2026-09-03 — Microsoft ships MAI-Transcribe-2, a second vertical in-house model undercutting OpenAI/Google/ElevenLabs

• Microsoft AI released MAI-Transcribe-2, an in-house speech-recognition model it says beats OpenAI’s GPT-Transcribe, Google’s Gemini 3.5 Transcribe and ElevenLabs’ Scribe v2 on speed while costing $0.10 per audio hour — a 72% cut from the $0.36/hour of the prior MAI-Transcribe-1 (five months earlier), covering 60 languages (up from 43), with diarization, word-level timestamps and code-switching support. It is Microsoft AI’s second domain-specific model after MAI-Cyber-1-Flash (07-27): narrow in-house models built to compete with OpenAI and Google in specific verticals rather than at the general frontier. ⚠️ Microsoft’s own announcement could not be opened (its newsroom refuses automated fetches); the figures come from secondary coverage, and the exact release date is 09-03 or 09-04. (Neowin, Unite.AI)

2026-08-27 — Microsoft’s superintelligence lead publicly frames the unit’s direction as AI self-sufficiency (single-sourced)

• Ali Farhadi, the executive Microsoft installed under Mustafa Suleyman to lead its superintelligence effort, is quoted pointing the company toward AI self-sufficiency — directly on this thread’s central question (how far in-house MAI models displace OpenAI dependence). ⚠️ Only one outlet found covering this specific framing (GeekWire); treat as a single-source data point pending wider pickup, not a confirmed strategic pivot. (GeekWire)

2026-07-27 → 08-13 — Four MAI models ship; the backlog stays half-OpenAI

Logged 2026-08-18, twenty-two days late. The read: hedging intensified in degree, not in kind.

• MAI-Cyber-1-Flash and “Project Perception” (07-27) — Microsoft’s first in-house cybersecurity model plus an agentic cybersecurity system, claimed to beat OpenAI, Anthropic and Google on a security benchmark (MDASH, 95.95%) at half the cost. The first MAI model marketed as outperforming frontier rivals rather than merely being cheaper than them — which is a different claim from anything in this thread so far.
• MAI-Code-1.1-Flash shipped inside GitHub Copilot (08-11/12) at a 73% price cut on the prior coding model, positioned explicitly against DeepSeek and other Chinese coding models. MAI-Thinking-1, billed as Microsoft’s first reasoning model, went live in Microsoft Foundry (08-13). An MAI Realtime voice model was spotted in testing 08-02. Four surfaces — cyber, code, reasoning, voice — in eighteen days.
• Against that, FY2026 Q4 (07-29) shows the entanglement deepening in absolute terms. Azure crossed $100B in annualized revenue for the first time (+43%); Microsoft 365 Copilot paid seats went 20M → 30M, the fastest quarterly growth since launch; and commercial RPO hit $678B (+84%), with roughly 45% — about $250B — still tied to OpenAI. CFO Amy Hood noted RPO ex-OpenAI grew 25%. (Microsoft IR)
• The synthesis this thread exists for: shipping in-house models hard into Copilot’s cyber and coding surfaces while nearly half the contracted backlog remains OpenAI-dependent is a parallel-track hedge intensifying, not a decoupling. The question the thread should now ask is narrower: does the OpenAI share of RPO fall in absolute terms in any quarter, or only in percentage terms as the denominator grows?

2026-07-27 — First vertical MAI model

• Microsoft launched MAI-Cyber-1-Flash + “Project Perception” — its first in-house model built for cyber workflows, an agentic security platform launched at a SF event; a direct challenge to Anthropic/Google/OpenAI in the security vertical and the first MAI model aimed at a domain rather than general Copilot duty. Critic-caught (benchmark miss, folded at 07-27 finalization). (TechCrunch)

2026-07-21 — The hedge widens to Mistral

• Microsoft expanded its Mistral partnership — frontier Mistral models deployable in fully disconnected Azure environments for regulated industries; a fourth leg of the multi-supplier hedge. (Microsoft Source)

← Backstory

2026-06-28 — Thread opened

• Microsoft shipped 7 in-house MAI models, saying it was “set free” from the OpenAI contract to pursue superintelligence — the most important giant-vs-lab decoupling; a three-way hedge (OpenAI/Anthropic/in-house).