The AI Slop Problem Nobody's Talking About | Substack CEO Interview

Substack just shipped AI detection, and I sat down with co-founder and CEO Chris Best to talk about what a detector can and cannot see in your writing. Full post: https://natesnewsletter.substack.com/p/ai-detection-ideas-not-words?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones What's really happening inside AI detection on Substack? The common story is that a detector tells you whether writing is real, but the real question is whether anyone meant what they published. In this video, I share the inside scoop on AI slop, detection, and what still counts as thinking: - Why over 40% of LinkedIn long-form posts scan as fully AI-generated - How Substack's new Pangram scan works, and what it misses - What a denial of service attack on the public square looks like - Where human attention still holds value as language gets cheap Detection gives readers a real signal about how text was made, but it cannot tell you whether anyone thought about it, and that is still the part only a person can supply. Chapters: 00:00 What AI slop is, and the Pangram numbers 02:43 The same problem inside companies 05:01 A denial of service attack on the public square 07:56 What Substack shipped 11:27 How I actually write with AI 17:41 Proof of work is dead 20:01 Why models pull toward the same ideas 22:35 A Pangram for ideas 26:09 The Odyssey and what lasts 34:46 Anti-slop is a pro-AI stance 41:41 Claude-fishing and the new norms 43:57 Human attention, the last scarce resource Listen to this video as a podcast. Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4 Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372