 凌晨2:25发模型，正好卡在硅谷下午下班前，这习惯太有意思了
一位 X 用户发现 DeepSeek 在中国标准时间凌晨 2:25 发布模型，对应 UTC 18:25、旧金山时间 15:25。他同时提到 Moonshot 偏爱符号学，并估算这与美国下班时间正好衔接。帖子用这种时间差调侃中国 AI 实验室发布模型的习惯。
DeepSeek launches models at the end of the workday. Moonshot likes symbolics. > 2:25 AM China Standard Time that's 6:25 PM UTC, or 3:25 PM for me, or 11:25 AM in SF I guess we can take a break for 3.5 hours
SiliconFlow 拿 DeepSeek V4.1 Flash 和 GPT-6 Astra 跑同一个 Three.js 3D 场景提示词，效果打平还便宜一半，提示词直接在评论区自取。
一个搞安全的推友观察到：找漏洞 DeepSeek 和 Opus 打平，但修老系统还得靠 Opus，聊聊算力怎么分配。
DeepSeek 和 MiniMax 完成了新出口规定的备案，之后照常开源。想搞懂开源出海要不要备案的可以看看。
有人发现好几个团队都选了 Hermes 微调加 DeepSeek 底座这条路，趋同到发推调侃，做开源微调的可以看看。
The 4x growth in six months signals how quickly inference demand in China is scaling, and the DeepSeek efficiency figure — 155 trillion tokens daily off one ~5MW cluster — is a concrete benchmark for anyone modelling serving costs. Teams tracking compute infrastructure and API pricing across China and Southeast Asia can use these numbers to benchmark capacity planning.
The naming scheme doubles as a public research roadmap: each version number corresponds to a research question the lab pre-announces in its papers, so version bumps signal direction more than commercial marketing. Practitioners picking between checkpoints can read decimals and dates to judge how much actually changed before spending tokens. The analysis also suggests DeepSeek's reasoning line may fold into the mainline releases, which affects how developers compare it with OpenAI's o-series and other frontier models.
