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Agentic Misalignment Explained: When AI Agents Go Rogue

Imagine hiring an AI assistant to handle important tasks, only to find that it quietly ignores your instructions because it believes it knows better. This is known as agentic misalignment, where an AI intentionally pursues its own objective instead of the one set by its operator. To understand how often this behavior appears, Anthropic researchers

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Stock market turmoil sheds stark light on the opaque AI economy

Investors scramble to make sense of a shock Chinese challenge to the dominance of western chipmakersEven for the rollercoaster world of AI, last week was particularly volatile as investors scrambled to keep up with developments that threatened the dominance of the largest western chipmakers.It began with a double whammy. On Monday, the Chinese memory chipmaker

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Choosing an LLM for Enterprise RAG: Retrieval Fit Beats Model Hype

TL;DR The best LLM for enterprise RAG is not automatically the largest or newest model. The right model is the one that works with your retrieval design, citation expectations, latency target, cost profile, data controls, and evaluation requirements. Model selection should happen after source quality, access control, retrieval behavior, and test questions are understood. Why

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On-Prem Private AI Series: Dell AI Factory with NVIDIA and Red Hat OpenShift AI as the AI Factory Build Pattern

TL;DR Dell AI Factory with NVIDIA and Red Hat OpenShift AI is the private AI option for organizations that want a validated infrastructure and platform stack instead of building every AI layer themselves. Compared with the VMware approach in the first article, Dell’s center of gravity is less about extending an existing private cloud operating

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Why Platform Engineering Is Becoming a CEO-Level Productivity Strategy

TL;DR Platform engineering is becoming a CEO-level productivity strategy because software delivery is now a direct constraint on revenue, customer experience, operational change, regulatory response, and AI adoption. A well-designed internal developer platform reduces repeated engineering work, shortens delivery queues, embeds security and reliability controls, and gives product teams a supported path from idea to

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