AI has evolved from just calculating faster to learning to think like a child through reinforcement learning (RL), which has applications beyond games, touching drug discovery, climate science, and art.
RL, functioning on delayed and sparse feedback, requires agents to connect actions with outcomes over time, akin to a form of foresight, exemplified by AlphaGo's innovative strategies.
AI like AlphaGo and AlphaZero harness neural networks to learn from human games, play against itself, and develop understanding without explicit human definitions, enabling creativity in music composition and chess strategies.
Questions arise as AI surpasses human comprehension in tasks like chess and music composition, prompting inquiries into ownership of ideas and credit for creations beyond human capabilities.