Why Language Models Hallucinate — interactive visual explainer | Rudrite Research

A new interactive visual explainer from Rudrite Research demonstrates that large language model hallucinations are a predictable outcome of training and grading systems that reward confident guessing, based on a 2025 arXiv paper by Kalai et al.

Why Language Models Hallucinate Hallucinations are the predictable result of training and grading that reward confident guessing. Kalai et al. · arXiv 2025 · Reasoning & RL. Read the paper ↗ https://arxiv.org/abs/2509.04664 A free, interactive, animated visual explainer of Why Language Models Hallucinate — every exhibit computed from the real formulas, with verbatim quotes from the source. Questions - What is Why Language Models Hallucinate? - Hallucinations are the predictable result of training and grading that reward confident guessing. - Who published Why Language Models Hallucinate, and where? - Kalai et al. — arXiv 2025 arXiv:2509.04664 . - Where can I find a visual explainer of Why Language Models Hallucinate? - Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source. Related explainers DeepSeek-R1 /deepseek-r1 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models /chain-of-thought Training language models to follow instructions with human feedback /instructgpt Direct Preference Optimization: Your Language Model is Secretly a Reward Model /dpo DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models /deepseekmath Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters /test-time-compute Constitutional AI: Harmlessness from AI Feedback /constitutional-ai DAPO: An Open-Source LLM Reinforcement Learning System at Scale /dapo