More concise chatbot responses tied to increase in hallucinations, study finds

New language models fantasize more often than their predecessors. No one knows exactly what this is all about. But examples from everyday life show how explosive this can become.

These systems continue to generate answers without understanding the truth, especially in more sensitive cases

More concise chatbot responses tied to increase in hallucinations, study finds

Asking any of the popular chatbots to be more concise "dramatically impact[s] hallucination rates," according to a recent study. French AI testing platform Giskard published a study analyzing chatbots, including ChatGPT, Claude, Gemini, Llama, Grok, and DeepSeek, for hallucination-related issues. In its findings, the researchers discovered that asking the models to be brief in their responses "specifically degraded factual reliability across mos…

Hallucinations in Healthcare LLMs: Why They Happen and How to Prevent Them

Last Updated on May 13, 2025 by Editorial Team Author(s): Marie Originally published on Towards AI. Hallucinations in Healthcare LLMs: Why They Happen and How to Prevent Them Building Trustworthy Healthcare LLM Systems — Part 1 Image generated by the author using ChatGPT TL;DR LLM hallucinations: AI-generated outputs that sound convincing but contain factual errors or fabricated information — posing serious safety risks in healthcare settings. T…

Asking Chatbots For Short Answers Can Increase Hallucinations, Study Finds

Requesting concise answers from AI chatbots significantly increases their tendency to hallucinate, according to new research from Paris-based AI testing company Giskard. The study found that leading models -- including OpenAI's GPT-4o, Mistral Large, and Anthropic's Claude 3.7 Sonnet -- sacrifice fa...

IAs capable of reasoning multiply to provide more structured responses to requests but their ability to hallucinate increases at the same time, making their responses too often suspicious.