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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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LLMs1 min read
NVIDIA introduced NV-Reason-CT, a vision language model designed for full 3D computed tomography analysis. It generates structured reports and mimics radiologist reasoning.
From NVIDIA technical blog
Research1 min read
arXiv:2609.13491v1 Announce Type: new Abstract: The strong performance of AI Agents across an impressive variety of tasks is driving an unprecedented investment in agentic infrastructures, however the cost of processing tokens is fast in...
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.
Research1 min read
arXiv:2609.13559v1 Announce Type: new Abstract: Large Language Models (LLMs) with function-calling capabilities are becoming critical for modern agentic AI systems. Nevertheless, current deployments typically route inferences to powerful...
From arXiv cs.AI
Research1 min read
The KuaiRP series achieves stable output quality and domain knowledge through a multi-stage training pipeline. The models match current state-of-the-art performance while maintaining low deployment costs.
From arXiv cs.AI
Research1 min read
Mosaic is a training-free framework for GraphRAG that adapts retrieval policies per query, improving answer correctness and recall. It achieves state-of-the-art results across multiple benchmarks, demonstrating the value of query-specific exploration strategies.
From arXiv cs.AI
LLMs1 min read
A new benchmark, HybridDeepResearch, assesses autonomous agent performance requiring both web search and SQL queries to solve complex analytical tasks. Evaluations show current state-of-the-art models struggle with directional reasoning when integrating structured and unstructured data.
From arXiv cs.CL
LLMs1 min read
IBM Research has released the Granite Time Series PatchTST-FM-r2 model, a state-of-the-art model for time series data. This release includes a commercial-friendly license, enabling broader adoption and integration.
From Hugging Face blog
LLMs1 min read
Researchers introduced UniRRM, a multilingual reasoning reward model and dataset, to improve reward model reliability in open-ended tasks. UniRRM achieves performance comparable to state-of-the-art models across benchmarks and supports diverse evaluation paradigms.
From arXiv cs.CL
Research1 min read
PGP-Clinical-TimeKAN forecasts clinical trajectories using a novel framework combining missingness-aware encoding and a soft organ-system prior. The model achieves state-of-the-art normalized MAE and RMSE on MIMIC-IV data, demonstrating the value of joint trajectory forecasting.
From arXiv cs.AI
LLMs1 min read
We’re introducing SilverTorch, a reimagining of recommendation systems that unifies all retrieval components for user generated content under a unified architecture. SilverTorch shows up to 23.7x higher throughput compared to the state-o...
From Meta AI engineering
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.
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