Blog
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
New compression methods risk damaging critical reasoning circuits in Large Reasoning Models (LRMs) by applying uniform quantization. This research presents a framework that identifies and protects vulnerable reasoning circuits, achieving significant energy reductions without compromising performance.
From arXiv cs.AI
AI1 min read
MIT researchers focus on electrolytes to enhance sodium-metal batteries, making them more practical for energy storage applications.
From MIT News: artificial intelligence
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.
