In a recent column, Roope Lipasti reflects on a conversation he had with a friend about the impact of artificial intelligence (AI) on society. They lamented the behaviors of different generations but soon shifted their critique to the realm of AI. His friend pointed out that to recognize AI's mistakes often requires a depth of knowledge that comes from years of experience and learning, which AI lacks despite its proficiency in several languages. This raises concerns about the reliability of AI as a source of knowledge.

The conversation led to a deeper worry about future generations relying on AI for their education and cultural literacy. Lipasti expresses concern that if younger generations primarily learn from AI, they may miss out on practical experiences that are essential for true understanding, such as performing simple scientific experiments or making empirical observations. He highlights the striking contrast between mankind’s ability to test real-world hypotheses and AI's limitations.

Lipasti ultimately questions what will happen when older ideas are recycled endlessly without the human element of experimentation and critical thinking. He emphasizes that while AI has remarkable capabilities, it cannot replicate the innate intelligence and experiential wisdom that humans bring to learning and understanding the world, leaving a profound gap in knowledge acquisition if society becomes overly dependent on AI.