Your LLM Cannot Tell When It Is Wrong, Build for That

Every LLM hallucinates, and it is not a bug the next model release will fix. Next-token prediction...

domenica 12 luglio 2026 New tab

149 words~1 min read

Every LLM hallucinates, and it is not a bug the next model release will fix. Next-token prediction rewards fluent, plausible text, and a confident fabrication scores exactly like a confident fact. The model has no internal mechanism that separates the two.

That means the reliable systems are the ones engineered around the model:

Retrieval grounding, so the model summarizes real documents instead of recalling from its weights

Persistent memory, so it stops re-guessing facts it already got right, and keeps the corrections users make

Detection layers: confidence scoring and consistency checks across multiple generations

Your LLM Cannot Tell When It Is Wrong, Build for That

Your LLM Cannot Tell When It Is Wrong, Build for That

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Related reading

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Never trust an LLM's output directly. Here's the validation layer I put on…

Your LLM Is Only as Good as What It Retrieves | Weaviate

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