Microsoft announced two new text LLMs: MAI-Thinking-1 (35B parameters, reasoning) and MAI-Code-1-Flash (5B parameters, code). Both are trained on clean, licensed data without distillation, with MAI-Thinking-1 claiming preference over Sonnet 4.6. MAI-Code-1-Flash is rolling out to GitHub Copilot users in VS Code.

Accelerated computing has revolutionized industrial engineering, compressing simulation times from weeks to hours. Today’s remaining challenges sit in the end-to-end workflow surrounding the simulations: computer-aided design, meshing, simulation setup and debugging, as well as post-processing and generating summary reports of these processes. At GTC Taipei at COMPUTEX, NVIDIA and more than a dozen engineering software providers are showcasing how autonomous AI agents automate this entire workflow. These AI engineers are based on NVIDIA NemoClaw, an open blueprint for building specialized, long-running agents with a secure runtime and frontier models.

Genpact and Databricks built an operational workbench that sits directly on Unity Catalog gold views, giving billers a purpose-built UI with a denials queue, remittance drawer, timely-filing age alerts, and one-click appeal drafting. GenAI integration with Claude will auto-draft appeal letters.

Simon Willison released datasette-agent-micropython 0.1a0, which embeds MicroPython in a WASM sandbox to enable Datasette Agent to safely generate and execute Python code. So far, GPT-5.5 has failed to break out of the sandbox.

Simon Willison released micropython-wasm 0.1a1, a Python library for running a MicroPython sandbox using WebAssembly. This version fixes limitations that emerged while building datasette-agent-micropython.

At Microsoft Build, NVIDIA and Microsoft announced an expanded partnership to deliver agentic AI across Windows devices, Azure cloud, and local deployments, featuring new hardware, software, and services.