- ai
- machinelearning
- datascience
- programming
- rag
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Why I Stopped Trusting LLMs to Multiply
Why LLMs struggle with deterministic computation and how function calling and tool use provide the formal contract needed for reliable AI systems.
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Loop Engineering: The Next Frontier in AI System Design
An in-depth exploration of how designing feedback loops, evaluation architectures, and self-improving systems is transforming AI development.
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Harness Engineering: The Missing Framework for AI-Native Development
A structured engineering framework that coordinates reasoning, domain harnesses, verification gates, and continuous learning loops to build reliable AI-native systems.
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Transformers: The Attention Mechanism: How AI Learned to Focus
A beginner-friendly explanation of the attention mechanism that powers modern LLMs such as GPT, Claude, Gemini, and Llama.
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Why Most AI Agents Fail in Production And the Architecture Patterns That Actually Work
Most failures don't happen because the prompts are bad, they happen because the system architecture lacks deterministic boundaries.