Scientists reveal why human language isn’t like computer code

Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while digital-style encoding could theoretically compress information more tightly, it would demand far more mental effort from both speaker and listener. Instead, language is built around familiar words and predictable patterns that reflect our real-world experiences, allowing the brain to constantly anticipate what comes next and narrow down meaning step by step.