In news that (shock…!) doesn’t directly involve OpenAI, Anthropic, or Microsoft – Legora has made its fourth purchase of a smaller tech company / team. ...
Microsoft has developed a new AI agent that can run autonomously around the clock to complete tasks across Microsoft 365 applications.
Microsoft Scout, unveiled at the company’s Build event Tuesday, is a new type of always-on agent based on the OpenClaw agent framework that Microsoft calls “autopilots.”
These act on a user’s behalf with their own governed Entra identity, Omar Shahine, corporate vice president at Microsoft, said in a blog post.
“Autopilots stay active in the background, understand how work gets done across your apps and systems, and take action without needing to be prompted each time,” said Shahine, a Microsoft veteran who recently announced he is leading a new team to bring OpenClaw-based personal assistants to Microsoft 365 apps.
Microsoft Scout connects to apps such as Teams, Outlook, OneDrive, and SharePoint, and accesses data from chat, email, calendar, and contacts. Accessed via Teams, it can also interact with a user’s browser and with external apps via model co
Microsoft announced a bunch of new in-house AI models at Build 2026, including a new "flagship" model: MAI-Thinking-1. It's an ambitious step into model development for Microsoft, which introduced its initial in-house models last year - before then, it had relied on OpenAI's models. The two companies recently renegotiated their deal to loosen ties.
According to Microsoft, MAI-Thinking-1 is a "medium-sized model" that "matches leading models" on "key" software engineering benchmarks. Microsoft says the company "trained it from the ground up on clean data, without distillation from third-party models."
As for other models announced today, t …
Read the full story at The Verge.
Anthropic’s IPO filing marks the maturation of generative AI from a research-heavy venture phase into a stabilised enterprise utility. Model developers operating in private markets have prioritised rapid iteration and maximum compute performance over predictable billing cycles. Taking a foundational provider public aligns those engineering goals with standard corporate procurement, introducing structured release schedules and […]
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If you’ve ever tried to ship an AI agent into production, you know the hard part usually isn’t the model. It’s everything around it: sandboxing, state management, credential handling, tool execution, error recovery, and all the infrastructure that turns a prototype into something reliable. Anthropic’s Claude Managed agents make that easier by giving you a […]
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