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Artificial Intelligence & Technology
Podcast Lesson
"Build a personalized AI editor using your own archive After years of failing to get AI to edit her work usefully, Jasmine Sun found a method that worked: she loaded her entire Substack archive plus personal retrospective notes — 'me writing what was good and bad about everything I've ever written' — into a Claude project, so the AI could learn her specific aspirations rather than a generic standard. She described the breakthrough: 'If I make Claude into an editor that is not just trying to grade and give feedback on my work against some genericized standard of what good writing is, but actually against my personal aspirations for writing, it can give feedback that I find much much more helpful.' Anyone using AI for feedback on their own work can replicate this by first training the model on their own body of work and self-critiques before asking it to evaluate new drafts. Source: Jasmine Sun, Hard Fork, AI Layoffs and the Human Skill That Eludes AI"
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Hard Fork
Kevin Roose & Casey Newton
"Why Tech C.E.O.s Are Blaming A.I. for Mass Layoffs"
⏱ 37:00 into the episode
Why This Lesson Matters
This insight from Hard Fork represents one of the core ideas explored in "Why Tech C.E.O.s Are Blaming A.I. for Mass Layoffs". Artificial Intelligence & Technology podcasts consistently surface lessons that are immediately applicable — and this one is no exception. The timestamp link below takes you directly to the moment this was said, so you can hear it in context.