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The NotebookLM Mini Series #3: Multi-tasking superheroes and going meta on AI (feat. Veljko Prodanovic)
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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 #3 delves into "Different perspectives on urban nature-based solutions" - Veljko Prodanovic (ep13) and I react to how NotebookLM produces a deep dive discussion on an opinion piece around human, ecological and AI perspectives of urban nature based solutions, this time guided by a focus prompt.
Full Reference to the Paper: Prodanovic, V., Bach, P.M. and Stojkovic, M., 2024. Urban nature-based solutions planning for biodiversity outcomes: human, ecological, and artificial intelligence perspectives. Urban Ecosystems, 27(5), pp.1795-1806. https://doi.org/10.1007/s11252-024-01558-6
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
1:26 Guest Intro and callback to main series
3:31 How this experiment works
4:31 Guest's prior experience with AI
9:50 The human summary
11:20 Live Reaction
49:18 Post-discussion
53:40 Potential Future of AI
55:54 Wrap up
57:21 Outro
Detailed shownotes over at: petermbach.com/podcast for more in-depth information about each episode.
Join the community over at: linkedin.com/company/tgcpodcast and let's connect across the world!
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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 and callback to main series (00:01:26)
3. How this experiment works (00:03:31)
4. Guest's prior experience with AI (00:04:31)
5. The human summary (00:09:50)
6. Live Reaction (00:11:20)
7. Post-discussion (00:49:18)
8. Potential Future of AI (00:53:40)
9. Wrap up (00:55:54)
10. Outro (00:57:21)
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