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The Scott Alexander & Daniel Kokotajlo episode. Scott and Daniel break down every month from now until the 2027 intelligence explosion. Misaligned hive minds, Xi and Trump waking up, automated Ilyas accelerating AI progress. I went in quite skeptical. But I learned a tremendous amount by bouncing different objections...

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Dwarkesh Patel

243,387 subscribers

362,438 次观看 • 1 年前 •via X (Twitter)

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11 条评论

Dwarkesh Patel 的头像
Dwarkesh Patel1 年前

AI 2027: Transcript: Apple Podcasts: Spotify: YouTube:

Yang 的头像
Yang1 年前

Build powerful AI agents and automations for your business today. Check out our step-by-step video tutorials 100% FREE 🥳

Daniel Kokotajlo 的头像
Daniel Kokotajlo1 年前

@slatestarcodex Thanks Dwarkesh! It was an honor to go on your podcast.

Dwarkesh Patel 的头像
Dwarkesh Patel1 年前

@slatestarcodex The pleasure was mine! Thanks for coming on Daniel!

Zvi Mouseowitz 🐭💅 的头像
Zvi Mouseowitz 🐭💅1 年前

@slatestarcodex @DKokotajlo surely this is the biggest guest yet... right?

Manifold 的头像
Manifold1 年前

@slatestarcodex @DKokotajlo The motion of the market is a beautiful thing to see. Congrats, what an exciting episode!!

Neil Postal 的头像
Neil Postal1 年前

@slatestarcodex @DKokotajlo No WAY you got Scott on a podcast. Dwarkesh is truly the goat

Noah Carl 的头像
Noah Carl1 年前

@slatestarcodex @DKokotajlo LLMs are making discoveries:

Ankur Pandey 的头像
Ankur Pandey1 年前

@slatestarcodex @DKokotajlo First @gwern and now @slatestarcodex! Fuck me

faw 的头像
faw1 年前

@slatestarcodex @DKokotajlo omg!!

Shrieking Brain (SAAA) 的头像
Shrieking Brain (SAAA)1 年前

@slatestarcodex @DKokotajlo holy shit, scott!

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No one: *insert lack of people here*: Me: Here's over four hours of CART 1996-02 onboard footage with timestamps if you want to find a driver that you like #INDYCAR Timestamps (Driver, Year, Track) 0:00 JPM '99 Long Beach 1:00 Andretti '97 Portland 1:43 Takagi '02 Motegi 2:08 JPM '00 Denver 2:57 Fernandez '99 Fontana 3:57 Gordon '96 Toronto 4:53 Andretti '98 Rio de Janeiro 6:41 Brack '02 Toronto 7:37 de Ferran '97 Fontana 8:59 da Matta '02 Monterrey 12:13 Gugelmin '01 Texas 12:40 Papis '00 Toronto 13:40 Bruno '01 Nazareth 14:10 de Ferran '96 Cleveland 15:06 Vasser '00 Michigan 15:37 Fernandez '98 Toronto 16:47 Dixon '01 Rockingham 17:29 Johansson '96 Vancouver 18:05 Tracy '02 Chicago 19:11 Rahal '96 Long Beach 19:59 Servia '02 Rockingham 20:43 Vasser '96 Toronto 22:16 Andretti '97 Fontana 23:08 Bruno '02 Denver 25:43 Pruett '98 Michigan 26:16 JPM '00 Road America 26:54 de Ferran '97 Gateway 27:26 Brack '02 Laguna Seca 29:33 Andretti '96 Milwaukee 31:33 Zanardi '98 Toronto 33:01 Papis 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Paradise 1:11:13 Minassian '01 Texas 1:12:48 Franchitti '02 Monterrey 1:14:27 Kanaan '99 Surfers Paradise 1:15:09 Vasser '96 Homestead 1:16:01 Franchitti '02 Mid-Ohio 1:17:16 Papis '00 Cleveland 1:18:18 Bruno '02 Road America 1:20:32 Andretti '99 Homestead 1:20:54 Bruno '01 Vancouver 1:22:07 Andretti '99 Motegi 1:23:11 JPM '00 Vancouver 1:23:41 Tracy '02 Laguna Seca 1:25:22 Minassian '01 Denver 1:26:23 Andretti '99 Gateway 1:26:49 Bruno '02 Denver 1:28:46 Andretti '99 Road America 1:30:04 Dixon '01 Surfers Paradise 1:30:37 Franchitti '02 Portland 1:32:48 Vasser '96 Vancouver 1:33:24 Andretti '98 Nazareth 1:34:00 Tracy '02 Toronto 1:34:56 JPM '99 Portland 1:36:45 Rahal '97 Homestead 1:37:24 Carpentier '02 Road America 1:39:02 da Matta '00 Nazareth 1:40:14 Zanardi '98 Toronto 1:40:59 Johansson '96 Portland 1:41:54 Brack '02 Long Beach 1:42:33 Boesel '97 Laguna Seca 1:43:28 Andretti '99 Homestead 1:44:26 Rahal '98 Denver 1:45:57 Johnstone '96 Portland 1:46:55 JPM '00 Chicago 1:47:35 da Matta '02 Laguna Seca 1:49:36 Brack '01 Chicago 1:50:44 Carpentier '02 Montreal 1:52:25 Gidley '01 Rockingham 1:53:01 Vasser '02 Mid-Ohio 1:54:23 Dixon '01 Houston 1:55:12 JPM '99 Milwaukee 1:56:15 Gugelmin '01 Mid-Ohio 1:57:13 Tracy '02 Miami 1:59:02 Pruett '98 Fontana 1:59:37 Andretti '99 Portland 2:00:32 Papis '00 Michigan 2:01:23 Andretti '96 Laguna Seca 2:03:21 Fernandez '99 Surfers Paradise 2:04:23 Brack '02 Fontana 2:05:24 Papis '00 Cleveland 2:06:08 da Matta '02 Laguna Seca 2:10:12 Ribiero '97 Michigan 2:10:59 Brack '02 Vancouver 2:12:26 Fernandez '99 Laguna Seca 2:13:49 Rahal '97 Fontana 2:14:27 Gidley '01 Road America 2:15:14 Fernandez '02 Milwaukee 2:16:26 Zanardi '98 Vancouver 2:17:54 Fittipaldi '97 Laguna Seca 2:18:58 Bell '02 Motegi 2:19:39 JPM '00 Laguna Seca 2:20:32 Pruett '98 Gateway 2:21:07 Franchitti '02 Toronto 2:23:08 JPM '99 Portland 2:24:08 Dixon '01 Lausitz 2:24:44 Vasser '02 Denver 2:25:55 Fernandez '01 Motegi 2:27:19 Tracy '02 Mexico City 2:28:20 Fittipaldi '99 Gateway 2:29:38 Carpentier '02 Mid-Ohio 2:30:13 Andretti '97 Surfers Paradise 2:31:40 Vasser '96 Nazareth 2:32:05 de Ferran '97 Long Beach 2:33:13 Vasser '99 Homestead 2:33:39 Kanaan '02 Cleveland 2:34:30 Fernandez '01 Chicago 2:35:58 Brack '02 Laguna Seca 2:37:21 Fernandez '01 Texas 2:37:49 JPM '99 Denver 2:38:44 de Ferran '97 Rio de Janeiro 2:39:28 Hearn '98 Road America 2:44:50 Brack '02 Vancouver 2:44:02 Andretti '98 Homestead 2:45:00 Tracy '02 Laguna Seca 2:46:16 Gidley '01 Chicago 2:47:12 Fittipaldi '96 Cleveland 2:48:18 JPM '00 Portland 2:49:57 Rahal '98 Motegi 2:50:28 Blundell '00 Long Beach 2:51:39 Franchitti '02 Rockingham 2:52:03 Andretti '99 Mid-Ohio 2:53:25 Tracy '02 Vancouver 2:54:33 Gugelmin '01 Portland 2:55:41 JPM '00 Denver 2:56:44 Franchitti '02 Motegi 2:57:25 Zanardi '98 Toronto 2:59:41 Franchitti '02 Rockingham 3:00:17 JPM '00 Laguna Seca 3:01:35 Tracy '02 Toronto 3:04:18 Brack '01 Michigan 3:04:51 da Matta '02 Monterrey 3:06:04 Jones '99 Rio de Janeiro 3:06:57 JPM '00 Houston 3:07:33 Fernandez '02 Monterrey 3:09:02 Bruno '01 Nazareth 3:10:20 Rahal '96 Toronto 3:11:23 da Matta '02 Road America 3:13:42 Pruett '96 Nazareth 3:14:40 JPM '00 Road America 3:15:23 Fittipaldi '99 Cleveland 3:16:31 Hearn '98 Rio de Janeiro 3:17:58 Andretti '02 Road America 3:18:54 Vasser '96 Milwaukee 3:19:37 Franchitti '02 Portland 3:20:34 Andretti '97 Toronto 3:21:26 Vasser '99 Milwaukee 3:22:06 Papis '00 Vancouver 3:22:48 Bruno '01 Laguna Seca 3:24:10 Rahal '97 Rio de Janeiro 3:25:22 Brack '02 Denver 3:26:15 Gordon '99 Chicago 3:27:03 Fittipaldi '96 Portland 3:27:41 Nakano '01 Motegi 3:28:34 Vasser '02 Denver 3:29:46 Andretti '99 Milwaukee 3:30:27 Pruett '98 Mid-Ohio 3:31:23 Papis '00 Milwaukee 3:31:55 Andretti '99 Denver 3:33:01 Bruno '01 Nazareth 3:33:34 Carpentier '02 Montreal 3:35:11 Andretti '99 Nazareth 3:36:01 JPM '00 Mid-Ohio 3:37:05 Rahal '98 Rio de Janeiro 3:37:48 Kanaan '02 Cleveland 3:39:01 Vasser '00 Motegi 3:40:10 Fittipaldi '02 Montreal 3:41:20 da Matta '00 Michigan 3:41:55 Zanardi '98 Toronto 3:42:57 Papis '00 Milwaukee 3:43:53 Bruno '02 Portland 3:44:48 da Matta '01 Fontana 3:45:42 Zanardi '98 Portland 3:46:42 Andretti '99 Nazareth 3:47:44 Carpentier '02 Mid-Ohio 3:48:55 Andretti '99 Fontana 3:49:42 Vasser '01 Houston 3:50:34 Rahal '98 Fontana 3:51:57 JPM '00 Portland 3:53:15 Andretti '99 Cleveland 3:54:30 Vasser '97 Homestead 3:55:30 Andretti '99 Cleveland 3:56:32 Servia '02 Rockingham 3:56:59 Fernandez '01 Surfers Paradise 3:58:27 Tracy '02 Fontana 3:59:08 JPM '99 Denver 4:00:16 Papis '00 Homestead 4:00:44 Franchitti '02 Laguna Seca 4:02:39 Bruno '01 Milwaukee 4:03:25 Carpentier '02 Vancouver 4:04:34 JPM '99 Milwaukee 4:05:04 Kanaan '02 Cleveland 4:05:55 Jones '99 Gateway 4:06:30 da Matta '02 Laguna Seca 4:07:38 Vasser '99 Motegi 4:08:13 Fontana '00 Long Beach 4:09:49 Bruno '01 Milwaukee 4:10:54 Carpentier '02 Cleveland 4:11:59 Andretti '99 Gateway 4:12:51 Franchitti '02 Road America 4:14:29 Zanardi '98 Toronto 4:15:51 da Matta '02 Fontana 4:16:51 Ribiero '97 Toronto 4:19:16 Nakano '00 Laguna Seca 4:20:12 Gidley '01 Fontana 4:20:42 Kanaan '99 Mid-Ohio 4:21:48 da Matta '01 Fontana 4:22:33 Andretti '02 Monterrey 4:24:22 Pruett '96 Toronto 4:26:40 Vasser '99 Michigan
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No one: *insert lack of people here*: Me: Here's over four hours of CART 1996-02 onboard footage with timestamps if you want to find a driver that you like #INDYCAR Timestamps (Driver, Year, Track) 0:00 JPM '99 Long Beach 1:00 Andretti '97 Portland 1:43 Takagi '02 Motegi 2:08 JPM '00 Denver 2:57 Fernandez '99 Fontana 3:57 Gordon '96 Toronto 4:53 Andretti '98 Rio de Janeiro 6:41 Brack '02 Toronto 7:37 de Ferran '97 Fontana 8:59 da Matta '02 Monterrey 12:13 Gugelmin '01 Texas 12:40 Papis '00 Toronto 13:40 Bruno '01 Nazareth 14:10 de Ferran '96 Cleveland 15:06 Vasser '00 Michigan 15:37 Fernandez '98 Toronto 16:47 Dixon '01 Rockingham 17:29 Johansson '96 Vancouver 18:05 Tracy '02 Chicago 19:11 Rahal '96 Long Beach 19:59 Servia '02 Rockingham 20:43 Vasser '96 Toronto 22:16 Andretti '97 Fontana 23:08 Bruno '02 Denver 25:43 Pruett '98 Michigan 26:16 JPM '00 Road America 26:54 de Ferran '97 Gateway 27:26 Brack '02 Laguna Seca 29:33 Andretti '96 Milwaukee 31:33 Zanardi '98 Toronto 33:01 Papis '02 Fontana 33:53 Bruno '01 Toronto 35:15 Fittipaldi '96 Portland 36:12 Servia '02 Rockingham 36:40 Zanardi '98 Toronto 37:49 Andretti '96 Rio de Janeiro 38:34 Tracy '02 Vancouver 40:32 JPM '99 Homestead 41:11 Papis '01 Long Beach 41:39 Franchitti '02 Rockingham 42:11 Zanardi '98 Toronto 44:30 Gugelmin '01 Monterrey 45:10 Hearn '99 Milwaukee 46:15 Andretti '02 Monterrey 48:56 Brack '01 Chicago 49:26 da Matta '02 Road America 51:21 Pruett '98 Gateway 51:53 Tags '02 Toronto 52:34 Vasser '98 Motegi 53:06 Papis '02 Mid-Ohio 53:41 Hearn '98 Nazareth 54:18 da Matta '02 Monterrey 55:24 Vasser '00 Nazareth 56:25 Franchitti '02 Mexico City 57:40 Zanardi '98 Michigan 58:06 Franchitti '02 Portland 1:00:46 Vasser '00 Rio de Janeiro 1:01:34 Fittipaldi '98 Vancouver 1:02:42 Vasser '99 Nazareth 1:03:42 de Ferran '98 Denver 1:04:36 Fittipaldi '96 Mid-Ohio 1:05:29 Dixon '01 Vancouver 1:06:26 Rahal '98 Laguna Seca 1:08:10 Brack '02 Vancouver 1:09:16 Pruett '97 Rio de Janeiro 1:09:55 Rahal '98 Surfers Paradise 1:11:13 Minassian '01 Texas 1:12:48 Franchitti '02 Monterrey 1:14:27 Kanaan '99 Surfers Paradise 1:15:09 Vasser '96 Homestead 1:16:01 Franchitti '02 Mid-Ohio 1:17:16 Papis '00 Cleveland 1:18:18 Bruno '02 Road America 1:20:32 Andretti '99 Homestead 1:20:54 Bruno '01 Vancouver 1:22:07 Andretti '99 Motegi 1:23:11 JPM '00 Vancouver 1:23:41 Tracy '02 Laguna Seca 1:25:22 Minassian '01 Denver 1:26:23 Andretti '99 Gateway 1:26:49 Bruno '02 Denver 1:28:46 Andretti '99 Road America 1:30:04 Dixon '01 Surfers Paradise 1:30:37 Franchitti '02 Portland 1:32:48 Vasser '96 Vancouver 1:33:24 Andretti '98 Nazareth 1:34:00 Tracy '02 Toronto 1:34:56 JPM '99 Portland 1:36:45 Rahal '97 Homestead 1:37:24 Carpentier '02 Road America 1:39:02 da Matta '00 Nazareth 1:40:14 Zanardi '98 Toronto 1:40:59 Johansson '96 Portland 1:41:54 Brack '02 Long Beach 1:42:33 Boesel '97 Laguna Seca 1:43:28 Andretti '99 Homestead 1:44:26 Rahal '98 Denver 1:45:57 Johnstone '96 Portland 1:46:55 JPM '00 Chicago 1:47:35 da Matta '02 Laguna Seca 1:49:36 Brack '01 Chicago 1:50:44 Carpentier '02 Montreal 1:52:25 Gidley '01 Rockingham 1:53:01 Vasser '02 Mid-Ohio 1:54:23 Dixon '01 Houston 1:55:12 JPM '99 Milwaukee 1:56:15 Gugelmin '01 Mid-Ohio 1:57:13 Tracy '02 Miami 1:59:02 Pruett '98 Fontana 1:59:37 Andretti '99 Portland 2:00:32 Papis '00 Michigan 2:01:23 Andretti '96 Laguna Seca 2:03:21 Fernandez '99 Surfers Paradise 2:04:23 Brack '02 Fontana 2:05:24 Papis '00 Cleveland 2:06:08 da Matta '02 Laguna Seca 2:10:12 Ribiero '97 Michigan 2:10:59 Brack '02 Vancouver 2:12:26 Fernandez '99 Laguna Seca 2:13:49 Rahal '97 Fontana 2:14:27 Gidley '01 Road America 2:15:14 Fernandez '02 Milwaukee 2:16:26 Zanardi '98 Vancouver 2:17:54 Fittipaldi '97 Laguna Seca 2:18:58 Bell '02 Motegi 2:19:39 JPM '00 Laguna Seca 2:20:32 Pruett '98 Gateway 2:21:07 Franchitti '02 Toronto 2:23:08 JPM '99 Portland 2:24:08 Dixon '01 Lausitz 2:24:44 Vasser '02 Denver 2:25:55 Fernandez '01 Motegi 2:27:19 Tracy '02 Mexico City 2:28:20 Fittipaldi '99 Gateway 2:29:38 Carpentier '02 Mid-Ohio 2:30:13 Andretti '97 Surfers Paradise 2:31:40 Vasser '96 Nazareth 2:32:05 de Ferran '97 Long Beach 2:33:13 Vasser '99 Homestead 2:33:39 Kanaan '02 Cleveland 2:34:30 Fernandez '01 Chicago 2:35:58 Brack '02 Laguna Seca 2:37:21 Fernandez '01 Texas 2:37:49 JPM '99 Denver 2:38:44 de Ferran '97 Rio de Janeiro 2:39:28 Hearn '98 Road America 2:44:50 Brack '02 Vancouver 2:44:02 Andretti '98 Homestead 2:45:00 Tracy '02 Laguna Seca 2:46:16 Gidley '01 Chicago 2:47:12 Fittipaldi '96 Cleveland 2:48:18 JPM '00 Portland 2:49:57 Rahal '98 Motegi 2:50:28 Blundell '00 Long Beach 2:51:39 Franchitti '02 Rockingham 2:52:03 Andretti '99 Mid-Ohio 2:53:25 Tracy '02 Vancouver 2:54:33 Gugelmin '01 Portland 2:55:41 JPM '00 Denver 2:56:44 Franchitti '02 Motegi 2:57:25 Zanardi '98 Toronto 2:59:41 Franchitti '02 Rockingham 3:00:17 JPM '00 Laguna Seca 3:01:35 Tracy '02 Toronto 3:04:18 Brack '01 Michigan 3:04:51 da Matta '02 Monterrey 3:06:04 Jones '99 Rio de Janeiro 3:06:57 JPM '00 Houston 3:07:33 Fernandez '02 Monterrey 3:09:02 Bruno '01 Nazareth 3:10:20 Rahal '96 Toronto 3:11:23 da Matta '02 Road America 3:13:42 Pruett '96 Nazareth 3:14:40 JPM '00 Road America 3:15:23 Fittipaldi '99 Cleveland 3:16:31 Hearn '98 Rio de Janeiro 3:17:58 Andretti '02 Road America 3:18:54 Vasser '96 Milwaukee 3:19:37 Franchitti '02 Portland 3:20:34 Andretti '97 Toronto 3:21:26 Vasser '99 Milwaukee 3:22:06 Papis '00 Vancouver 3:22:48 Bruno '01 Laguna Seca 3:24:10 Rahal '97 Rio de Janeiro 3:25:22 Brack '02 Denver 3:26:15 Gordon '99 Chicago 3:27:03 Fittipaldi '96 Portland 3:27:41 Nakano '01 Motegi 3:28:34 Vasser '02 Denver 3:29:46 Andretti '99 Milwaukee 3:30:27 Pruett '98 Mid-Ohio 3:31:23 Papis '00 Milwaukee 3:31:55 Andretti '99 Denver 3:33:01 Bruno '01 Nazareth 3:33:34 Carpentier '02 Montreal 3:35:11 Andretti '99 Nazareth 3:36:01 JPM '00 Mid-Ohio 3:37:05 Rahal '98 Rio de Janeiro 3:37:48 Kanaan '02 Cleveland 3:39:01 Vasser '00 Motegi 3:40:10 Fittipaldi '02 Montreal 3:41:20 da Matta '00 Michigan 3:41:55 Zanardi '98 Toronto 3:42:57 Papis '00 Milwaukee 3:43:53 Bruno '02 Portland 3:44:48 da Matta '01 Fontana 3:45:42 Zanardi '98 Portland 3:46:42 Andretti '99 Nazareth 3:47:44 Carpentier '02 Mid-Ohio 3:48:55 Andretti '99 Fontana 3:49:42 Vasser '01 Houston 3:50:34 Rahal '98 Fontana 3:51:57 JPM '00 Portland 3:53:15 Andretti '99 Cleveland 3:54:30 Vasser '97 Homestead 3:55:30 Andretti '99 Cleveland 3:56:32 Servia '02 Rockingham 3:56:59 Fernandez '01 Surfers Paradise 3:58:27 Tracy '02 Fontana 3:59:08 JPM '99 Denver 4:00:16 Papis '00 Homestead 4:00:44 Franchitti '02 Laguna Seca 4:02:39 Bruno '01 Milwaukee 4:03:25 Carpentier '02 Vancouver 4:04:34 JPM '99 Milwaukee 4:05:04 Kanaan '02 Cleveland 4:05:55 Jones '99 Gateway 4:06:30 da Matta '02 Laguna Seca 4:07:38 Vasser '99 Motegi 4:08:13 Fontana '00 Long Beach 4:09:49 Bruno '01 Milwaukee 4:10:54 Carpentier '02 Cleveland 4:11:59 Andretti '99 Gateway 4:12:51 Franchitti '02 Road America 4:14:29 Zanardi '98 Toronto 4:15:51 da Matta '02 Fontana 4:16:51 Ribiero '97 Toronto 4:19:16 Nakano '00 Laguna Seca 4:20:12 Gidley '01 Fontana 4:20:42 Kanaan '99 Mid-Ohio 4:21:48 da Matta '01 Fontana 4:22:33 Andretti '02 Monterrey 4:24:22 Pruett '96 Toronto 4:26:40 Vasser '99 Michigan

Hickey

13,306 次观看 • 11 个月前

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI
1:30:01

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

201,343 次观看 • 4 天前

"If NASA and United States can not beat the Chinese back to the moon, then the moon belongs to the Chinese, and we get what we deserve." You don't want to miss this interview. I met Casey Handmer (Casey Handmer) while flying fighter jets in Montana. I Immediately I knew he had a story to tell. Turns out he wants to tile the United States in solar panels, and use that power to generate rocket fuel and clean water for tens of millions of people. Basically to re-invent American industry. In this interview Casey discusses the innovative pursuits of his company Terraform Industries. He reflects on his previous roles at NASA and JPL, where he was frustrated with the inefficiencies and lack of innovation in traditional institutions. Handmer discusses the importance of ambition, self-awareness, curiosity, and practical experience in hiring and developing talent at Terraform. To fully understand the scope of Casey’s ambitions, you should visit his blog where he discusses things like Mars helicopters and desalination to support a new mega city in California. 00:00:00 - 00:00:17 Geopolitical Stakes: US vs. China in Space Race 00:00:17 - 00:01:17 Interview Introduction: Casey's Background and Topics 00:01:17 - 00:03:10 Podcast Setup and Welcome to Terraform Industries 00:03:10 - 00:04:40 Building History and Manufacturing Interest 00:04:40 - 00:07:17 Meeting at Hangar Event and Aircraft Engineering 00:07:17 - 00:20:45 Early Life: Hands-On Building and Career Path 00:20:45 - 00:40:00 Founding Terraform: Synthetic Fuels Vision and Prototypes 00:40:00 - 01:00:00 Technology Deep Dive: Solar to Hydrocarbons and Scaling 01:00:00 - 01:20:00 Energy Geopolitics and US Reindustrialization 01:20:00 - 01:40:00 Team Building, Hiring Philosophy, and Company Culture 01:40:00 - 02:00:00 Hardware vs. Software Challenges and Entrepreneur Advice 02:00:00 - 02:22:24 Future Visions: Desalination and New Cities 02:22:24 - 02:36:39 Closing Call to Action and Thanks
2:36:39

"If NASA and United States can not beat the Chinese back to the moon, then the moon belongs to the Chinese, and we get what we deserve." You don't want to miss this interview. I met Casey Handmer (Casey Handmer) while flying fighter jets in Montana. I Immediately I knew he had a story to tell. Turns out he wants to tile the United States in solar panels, and use that power to generate rocket fuel and clean water for tens of millions of people. Basically to re-invent American industry. In this interview Casey discusses the innovative pursuits of his company Terraform Industries. He reflects on his previous roles at NASA and JPL, where he was frustrated with the inefficiencies and lack of innovation in traditional institutions. Handmer discusses the importance of ambition, self-awareness, curiosity, and practical experience in hiring and developing talent at Terraform. To fully understand the scope of Casey’s ambitions, you should visit his blog where he discusses things like Mars helicopters and desalination to support a new mega city in California. 00:00:00 - 00:00:17 Geopolitical Stakes: US vs. China in Space Race 00:00:17 - 00:01:17 Interview Introduction: Casey's Background and Topics 00:01:17 - 00:03:10 Podcast Setup and Welcome to Terraform Industries 00:03:10 - 00:04:40 Building History and Manufacturing Interest 00:04:40 - 00:07:17 Meeting at Hangar Event and Aircraft Engineering 00:07:17 - 00:20:45 Early Life: Hands-On Building and Career Path 00:20:45 - 00:40:00 Founding Terraform: Synthetic Fuels Vision and Prototypes 00:40:00 - 01:00:00 Technology Deep Dive: Solar to Hydrocarbons and Scaling 01:00:00 - 01:20:00 Energy Geopolitics and US Reindustrialization 01:20:00 - 01:40:00 Team Building, Hiring Philosophy, and Company Culture 01:40:00 - 02:00:00 Hardware vs. Software Challenges and Entrepreneur Advice 02:00:00 - 02:22:24 Future Visions: Desalination and New Cities 02:22:24 - 02:36:39 Closing Call to Action and Thanks

Penny2x

1,598,196 次观看 • 9 个月前

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History
1:04:51

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 次观看 • 1 年前

Dr. Jordan Peterson: How to Best Guide Your Life Decisions & Path Dr Jordan B Peterson This Huberman Lab episode is available in full on X, YouTube and all podcast platforms. (00:00:00) Dr. Jordan Peterson (00:02:32) Sponsors: David & Levels (00:05:19) Brain, Impulses, Integration, Personalities (00:14:08) Personalities, Motivation (00:18:18) Context & Children; Religion, Motivation & Personality (00:24:08) Hypothalamus, Context, Maturation (00:29:46) Psychopathy, Kids & Aggressive Behavior & Socialization (00:33:37) Polytheistic & Monotheistic Religions; Rage, Sociopathy & Addiction (00:41:05) Sponsors: AG1 & ROKA (00:43:58) Belief in God, Addiction (00:50:34) Pornography, Dopamine, Processed Foods (00:56:20) Clean Diet, Satiety; Fundamental Pleasures, Food, Sexuality (01:04:44) Power, Target, Sin (01:06:46) Sponsor: Function (01:08:33) Abraham; Call to Adventure, Success, Respect, Community (01:21:30) Wisdom, Noah; Religion, Incentive Structure & Motivation (01:26:52) Dopamine & Target, Sin; Frontal Eye Fields (01:31:59) Meta-Target & Goals, Sermon on the Mount; Fears (01:40:36) Sponsor: LMNT (01:41:51) Ultimate vs. Local Victory, Pearl of Great Price (01:45:05) Time Scales & Rewards; Entropy, Dopamine & Goals (01:51:20) Pornography, Effortless Gratification; Revelation & Sexuality Demise (02:02:33) Adventure & Responsibility, Sacrifice; Tool: Ordering Room (02:12:02) Storytelling, Science, Career Advancement, Pursuing Truth (02:23:46) Abraham & Adventure; Purposeful Satisfaction, Podcast (02:28:13) Finding Your Calling, Tools: Calling & Conscience; Creating Order (02:35:06) Order vs. Chaos; Public Shootings, Narcissism (02:40:16) Long-Term Goals, Pursuit, Curiosity, Commitment (02:45:43) Finding Purpose, Tool: Fixing Messes; Conscience & Voice of Divine (02:54:26) Prayer, Aim, Revelation; Thought (03:00:34) Religion, Common Themes (03:10:55) Psychoanalytical Traditions; Play (03:19:23) Play; Humor, Discourse, Alternative Media (03:27:18) Democrats, Republicans; Fear & Growth (03:34:59) Tour, Peterson Academy, YouTube, Cancel Culture (03:48:30) Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.
3:51:10

Dr. Jordan Peterson: How to Best Guide Your Life Decisions & Path Dr Jordan B Peterson This Huberman Lab episode is available in full on X, YouTube and all podcast platforms. (00:00:00) Dr. Jordan Peterson (00:02:32) Sponsors: David & Levels (00:05:19) Brain, Impulses, Integration, Personalities (00:14:08) Personalities, Motivation (00:18:18) Context & Children; Religion, Motivation & Personality (00:24:08) Hypothalamus, Context, Maturation (00:29:46) Psychopathy, Kids & Aggressive Behavior & Socialization (00:33:37) Polytheistic & Monotheistic Religions; Rage, Sociopathy & Addiction (00:41:05) Sponsors: AG1 & ROKA (00:43:58) Belief in God, Addiction (00:50:34) Pornography, Dopamine, Processed Foods (00:56:20) Clean Diet, Satiety; Fundamental Pleasures, Food, Sexuality (01:04:44) Power, Target, Sin (01:06:46) Sponsor: Function (01:08:33) Abraham; Call to Adventure, Success, Respect, Community (01:21:30) Wisdom, Noah; Religion, Incentive Structure & Motivation (01:26:52) Dopamine & Target, Sin; Frontal Eye Fields (01:31:59) Meta-Target & Goals, Sermon on the Mount; Fears (01:40:36) Sponsor: LMNT (01:41:51) Ultimate vs. Local Victory, Pearl of Great Price (01:45:05) Time Scales & Rewards; Entropy, Dopamine & Goals (01:51:20) Pornography, Effortless Gratification; Revelation & Sexuality Demise (02:02:33) Adventure & Responsibility, Sacrifice; Tool: Ordering Room (02:12:02) Storytelling, Science, Career Advancement, Pursuing Truth (02:23:46) Abraham & Adventure; Purposeful Satisfaction, Podcast (02:28:13) Finding Your Calling, Tools: Calling & Conscience; Creating Order (02:35:06) Order vs. Chaos; Public Shootings, Narcissism (02:40:16) Long-Term Goals, Pursuit, Curiosity, Commitment (02:45:43) Finding Purpose, Tool: Fixing Messes; Conscience & Voice of Divine (02:54:26) Prayer, Aim, Revelation; Thought (03:00:34) Religion, Common Themes (03:10:55) Psychoanalytical Traditions; Play (03:19:23) Play; Humor, Discourse, Alternative Media (03:27:18) Democrats, Republicans; Fear & Growth (03:34:59) Tour, Peterson Academy, YouTube, Cancel Culture (03:48:30) Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.

Andrew D. Huberman, Ph.D.

668,694 次观看 • 1 年前

Every frontier lab's stated plan for AGI 'crunch-time' is 'use AI to make AI safe.' I spoke with Ajeya Cotra – influential AI forecaster – who has been trying to figure out whether this crazy-sounding plan could actually work, and if so how: • Ajeya’s impressive track record identifying where things are going (00:00:41) • How the hell can smart people disagree 1000-fold about AGI & economic growth (00:02:31) • AI companies might go dark as AGI gets close (00:30:39) • Everyone's default plan: use AI to make AI safe (00:47:21) • White-knuckling it through automated AI R&D (01:12:01) • Donors should switch from buying human researchers to buying inference (01:24:42) • Will frontier AI even be for sale during an intelligence explosion? (01:32:03) • Pre-crunch prep: what we should do right now (01:43:59) • A grantmaking trial by fire at Coefficient Giving (01:47:03) • Sabbatical and reflections on effective altruism (02:07:45) • EA as an incubator for avant-garde causes others won't touch (02:46:55) On the 80,000 Hours Podcast, links below - enjoy!
2:57:34

Every frontier lab's stated plan for AGI 'crunch-time' is 'use AI to make AI safe.' I spoke with Ajeya Cotra – influential AI forecaster – who has been trying to figure out whether this crazy-sounding plan could actually work, and if so how: • Ajeya’s impressive track record identifying where things are going (00:00:41) • How the hell can smart people disagree 1000-fold about AGI & economic growth (00:02:31) • AI companies might go dark as AGI gets close (00:30:39) • Everyone's default plan: use AI to make AI safe (00:47:21) • White-knuckling it through automated AI R&D (01:12:01) • Donors should switch from buying human researchers to buying inference (01:24:42) • Will frontier AI even be for sale during an intelligence explosion? (01:32:03) • Pre-crunch prep: what we should do right now (01:43:59) • A grantmaking trial by fire at Coefficient Giving (01:47:03) • Sabbatical and reflections on effective altruism (02:07:45) • EA as an incubator for avant-garde causes others won't touch (02:46:55) On the 80,000 Hours Podcast, links below - enjoy!

Rob Wiblin

40,746 次观看 • 5 个月前

Yoshua Bengio thinks he knows how to make provably safe superintelligent agents. Bengio built the foundations of modern AI and is the most cited living scientist. He believes his alternative training setup would: 1. Guarantee honesty 2. Prevent unintended goals 3. Produce capable agents 4. Port over most data and techniques from current LLMs 5. Not be inherently more expensive, and perhaps be more intelligent Bengio claims the honesty and lack of unintended goals can be proven mathematically, at least given particular assumptions. And his new organization, LawZero, is aiming to build a scrappy prototype as soon as possible. The architecture is called 'Scientist AI' and it's based on training a model to explain empirical observations, including what people say, rather than training AIs that mimic human behaviour or seek our approval. (Bengio's frank assessment is that "reinforcement learning is evil" and that allowing AIs to independently train their successors is "the most crazy, dangerous bet that unfortunately we are on track to do.") But skeptics question whether Scientist AI really does solve the fundamental problem of 'eliciting latent knowledge' from AI models. And with the commercial race for superintelligence so intense, it's not clear whether the proposal will be able to compete or have time to bear fruit, even if it's sound in theory. On The 80,000 Hours Podcast, links below – enjoy! • Making AI honest and safe (00:00:00) • Scientist AI in plain English (00:02:27) • How Scientist AI differs from LLMs (00:06:32) • How the training data works (00:14:02) • Can this become an agent? (00:21:02) • Why Yoshua is now more optimistic (00:32:11) • Why companies can’t stop racing (00:36:35) • A working prototype won't take long (00:49:15) • Scientist models might be more capable (00:53:34) • “Reinforcement learning is evil” (01:01:27) • Scientist AI from guardrail to agent (01:08:37) • Can safe AI still be competent? (01:12:38) • How much will this cost? (01:19:29) • Can it generalise beyond maths and science? (01:23:26) • A multi-national push for superintelligence (01:39:19) • Want to work with or fund Yoshua? (01:51:16) • Why smart people ignore AI risk (01:54:45) • Don’t let AI build the next AI (02:01:33) • Why politicians miss the real risks (02:12:28) • Why Yoshua changed his mind about AI risk (02:21:27)
2:35:26

Yoshua Bengio thinks he knows how to make provably safe superintelligent agents. Bengio built the foundations of modern AI and is the most cited living scientist. He believes his alternative training setup would: 1. Guarantee honesty 2. Prevent unintended goals 3. Produce capable agents 4. Port over most data and techniques from current LLMs 5. Not be inherently more expensive, and perhaps be more intelligent Bengio claims the honesty and lack of unintended goals can be proven mathematically, at least given particular assumptions. And his new organization, LawZero, is aiming to build a scrappy prototype as soon as possible. The architecture is called 'Scientist AI' and it's based on training a model to explain empirical observations, including what people say, rather than training AIs that mimic human behaviour or seek our approval. (Bengio's frank assessment is that "reinforcement learning is evil" and that allowing AIs to independently train their successors is "the most crazy, dangerous bet that unfortunately we are on track to do.") But skeptics question whether Scientist AI really does solve the fundamental problem of 'eliciting latent knowledge' from AI models. And with the commercial race for superintelligence so intense, it's not clear whether the proposal will be able to compete or have time to bear fruit, even if it's sound in theory. On The 80,000 Hours Podcast, links below – enjoy! • Making AI honest and safe (00:00:00) • Scientist AI in plain English (00:02:27) • How Scientist AI differs from LLMs (00:06:32) • How the training data works (00:14:02) • Can this become an agent? (00:21:02) • Why Yoshua is now more optimistic (00:32:11) • Why companies can’t stop racing (00:36:35) • A working prototype won't take long (00:49:15) • Scientist models might be more capable (00:53:34) • “Reinforcement learning is evil” (01:01:27) • Scientist AI from guardrail to agent (01:08:37) • Can safe AI still be competent? (01:12:38) • How much will this cost? (01:19:29) • Can it generalise beyond maths and science? (01:23:26) • A multi-national push for superintelligence (01:39:19) • Want to work with or fund Yoshua? (01:51:16) • Why smart people ignore AI risk (01:54:45) • Don’t let AI build the next AI (02:01:33) • Why politicians miss the real risks (02:12:28) • Why Yoshua changed his mind about AI risk (02:21:27)

Rob Wiblin

65,088 次观看 • 3 个月前

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:
1:20:03

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Ryan Peterman

119,601 次观看 • 5 个月前

This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks
1:15:17

This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks

The Knowledge Project

453,197 次观看 • 1 年前

.Eric Jang is spearheading AI at 1X. Eric believes 1X is on the path to becoming an AGI company — not just a robotics company. I sat down with him at 1X’s new Palo Alto office to discuss the key AI building blocks needed to bring humanoid robots into homes at scale. 00:00 Eric Jang joins Humanoid Hub 00:27 Move to Palo Alto 01:02 Why 1X targets the home 02:01 The AGI company 02:49 Redwood AI overview 04:01 Unified control, modular stack 06:07 Data labeling at scale 07:10 RL mobility update for NEO 10:03 GPU and onboard compute 11:09 World model explained 13:34 Trusting world models for evaluation 15:05 Synthetic data generation 16:30 A world model Turing Test 17:41 RL in manipulation 20:08 Lessons from early NEO deployments 21:00 Full autonomy 22:18 1X’s unique edge in AI 24:02 Eric asks Devang a question
26:53

.Eric Jang is spearheading AI at 1X. Eric believes 1X is on the path to becoming an AGI company — not just a robotics company. I sat down with him at 1X’s new Palo Alto office to discuss the key AI building blocks needed to bring humanoid robots into homes at scale. 00:00 Eric Jang joins Humanoid Hub 00:27 Move to Palo Alto 01:02 Why 1X targets the home 02:01 The AGI company 02:49 Redwood AI overview 04:01 Unified control, modular stack 06:07 Data labeling at scale 07:10 RL mobility update for NEO 10:03 GPU and onboard compute 11:09 World model explained 13:34 Trusting world models for evaluation 15:05 Synthetic data generation 16:30 A world model Turing Test 17:41 RL in manipulation 20:08 Lessons from early NEO deployments 21:00 Full autonomy 22:18 1X’s unique edge in AI 24:02 Eric asks Devang a question

The Humanoid Hub

96,465 次观看 • 1 年前

Alight. Full episode with Palmer Luckey here on X. He makes peace with Zuck. He sings. Seriously. He does. He knocks Trump on Jordan. Reveals much about Anduril Industries. Subscribe to the Core Memory pod for more like this Timestamps 00:00 - Air raid siren hobbyist origins 06:07 - Intro 08:13 - Mod Retro Chromatic 13:25 - Meta partnership 15:45 - Facebook firing backstory 26:15 - Zuck public apology 35:13 - Eagle Eye military helmet unveiling 42:14 - Superman vision 50:15 - Manufacturing entirely in America 58:14 - Exotic ballistic helmet materials 01:07:14 - Arsenal One factory ambitions 01:08:22 - Tariffs and manufacturing economics 01:19:14 - America versus China futures 01:33:00 - Not a fan of Trump's stance on Jordan 01:40:19 - Never running for politics 01:45:16 - Trump getting elected in 2016 01:48:12 - Radical child rearing philosophy 01:54:03 - Early marriage advocacy 01:57:48 - Superintelligence winner predictions 02:01:00 - Open source AI freedom
2:03:59

Alight. Full episode with Palmer Luckey here on X. He makes peace with Zuck. He sings. Seriously. He does. He knocks Trump on Jordan. Reveals much about Anduril Industries. Subscribe to the Core Memory pod for more like this Timestamps 00:00 - Air raid siren hobbyist origins 06:07 - Intro 08:13 - Mod Retro Chromatic 13:25 - Meta partnership 15:45 - Facebook firing backstory 26:15 - Zuck public apology 35:13 - Eagle Eye military helmet unveiling 42:14 - Superman vision 50:15 - Manufacturing entirely in America 58:14 - Exotic ballistic helmet materials 01:07:14 - Arsenal One factory ambitions 01:08:22 - Tariffs and manufacturing economics 01:19:14 - America versus China futures 01:33:00 - Not a fan of Trump's stance on Jordan 01:40:19 - Never running for politics 01:45:16 - Trump getting elected in 2016 01:48:12 - Radical child rearing philosophy 01:54:03 - Early marriage advocacy 01:57:48 - Superintelligence winner predictions 02:01:00 - Open source AI freedom

Ashlee Vance

212,856 次观看 • 1 年前

Updated: Vocals & Rap - #성화 #Seonghwa 00:00 Still Here 00:15 Wonderland 00:36 Halazia 00:47 Answer 01:21 Cyberpunk 01:27 Wave 01:37 Utopia 01:50 My Way 02:00 With U 02:16 Be With You 02:54 Star 1117 03:21 Turbulence (야간비행) 03:39 Days 04:26 Promise 04:38 Fever 04:54 Sunrise 05:19 Mist 05:43 Take Me Home 06:11 Better 06:34 All About You 06:43 Aurora 06:55 Blue Summer 07:23 Diamond 07:46 Time Of Love 07:58 Stay 08:07 Desire 08:21 WDIG 08:28 New World 08:35 Dreamers 08:53 Not Too Late 09:03 The Letter 09:19 One Day At A Time 09:28 Dazzling Light 09:40 Light 09:50 The Ring 10:04 Paradigm 10:18 This World 10:38 Bouncy 10:51 Not Okay 11:15 The King 11:23 Inception 11:52 Fireworks 12:03 Limitless 12:19 Precious 12:28 Rocky 12:41 Let’s Get Together 13:07 White Love 13:17 The Leaders 13:27 Crazy Form 13:43 Arriba 13:57 Silver Light 14:06 Dreamy Day 14:26 Matz 15:15 Outlaw 15:23 Twilight 15:31 Dune 15:38 Hala Hala 15:43 Deja Vu 15:50 Horizon 15:54 Say My Name 15:57 Sector 1 16:02 Good Lil Boy 16:09 Don’t Stop 16:12 Still Here (Acoustic Ver) 16:19 Siren 16:31 Guerrilla 16:45 We Know 17:00 Empty Box 17:28 Wake Up 17:40 Dancing Like Butterfly Wings 17:49 Work 18:09 Thanxx 18:26 If Without U 18:45 Shaboom 19:01 Outlaw 19:18 Treasure 19:33 Eternal Sunshine 20:03 Django 20:31 Turbulence Japanese Ver. 20:55 Blind 21:16 Pirate King 21:24 Forevermore 22:00 Birthday 22:11 Deep Dive 22:26 Ice On My Teeth 22:50 Man On Fire 23:10 Selfish Waltz 23:25 Enough
23:39

Updated: Vocals & Rap - #성화 #Seonghwa 00:00 Still Here 00:15 Wonderland 00:36 Halazia 00:47 Answer 01:21 Cyberpunk 01:27 Wave 01:37 Utopia 01:50 My Way 02:00 With U 02:16 Be With You 02:54 Star 1117 03:21 Turbulence (야간비행) 03:39 Days 04:26 Promise 04:38 Fever 04:54 Sunrise 05:19 Mist 05:43 Take Me Home 06:11 Better 06:34 All About You 06:43 Aurora 06:55 Blue Summer 07:23 Diamond 07:46 Time Of Love 07:58 Stay 08:07 Desire 08:21 WDIG 08:28 New World 08:35 Dreamers 08:53 Not Too Late 09:03 The Letter 09:19 One Day At A Time 09:28 Dazzling Light 09:40 Light 09:50 The Ring 10:04 Paradigm 10:18 This World 10:38 Bouncy 10:51 Not Okay 11:15 The King 11:23 Inception 11:52 Fireworks 12:03 Limitless 12:19 Precious 12:28 Rocky 12:41 Let’s Get Together 13:07 White Love 13:17 The Leaders 13:27 Crazy Form 13:43 Arriba 13:57 Silver Light 14:06 Dreamy Day 14:26 Matz 15:15 Outlaw 15:23 Twilight 15:31 Dune 15:38 Hala Hala 15:43 Deja Vu 15:50 Horizon 15:54 Say My Name 15:57 Sector 1 16:02 Good Lil Boy 16:09 Don’t Stop 16:12 Still Here (Acoustic Ver) 16:19 Siren 16:31 Guerrilla 16:45 We Know 17:00 Empty Box 17:28 Wake Up 17:40 Dancing Like Butterfly Wings 17:49 Work 18:09 Thanxx 18:26 If Without U 18:45 Shaboom 19:01 Outlaw 19:18 Treasure 19:33 Eternal Sunshine 20:03 Django 20:31 Turbulence Japanese Ver. 20:55 Blind 21:16 Pirate King 21:24 Forevermore 22:00 Birthday 22:11 Deep Dive 22:26 Ice On My Teeth 22:50 Man On Fire 23:10 Selfish Waltz 23:25 Enough

Hwanakin

62,764 次观看 • 1 年前

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics
1:28:39

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

Ashlee Vance

38,839 次观看 • 7 个月前

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models
1:38:17

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models

Ashlee Vance

80,718 次观看 • 8 个月前