Experimenting with NotebookLLM
I’ve been testing out NotebookLLM’s ability to take long, messy tangents from my AI chats and turn them into structured podcasts. The result? A completely AI-generated episode (hosts included)—so, listener beware.
🎧 Podcast: From Cryptic Puzzles to New AI — Engineering Emergence with Automaton Systems
📒 NotebookLLM link: Open in NotebookLM
Episode Summary
From Cryptic Puzzles to New AI — Engineering Emergence with Automaton Systems
In this episode, the AI hosts explore how mathematical patterns and puzzle-like structures can inspire breakthroughs in artificial intelligence.
- How automaton systems provide a base for emergent behaviors.
- Why simple rules often lead to complex, innovative solutions.
- What these ideas mean for the future of AI system design.
If you’re curious about the intersection of math, emergent AI, and systems architecture, this is a fun experiment worth checking out.
Why This Matters
NotebookLLM shows how we can turn unstructured, exploratory chats into something consumable and shareable: podcasts, summaries, and structured outputs. It’s not perfect, but it feels like a glimpse into a future where we offload more of the knowledge distillation process to AI.
Links & Shoutouts
- 📺 Watch the episode: YouTube
- 📒 Explore the notebook: NotebookLLM
- 🔗 Connect: LinkedIn / bclonan
Big thanks to Google for pushing forward with NotebookLLM—excited to see where this evolves.
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