The provided text is an excerpted transcript from the "Google DeepMind" podcast, featuring host Professor Hannah Fry and guest Shane Legg, a co-founder and chief AGI scientist at Google DeepMind. The discussion centers on the complex topic of Artificial General Intelligence (AGI), with Legg offering a detailed perspective on its definition, proposing a spectrum from minimal AGI (human-typical cognitive ability) to full AGI and eventually Artificial Super Intelligence (ASI). He argues that AGI is approaching rapidly, estimating a 50/50 chance of minimal AGI by 2028, which he believes will cause a massive, structural transformation in the economy and society, comparing its impact to the industrial revolution. A significant portion of the conversation is dedicated to AGI safety and ethics, emphasizing the need for robust reasoning and system two safety to ensure ethical decision-making, while also stressing the urgency for society—including academics and experts across all fields—to seriously consider and prepare for this monumental shift.