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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AI1 min read
The CrysVCD tool reduces time and costs in screening chemically unstable material designs, aiding real-world applications.
From MIT News: artificial intelligence
Research2 min read
Google Research introduced the Biomarker Discovery Framework, a multi-agent system for identifying potential biomarkers from wearable sensor data. The framework utilizes an iterative research loop with statistical rigor and human oversight to accelerate biomarker discovery across diverse datasets.
From Google Research blog
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
We raised $800M to accelerate the shift to open-source AI. Here's why the economics of closed models don't scale, and what we're building next.
From Together AI blog
Research1 min read
Google DeepMind and the UK government have collaborated on an AI prototype to accelerate housing planning decisions. The system utilizes AI to analyze planning data, aiming to reduce the time taken for approvals.
From Google DeepMind 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.
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