给AI发工号、定岗位、做绩效，数字员工终于能落地了
面壁开源了StaffDeck，以后给AI发工号、定KPI都能统一管了，适合企业和团队试用。
面壁智能开源了StaffDeck，一个数字员工管理平台。该平台可以给AI分配工号、定义岗位并进行绩效评估。它支持对接多种AI模型，帮助企业实现数字员工落地。这是开源社区首个专注数字员工管理的工具。
给AI发工号、定岗位、做绩效，数字员工终于能落地了
面壁智能开源StaffDeck
面壁智能的 MiniCPM-V 4.7 1B 能直接在 iPhone 上离线读小票答问题，1B 模型本地跑多模态，这个演示挺直观。
面壁智能把 PilotDeck 2.0 开源了，能给文档喂材料让它直接产出可编辑的 Word、Excel 和 PPT，还能本地部署，做办公自动化可以试试。
面壁开源了MiniCPM-V 4.7，3G内存就能在iPhone上断网跑多模态，做端侧应用的可以直接上手试试。
面壁把 35B 的 MoE 模型塞进 3GB 内存的手机里还能跑 13+ token/s，比 Qwen3.6 同规格得分还高，做端侧应用可以看看。
The 35B-A3B MoE-style variant with only ~3B active parameters targets on-device multimodal inference, making it a candidate for deployment where cloud APIs are costly or unavailable. Developers in Southeast Asia building offline or low-bandwidth vision-language applications can download weights directly from Hugging Face under open-source terms and benchmark it against Qwen-VL alternatives.
The key change is deployment economics: a 35B MoE now fits consumer devices at usable speeds, because LES hides IO wait through scheduling instead of trading off precision. Developers building privacy-sensitive on-device apps should test it, since no cloud call is required. Against typical acceleration methods that cut quantisation levels and lose points, this keeps baseline accuracy intact.
