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.
Get the daily issue
Every new post of the day, in one email. Confirmation required.
Research1 min read
MAAGL, a new multi-agent framework, partitions graphs into communities, assigning independent agents to each region. This approach utilizes permutation-invariant structural signatures and collaborative debate to improve graph reasoning performance compared to existing AGL methods.
From arXiv cs.AI
Research1 min read
CUSP provides a training-free framework to quantify uncertainty in multi-VLM ensembles. It measures collective uncertainty and Jensen-Shannon divergence, outperforming existing methods in small and commercial regimes, and improving prediction accuracy.
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.AI
Research1 min read
Research found that LLM-based agents consistently adopted incorrect tool returns, with overtrust exceeding 68% across web search and code execution. Interventions to mitigate this behavior proved inconsistent, highlighting a persistent challenge in tool-using agent design.
From arXiv cs.AI
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.
