The concept of 'Move 37,' a pivotal moment in the game of Go played by AlphaGo, is being highlighted as a significant breakthrough in artificial intelligence. Ioannis Antonoglou, a co-founder of Reflection AI and a pioneer at Google DeepMind, discussed this moment in detail on the podcast 'Training Data' by Sequoia. He described Move 37 as a 'brilliant, unconventional move' that demonstrated AlphaGo's deep understanding of the game and its capacity for creativity. This discussion ties into the broader context of reinforcement learning (RL) and its application in developing large language models (LLMs) that aspire to achieve similar robustness as established AI systems like AlphaGo, MuZero, and AlphaZero. Antonoglou's insights suggest that while LLMs have experienced their own 'AlphaGo moment' with ChatGPT, the 'AlphaZero moment' remains a future goal for AI development.
An article mentioned about AlphaGo move 37. https://t.co/gTK1YCMXGg Wish there are detailed analysis of the specific session of game.
.@IoannisAntonog1, co-creator of AlphaGo & cofounder of Reflection AI, describes Move 37 on today's ep of @Sequoia's Training Data. "A brilliant unconventional move that underscored that the system had a deep understanding of the game, that the system actually had creativity." https://t.co/fasgVeHd42 https://t.co/UuOHQ4r3eJ
.@IoannisAntonog1, co-creator of AlphaGo and Reflection AI cofounder, describes Move 37 on today's @Sequoia Training Data ep. "A brilliant, unconventional move that underscored the system had a deep understanding of the game, that the system actually had creativity." https://t.co/UuOHQ4r3eJ