Support the show to get full episodes, full archive, and join the Discord community. Steve Byrnes is a physicist turned AGI safety researcher. He's concerned that when we create AGI, whenever and however that might happen, we run the risk of creating it in a less than perfectly safe way. AGI safety (AGI not doing something bad) is a wide net that encompasses AGI alignment (AGI doing what we want it to do). We discuss a host of ideas Steve writes about in his Intro to Brain-Like-AGI Safety blog series, which uses what he has learned about brains to address how we might safely make AGI. Steve's website.Twitter: @steve47285Intro to Brain-Like-AGI Safety.

Join guests Bogdan Ionut-Cirstea, Steve Byrnes, Gunnar Zarnacke, Jack Foxabbott, and Seong Hah Cho, who contribute critical insights on AI alignment. They discuss an intriguing concept called self-other overlap, which aims to optimize AI models by aligning their reasoning about themselves and others. Early experiments suggest this technique can reduce deceptive behaviors in AI. With its scalable nature and minimal need for interpretability, self-other overlap could be a game-changer in creating pro-social AI.