When AI Made Learning Evolutionarily Disadvantageous — And Optimization Locked It In
Every organism faces evolutionary pressure to optimize energy expenditure against reward. Behaviors that cost more for equal reward get selected against. In 2023, artificial intelligence created optimization landscape where genuine learning—deep internalization requiring sustained effort—became evolutionarily disadvantageous compared to AI-assisted completion requiring minimal effort for identical measurable reward. The selection pressure did not make learning … When AI Made Learning Evolutionarily Disadvantageous — And Optimization Locked It In