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The NotebookLM Mini Series #7: The “Tablecloth Problem”, headwaters in focus and the pollution party (feat. Belinda Hatt)
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Welcome to this Mini-Series on The Grand Challengers Podcast! The topic of generative artificial intelligence (AI) has been in all our minds over the past few years and is gaining even more momentum with rapid advancements in text, audio and video. Google recently released NotebookLM, a powerful research-support AI that can generate not only summaries of sources that we feed it, but also entire podcast episodes. This Mini-Series will explore the power of NotebookLM, our live reactions to its outputs... and a deep dive into some of the topics that we have covered on the show. We feature previous guests, who are here to join in on the fun!
Episode #7 attempts to create a connected story on the topic of headwater streams - Belinda Hatt (ep20) reacts to how NotebookLM produces a deep dive discussion some of her ongoing work on headwater streams, using a whopping 22 sources, from Water Acts to Strategy Documents, journal papers, design documents and documentation of data sets. Will NotebookLM be able to focus on the key topic or will it go off on endless tangents? What about its infamous analogies?
Podcast Intro/Outro Song: Funky Fortune by Danny Shields (Check out more of his tunes over on Spotify: https://open.spotify.com/artist/7vRFEGMyTTfeCtc8qiUB82?si=dygdqu9IQLSFYNvVzPNu5w)
Chapters:
0:00 Intro
1:27 Guest Intro - Reflections on the first podcast
3:00 Introducing the broad topic area
4:46 Guest's prior experience with AI
8:37 How this experiment works
14:09 The prompt and human's summary and expectation
18:20 Live Reaction
55:58 Post-discussion
1:02:59 Thoughts and wishes for the future of AI
1:06:11 Wrap up
1:07:40 Outro
Detailed shownotes over at: petermbach.com/podcast for more in-depth information about each episode.
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Hosted by Peter Marcus Bach (www.petermbach.com), follow me on:
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Chapters
1. Intro (00:00:00)
2. Guest Intro - Reflections on the first podcast (00:01:27)
3. Introducing the broad topic area (00:03:00)
4. Guest's prior experience with AI (00:04:46)
5. How this experiment works (00:08:37)
6. The prompt and human's summary and expectation (00:14:09)
7. Live Reaction (00:18:20)
8. Post-discussion (00:55:58)
9. Thoughts and wishes for the future of AI (01:02:59)
10. Wrap up (01:06:11)
11. Outro (01:07:40)
56 episodes
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