In this episode of the Google DeepMind podcast, the spotlight is on AI agents—autonomous systems designed with specific objectives that enable them to make decisions independently. The discussion centers around DeepMind's SIMA project, which trains these AI agents to follow instructions in video game settings like Goat Simulator and Valheim. By utilizing imitation learning from human gameplay data, SIMA agents are able to complete tasks without needing explicit rewards, showcasing impressive abilities to adapt across various games. This research is an important step towards achieving Artificial General Intelligence (AGI), where AI can match human performance across a broad spectrum of tasks and environments.
