2 entries with this tag
June 17: Two major publications — Microsoft's MAI model family deep-dive (7 models, Frontier Tuning, Maia 200 silicon) and a complete guide to building multi-model routing layers. The Microsoft article reveals a genuine independent frontier stack, while the routing guide addresses the single largest cost lever in production AI.
Microsoft Build 2026 unveiled seven new MAI models — led by MAI-Thinking-1 (35B active MoE, 53% SWE-Bench Pro, 97% AIME 25), MAI-Code-1-Flash (5B params, 51% SWE-Bench Pro), MAI-Image-2.5, MAI-Voice-2, and MAI-Transcribe-1.5 — alongside Frontier Tuning, a paradigm-shifting enterprise RL platform that lets organizations build custom models from their own workflows. Combined with Maia 200 silicon co-design, the Mayo Clinic healthcare partnership, and the 'Humanist Superintelligence' philosophy, this is Microsoft's most ambitious push to build a fully independent frontier AI stack. This article analyses the full MAI family, the Frontier Tuning architecture, the RLE paradigm, and where Microsoft sits in the 2026 landscape.