Cheap Code, Expensive Trust: Planning for AI's Bad Days
from AI and the Human Future Hosted by Daniel Altman and Emily Carter
AI is writing more of our software, more of our encyclopedia, and quietly taking over parts of our attention. Daniel and Emily trace what that dependence costs — in production incidents, in the knowledge commons, and in our own bodies — and what it actually takes to stay resilient when the systems we lean on change underneath us. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://newsletter.pragmaticengineer.com/p/building-resilient-systems - https://www.notboring.co/p/runway-learning-from-watching-the - https://www.wired.com/story/book-excerpt-the-last-best-place-on-the-internet-wikipedia-artificial-intelligence/ - https://aeon.co/essays/the-more-we-rely-on-tech-the-more-we-deskill-our-bodies - https://www.noahpinion.blog/p/a-nobel-for-new-keynesian-macro-at ## Episode Information Language: en Published: 2026-10-14T10:00:00+00:00
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