AI models just don't understand what they're talking about

Summary

The article argues that current AI models, such as large language models, lack genuine understanding and instead generate convincing but superficial responses based on patterns in data. This "Potemkin understanding" raises concerns about overestimating AI capabilities and highlights the need for caution in deploying these systems in critical applications. The piece suggests that addressing this gap is essential for the responsible advancement of AI technology.