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Insights Generator: Automated Failure Mode Analysis for Agents(labs.scale.com)
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You Probably Don’t Need an Agent Framework(towardsdatascience.com)
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The Secret to Reproducible and Portable Optimization: ORPilot’s Intermediate Representation (IR)(towardsdatascience.com)
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Your Churn Threshold Is a Pricing Decision(towardsdatascience.com)
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Agentic Resource Discovery: Let agents search(huggingface.co)
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GLM-5.2: Built for Long-Horizon Tasks(huggingface.co)
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MolmoMotion: Language-guided 3D motion forecasting(huggingface.co)
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How We Made Cloud Browsers 3x Cheaper and Faster(browser-use.com)
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RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation(towardsdatascience.com)
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LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer(towardsdatascience.com)
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Run a Local LLM with OpenClaw on Your Mac Mini(towardsdatascience.com)
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Drilling Into AI’s Financial Sustainability(towardsdatascience.com)
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Introducing The Six Percent Report(scale.com)
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The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem(towardsdatascience.com)
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I Built 11 Models to Predict the 2026 World Cup. They Crown Four Different Champions.(towardsdatascience.com)
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The Protocol That Cleaned Up Our Agent Architecture(towardsdatascience.com)
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How to Effectively Align with Claude Code(towardsdatascience.com)
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GPU Time-Slicing for Concurrent LLM Agents on Kubernetes(towardsdatascience.com)
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Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG(towardsdatascience.com)
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4 Lines You Should Include in Your Claude Skill(towardsdatascience.com)