{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Ghost in the Machine","title":"Episode 19: Andrew DeGood and Liz Short on Who Benefits From AI Panic","html":"","width":"100%","height":180,"duration":2233,"description":"When AI leaders agree that the race needs brakes, should people trust the warning or question the incentives behind it?\nAndrew DeGood and Liz Short test the extinction case without treating fear as evidence. They examine a former Anthropic researcher's warning, the industry consensus, open-source competition, recursive self-improvement, and OpenAI's use of thousands of agents on the Navier-Stokes problem. The strongest conclusion is not that catastrophe is impossible. It is that extraordinary claims still need precise facts.\nThen the conversation turns from hypothetical risk to present power. Andrew argues that personal privacy is already gone. Liz pushes back: surrendering privacy hurts people with less power first, especially when surveillance tools can be abused by institutions or individuals.\nThe episode lands on a harder standard for both optimism and skepticism. Ask what a system can do, who controls it, what evidence supports the claim, and who pays when the guardrails fail.","thumbnail_url":"https://img.transistorcdn.com/wuXFxjXsh04Ea3JOYFmb_DK9yGgH1BjakkIGKYNCoCw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81OWYw/YTgwMjQ1MmIwN2Zk/N2JlNmE5OWUzZmJk/ZmUyYi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}