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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
ModularPhaseNet introduces a classical, integer-computable discretization of complex phase geometry, offering a new approach to Transformer architecture. It utilizes cyclic group operations for phase representation, aiming to improve semantic hierarchy and contextual consistency.
From arXiv cs.CL
Agents1 min read
Pathway’s Baby Dragon Hatchling (BDH) architecture is being developed and scaled on Amazon SageMaker HyperPod. BDH-CQ achieved a new cost-efficiency mark on the ARC-AGI-1 benchmark.
From AWS machine learning 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.
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.
