(confabulation) is the production of fabricated, distorted, or misinterpreted memories about oneself or the world, without the conscious intention to deceive. Often referred to as "honest lying," the individual believes these memories are entirely accurate even when presented with contradictory evidence. Core Psychological and Clinical Features
Researchers have proposed several theories to explain why the brain "fills in the gaps" with false data: Confabulazione
: It is often divided into provoked confabulation , which occurs as a fleeting response to a specific question, and spontaneous confabulation , which happens unprompted and can be more elaborate or grandiose. : Proponents of this nomenclature argue that "hallucination"
: Proponents of this nomenclature argue that "hallucination" implies a sensory experience the model lacks, whereas "confabulation" more accurately describes the generation of plausible but incorrect narrative text. Theoretical Perspectives : LLMs may statistically blend uncertain data points
In the field of computer science, "confabulation" is increasingly preferred over "hallucination" to describe errors made by Large Language Models (LLMs).
For further reading on how this affects clinical diagnosis, you can explore the Verywell Mind guide on Confabulation or the comprehensive overview on Wikipedia .
: LLMs may statistically blend uncertain data points into a single, confident-sounding but false response.
(confabulation) is the production of fabricated, distorted, or misinterpreted memories about oneself or the world, without the conscious intention to deceive. Often referred to as "honest lying," the individual believes these memories are entirely accurate even when presented with contradictory evidence. Core Psychological and Clinical Features
Researchers have proposed several theories to explain why the brain "fills in the gaps" with false data:
: It is often divided into provoked confabulation , which occurs as a fleeting response to a specific question, and spontaneous confabulation , which happens unprompted and can be more elaborate or grandiose.
: Proponents of this nomenclature argue that "hallucination" implies a sensory experience the model lacks, whereas "confabulation" more accurately describes the generation of plausible but incorrect narrative text. Theoretical Perspectives
In the field of computer science, "confabulation" is increasingly preferred over "hallucination" to describe errors made by Large Language Models (LLMs).
For further reading on how this affects clinical diagnosis, you can explore the Verywell Mind guide on Confabulation or the comprehensive overview on Wikipedia .
: LLMs may statistically blend uncertain data points into a single, confident-sounding but false response.