New paper examines risks of automation built on pattern-matching without comprehension

A research paper explores how systems optimized for efficiency can fail catastrophically when they encounter edge cases or novel scenarios their training didn't cover. For indie builders relying on AI and automation, the takeaway is clear: tools that work well in controlled conditions may silently break in production.