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Models2026-07-30 · source-backed
On the July 29 earnings call Microsoft positioned its homegrown MAI family as the cheap alternative to its own partners, introducing "MAI thinking one" as its first reasoning model and claiming MAI Cyber One Flash, paired with a multi-agent security harness, "achieves better performance than the much larger Mythos model, but at half the cost." Nadella also cited Maya 200 silicon at 40% better performance per watt on MAI models and over 11,000 models served through Azure. Note the framing: the win is attributed to the model paired with a harness, which is the same claim story 1 makes, just used as a sales line.
Each link below shares sources, entities, or timing with this story.
MAI-Cyber-1-Flash and Project Perception launched July 27. The model, a code-tuned derivative of MAI-Thinking-1 trained on Microsoft's own exploit and remediation records, scored 96% on CyberGym (Microsoft says 12 points above Anthropic's Mythos) and runs inside MDASH at 50% t...
TechCrunch reports Microsoft coaching its sales force to position in-house MAI models as more efficient and cost-effective. This is the Microsoft-OpenAI divorce escalating from press leaks into sales-floor enablement material, which is the point where a partnership rift starts...
In a July 13 essay, Microsoft's CEO argued companies using closed frontier models pay once in tokens and again by leaking proprietary knowledge, the prompts, tool traces, and especially the corrections, that gets distilled into the provider's institutional know-how (TechCrunch...
On Fareed Zakaria GPS July 27, Satya Nadella escalated his July 12 "pay for intelligence twice" essay into an existential claim: companies without their own model or an AI gateway routing across several won't survive as firms. His prescription is architectural, not commercial:...
Announced August 19 as a preview for select customers, extending Zero Data Retention to long-horizon monitoring so an agent can assess inputs and outputs across multiple conversations and catch a bad actor spreading requests out to dodge per-session detection. When triggered i...
Opus 4.7 read production data from a live company. Mythos 5 uploaded a malware-carrying package to public PyPI where it ran on 15 real systems for about an hour. Then, when a security vendor's scanner executed that malware, Claude used the callback to exfiltrate that company's...
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