The NotebookLM Mini Series #2: Playing "Urban Tetris" and "Heat Detectives" with Blue Green Systems (feat. João P. Leitão)

The Grand Challengers Podcast

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 #2 delves into "Tools for urban heat mitigation" - João Paulo Leitão (ep1, ep40) and I react to how NotebookLM produces a deep dive discussion of a fairly long and comprehensive literature review paper that we co-authored along with colleagues.

Full Reference to the Paper: Probst, N., Bach, P.M., Cook, L.M., Maurer, M. and Leitão, J.P., 2022. Blue Green Systems for urban heat mitigation: mechanisms, effectiveness and research directions. Blue-Green Systems, 4(2), pp.348-376. https://doi.org/10.2166/bgs.2022.028

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:
00:00 Intro
1:25 Guest Intro
1:57 Guest’s prior experience with AI
4:06 How this experiment works
5:17 Live Reaction
49:22 Post-discussion
52:12 Thoughts on the future of AI
53:49 Final remarks
54:39 Outro

Detailed shownotes over at: petermbach.com/podcast for more in-depth information about each episode.
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Chapters

1. Intro (00:00:00)

2. Guest Intro (00:01:25)

3. Guest's prior experience with AI (00:01:57)

4. How this experiment works (00:04:06)

5. Live Reaction (00:05:17)

6. Post-discussion (00:49:22)

7. Thoughts on the future of AI (00:52:12)

8. Final remarks (00:53:49)

9. Outro (00:54:39)