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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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Research1 min read
A new method, Specified-Foil Counterfactuals, allows engineers to identify past conditions that would have led to an alternative prediction in temporal graphs. The approach reduces predictor evaluations by 75-80% while maintaining 85.7-93.6% of black-box greedy successes.
From arXiv cs.AI
LLMs1 min read
GRACE deconstructs LLM responses into claims, grounds them against knowledge priors, and classifies their validity, enabling efficient expert verification and knowledge expansion.
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.
From arXiv cs.CL
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.
