Why do we keep getting AI wrong?
It’s not because it’s too intelligent. It’s because we’re bad at extrapolating what intelligence makes possible.
In this bonus short, Daniel shares a conversation with Chyngyz Dzhumanazarov, co-founder and CEO of Kodif, who draws a striking parallel: when electricity was invented, no one predicted it would lead to television, or that actors would build careers from it.
People worried about job loss in coal.
They missed the entertainment industry entirely.
The same thing is happening with AI. We’re focused on what it might replace, not what it might enable.
🔑 What You’ll Hear in This Episode
- ✅ What electricity, television, and the entertainment industry can teach us about new technologies
- ✅ Why we overestimate disruption and underestimate emergence
- ✅ A reminder that mystery isn’t the same as incomprehensibility
🔗 Resources & Links
- 🎧 Listen to the full interview with Chyngyz: https://rss.com/podcasts/manaryhaus/2041601/
- 📩 Subscribe to the Artificial Insights newsletter for new episodes and reflections: https://manary.haus/podcast/#haus
🚀 Found this useful? Share it with someone who’s trying to think clearly about AI’s future.
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