Tag: large-language-models
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The Specific Mechanism by Which LLMs Confabulate (And Why It Can't Be Fixed with More Data)
LLM hallucination is architectural, not a data problem. Understanding why models confabulate determines which interventions work and which are wasted effort.
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The Ghost in the Machine: What AI Hallucinations Reveal About Intelligence
AI hallucinations are structural, not fixable bugs — understanding why reveals something profound about the nature of knowledge and language itself.
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Why AI Systems Have No Memory (And Why That's the Most Profound Thing About Them)
LLMs have no persistent memory between conversations. This architectural fact has profound implications for AI alignment, personalization, and what intelligence means.
