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Shownotes
In This Episode
• The problem with AI bots built from public transcripts
• Why “it’s not me” matters when AI gives bad advice
• The difference between average AI outputs and expert thinking
• Open-sourcing transcripts and who owns the IP
• Why “technically possible” doesn’t mean “ethically okay”
• How creators can survive in a world of AI-generated expertise
Key Takeaways
• Using AI for perspective is fine — equating it to the real person isn’t.
• Free-feeling AI outputs still rely on someone’s work.
• Expertise is more than past content — it’s context, judgment, and evolution.
• If someone’s work influences you, find a way to support them.
Listener Reflection Questions
• Have you ever used AI to “act like” someone you admire?
• Could you tell whether the output matched that person’s actual thinking?
• How do you decide what’s ethically okay when using public content in LLMs?
• How can we support creators while still embracing new tools?
Resources & Links:
• Follow Teresa Torres: ProductTalk.org
• Follow Petra Wille: Petra-Wille.com
Mentioned in this episode:
• Delphi.ai (delphi.ai) (AI bot platform discussed)
• Lenny’s Podcast (lennysnewsletter.com/podcast)
• ChatGPT (chatgpt.com)
• Petra’s Coaching Packages (petra-wille.com/coaching-packages)
• Teresa’s Product Talk (producttalk.org)
• Teresa’s book Continuous Discovery Habits (producttalk.org/continuous-discovery-habits)
• Lenny’s open-sourced podcast transcripts (dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNP…)