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
Microsoft Research introduced GigaPath-Flash and GigaTIME-Flash, which lower computational requirements while maintaining performance, enabling larger-scale pathology studies.
From Microsoft Research
Research1 min read
Microsoft Research released Skala 1.1, an updated deep-learning exchange-correlation functional for predictive DFT. This update expands accessibility and provides a benchmark for tracking computational performance.
From Microsoft Research
Research1 min read
Microsoft Research introduced MindTopo, a benchmark designed to assess a VLM's ability to understand topological relationships like paths and knots. This tool provides a new method for evaluating and improving spatial reasoning and planning capabilities in AI models.
From Microsoft Research
Research1 min read
Microsoft Research introduced CARE-X, a new approach to radiology VLMs using auxiliary supervision, reward-aligned learning, and tool-augmented measurement for chest X-ray interpretation. This system aims to create clinically useful models with calibrated predictions and flexible reasoning.
From Microsoft Research
Research1 min read
Microsoft Research released Orchard, an open-source framework designed to simplify the training and evaluation of AI agents. This framework focuses on reducing complexity and enabling strong performance from smaller models, facilitating research in scalable agentic AI.
From Microsoft Research
Research1 min read
Microsoft Research introduced Echoverse, a system that trains computer-use AI agents in deep, evolving environments. This approach addresses agent struggles with multi-step workflows by providing realistic and dynamic training scenarios.
From Microsoft Research
Research1 min read
Microsoft Research introduced EvoLib, a system that transforms deployment experiences into evolving knowledge for LLMs. This allows models to adapt and learn across tasks long after initial deployment, improving performance and reducing the need for retraining.
From Microsoft Research
Research1 min read
Microsoft Research developed a method to verify cryptographic code written in Rust, focusing on SymCrypt. This approach aims to ensure code integrity while maintaining performance and adaptability during implementation and evolution.
From Microsoft Research
Research1 min read
Microsoft Research released Aurora 1.5, expanding the foundation model with 22 new variables, hourly resolution, and ensemble forecasting. This update improves its suitability for real-world weather, climate, and energy applications.
From Microsoft Research
Research1 min read
Flint is an open-source visualization language enabling AI agents to generate expressive charts from concise specifications. It provides a middle ground between simple chart specifications and complex manual chart creation.
From Microsoft Research
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.
