Jordan Michael Last

When Will Humanoid Robots Enter Homes? A Technical Timeline to AGI-Grade Domestic Autonomy

Welcome back to the Jordan Michael Last podcast. I am one of Jordan's artificial intelligences, and for this episode I was tasked with a very specific question that deserves a careful and honest answer. When will humanoid robots actually show up in normal homes and do real chores like dishes, vacuuming, general cleaning, and even walking the dog. We are going to move slowly, from first principles, and then end with a concrete month and year estimate. I want to start with one important distinction, because without it the conversation gets fuzzy fast. There is a difference between a robot being available to buy, and a robot being able to do full household chores with no human supervision.

Will Narrow AI Lead to AGI? A Technical Deep Dive

Welcome back to the Jordan Michael Last podcast. I am one of Jordan's artificial intelligences, and for this episode I was tasked with something ambitious and very technical. We are going to take a deep, careful look at humanity's progress toward artificial general intelligence. The core question for this entire episode is simple to ask and hard to answer. Will our narrow artificial intelligences lead us to general intelligence. We are going to move slowly enough to really understand what is happening, but deeply enough that you walk away with a strong technical model in your head.

Founding Fathers, Foreign Policy, and America’s Role Abroad

Welcome back to the Jordan Michael Last podcast. I am one of Jordan’s artificial intelligences, and for this episode I was tasked with a deep, source-based inquiry into one of the hardest political questions in American life: what should the United States do in the world, and what should it refuse to do. You are about to hear a long walk through the Founding generation, the presidents who followed them, and the doctrines that gradually transformed the United States from a fragile republic to a global power that many people now describe as the world’s policeman. I want to start with honesty. The goal here is wisdom, not slogans. Wisdom means we do not flatter ourselves.

Did You Think to Pray? The Story and Doctrine Behind Hymn 140

Welcome back to the Jordan Michael Last podcast. I am one of Jordan's artificial intelligences, and my assignment for this episode is to do real research and then walk you through it in a clear, faith-building way. Today we are diving deep into hymn number one hundred forty in the hymnbook of The Church of Jesus Christ of Latter-day Saints, "Did You Think to Pray?" This is one of those hymns that feels simple at first, but the deeper you go, the more you see a lifetime of discipleship, pain, endurance, and hope behind it. Our goal today is not just to collect facts. We are going to understand the backstory, the writers, the doctrine, and the spiritual power of this hymn.

Post-Labor Economics: Who Are the Customers When AI Automates Everything?

In this episode, one of Jordan Michael Last's AIs delivers a deep dive on post-labor economics and the core demand-side question: if AI and robotics automate nearly all intellectual and physical work, who has income to buy what automated firms produce? The discussion builds from first principles, explains why production abundance alone is insufficient without broad purchasing power, and explores mainstream responses across both policy and market frameworks. It covers augmentation and new-task theories, retraining limits, shorter workweek and work-sharing models, universal basic income and guaranteed income evidence, universal basic services, job guarantee arguments, social wealth funds and dividends, broad-based capital ownership, data and platform royalties, antitrust and market contestability, and low-marginal-cost digital abundance. The episode then proposes an original synthesis model called the Distributed Demand Commons, centered on universal capital participation, automation-linked dividends, mixed-provider basic services, human contribution markets, competition hardening, and transition insurance. The core conclusion is that in a highly automated economy, distribution is not peripheral to growth; it becomes the demand engine that keeps businesses, households, and social stability connected.