DeepSeek Harness hits 1.54 million daily users, up 468%
DeepSeek 自家的 Harness 一个多月日活从27万涨到154万，增速挺夸张，可以看看这工具是干嘛的。
DeepSeek 的 Harness 产品日活跃用户达到 154 万，较此前增长 468%。团队披露，9 月 30 日的日活为 27.1 万，一个多月内增加超过 100 万用户。
DeepSeek Harness hits 1.54 million daily users, up 468%
The team said daily active users were 271,000 on September 30, up by more than 1 million in just over a month.
DeepSeek Harness 日活破 154 万了，每天跑 92 万亿 tokens，还挂了 3.5 万个插件，马上要开官方插件市场，做插件的可以留意。
Most open MoE knowledge is scattered across engineering blogs and private Slack channels; a consolidated, reproducible guide lowers the barrier for smaller labs to train MoE models instead of falling back to dense architectures. Training teams, ML engineers and researchers can use the runnable code and benchmarked numbers to shortcut months of ablation work. The handbook is hosted free on Hugging Face and sits alongside DeepSeek's own published MoE techniques as a practical reference.
DeepSeek Flash 跑到约 1000 tokens 每秒，靠的是模型驱动的推理基础设施，做实时应用的人可以关注下。
同样 100 美元，不同模型差出 60 倍任务量，选模型前看这组性价比数据能省不少钱。
The benchmark gap over DeepSeek-V4-Flash-Base in the same evaluation setup makes this one of the stronger open base weights released for coding workloads, and day-0 vLLM support means teams can deploy it without custom serving work. Practitioners running RL research or domain adaptation get open base weights plus serving recipes for expert parallelism, KV offload and prefill/decode disaggregation on GB200 and H100 hardware.
