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
A systematic review traces the development of AI in recruitment from bilateral retrieval to multi-stage workflows, highlighting evaluation gaps and future directions.
From arXiv cs.AI
Models1 min read
Basis, Clay, and Exa Labs employ AI agents to improve onboarding, account management, and developer integrations, demonstrating enterprise applications of AI agents.
From OpenAI news
LLMs1 min read
NVIDIA announced BioNeMo NIM microservices for protein structure prediction integrated with Claude Science, enabling scalable AI-driven research workflows.
From NVIDIA technical 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.
