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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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Research1 min read
The DU-NO model achieves superior autoregressive rollout error compared to U-FNO, significantly reducing the number of parameters while maintaining accuracy in wave modeling. This design improves performance for ensembles, uncertainty quantification, and real-time forecasting applications.
From arXiv cs.AI
Agents2 min read
Anima Anandkumar argues that current foundation models are focused on language, not physics, due to data limitations and the scale required for complex physical systems. Neural Operators offer a new approach by integrating data and physical laws to model continuous systems like weather and fusion reactors.
From Latent Space
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: .
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.
