About this episode
In this episode, I pull back the curtain on how I’ve actually been using ChatGPT — feeding in old podcast transcripts, training it to sound like me, and what happened when an update wiped all that work. From there, I trace how that same “flattening” I felt in my own writing is now showing up everywhere — from YouTube videos to online debates — where people repeat AI-shaped ideas without realizing it.
This one’s less about blaming the tool and more about asking who’s really driving: the person or the machine.
Timestamps
00:00–02:00 — Intro and confession about his ChatGPT workflow
02:00–05:00 — Building filters and learning linguistic programming
05:00–07:00 — How OpenAI’s updates erased his tuning
07:00–10:00 — Discovering the “ChatGPT voice” spreading across YouTube
10:00–13:00 — Auto-Tune analogy: loving the tool vs. copying the preset
13:00–15:00 — The hypocrisy of “AI slop” critics and downloaded opinions
15:00–18:00 — The deeper theory: teachers, academics, and publishers exposed
18:00–19:54 — Closing thought: AI didn’t corrupt creativity — it revealed limitations
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