Developer creates interactive visualization tool to help users understand and explore the reliability limitations of large language models

Project called 'Reliably Incorrect' uses data visualizations to demonstrate LLM failure modes and unreliability patterns

Interactive tool allows exploration of how language models can produce confident but incorrect outputs

Aims to educate users about the gaps between LLM capabilities and actual reliability in real-world applications

Shared on Hacker News as a 'Show HN' project to gather community feedback and interest