Loading video...

Video Failed to Load

Go Home

most problems are people problems, which are really emotional regulation problems in this episode Chris Barber teaches us a concrete skill for processing emotions with words links bellow 00:00 Intro to Chris 00:52 What even is Emotional Regulation? 03:25 Why a successful founder focused his life on this 06:45...

dkazand's profile picture

Daniel K (in SF)

4,616 subscribers

43,128 views • 1 year ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

4 Comments

Daniel's profile picture
Daniel1 year ago

Spotify: Apple: YouTube: Email:

Sohom Mukherjee's profile picture
Sohom Mukherjee1 year ago

@chrisbarber loved this line. regulation skills really are underrated

Chris Barber's profile picture
Chris Barber1 year ago

i'm collecting resources on resonance in the replies here btw:

will minshew's profile picture
will minshew21 days ago

@chrisbarber @chrisbarber is paraphrasing really less effective?

Related Videos

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts
29:41

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts

ryandcrypto

43,328 views • 5 months ago

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇
58:52

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

Ruslan Khairullin

18,179 views • 4 months ago

261003 a-nation NCT JNJM Full #제노 #재민 00:00 오프닝 vcr 00:47 BOTH SIDES 03:43 멘트1 06:09 WIND UP 09:00 What It Is 11:52 멘트2 17:45 HASHTAG 20:33 I.D.O.L
23:38

261003 a-nation NCT JNJM Full #제노 #재민 00:00 오프닝 vcr 00:47 BOTH SIDES 03:43 멘트1 06:09 WIND UP 09:00 What It Is 11:52 멘트2 17:45 HASHTAG 20:33 I.D.O.L

디어

98,501 views • 28 days ago

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?
2:10:59

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?

Epoch AI

178,703 views • 9 months ago

Fogo Blockchain Exposed: Why everybody has it wrong 00:00 Intro 00:53 How Robert Met Clemente 04:00 Leaving Banking Behind for Bitcoin 12:05 Fogo and the trading problems it solves 19:44 Why does on-chain trading need to exist? 25:53 What Makes Fogo a Different Kind of L1 31:32 How Colocation Actually Protects Retail Traders 37:08 How do you jump-start a brand new market? 40:08 Why Tokens Are Becoming Better Than Equity 46:00 How Web3 Finally Empowers Creators 53:10 Why Traditional Media Is Losing Everything 57:43 How does BoDoggos team create content
1:16:04

Fogo Blockchain Exposed: Why everybody has it wrong 00:00 Intro 00:53 How Robert Met Clemente 04:00 Leaving Banking Behind for Bitcoin 12:05 Fogo and the trading problems it solves 19:44 Why does on-chain trading need to exist? 25:53 What Makes Fogo a Different Kind of L1 31:32 How Colocation Actually Protects Retail Traders 37:08 How do you jump-start a brand new market? 40:08 Why Tokens Are Becoming Better Than Equity 46:00 How Web3 Finally Empowers Creators 53:10 Why Traditional Media Is Losing Everything 57:43 How does BoDoggos team create content

Nick O’Neill

70,737 views • 9 months ago

We just launched Base MCP 🪐 Walking you through it in this demo: 00:00 intro 02:40 setup the mcp 03:25 installing the skill 04:46 Ibuka,Ryotaro demo 07:05 Virtuals Protocol demo 09:50 @uniswap demo Quickstart below 👇
13:18

We just launched Base MCP 🪐 Walking you through it in this demo: 00:00 intro 02:40 setup the mcp 03:25 installing the skill 04:46 Ibuka,Ryotaro demo 07:05 Virtuals Protocol demo 09:50 @uniswap demo Quickstart below 👇

Youssef

50,823 views • 5 months ago

New session with Shreya Shankar on How to Automate Evals with AI (correctly) The most important part of the eval workflow is finding issues. Shreya does a live demo of how to steer the AI iteratively to find unknown unknowns Chapter summaries: 00:00:00 Introduction 00:00:55 Why vendors want to automate evals for you 00:01:45 Why no tool can fully automate evals 00:06:00 Mistake #1: Asking AI to just "find the issues" in your data 00:08:11 What good AI-assisted error analysis actually looks like 00:11:12 Live demo: building a review interface from scratch 00:15:10 Annotating traces and building a failure mode taxonomy 00:19:31 Mistake #2: Only reviewing your data once 00:22:53 Mistake #3: Treating all apps with the same accuracy bar 00:25:10 General-purpose agents vs. dedicated eval tools 00:25:48 Summary: three rules for automating evals correctly YT links and more in reply
27:18

New session with Shreya Shankar on How to Automate Evals with AI (correctly) The most important part of the eval workflow is finding issues. Shreya does a live demo of how to steer the AI iteratively to find unknown unknowns Chapter summaries: 00:00:00 Introduction 00:00:55 Why vendors want to automate evals for you 00:01:45 Why no tool can fully automate evals 00:06:00 Mistake #1: Asking AI to just "find the issues" in your data 00:08:11 What good AI-assisted error analysis actually looks like 00:11:12 Live demo: building a review interface from scratch 00:15:10 Annotating traces and building a failure mode taxonomy 00:19:31 Mistake #2: Only reviewing your data once 00:22:53 Mistake #3: Treating all apps with the same accuracy bar 00:25:10 General-purpose agents vs. dedicated eval tools 00:25:48 Summary: three rules for automating evals correctly YT links and more in reply

Hamel Husain

34,707 views • 3 months ago

Why Most Service Departments Leak Calls – And What Actually Stops It | Pre-NADA AI #5 Stream the full episode now, hosted by Sam D'Arc: 02:27 What are Kissee Ford's operational challenges? 08:45 How can AI solve service call problems? 14:46 What is "The Flai Solution"? 20:45 What were the early AI successes? 21:53 How were vendor issues solved? 23:57 How did "Amanda" impact operations? 26:00 How was AI integrated at the dealership? 32:03 What are future AI plans?
41:21

Why Most Service Departments Leak Calls – And What Actually Stops It | Pre-NADA AI #5 Stream the full episode now, hosted by Sam D'Arc: 02:27 What are Kissee Ford's operational challenges? 08:45 How can AI solve service call problems? 14:46 What is "The Flai Solution"? 20:45 What were the early AI successes? 21:53 How were vendor issues solved? 23:57 How did "Amanda" impact operations? 26:00 How was AI integrated at the dealership? 32:03 What are future AI plans?

Car Dealership Guy

11,598 views • 9 months ago

This Is What Resonance Looks Like
0:24

This Is What Resonance Looks Like

aranda winda

175,876 views • 8 months ago

골라서 보는 #황윤성 춤 틱톡 & 챌린지 🐻 00:00 Don't go (창작안무) 00:44 Party For The Night (창작안무) 01:21 Squid Game (창작안무) 01:58 Stop is like this 02:03 Hot Sauce 02:17 Ra Pam Pam 02:41 소리꾼 03:06 회전목마 03:31 Glitch 03:51 CHIQUITA 04:05 ZOOM 04:35 HOT 04:46 가나다라 05:04 Replay 05:23 괴짜 05:55 새삥 06:31 Rush Hour 06:54 LAW 07:36 Sweaty 08:07 BLUE CHECK 08:25 VIBE 08:57 파이팅 해야지 09:18 Teddy Bear 09:45 ROAR 09:57 Candy 10:13 손오공 10:34 HARD 10:52 アイドル (IDOL) 11:06 SEVEN 11:33 SIREN 12:06 Smoke 12:38 Baggy Jeans 13:12 첫 눈 13:25 Like I do 13:38 Do it like this 13:52 Next to Me 14:14 ROCKSTAR 14:41 여우가 시집가는 날 15:01 Love or Die (Demo ver.)
16:10

골라서 보는 #황윤성 춤 틱톡 & 챌린지 🐻 00:00 Don't go (창작안무) 00:44 Party For The Night (창작안무) 01:21 Squid Game (창작안무) 01:58 Stop is like this 02:03 Hot Sauce 02:17 Ra Pam Pam 02:41 소리꾼 03:06 회전목마 03:31 Glitch 03:51 CHIQUITA 04:05 ZOOM 04:35 HOT 04:46 가나다라 05:04 Replay 05:23 괴짜 05:55 새삥 06:31 Rush Hour 06:54 LAW 07:36 Sweaty 08:07 BLUE CHECK 08:25 VIBE 08:57 파이팅 해야지 09:18 Teddy Bear 09:45 ROAR 09:57 Candy 10:13 손오공 10:34 HARD 10:52 アイドル (IDOL) 11:06 SEVEN 11:33 SIREN 12:06 Smoke 12:38 Baggy Jeans 13:12 첫 눈 13:25 Like I do 13:38 Do it like this 13:52 Next to Me 14:14 ROCKSTAR 14:41 여우가 시집가는 날 15:01 Love or Die (Demo ver.)

취향의 황윤성

22,216 views • 2 years ago

Could AI deserve rights before it even feels like anything to be an AI? Oxford moral philosopher Andreas Mogensen thinks... maybe. In her first interview for the 80,000 Hours Podcast my colleague Zershaaneh Qureshi pushes Andreas on that, as well as new arguments for why human extinction could be a good thing: The puzzle of moral patienthood (00:03:20) Is subjective experience necessary? (00:05:52) What is it to desire? (00:10:42) Desiring without experiencing (00:17:56) What would make AIs moral patients? (00:28:17) Another route entirely: deserving autonomy (00:45:12) Maybe there's no objective truth about any of this (01:12:06) Practical implications (01:29:21) Why not just let superintelligence figure this out for us? (01:38:07) How could human extinction be a good thing? (01:47:30) Lexical threshold negative utilitarianism (02:12:30) So... should we still try to prevent extinction? (02:25:22) What are the most important questions for people to address here? (02:32:16) Is God GDPR compliant? (02:35:32) Links below, enjoy!
2:37:14

Could AI deserve rights before it even feels like anything to be an AI? Oxford moral philosopher Andreas Mogensen thinks... maybe. In her first interview for the 80,000 Hours Podcast my colleague Zershaaneh Qureshi pushes Andreas on that, as well as new arguments for why human extinction could be a good thing: The puzzle of moral patienthood (00:03:20) Is subjective experience necessary? (00:05:52) What is it to desire? (00:10:42) Desiring without experiencing (00:17:56) What would make AIs moral patients? (00:28:17) Another route entirely: deserving autonomy (00:45:12) Maybe there's no objective truth about any of this (01:12:06) Practical implications (01:29:21) Why not just let superintelligence figure this out for us? (01:38:07) How could human extinction be a good thing? (01:47:30) Lexical threshold negative utilitarianism (02:12:30) So... should we still try to prevent extinction? (02:25:22) What are the most important questions for people to address here? (02:32:16) Is God GDPR compliant? (02:35:32) Links below, enjoy!

Rob Wiblin

10,720 views • 10 months ago

We Took More Than 40 Rides In A Tesla Robotaxi | Our Initial Thoughts - Episode #22 of The Gigacast ---------------------------------------------------------- 0:00 Introduction to Robotaxi 1:05 Omar's first thoughts about the Tesla Robotaxi launch in Austin 2:45 Sawyer's first thoughts 10:00 The Safety Driver 13:30 Entertainment in the Robotaxi 14:45 The Rideshares App and Differences Between Robotaxi and Standard Model Fleet 19:10 How many Tesla Robotaxis are there today 21:12 Problems with the launch so far 26:00 A moment of optimism for Autonomous Vehicles 29:20 Tesla vs Waymo | The race is here NOW 33:10 How many players will there be in this space Challenges that did with the launch | What Is Uber's Future 45:00 Are we all going to become fat and lazy 46:50 Tesla FSD in New York City 48:15 What is next for Tesla, Robotaxi, Elon Musk, and legacy automakers 1:05:05 Final comments ----------------------------------------------------------
1:09:54

We Took More Than 40 Rides In A Tesla Robotaxi | Our Initial Thoughts - Episode #22 of The Gigacast ---------------------------------------------------------- 0:00 Introduction to Robotaxi 1:05 Omar's first thoughts about the Tesla Robotaxi launch in Austin 2:45 Sawyer's first thoughts 10:00 The Safety Driver 13:30 Entertainment in the Robotaxi 14:45 The Rideshares App and Differences Between Robotaxi and Standard Model Fleet 19:10 How many Tesla Robotaxis are there today 21:12 Problems with the launch so far 26:00 A moment of optimism for Autonomous Vehicles 29:20 Tesla vs Waymo | The race is here NOW 33:10 How many players will there be in this space Challenges that did with the launch | What Is Uber's Future 45:00 Are we all going to become fat and lazy 46:50 Tesla FSD in New York City 48:15 What is next for Tesla, Robotaxi, Elon Musk, and legacy automakers 1:05:05 Final comments ----------------------------------------------------------

Rallies

73,522 views • 1 year ago

There is exactly one Joel Salitan on Earth, and we have him on DarkHorse. You don’t want to miss this. 00:00:00 One of the Wisest People 00:01:15 Trump Spent His Political Equity 00:03:37 Sponsor: Sundays for Dogs 00:05:26 Sponsor: VanMan 00:07:19 Who Benefits? Bayer, JBS, & Trump 00:11:37 There Are No Global Problems 00:15:24 The Farm You Can Feel 00:19:30 Sponsor: Redmond Relyte 00:24:03 Biological or Mechanical? 00:28:13 Where Hubris Should Be Humility 00:31:32 Dominion Is a Destructive Idea 00:37:55 Petroleum Was Our Chance to Repair 00:39:35 N. America Grew More Food in 1500 00:43:35 All True Stories Must Reconcile 00:48:35 Ice Age or Crispy Critters? 00:55:08 Bret’s Stadium of What He’s Burned 00:57:31 Learn a Skill 01:01:54 Not Wrong to Feel Betrayed 01:03:46 Everything I Want to Do Is Illegal 01:10:23 Who Should Inspect Your Carrot? 01:18:28 All Regulations Are Scale Prejudicial 01:21:04 Food Emancipation
1:23:25

There is exactly one Joel Salitan on Earth, and we have him on DarkHorse. You don’t want to miss this. 00:00:00 One of the Wisest People 00:01:15 Trump Spent His Political Equity 00:03:37 Sponsor: Sundays for Dogs 00:05:26 Sponsor: VanMan 00:07:19 Who Benefits? Bayer, JBS, & Trump 00:11:37 There Are No Global Problems 00:15:24 The Farm You Can Feel 00:19:30 Sponsor: Redmond Relyte 00:24:03 Biological or Mechanical? 00:28:13 Where Hubris Should Be Humility 00:31:32 Dominion Is a Destructive Idea 00:37:55 Petroleum Was Our Chance to Repair 00:39:35 N. America Grew More Food in 1500 00:43:35 All True Stories Must Reconcile 00:48:35 Ice Age or Crispy Critters? 00:55:08 Bret’s Stadium of What He’s Burned 00:57:31 Learn a Skill 01:01:54 Not Wrong to Feel Betrayed 01:03:46 Everything I Want to Do Is Illegal 01:10:23 Who Should Inspect Your Carrot? 01:18:28 All Regulations Are Scale Prejudicial 01:21:04 Food Emancipation

Bret Weinstein

69,254 views • 1 month ago

We Infiltrated Private Anti-ICE Groups. This Is What We Found. TIMESTAMPS: 00:00 - 00:30 Opening 00:55 - 26:43 We Infiltrated Private Anti-ICE Groups. This Is What We Found 27:33 - 30:32 Scott Adams Has Passed Away 31:53 - 39:58 More And More Women In The US Are Becoming Single Mothers 39:59 - 50:45 China's Population Is FAR Less Than The Country Says It Is 50:46 - 01:06:06 Black People Are Fed Up With The Jasmine Crockett "Slander"
1:08:10

We Infiltrated Private Anti-ICE Groups. This Is What We Found. TIMESTAMPS: 00:00 - 00:30 Opening 00:55 - 26:43 We Infiltrated Private Anti-ICE Groups. This Is What We Found 27:33 - 30:32 Scott Adams Has Passed Away 31:53 - 39:58 More And More Women In The US Are Becoming Single Mothers 39:59 - 50:45 China's Population Is FAR Less Than The Country Says It Is 50:46 - 01:06:06 Black People Are Fed Up With The Jasmine Crockett "Slander"

The Matt Walsh Show

16,891 views • 9 months ago

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:
1:11:41

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,952 views • 6 months ago