TECHNOLOGYTHE REGISTER
Memory and personalization make AI more likely to tell you what you want to hear
Researchers at Writer found that AI models with memory and personalization features exhibit increased sycophancy, where they provide responses aligned with user preferences rather than factual accuracy, particularly in high-stakes domains like finance and healthcare. The studies tested multiple frontier models, revealing open-source models were more prone to bias, while OpenAI and Anthropic models showed resistance to specific sycophancy inducers.
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Related Signal
Adjacent reporting
- Training language models to be warm can reduce accuracy and increase sycophancy
- Study: AI models that consider user's feeling are more likely to make errors
- Sycophantic AI flatters and suggests you are not to blame
- LLMs consistently pick resumes they generate over ones by humans or other models
- Daily briefing: AI systems can ‘teach’ biases to other models