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"The only way we actually solve problems is by experiencing them and mitigating them." Julie Fredrickson (Julie Fredrickson) is the Managing Partner of Chaotic Capital and advocated for Montana's Right to Compute Act, the first state law of its kind. The conversation covers what the encryption wars and nuclear...

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Infinite Loops 🎙

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16,394 views • 8 days ago •via X (Twitter)

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Shoshana Weissmann, Sloth Committee Chair 🦥7 days ago

@AlmostMedia queen!!

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Infinite Loops 🎙8 days ago

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Bankless

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E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?
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E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?

MR SHIFT 🦁

284,362 views • 1 year ago

Here's my conversation with Roman Yampolskiy (Dr. Roman Yampolskiy), AI safety researcher who believes that the chance of AGI eventually destroying human civilization is 99.9999%. I will continue to chat with many AI researchers & engineers, most of whom put p(doom) at <20%, but it's important to balance those technical conversations by understanding the long-term existential risks of AI. This was a terrifying and fascinating discussion. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:20 - Existential risk of AGI 8:32 - Ikigai risk 16:44 - Suffering risk 20:19 - Timeline to AGI 24:51 - AGI turing test 30:14 - Yann LeCun and open source AI 43:06 - AI control 45:33 - Social engineering 48:06 - Fearmongering 57:57 - AI deception 1:04:30 - Verification 1:11:29 - Self-improving AI 1:23:42 - Pausing AI development 1:29:59 - AI Safety 1:39:43 - Current AI 1:45:05 - Simulation 1:52:24 - Aliens 1:53:57 - Human mind 2:00:17 - Neuralink 2:09:23 - Hope for the future 2:13:18 - Meaning of life
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Here's my conversation with Roman Yampolskiy (Dr. Roman Yampolskiy), AI safety researcher who believes that the chance of AGI eventually destroying human civilization is 99.9999%. I will continue to chat with many AI researchers & engineers, most of whom put p(doom) at <20%, but it's important to balance those technical conversations by understanding the long-term existential risks of AI. This was a terrifying and fascinating discussion. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:20 - Existential risk of AGI 8:32 - Ikigai risk 16:44 - Suffering risk 20:19 - Timeline to AGI 24:51 - AGI turing test 30:14 - Yann LeCun and open source AI 43:06 - AI control 45:33 - Social engineering 48:06 - Fearmongering 57:57 - AI deception 1:04:30 - Verification 1:11:29 - Self-improving AI 1:23:42 - Pausing AI development 1:29:59 - AI Safety 1:39:43 - Current AI 1:45:05 - Simulation 1:52:24 - Aliens 1:53:57 - Human mind 2:00:17 - Neuralink 2:09:23 - Hope for the future 2:13:18 - Meaning of life

Lex Fridman

30,194,178 views • 2 years ago

while AI is eating the world it turns out that a lot of people don’t actually like that idea and current messaging around AI is on track to make things worse. fan favourite Sina joins me once again and fellow aussie anton 🇺🇸 gets serious with it. 03:34 - AI vibes outside of SF 08:48 - productivity gains for the tech lay person 11:30 - influencers using AI and AI writing 14:55 - AI messaging 21:34 - what I think the narrative should be 26:09 - comparing AI lab vibes 32:28 - anton 🇺🇸 intro and SF in 2026 39:10 - messaging around “generative AI” 45:55 - AI regulation 48:37 - the cause of AI regulations and datacenters 54:52 - what is the solution to the messaging problem? 59:30 - trade school and electricians for datacenters 1:04:50 - the curve AI conference and how people are taking this seriously 1:09:14 - Greg Brockman reaction 1:12:34 - reaction to one of my own posts (go figure) 1:14:31 - sophie reaction
1:17:22

while AI is eating the world it turns out that a lot of people don’t actually like that idea and current messaging around AI is on track to make things worse. fan favourite Sina joins me once again and fellow aussie anton 🇺🇸 gets serious with it. 03:34 - AI vibes outside of SF 08:48 - productivity gains for the tech lay person 11:30 - influencers using AI and AI writing 14:55 - AI messaging 21:34 - what I think the narrative should be 26:09 - comparing AI lab vibes 32:28 - anton 🇺🇸 intro and SF in 2026 39:10 - messaging around “generative AI” 45:55 - AI regulation 48:37 - the cause of AI regulations and datacenters 54:52 - what is the solution to the messaging problem? 59:30 - trade school and electricians for datacenters 1:04:50 - the curve AI conference and how people are taking this seriously 1:09:14 - Greg Brockman reaction 1:12:34 - reaction to one of my own posts (go figure) 1:14:31 - sophie reaction

atlas

49,532 views • 8 months ago

NEW POD | EP 71 Where Does Crypto Go From Here? ft. qw & Imran Timestamps: 0:46 $LIBRA 6:23 4 Use Cases of Crypto 8:17 The End Goal for Payments 9:54 DePIN and Energy 12:12 Simplicity of Crypto 13:18 Crypto is Finance 14:43 “Web 3.0” is a Lie? 15:43 The Biggest Risk for Ethereum 16:16 Qiao on DeFi 18:19 Crypto AI Builders Pivoting Straight to AI 19:47 AI in Education 27:25 AI for Ad Creation 29:32 AI for Building dApps 31:51 Personalized Apps 32:49 "The Future is Personalization" 34:07 "Lazy People Will Get F**ked by AI" 35:08 AI in Gaming and Video Generation 36:54 NFTs Comeback with AI? 42:21 Verticalized Science AI 48:52 Startups Solving Capital Markets Problem 54:59 Criticizing Trump's Token Launch 59:19 "Crypto Twitter is imploding" 1:00:51 Reminiscing Good Times in Crypto 1:02:27 Promising Crypto Startups 1:04:15 AI Arms Race 1:06:26 Impact of AI on Startups 1:12:11 AI in B2B 1:15:52 Are Memecoins Dead? 1:16:11 Market Analysis 1:18:48 End of the Cycle or 1 More Pump? 1:20:13 Reflection on Early Crypto Ideals 1:21:05 Cypherpunk Ideologies Link ↓
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NEW POD | EP 71 Where Does Crypto Go From Here? ft. qw & Imran Timestamps: 0:46 $LIBRA 6:23 4 Use Cases of Crypto 8:17 The End Goal for Payments 9:54 DePIN and Energy 12:12 Simplicity of Crypto 13:18 Crypto is Finance 14:43 “Web 3.0” is a Lie? 15:43 The Biggest Risk for Ethereum 16:16 Qiao on DeFi 18:19 Crypto AI Builders Pivoting Straight to AI 19:47 AI in Education 27:25 AI for Ad Creation 29:32 AI for Building dApps 31:51 Personalized Apps 32:49 "The Future is Personalization" 34:07 "Lazy People Will Get F**ked by AI" 35:08 AI in Gaming and Video Generation 36:54 NFTs Comeback with AI? 42:21 Verticalized Science AI 48:52 Startups Solving Capital Markets Problem 54:59 Criticizing Trump's Token Launch 59:19 "Crypto Twitter is imploding" 1:00:51 Reminiscing Good Times in Crypto 1:02:27 Promising Crypto Startups 1:04:15 AI Arms Race 1:06:26 Impact of AI on Startups 1:12:11 AI in B2B 1:15:52 Are Memecoins Dead? 1:16:11 Market Analysis 1:18:48 End of the Cycle or 1 More Pump? 1:20:13 Reflection on Early Crypto Ideals 1:21:05 Cypherpunk Ideologies Link ↓

Good Game

29,494 views • 1 year ago

I spoke with Dr. Roman Yampolskiy, the top AI safety expert in the world. He literally coined the term “AI safety” about 15 years ago. Roman explained if AGI is here, what the real threat of AI is to humanity, how many jobs could be lost, why he is bullish on bitcoin, how physical AI & robotics will likely play out, and whether the frontier model labs actually care about AI safety. This was a profound conversation with someone everyone should get to know. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:50 - Have we already hit AGI? 2:51 - Why we can't control superintelligence 5:14 - Could a global ban on superintelligence actually work? 8:45 - Are AI labs really taking safety seriously? 15:52 - Mass job loss & the economics of AGI 22:03 - The surprising link between AI & bitcoin 29:07 - A world of AI abundance, & why scarcity wins 31:45 - AI watermarks, & the death of trust 35:33 - Pros & Cons of physical AI world 38:40 - What would it take to trust humanoid robot? 39:50 - Brain computer interfaces: a good idea? 42:25 - Rise & risks of deapfakes 49:40 - Controlling AI: Governments vs private companies 54:07 - Open source vs closed, & the US vs China AI race 57:34- Is bitcoin the one crypto project built to last? 1:01:40 - Limitations of physical AI: bottlenecks & shortages 1:03:50 - Impact of healthcare with AI 1:06:09 - What would it take to actually declare AGI? 1:09:35 - How the public can help with AI safety
1:10:37

I spoke with Dr. Roman Yampolskiy, the top AI safety expert in the world. He literally coined the term “AI safety” about 15 years ago. Roman explained if AGI is here, what the real threat of AI is to humanity, how many jobs could be lost, why he is bullish on bitcoin, how physical AI & robotics will likely play out, and whether the frontier model labs actually care about AI safety. This was a profound conversation with someone everyone should get to know. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:50 - Have we already hit AGI? 2:51 - Why we can't control superintelligence 5:14 - Could a global ban on superintelligence actually work? 8:45 - Are AI labs really taking safety seriously? 15:52 - Mass job loss & the economics of AGI 22:03 - The surprising link between AI & bitcoin 29:07 - A world of AI abundance, & why scarcity wins 31:45 - AI watermarks, & the death of trust 35:33 - Pros & Cons of physical AI world 38:40 - What would it take to trust humanoid robot? 39:50 - Brain computer interfaces: a good idea? 42:25 - Rise & risks of deapfakes 49:40 - Controlling AI: Governments vs private companies 54:07 - Open source vs closed, & the US vs China AI race 57:34- Is bitcoin the one crypto project built to last? 1:01:40 - Limitations of physical AI: bottlenecks & shortages 1:03:50 - Impact of healthcare with AI 1:06:09 - What would it take to actually declare AGI? 1:09:35 - How the public can help with AI safety

Anthony Pompliano 🌪

110,601 views • 1 month ago

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team
1:13:20

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team

Grant

179,524 views • 3 months ago

E97: Gavin Wood : Why Ethereum is Going Nowhere since 8 years (and my solution to it) Dr. Gavin Wood is the CoFounder of Ethereum, the Creator of the EVM and of the solidity language, and the Inventor and Founder of Polkadot & Parity Technologies Timestamps 0:00 Introduction 2:44 Culture in Japan VS UK 6:00 Humour 7:40 Who is Gavin? 9:17 Mission 10:28 Characteristics of Successful Founders 13:53 Developing Big Ideas 16:08 Creative Success Mechanism 20:03 Suffering 24:56 From Theory to Transactions 32:28 Building a Support Network 34:36 Legacy Banking Systems 36:01 Music Engineering 45:08 Childhood Dreams 46:27 Camino de Santiago 49:19 Crypto Fascination 54:44 Web3: The Post Snowden Web 1:00:39 Co-Founding Ethereum 1:03:12 Biggest Ethereum Achievement 1:04:04 Is Ethereum a Success? 1:07:38 Why Gavin Left Ethereum 1:09:48 Polkadot 1:14:53 Polkadots Achievements and Problems 1:24:05 Solution to Polkadot Main Problem 1:28:12 Polkadots Adoption & Communication Strategy 1:38:26 Polkadot Vision of Success 1:42:30 Memecoins 1:45:19 Crypto Integrity 1:49:45 Crypto's Limited Adoption 1:58:35 Identity vs. Individuality 2:07:15 Is AI a Bad Thing? 2:09:27 AI's Communication Revolution 2:25:06 Decentralization Role in AI 2:29:08 Eternal Happiness 2:32:17 Are You Happy? 2:33:52 Meaning of Life 2:38:58 What is Money? 2:45:55 Experience as a Father 2:48:54 Non-Consensus Beliefs
2:52:39

E97: Gavin Wood : Why Ethereum is Going Nowhere since 8 years (and my solution to it) Dr. Gavin Wood is the CoFounder of Ethereum, the Creator of the EVM and of the solidity language, and the Inventor and Founder of Polkadot & Parity Technologies Timestamps 0:00 Introduction 2:44 Culture in Japan VS UK 6:00 Humour 7:40 Who is Gavin? 9:17 Mission 10:28 Characteristics of Successful Founders 13:53 Developing Big Ideas 16:08 Creative Success Mechanism 20:03 Suffering 24:56 From Theory to Transactions 32:28 Building a Support Network 34:36 Legacy Banking Systems 36:01 Music Engineering 45:08 Childhood Dreams 46:27 Camino de Santiago 49:19 Crypto Fascination 54:44 Web3: The Post Snowden Web 1:00:39 Co-Founding Ethereum 1:03:12 Biggest Ethereum Achievement 1:04:04 Is Ethereum a Success? 1:07:38 Why Gavin Left Ethereum 1:09:48 Polkadot 1:14:53 Polkadots Achievements and Problems 1:24:05 Solution to Polkadot Main Problem 1:28:12 Polkadots Adoption & Communication Strategy 1:38:26 Polkadot Vision of Success 1:42:30 Memecoins 1:45:19 Crypto Integrity 1:49:45 Crypto's Limited Adoption 1:58:35 Identity vs. Individuality 2:07:15 Is AI a Bad Thing? 2:09:27 AI's Communication Revolution 2:25:06 Decentralization Role in AI 2:29:08 Eternal Happiness 2:32:17 Are You Happy? 2:33:52 Meaning of Life 2:38:58 What is Money? 2:45:55 Experience as a Father 2:48:54 Non-Consensus Beliefs

MR SHIFT 🦁

265,222 views • 1 year ago

The interview with Tibo from OpenAI 🔥 0:00 Everything OpenAI launched at DevDay 2:44 Sponsors: Wispr Flow, Hostinger, OpenArt 4:11 What is ChatGPT Dots? 7:52 Will ChatGPT Dots be free? 10:15 GPT-6.1 Sol vs GPT-6 Astra 11:44 Is AI now building AI? 12:53 Ultra Fast: when does everyone get it? 14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days 19:08 Why everything will run in the cloud 20:55 Calling your Dots on the phone 22:11 The new Turing test 24:05 OpenAI's mission and AI safety 26:14 Why OpenAI still works like a startup 27:29 The truth about ChatGPT usage resets 29:00 The $500 ChatGPT plan 30:17 Sponsors in action 32:23 Why AI agents still fail 33:52 OpenAI's AI is now on call 34:26 OpenAI's internal benchmarks 35:55 Open source Codex and the open ecosystem 38:42 ChatGPT Space explained 39:45 Is the chat box holding AI back? 42:26 Every DevDay update, full workshop 43:28 How people really use ChatGPT Work and Codex 44:01 When is the next OpenAI model coming? 45:05 What AI has to solve next 45:32 Is your job safe from AI? 48:14 Rapid fire 48:54 Has OpenAI already reached AGI? 50:48 The one thing he'll never let AI do 51:22 His morning AI routine 52:15 What he'd build if not AI Watch the full podcast on YouTube or X. Enjoy!
54:11

The interview with Tibo from OpenAI 🔥 0:00 Everything OpenAI launched at DevDay 2:44 Sponsors: Wispr Flow, Hostinger, OpenArt 4:11 What is ChatGPT Dots? 7:52 Will ChatGPT Dots be free? 10:15 GPT-6.1 Sol vs GPT-6 Astra 11:44 Is AI now building AI? 12:53 Ultra Fast: when does everyone get it? 14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days 19:08 Why everything will run in the cloud 20:55 Calling your Dots on the phone 22:11 The new Turing test 24:05 OpenAI's mission and AI safety 26:14 Why OpenAI still works like a startup 27:29 The truth about ChatGPT usage resets 29:00 The $500 ChatGPT plan 30:17 Sponsors in action 32:23 Why AI agents still fail 33:52 OpenAI's AI is now on call 34:26 OpenAI's internal benchmarks 35:55 Open source Codex and the open ecosystem 38:42 ChatGPT Space explained 39:45 Is the chat box holding AI back? 42:26 Every DevDay update, full workshop 43:28 How people really use ChatGPT Work and Codex 44:01 When is the next OpenAI model coming? 45:05 What AI has to solve next 45:32 Is your job safe from AI? 48:14 Rapid fire 48:54 Has OpenAI already reached AGI? 50:48 The one thing he'll never let AI do 51:22 His morning AI routine 52:15 What he'd build if not AI Watch the full podcast on YouTube or X. Enjoy!

Vaibhav Sisinty

491,360 views • 7 days ago

If AI seems a little spooky, that’s because it’s rooted in the occult. Conrad Flynn explains. (0:00) Is the Elite Class Involved in Occult Activity? (8:51) What Really Is the Occult? (13:13) Is There a Link Between AI and Demons? (17:58) Are Drugs a Portal to the Demonic? (26:05) Is Technology Being Used for Evil? (32:09) What Is Kabbalah? (42:34) Is There Demonic Influence in Music? (49:01) Is War a Product of Demonic Influence? (58:25) The Deadly AI Dilemma (1:04:05) The Kabbalah Tree of Life (1:11:47) What Is the Antichrist? (1:16:00) What Is the Mark of the Beast? (1:21:55) The Spiritual Aspects of AI (1:26:58) Have We Ever Tried to Excavate the Ruins of Babylon? (1:31:45) How to Spot the Antichrist (1:40:27) How to Avoid the Mark of the Beast Includes paid partnerships.
1:46:35

If AI seems a little spooky, that’s because it’s rooted in the occult. Conrad Flynn explains. (0:00) Is the Elite Class Involved in Occult Activity? (8:51) What Really Is the Occult? (13:13) Is There a Link Between AI and Demons? (17:58) Are Drugs a Portal to the Demonic? (26:05) Is Technology Being Used for Evil? (32:09) What Is Kabbalah? (42:34) Is There Demonic Influence in Music? (49:01) Is War a Product of Demonic Influence? (58:25) The Deadly AI Dilemma (1:04:05) The Kabbalah Tree of Life (1:11:47) What Is the Antichrist? (1:16:00) What Is the Mark of the Beast? (1:21:55) The Spiritual Aspects of AI (1:26:58) Have We Ever Tried to Excavate the Ruins of Babylon? (1:31:45) How to Spot the Antichrist (1:40:27) How to Avoid the Mark of the Beast Includes paid partnerships.

Tucker Carlson

4,130,598 views • 1 year ago

Consciousness Builds the Mind Joscha Bach and Wolf Tivy discuss how consciousness may be a convergent strategy for organizing both human and machine minds, whether powerful AI minds will resolve conflicts by merging or by fighting each other, and much more. 0:00 — Intro 2:31 — Why AI philosophy is so bad: deference and abdication 13:02 — Joscha’s quest to understand consciousness 16:52 — Which beings are conscious? 26:09 — Path dependency in technological and biological development 34:43 — Is anthropomorphism limiting LLM development? 42:57 — The computational functionalist model of consciousness 50:57 — The mental process of consciousness 59:22 — The self-organizing seed 1:04:28 — Human vs LLM knowledge structure 1:13:17 — Can the superintelligence achieve total internal unity and self-surveillance? 1:21:57 — America and the singleton question 1:28:46 — Merging or overwriting? 1:39:10 — Will the enlightened singleton want conflict? 1:46:13 — “Aligned AI” versus liberty 2:00:32 — What does this mean for the future? 2:04:20 — The antichrist and the apocalypse
2:08:08

Consciousness Builds the Mind Joscha Bach and Wolf Tivy discuss how consciousness may be a convergent strategy for organizing both human and machine minds, whether powerful AI minds will resolve conflicts by merging or by fighting each other, and much more. 0:00 — Intro 2:31 — Why AI philosophy is so bad: deference and abdication 13:02 — Joscha’s quest to understand consciousness 16:52 — Which beings are conscious? 26:09 — Path dependency in technological and biological development 34:43 — Is anthropomorphism limiting LLM development? 42:57 — The computational functionalist model of consciousness 50:57 — The mental process of consciousness 59:22 — The self-organizing seed 1:04:28 — Human vs LLM knowledge structure 1:13:17 — Can the superintelligence achieve total internal unity and self-surveillance? 1:21:57 — America and the singleton question 1:28:46 — Merging or overwriting? 1:39:10 — Will the enlightened singleton want conflict? 1:46:13 — “Aligned AI” versus liberty 2:00:32 — What does this mean for the future? 2:04:20 — The antichrist and the apocalypse

The Students

35,796 views • 1 month ago