How Google’s TPUs are reshaping the economics of large-scale AI

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The AI that scored 95% — until consultants learned it was AI

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Mistral launches powerful Devstral 2 coding model including open source, laptop-friendly version

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Databricks' OfficeQA uncovers disconnect: AI agents ace abstract tests but stall at 45% on enterprise docs

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Brand-context AI: The missing requirement for marketing AI

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Tracking every decision, dollar and delay: The new process intelligence engine driving public-sector progress

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Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

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Anthropic's Claude Code can now read your Slack messages and write code for you

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Booking.com’s agent strategy: Disciplined, modular and already delivering 2× accuracy

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Design in the age of AI: How small businesses are building big brands faster

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Why AI coding agents aren’t production-ready: Brittle context windows, broken refactors, missing operational awareness

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AI denial is becoming an enterprise risk: Why dismissing “slop” obscures real capability gains

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AWS launches Kiro powers with Stripe, Figma, and Datadog integrations for AI-assisted coding

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Gong study: Sales teams using AI generate 77% more revenue per rep

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GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs

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Anthropic vs. OpenAI red teaming methods reveal different security priorities for enterprise AI

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Inside NetSuite’s next act: Evan Goldberg on the future of AI-powered business systems

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The 'truth serum' for AI: OpenAI’s new method for training models to confess their mistakes

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Nvidia's new AI framework trains an 8B model to manage tools like a pro

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Gemini 3 Pro scores 69% trust in blinded testing up from 16% for Gemini 2.5: The case for evaluating AI on real-world trust, not academic benchmarks

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