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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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AI1 min read
Anthropic has launched a new evaluation process for Claude Code plugins, allowing developers to measure skill triggering, survival across edits, and performance against a bare model. This workflow uses six grader types, costing $0.41 per run and providing detailed insights into plugin effectiveness.
From MarkTechPost
Research1 min read
DeepMind has piloted the first double-blind evaluation process for AI systems, aiming to improve assessment objectivity and reliability in model performance testing.
From Google DeepMind 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: .
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.
