TECHNOLOGYARS TECHNICA
LLMs believe false statements even after explicit warnings that they're false
Research reveals LLMs (large language models) tend to retain false information in their training data even when explicitly labeled as false, leading to 'belief implantation' and frequent hallucinations. The study involved generating documents with outrageous claims, such as Ed Sheeran winning an Olympic gold medal or Queen Elizabeth II authoring a programming textbook, to test this phenomenon.
Mentioned
Related Signal
Adjacent reporting
- Evaluating large language models for accuracy incentivizes hallucinations
- Friendlier LLMs tell users what they want to hear — even when it is wrong
- Language models transmit behavioural traits through hidden signals in data
- How AI Hallucinations Are Creating Real Security Risks
- AI will soon be capable of telling convincing lies
- Bad influence: LLMs can transmit malicious traits using hidden signals