
Why AI Is a Wave You Can Either Surf or Get Crushed By
transcript
show notes
I open this episode with a story from my childhood: a dam that broke above my uncle's farm, and two California kids who survived the flash flood only because they knew how to surf a wave instead of fighting it. That's exactly how I think about AI right now. It's a massive wave bearing down on all of us, and whether it becomes a wonderful tool or something that crushes us depends entirely on whether we learn to ride it. I walk through what happened when I went from writing off AI-generated code as "laughable" last fall to building real, deployable tools with it today, including the Andrew Winkler Reading Room, a free app that lets you read over a hundred of the world's greatest books in their original languages, from Homer's Greek to modern Japanese.
In the second half, I get honest about what it's actually like working with AI day to day. I talk about building "Gentle Reader," a feature that lets language learners dive into real literature with only 70 to 75% vocabulary instead of waiting until they hit 95%, and the surprising detective work it took to get ancient and modern Japanese texts working properly. I also share where AI still struggles: its short-term memory lapses, its tendency to patch symptoms instead of solving root problems, and what my ongoing project to restore Don Quixote from a centuries-old scan taught me about "wisdom of crowds" and a 250-year-old quote from Sir Joshua Reynolds that turned out to apply just as much to machines as it does to us.
In this episode you will learn:
(00:00) Why I compare AI to a wave that can either be surfed or can crush you, using a story about a dam breaking above my uncle's farm
(03:14) How the Andrew Winkler Reading Room lets you read the Odyssey and other classics in their original Greek, with every word's form, meaning, and pronunciation just a click away
(06:06) What "Gentle Reader" is and why lowering the vocabulary threshold from 95% to 70-75% makes it possible to start reading real literature much sooner
(09:04) Why I chose books like Wizard of Oz, Aesop's Fables in Chinese, and Nicholas Nickleby in Italian to fill gaps where no natural "great work" existed at the right reading level
(12:01) What made Japanese the hardest language to build, including the challenge of AI handling ancient versus modern Japanese grammar and meaning shifts
(14:54) Why AI models have what I call a "short-term memory slash auditory processing disorder," and how the "Attention Is All You Need" paper changed the game but didn't fully solve it
(17:48) What my Don Quixote restoration project, removing decades of ink bleed and yellowing, then building a font from "wisdom of crowds," taught me about AI's tendency to avoid the real labor of thinking
Let’s connect!
Read, with computer assistance, the best literature the world has ever produced
andrew-winkler-reading-room.overskill.app
Love Quotient: Stop Dying of Thirst in an Ocean of Love Kickstarter
https://www.kickstarter.com/projects/amwphd/love-quotient
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