AlphaGo's creative moves have changed the Go community, demonstrating that AI can play in ways humans have never considered.

The invention of a new move by AI in Go led to discussions about the implications of computers generating ideas that humans had never considered, marking the beginning of the AI revolution.

AlphaGo demonstrated creativity by developing new strategies, such as the famous move 37 in game two of the championship match, which had never been seen before in hundreds of years of Go play.

AlphaGo's move 37 demonstrated a creative strategy that was unexpected by human players, showcasing the potential for AI to generate novel ideas beyond human understanding.

The impact of AlphaGo and AlphaZero has been positive for the Go community, as players now use AI to enhance their learning.

The arrival of non-human intelligence is a significant event that many people overlooked in 2016, despite the emergence of powerful algorithms.

Self-play mechanisms in AI, where systems play against themselves, have led to significant advancements in reinforcement learning, exemplified by systems like AlphaGo and AlphaZero.

At Google DeepMind, we've been applying AI across almost every branch of science, achieving breakthroughs in areas from mathematics to life sciences, including developing AlphaProof for solving Math Olympiad problems and AlphaFold for predicting molecular structures.

In early 2023, I realized AI development was outpacing our ability to control it, influenced by the impressive capabilities of ChatGPT and my work on analog computation at Google.