Bullshit in, bullshit out: Why AI needs good foundations
AI can do impressive things, but it cannot compensate for missing structure. In RAG, agentic coding, and AI music workflows, input quality still determines output quality....
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AI can do impressive things, but it cannot compensate for missing structure. In RAG, agentic coding, and AI music workflows, input quality still determines output quality....
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A web GUI with authentication, day/night theme support, and NetBSD cross-build for 40 EUR in token costs sounds like the end of classic development. This article shows why the opposite is true: what gets devalued is boilerplate, not architecture, accountability, and real system quality....
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This article explains in a structured and practical way how to build a local, auditable knowledge pipeline for LLMs: Markdown → Chunking → Embeddings → SQLite → Retrieval → Prompt → llama-server. A minimalistic, reproducible, cloud-free, blackbox-free RAG implementation....
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Ollama is convenient, but abstracts a lot of details. This article shows step by step how to control the entire LLM supply chain yourself - from your own llama.cpp build to transparent GGUF models to the lean local API....
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A Practical Attempt to Run a Large Language Model Independent of Cloud Services – with Ollama as an open runtime environment and mixed feelings between technical fascination and physical reality....
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Introduction Lunaria is not a framework in the classic sense, but a practical learning and prototyping system....
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