AI Hallucination
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
Generative AI can confidently produce nonsense (fabricating facts, citing non-existent papers) because it is essentially doing 'probabilistic prediction' (what is the most likely next word) rather than 'fact retrieval'.
SCAFFOLDING EFFECT
Reduce cognitive load
- Verification awareness: When using AI (or listening to certain experts), always maintain the vigilance of fact-checking. Fluency does not equal truth, and confidence does not equal correctness.
Anchor fast decisions
Based on 'autoregressive generation'. The model predicts the next token by probability, aiming to 'seem real' rather than 'be true', without factual grounding, thus fabricating plausible errors.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more
Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E5%B9%BB%E8%A7%89_%28%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%29verified
PRIVATE NOTES · Only visible to you
SAVED Q&A
ENTRY Q&A · Private saving available
Ask with a clear boundary
thinkingmodels answers from published entry context only.
Your question is sent to thinkingmodels. The answer uses public entry context only.
RELATED MODELS