What Actually Mattered in AI in 2025
A year-end DataGuy manifesto on why AI in 2025 revealed the limits of scale, context, autonomy, and control – and why systems, not models, defined what actually mattered.
The Quiet Rise of Code Assistants as Knowledge Systems
This article explores how code assistants are evolving into knowledge systems, reshaping how organizations retrieve, preserve, and trust institutional memory.
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Building Agents Without Losing Control: Inside NVIDIA NeMo
This article examines why agentic systems fail without governance, and how orchestration frameworks like NVIDIA NeMo make control explicit rather than accidental.
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CUDA Without the Marketing: What You Actually Need to Know
This article demystifies CUDA by explaining what it actually abstracts, when GPUs help, when they don’t, and why most GPU waste is architectural, not algorithmic..
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From Models to Systems: When Data Science Becomes AI
This article explores how data science evolves into AI when models give way to systems, and intelligence emerges from reasoning, feedback, and design.
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Why Qwen Image Layered Treats Editability as a First-Class System Property
A systems-first analysis of Qwen Image Layered, explaining why layered image representation solves structural failures that break most AI image editing workflows.
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