Inside NotebookLM | Raiza Martin and Steven Johnson

Google DeepMind · Beginner ·🖊️ Copywriting & Content Strategy ·1y ago
NotebookLM is a research assistant powered by Gemini that draws on expertise from storytelling to present information in an engaging way. It allows users to upload their own documents and generate insights, explanations, and—more recently—podcasts. This innovative feature, also known as audio overviews, has captured the imagination of millions of people worldwide, who have created thousands of engaging podcasts ranging from personal narratives to educational explainers using source materials like CVs, personal journals, sales decks, and more. Join Raiza Martin and Steven Johnson from Google Labs, Google’s testing ground for products, as they guide host Hannah Fry through the technical advancements that have made NotebookLM possible. In this episode they'll explore what it means to be interesting, the challenges of generating natural-sounding speech, as well as exciting new modalities on the horizon. Timecodes: 00:00 Intro 03:05 Hannah’s PhD 04:23 Reactions to audio overviews 08:45 Origins of NotebookLM 10:42 Source grounding 14:05 A tool for writers 15:22 Journaling 17:31 Why podcasts? 19:29 Evolution of audio generation technology 20:25 Interestingness 25:52 Soon to come capabilities 27:40 Hallucinations 29:09 Humor 32:00 Criticisms of the tools 39:10 Privacy 40:55 Future modalities 42:52 Limits of AI content creation 42:33 Hannah’s reflections Further reading: Try NotebookLM here: https://notebooklm.google/ Learn more about audio generation: https://deepmind.google/discover/blog/pushing-the-frontiers-of-audio-generation/ Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director: Daniel Lazard Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Alex Baro Cayetano, Daniel Lazard Video Production Design: James Barton V
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2 RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
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3 RL Course by David Silver - Lecture 2: Markov Decision Process
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4 RL Course by David Silver - Lecture 5: Model Free Control
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5 RL Course by David Silver - Lecture 6: Value Function Approximation
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6 RL Course by David Silver - Lecture 4: Model-Free Prediction
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7 RL Course by David Silver - Lecture 3: Planning by Dynamic Programming
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8 RL Course by David Silver - Lecture 10: Classic Games
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9 RL Course by David Silver - Lecture 7: Policy Gradient Methods
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10 Google DeepMind: Ground-breaking AlphaGo masters the game of Go
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11 Match 1 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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12 Match 2 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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13 Match 1 15 min Summary - Google DeepMind Challenge Match
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14 Match 3 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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15 Match 2 15 Minute Summary - Google DeepMind Challenge Match 2016
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16 Match 3 15 Minute Summary - Google DeepMind Challenge Match 2016
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17 Match 4 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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18 Match 4 15 Minute Summary - Google DeepMind Challenge Match 2016
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19 Match 5 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
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20 Match 5 15 Minute Summary - Google DeepMind Challenge Match 2016
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21 DQN SPACE INVADERS
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22 DQN Breakout
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23 Asynchronous Methods for Deep Reinforcement Learning: Labyrinth
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24 Asynchronous Methods for Deep Reinforcement Learning: MuJoCo
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25 Asynchronous Methods for Deep Reinforcement Learning: TORCS
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26 Differentiable neural computer family tree inference task
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27 StarCraft II DeepMind feature layer API
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28 DeepMind Health – Partnership with the Royal Free London NHS Foundation Trust
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29 DeepMind Health – Michael Wise – a patient's journey
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30 Streams – a platform for a digital NHS
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31 DeepMind Lab - Nav Maze Level 1
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32 DeepMind Lab - Stairway to Melon Level
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33 DeepMind Lab - Laser Tag Space Bounce Level (Hard)
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34 Exploring the mysteries of Go with AlphaGo and China's top players
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35 Demis Hassabis on AlphaGo: its legacy and the 'Future of Go Summit' in Wuzhen, China
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36 The Future of Go Summit: AlphaGo & Ke Jie match 1 moves analysis
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37 The Future of Go Summit: AlphaGo & Ke Jie match 2 moves analysis
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38 The Future of Go Summit: Pair Go moves analysis
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39 The Future of Go Summit: AlphaGo & Ke Jie match 3 moves analysis
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40 Emergence of Locomotion Behaviours in Rich Environments
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41 StarCraft II 'mini games' for AI research
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42 Trained and untrained agents play StarCraft II full 1vs1 game
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43 DeepMind open source PySC2 toolset for Starcraft II
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44 ICML 2017: Test of Time Award (Sylvain Gelly & David Silver)
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45 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 3rd AlphaGo vs Ke Jie game
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46 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 1st AlphaGo vs Ke Jie game
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47 Ke Jie and DeepMind's Go Ambassador Fan Hui review the 2nd AlphaGo vs Ke Jie game
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48 AlphaGo Zero: Discovering new knowledge
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49 AlphaGo Zero: Starting from scratch
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50 Defining principles for tech companies in the NHS: DeepMind Health's Collaborative Listening Summit
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51 A systems neuroscience approach to building AGI - Demis Hassabis, Singularity Summit 2010
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52 Retour de Rémi Munos en France et ouverture de DeepMind Paris
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53 Grid cells - Caswell Barry, UCL
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54 DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: What our research shows
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55 DeepMind Health Research and Moorfields Eye Hospital NHS Foundation Trust: A Patient's Story
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56 Deep Learning 3: Neural Networks Foundations
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57 Deep Learning 5: Optimization for Machine Learning
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58 Deep Learning 8: Unsupervised learning and generative models
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60 Deep Learning 2: Introduction to TensorFlow
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Chapters (18)

Intro
3:05 Hannah’s PhD
4:23 Reactions to audio overviews
8:45 Origins of NotebookLM
10:42 Source grounding
14:05 A tool for writers
15:22 Journaling
17:31 Why podcasts?
19:29 Evolution of audio generation technology
20:25 Interestingness
25:52 Soon to come capabilities
27:40 Hallucinations
29:09 Humor
32:00 Criticisms of the tools
39:10 Privacy
40:55 Future modalities
42:52 Limits of AI content creation
42:33 Hannah’s reflections
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