LLMs Are Systems, Not Oracles
Explain why an LLM should be treated as a bounded prediction system rather than an all-purpose source of truth.
The polished answer is the tip of the iceberg. The operating system underneath is what decides whether you can trust it. LLMs Are Systems, Not Oracles Systems thinking is useful because LLM failures rarely come from one isolated cause. A vague prompt, missing retrieval, stale context, risky sampling, and no human review can align into one confident wrong answer. If you only stare at the output, you will ask, "Why did it lie?" If you look at the system, you will ask a better question: "Which part of the workflow made a fluent but unchecked answer likely?" An LLM is…
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