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Transforming content into engaging audio conversations is just one feature of NotebookLM 🗣️ Steven Johnson and Raiza Martin from the Google Labs team believe it could be transformative for learning, research, and creative exploration too. Join host Professor Hannah Fry as she discusses this and more on the latest... episode of Google DeepMind: The Podcast ↓ 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 reflectionsshow more

Google DeepMind

1,369,483 subscribers

53,930 views • 1 year ago •via X (Twitter)

Science & Technology Health & Wellness Education

Anya Rossi• Live Now

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6 Comments

Google DeepMind1 year ago

Watch → @YouTube Spotify → Apple Podcasts → Or listen wherever you get your podcasts! 🎧

Michal Sabó1 year ago

@raizamrtn @notebooklm @stevenbjohnson @labsdotgoogle @FryRsquared It works great!

Journal of Astrological Big Data Ecology1 year ago

@notebooklm @stevenbjohnson @raizamrtn @labsdotgoogle @FryRsquared We’ve started translating the papers of my journal into podcasts, it’s a fun new way of putting our content out there but very annoying when they make up things that weren’t in the research. Mixing up fiction and research isn’t all that bad so we publish it all anyway

𝕏one - exo/acc 🧙🏽‍♂️🎨1 year ago

@notebooklm @stevenbjohnson @raizamrtn @labsdotgoogle @FryRsquared Can you please add the voice of Prof. Hannah Fry to NotebookLM as a host.

@StevenStrauss1 year ago

@notebooklm @stevenbjohnson @raizamrtn @labsdotgoogle @FryRsquared @readwise save

Vinay Rao1 year ago

@notebooklm @stevenbjohnson @raizamrtn @labsdotgoogle @FryRsquared How does one fast track access to NotebookLM using my org ID?

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Raoul Pal

166,795 views • 1 year ago

#명재현 댄스 챌린지 모음 zip 00:00 Candy 00:26 특 00:51 # menow 01:20 최애의 아이 01:36 NIGHT DANCER 01:57 Seven 02:21 Cream Soda 02:47 RINDAMAN 03:23 In Bloom 03:41 ALOHA 04:12 해금 04:29 Killin' Me Good 04:56 Bubble 05:19 블루체크 05:36 Ready or Not 05:49 Perfume 06:04 겐토 06:29 ビートDEトーヒ 07:00 3D 07:41 Worth It 07:52 B.O.M.B 08:28 첫 눈 08:43 War Cry 08:58 Perfect Night 09:37 Like I Do 09:48 Honey 10:05 DASH 10:27 Standing Next To You 10:46 Hype Boy 11:13 첫 만남은 계획대로 되지 않아 11:41 사랑스러워 12:07 때깔 12:22 Legit 12:51 Water 13:04 Two of Hearts 13:12 EASY 13:32 Smoke Remix 14:09 TAP 14:46 Martini Blue 15:03 BODY 15:26 PICK IT UP 15:41 LIGHTHOUSE 16:00 EENIE MEENIE 16:22 Nectar 16:45 C'est La Vie 17:07 쩔어 17:26 꿈빛 파티시엘 17:56 Impossible 18:14 포켓몬 18:29 SWEAT 18:51 빠나나날라 19:41 SPOT! 20:05 포철고 20:28 빛 20:56 MAESTRO 21:21 Girls Never Die 21:45 KICK IT 22:12 Armageddon 22:39 Taxi Blurr 23:00 Nothin' on You 23:20 Feel the POP 23:39 Shooting Star 24:00 진격의 방탄 24:16 ZOMBIE 24:30 LIKE THAT 24:45 ABCD 25:01 Boom Boom Bass 25:16 Yo Bunny 25:31 BADVILLAIN 25:51 올드스쿨 뉴스쿨 26:08 Supernatural 26:31 How Sweet 27:08 내일에서 기다릴게 27:31 Peaches 27:46 GOOD SO BAD 28:13 별별별 28:41 CRAZY 29:03 슈퍼슈퍼 29:32 껌 29:52 I Need A Girl 30:14 SAD SONG 30:32 네모네모 30:51 옴브리뉴 31:12 반가워, 나의 첫사랑 31:33 혀끝 32:00 Hit the Floor 32:16 기억사탕 32:34 Cherish

#명재현 댄스 챌린지 모음 zip 00:00 Candy 00:26 특 00:51 # menow 01:20 최애의 아이 01:36 NIGHT DANCER 01:57 Seven 02:21 Cream Soda 02:47 RINDAMAN 03:23 In Bloom 03:41 ALOHA 04:12 해금 04:29 Killin' Me Good 04:56 Bubble 05:19 블루체크 05:36 Ready or Not 05:49 Perfume 06:04 겐토 06:29 ビートDEトーヒ 07:00 3D 07:41 Worth It 07:52 B.O.M.B 08:28 첫 눈 08:43 War Cry 08:58 Perfect Night 09:37 Like I Do 09:48 Honey 10:05 DASH 10:27 Standing Next To You 10:46 Hype Boy 11:13 첫 만남은 계획대로 되지 않아 11:41 사랑스러워 12:07 때깔 12:22 Legit 12:51 Water 13:04 Two of Hearts 13:12 EASY 13:32 Smoke Remix 14:09 TAP 14:46 Martini Blue 15:03 BODY 15:26 PICK IT UP 15:41 LIGHTHOUSE 16:00 EENIE MEENIE 16:22 Nectar 16:45 C'est La Vie 17:07 쩔어 17:26 꿈빛 파티시엘 17:56 Impossible 18:14 포켓몬 18:29 SWEAT 18:51 빠나나날라 19:41 SPOT! 20:05 포철고 20:28 빛 20:56 MAESTRO 21:21 Girls Never Die 21:45 KICK IT 22:12 Armageddon 22:39 Taxi Blurr 23:00 Nothin' on You 23:20 Feel the POP 23:39 Shooting Star 24:00 진격의 방탄 24:16 ZOMBIE 24:30 LIKE THAT 24:45 ABCD 25:01 Boom Boom Bass 25:16 Yo Bunny 25:31 BADVILLAIN 25:51 올드스쿨 뉴스쿨 26:08 Supernatural 26:31 How Sweet 27:08 내일에서 기다릴게 27:31 Peaches 27:46 GOOD SO BAD 28:13 별별별 28:41 CRAZY 29:03 슈퍼슈퍼 29:32 껌 29:52 I Need A Girl 30:14 SAD SONG 30:32 네모네모 30:51 옴브리뉴 31:12 반가워, 나의 첫사랑 31:33 혀끝 32:00 Hit the Floor 32:16 기억사탕 32:34 Cherish

먕

91,257 views • 1 year ago

Our friends Waymo have simulated billions of miles of driving, across countless types of scenarios and weather conditions – from harsh sun to intense snow. ❄️ By learning from those experiences, in addition to real-world driving, Waymo’s AI is ready for any rare, complex events. Hear the deep dive with Hannah Fry and Waymo's Distinguished Engineer Vincent Vanhoucke, on our podcast ↓ Timecodes 00:00 Intro 01:02 Ride around town 03:48 The driverless car problem 08:43 Sensors 13:00 3D model of the world 16:42 Closed loop problem 22:51 Multimodal models 29:31 Tokenizing 34:39 Human drivers 43:51 Safety 48:41 London and the future 52:44 Outro

Our friends Waymo have simulated billions of miles of driving, across countless types of scenarios and weather conditions – from harsh sun to intense snow. ❄️ By learning from those experiences, in addition to real-world driving, Waymo’s AI is ready for any rare, complex events. Hear the deep dive with Hannah Fry and Waymo's Distinguished Engineer Vincent Vanhoucke, on our podcast ↓ Timecodes 00:00 Intro 01:02 Ride around town 03:48 The driverless car problem 08:43 Sensors 13:00 3D model of the world 16:42 Closed loop problem 22:51 Multimodal models 29:31 Tokenizing 34:39 Human drivers 43:51 Safety 48:41 London and the future 52:44 Outro

Google DeepMind

54,916 views • 8 months ago

How GPT-5 thinks, with OpenAI VP of Research Jerry Tworek 00:00 - Intro 01:01 - What Reasoning Actually Means in AI 02:32 - Chain of Thought: Models Thinking in Words 05:25 - How Models Decide How Long to Think 07:24 - Evolution from o1 to o3 to GPT-5 11:00 - The Road to OpenAI: Growing up in Poland, Dropping out of School, Trading 20:32 - Working on Robotics and Rubik's Cube Solving 23:02 - A Day in the Life: Talking to Researchers 24:06 - How Research Priorities Are Determined 26:53 - OpenAI's Culture of Transparency 29:32 - Balancing Research with Shipping Fast 31:52 - Using OpenAI's Own Tools Daily 32:43 - Pre-Training Plus RL: The Modern AI Stack 35:10 - Reinforcement Learning 101: Training Dogs 40:17 - The Evolution of Deep Reinforcement Learning 42:09 - When GPT-4 Seemed Underwhelming at First 45:39 - How RLHF Made GPT-4 Actually Useful 48:02 - Unsupervised vs Supervised Learning 49:59 - GRPO and How DeepSeek Accelerated US Research 53:05 - What It Takes to Scale Reinforcement Learning 55:36 - Agentic AI and Long-Horizon Thinking 59:19 - Alignment as an RL Problem 1:01:11 - Winning ICPC World Finals Without Specific Training 1:05:53 - Applying RL Beyond Math and Coding 1:09:15 - The Path from Here to AGI 1:12:23 - Pure RL vs Language Models

How GPT-5 thinks, with OpenAI VP of Research Jerry Tworek 00:00 - Intro 01:01 - What Reasoning Actually Means in AI 02:32 - Chain of Thought: Models Thinking in Words 05:25 - How Models Decide How Long to Think 07:24 - Evolution from o1 to o3 to GPT-5 11:00 - The Road to OpenAI: Growing up in Poland, Dropping out of School, Trading 20:32 - Working on Robotics and Rubik's Cube Solving 23:02 - A Day in the Life: Talking to Researchers 24:06 - How Research Priorities Are Determined 26:53 - OpenAI's Culture of Transparency 29:32 - Balancing Research with Shipping Fast 31:52 - Using OpenAI's Own Tools Daily 32:43 - Pre-Training Plus RL: The Modern AI Stack 35:10 - Reinforcement Learning 101: Training Dogs 40:17 - The Evolution of Deep Reinforcement Learning 42:09 - When GPT-4 Seemed Underwhelming at First 45:39 - How RLHF Made GPT-4 Actually Useful 48:02 - Unsupervised vs Supervised Learning 49:59 - GRPO and How DeepSeek Accelerated US Research 53:05 - What It Takes to Scale Reinforcement Learning 55:36 - Agentic AI and Long-Horizon Thinking 59:19 - Alignment as an RL Problem 1:01:11 - Winning ICPC World Finals Without Specific Training 1:05:53 - Applying RL Beyond Math and Coding 1:09:15 - The Path from Here to AGI 1:12:23 - Pure RL vs Language Models

Matt Turck

451,229 views • 9 months ago

Nikhil Kamath Interviews Elon Podcast timestamps: 00:00:44 – Intro & banter 00:02:31 – X user stats & video future 00:05:07 – Twitter’s past political bias 00:07:30 – X as global town square 00:10:13 – Meaning of life & consciousness 00:17:36 – Spirituality vs physics 00:18:35 – Investing principles 00:20:30 – Company convergence & Optimus 00:23:23 – Starlink technology 00:29:06 – Urbanization & universal high income 00:30:51 – Future of work & post-scarcity 00:36:07 – Why everything is “X” 00:42:24 – Future of money & energy currency 00:47:00 – Debt, deflation & AI impact 00:51:17 – Simulation theory 00:56:43 – Morality without religion 01:06:35 – Having kids & population decline 01:12:32 – College & future of education 01:15:03 – AI values & truth-seeking 01:23:44 – Future of content & live events 01:26:03 – Stock picks (non-Tesla) 01:30:05 – Humor & comedy 01:37:44 – Nietzsche & philosophy 01:39:14 – Tariffs & free trade 01:43:22 – DOGE & government waste 01:48:04 – Immigration & H1B visas 01:51:24 – Final message to India

Nikhil Kamath Interviews Elon Podcast timestamps: 00:00:44 – Intro & banter 00:02:31 – X user stats & video future 00:05:07 – Twitter’s past political bias 00:07:30 – X as global town square 00:10:13 – Meaning of life & consciousness 00:17:36 – Spirituality vs physics 00:18:35 – Investing principles 00:20:30 – Company convergence & Optimus 00:23:23 – Starlink technology 00:29:06 – Urbanization & universal high income 00:30:51 – Future of work & post-scarcity 00:36:07 – Why everything is “X” 00:42:24 – Future of money & energy currency 00:47:00 – Debt, deflation & AI impact 00:51:17 – Simulation theory 00:56:43 – Morality without religion 01:06:35 – Having kids & population decline 01:12:32 – College & future of education 01:15:03 – AI values & truth-seeking 01:23:44 – Future of content & live events 01:26:03 – Stock picks (non-Tesla) 01:30:05 – Humor & comedy 01:37:44 – Nietzsche & philosophy 01:39:14 – Tariffs & free trade 01:43:22 – DOGE & government waste 01:48:04 – Immigration & H1B visas 01:51:24 – Final message to India

X Freeze

11,859 views • 7 months ago

My conversation with Bill Gurley on thinking, making decisions, and the future 0:00 Systems Thinking & Mental Models 05:21 The Power of Knowing Industry Bedrock 08:50 Traits in Founders 11:44 Surprising AI Use 13:13 The Future of AI 23:04 Is Tesla Self-driving THAT good? 24:15 Non-Consensus Opinions 24:53 The AI Buildout (Bubble?) 29:40 The Role of Retail Investors 34:26 Stablecoin 39:55 AI and Debt Analysis 45:05 Storytelling as a Superpower 50:12 Lessons from Uber 52:10 Inside the Benchmark Structure 59:42 Success Listen and Learn! (Includes paid partnerships.)

My conversation with Bill Gurley on thinking, making decisions, and the future 0:00 Systems Thinking & Mental Models 05:21 The Power of Knowing Industry Bedrock 08:50 Traits in Founders 11:44 Surprising AI Use 13:13 The Future of AI 23:04 Is Tesla Self-driving THAT good? 24:15 Non-Consensus Opinions 24:53 The AI Buildout (Bubble?) 29:40 The Role of Retail Investors 34:26 Stablecoin 39:55 AI and Debt Analysis 45:05 Storytelling as a Superpower 50:12 Lessons from Uber 52:10 Inside the Benchmark Structure 59:42 Success Listen and Learn! (Includes paid partnerships.)

Shane Parrish

493,737 views • 1 month ago