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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LLMs1 min read
arXiv:2609.13582v1 Announce Type: new Abstract: A clinical agent benchmark can report the same verdict on identical inputs while the agent files a materially different order on each run. Such agents order tests, request medications and p...
From arXiv cs.CL
Research1 min read
arXiv:2609.13543v1 Announce Type: new Abstract: LLM agents are predominantly benchmarked on short, single-task trajectories, yet real deployments run for hours under contention, surfacing a different class of failures. We use the Clinica...
From arXiv cs.AI
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.
LLMs1 min read
The House with a Million Windows (HWAMW) is an LLM-based interactive fiction system designed to help users explore personal stories through a restorying intervention, increasing narrative identity. The system generates narrative reframing windows based on different literary styles.
From arXiv cs.CL
LLMs1 min read
A new approach using large language models reduces authorship attribution F1 scores by 60-70% in anonymized text, preserving content quality and readability compared to differential privacy methods.
From arXiv cs.CL
Research1 min read
Research found that financial sentiment tools exhibit different validity depending on the evaluation timeframe. A study using five models and a corpus of securities class actions revealed that same-day predictions align better with human labels than one-day leads.
From arXiv cs.AI
LLMs1 min read
Research found that combining query rewriting with a strong RAG baseline yields significant improvements in retrieval accuracy, primarily due to the complementary nature of different rewriting strategies. A cost-aware router further optimizes this approach, reducing rewriting costs while maintaining performance.
From arXiv cs.CL
LLMs1 min read
A multi-resolution framework is proposed for interpreting human activity traces in workplace agents, capturing different temporal scales for better understanding and prediction.
From arXiv cs.CL
LLMs1 min read
Research shows that overlap with internal circuits in LLMs can predict their ability to generalize arithmetic reasoning across different formats and languages.
From arXiv cs.CL
Research1 min read
A new framework uses neural ODEs to predict constitutive behavior of digital materials, capturing nonlinear, rate-dependent responses across compositions.
From arXiv cs.AI
Models1 min read
Google Images logo surrounded by illustrations of people searching for different images
From Google AI 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.
