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AI2 min read
Microsoft Discovery Engine with CLIO achieved higher scores than other agentic harnesses on the Agent’s Last Exam benchmark, demonstrating an adaptive approach to scientific discovery. This platform offers a new way for R&D organizations to explore complex problems through iterative experimentation and learning.
From Microsoft Azure AI blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
