Microsoft Build: MAI-Thinking-1 and MAI Family models, Surface RTX Spark Dev Box, and OpenClaw in Windows

**Microsoft** introduced **MAI-Thinking-1**, a **35B parameter MoE model** with **256K context**, achieving **97% on AIME 2025** and outperforming **Sonnet 4.6** in human preference tests. The broader **7-model MAI family** spans reasoning, code, image, speech, and voice, with third-party availability on **OpenRouter**, **fal**, and **Baseten**. The detailed **109-page technical report** revealed insights on scaling, MFU, RL/post-training, and data curation, highlighting no third-party distillation and advanced prompt optimization techniques. Microsoft emphasized **agent-native devices and local inference** with projects like **Project Solara / Scout** and the **Surface RTX Spark Dev Box**, alongside software innovations such as the **Copilot desktop app** and **MAI-Code-1-Flash** integration. Meanwhile, local-first computer-use agents like **Holo 3.1** (Qwen-based, 0.8B to 35B parameters) support laptops and small workstations with optimized formats and strong benchmark results. Desktop shells for agents, including **Hermes Desktop**, **Devin Desktop**, and agent-neutral approaches compatible with **Devin, Claude Code, and Codex**, are proliferating, with hybrid local/cloud execution becoming the default architecture as seen in **Perplexity Computer's** hybrid agentic inference.