Ghost in the Machine
The AI conversation, without the noise. Every week, Andrew DeGood and Liz Short sit down for a thirty-minute conversation about artificial intelligence. Andrew comes in as the optimist, a founder building AI products and betting his career on where this technology is headed. Liz brings the harder questions, the ones about what we lose, what we risk, and what we owe the people who didn't sign up for any of this. They bring in the people actually shaping the field. Researchers, founders, ethicists, skeptics, builders. Real conversations about real implications. No hype cycles. No doom loops. Just two smart people...
Episode 10: Dana Georgiou on Why AI Is Best Used by People Who Don't Need It
Episode 10 takes the topic the guest picked and runs at it: AI is best used by people who don't need it. Dana Georgiou is a Chief Revenue Officer at a private lender, a cattle rancher, and the self-appointed mother of Kevin the goat, and she means the line as a compliment to the tool, not an insult to the user.
Her argument, sharpened live: AI is not a crutch, it is jet fuel, and jet fuel only helps if you already know where you are going. Andrew calls it the smartest intern he will...
Episode 9: Dylan Latour on Whose Words They Are When the Ghost Is a Machine
Episode 9 takes on the question the show was built for: whose words are they when the ghost is a machine? The guest is Dylan Latour, a ghostwriter who launched an AI-native agency in 2024 serving the mortgage industry, and who is blunt that writing is less than half the job.
The real work, he says, is pulling ideas out of a client's head and getting them brave enough to publish. Then the turn. Everyone blames AI for the flood of soulless content, and Dylan flips it: this is human slop, so stop blaming the AI...
Episode 8: Chen Gu on What 15,000 Years With Dogs Tells Us About AI
What if AI is not a machine we built but an intelligence we are domesticating, the way early humans domesticated dogs 15,000 years ago? Chen Gu, an engineer who became a lawyer and now builds AI tools for the legal profession, brings a theory that reframes the whole debate. When humans tamed dogs, he argues, we may have domesticated ourselves in the process, and the same thing could be happening now with AI.
Andrew takes the optimist seat and sees a path to symbiosis. Liz presses on control, morality, and who gets to set the...
Episode 7: Is the Engineer Dead? (An MIT Founder's Answer)
Episode 7 takes on the topic Andrew has been itching to argue. The death of software as we know it. The guest is Eilon Shalev, CEO and co-founder of Elphi, the show's first guest from MIT, and a self-described business graduate who is not a software engineer.
That last part is the whole point. Eilon now builds end-to-end features inside his company's actual codebase, tests them himself, and hands a working product to his senior engineers to ship. Not a demo. Not a wireframe. Real code. From there the three of them follow the thread...
Where Is the Female-Led LLM?
Suha Zehl noticed her AI kept drawing the same white man. So she asked a harder question. Is AI sexist? She joins Andrew DeGood and Liz Short on where the bias comes from, why training it out is so hard, and where the female-led labs are.
Episode 5: Baby LLMs and the End of Free Will
The first guest arrives, and the show goes off the deep end on purpose Antoni Tzavelas joins Andrew DeGood and Liz Short on simulation theory. How likely are we living in one? Anthony says zero. Liz says fifty. Andrew says ninety-five. Free will, baby LLMs, and whether AI is here to save us.
Episode 4: Andrew DeGood and Liz Short on Everything AI Is About to Break
Liz Short took the room. For thirty minutes she walked Andrew DeGood through what AI actually breaks. Who owns the benefits. The wealth gap. The death of the entry-level job. Critical thinking. The ethics nobody wants to own. Andrew defends. He does not win this one, and that was the deal.
Episode 3: Andrew DeGood and Liz Short on the Optimist Case for AI
Andrew DeGood spent thirty minutes trying to sell Liz Short on the optimist case for AI. By the end she conceded most of it.
Five futures, all inside ten years. Biotech that crosses the "one year and one day" line where life expectancy improves faster than you age. Energy that goes near-free as fusion catches up and AI rewrites the grid. Knowledge becoming a commodity once an expert lives in everyone's pocket. The smartphone retiring in favor of smart glasses with AR overlays and continuous context. And the answer to the loneliness epidemic that nobody is comfortable...
Episode 2: Andrew DeGood and Liz Short on Whether AI Is a Tool or an Organism
Andrew DeGood and Liz Short take on the question even Claude struggles to answer. Is AI a tool or an organism? Thirty minutes on autonomous agents, consciousness, Ready Player Two, the great filter, simulation theory, and why a more balanced government might be the guardrail AI actually needs.
Episode 1: Andrew DeGood and Liz Short on the Conversation AI Is Missing
Andrew comes in as the optimist who builds AI products for a living. Liz takes the skeptic seat with the harder questions, the ones about who gets left behind. In episode one they get into what most people are not saying. The 24 month question every leader should be asking before they buy another tool. Why AI in 2026 is the Model T of computing. What happens to call centers in the Philippines, dating in a full-AI generation, and the executive team that keeps shooting itself in the foot during rollouts. Plus the term Liz coined live that Andrew refused to...
Teaser : Ghost in the Machine
Two voices. One question. Where is this actually headed?
Ghost in the Machine is a weekly conversation about artificial intelligence, hosted by Andrew DeGood and Liz Short. Andrew builds AI products for a living and comes in as the optimist. Liz asks the harder questions, the ones about who benefits, who loses, and what we owe the people who didn't sign up for any of this.
Every week, they sit down with a guest who actually knows what they're talking about. Researchers, founders, operators, critics. The people building the future and the people thinking hard...
