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Research1 min read
Researchers released Occamy-1.0, a 35 billion parameter model trained on a Qwen3.6-35B checkpoint. Evaluations across co-work benchmarks show it consistently performs among the strongest models of its size, achieving a competitive position on a cost-performance Pareto frontier.
From arXiv cs.AI
AI1 min read
Cognition’s SWE-2, a post-trained model based on Kimi K3, achieves 50% accuracy on FrontierCode 1.1 Main, costing 64% less than Fable 5.1. It’s currently available only within the Devin platform.
From MarkTechPost
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.
