I asked AI for help with DIY. It told me to build a subfloor on rotting stumps, but also taught me valuable lessons | Myke Bartlett

Editor's take

An AI model, when tasked with DIY advice, suggested a dangerous and impractical construction method, highlighting the significant gap between vast data access and practical, safe application.

This incident underscores the current limitations of large language models in providing reliable, context-aware guidance for real-world tasks. The potential for harm, particularly in areas like home improvement or medical advice, remains a critical concern for consumers and developers alike, despite the proliferation of AI tools.

Future developments will need to demonstrate robust safety protocols and a deeper understanding of physical constraints, moving beyond mere data retrieval to genuine problem-solving. The ability of AI to accurately assess risk and provide actionable, safe instructions in critical domains will be a key indicator of its maturity and utility.