This episode argues that AI progress is increasingly about reliability, efficiency, alignment, and practical integration rather than dramatic capability leaps. The hosts examine how organizations should measure readiness, train users, and choose models by task; challenge Jensen Huang’s optimism about safety and jobs; and criticize OpenAI’s retirement of custom GPTs. They also explore personal agents, retailer restrictions, rogue-agent incidents, international safety standards, remote AI workflows, and new products from OpenAI, Anthropic, Google, and xAI.