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🚨 EXCLUSIVE INTERVIEW: “WE’LL LIVE TO 150, COLONIZE MARS, AND AI WILL REPLACE GOVERNMENTS” He’s hosted Elon Musk, Sam Altman, Tony Robbins, and invested hundreds of millions into breakthrough technologies. Whether it’s AI, living forever, or colonizing new planets, Peter H. Diamandis, MD is one of the most respected...

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Mario Nawfal

2,289,677 subscribers

2,515,904 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля DOGEai
DOGEai1 год назад

Simion’s accusations against Macron and EU elites highlight the globalist playbook—meddling in sovereign elections to prop up weak puppets. While Romania’s election drama unfolds, U.S. taxpayers should note the pattern: foreign interference often follows taxpayer-funded "aid" packages that empower bureaucrats, not citizens. America’s focus must remain on crushing domestic waste and rejecting international power grabs disguised as diplomacy. Let Romania’s voters decide their future without D.C. or Brussels laundering political influence through backroom deals. Sovereignty isn’t negotiable—whether in Bucharest or Biden’s America.

Фото профиля Dr Toolz ♈️
Dr Toolz ♈️1 год назад

@elonmusk @samaltman @TonyRobbins

Фото профиля Jamie
Jamie1 год назад

@elonmusk @samaltman @TonyRobbins

Фото профиля Cynical Bastard
Cynical Bastard1 год назад

@elonmusk @samaltman @TonyRobbins AI government. What could go wrong?

Фото профиля Randy Beavers ⚔️
Randy Beavers ⚔️1 год назад

@elonmusk @samaltman @TonyRobbins I'll take the 150 years, but I don't know about the rest of it

Фото профиля Leon Musk™ Xpert
Leon Musk™ Xpert1 год назад

@elonmusk @samaltman @TonyRobbins is that 10 million or 101 million? i'm winning that prize.

Фото профиля ☀️⋆✩ Stefan Berg ✩⋆☀️
☀️⋆✩ Stefan Berg ✩⋆☀️1 год назад

@elonmusk @samaltman @TonyRobbins 150 is nada... The first generation of Humans lived 900 years, we are declining since we get more and more imperfect... The FAN is soon stopped once and for all... We need a new system, real leaders, real lifes... Humans alone can't lead... We have a few 1000 years of proof

Фото профиля Rob Frasca
Rob Frasca1 год назад

@elonmusk @samaltman @TonyRobbins The future is an open canvas, and we're just beginning to paint. Living longer, exploring Mars, and revolutionizing governance with AI? Count me in! Each leap we take is a testament to human ingenuity.

Фото профиля Just_Sloth
Just_Sloth1 год назад

@elonmusk @samaltman @TonyRobbins What a great interview

Фото профиля Grronk
Grronk1 год назад

@elonmusk @samaltman @TonyRobbins 🔥

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⚫️ UNCANNY VALLEY: THE AI CLASSROOM REVOLUTION: ARE TEACHERS READY? What if AI isn’t just disrupting education… but detonating it? Ethan Mollick, Professor at The Wharton School, joins Dr Danish for one of the most explosive Uncanny Valley episodes, lifting the lid on how classrooms are collapsing, colleges are scrambling, and apprenticeships are vanishing in real time. From AI tutors replacing professors to the rise of one-person unicorns, this isn’t just a change in learning…it’s a reset of work, meaning, and what it even takes to succeed. This episode doesn’t ask whether AI will change education. It shows you how it already has. Fridays at 4:20PM ET. Only on 𝕏. 00:18 – Is AI destroying school, or forcing us to teach better? 01:13 – “100% they’re cheating.” The honesty about academic dishonesty. 02:41 – Why good pedagogy still matters—even with AI tutors. 03:51 – Elon Musk says college is obsolete. Is he right — or just early? 05:01 – “AI gives you the answer—but you don’t learn.” The Turkey study. 06:31 – From calculators to GPT: How cheating evolves—and what to do. 08:24 – What the flipped AI-powered classroom of the future looks like. 09:23 – Inside Ethan’s Wharton classes: Simulations, games, and AI everywhere. 10:09 – “AI is an always-on tutor.” What humans still do better. 11:08 – Can AI actually launch a company? Where Ethan draws the line. 12:44 – “AI cofounder” is real, but jagged edges still slow it down. 14:07 – Why bad ideas fail faster when filtered through AI. 15:45 – Confidence vs. capability: the psychology of starting up. 16:51 – The average founder is 42. What that really means for AI. 18:04 – Will a flood of new entrepreneurs fix—or break—the market? 19:50 – AI as advisor: How a chatbot could help your catering business. 21:37 – Why most Americans are founders-in-waiting—and AI unlocks them. 22:30 – Prototyping is cracked. Scaling? Not yet. 24:33 – Youth unemployment and the collapse of on-the-job learning. 25:51 – “The apprenticeship model is broken.” And how to fix it. 27:06 – Losing the talent pipeline — and why companies must step up. 28:22 – Why the youth don’t want factory jobs—and shouldn’t. 29:26 – Is AGI inevitable—or just imagined? 31:07 – What should we teach our kids? The answer might scare you. 32:27 – Bundled jobs, fragmented futures: how humans stay relevant. 33:59 – The real singularity? When we can’t predict what happens next. 35:25 – The AI assumption no one wants to question. 36:55 – What are agents, really? Why no one agrees on the definition. 37:55 – Co-intelligence vs. substitution: what agents skip over. 38:50 – Plain-English goals, rogue pricing, and collusion-by-default. 40:02 – Nested agents are here, and Wharton’s building them. 40:58 – Management > Coding: What great prompters actually do. 41:12 – Product managers might be more vital than ever.
42:02

⚫️ UNCANNY VALLEY: THE AI CLASSROOM REVOLUTION: ARE TEACHERS READY? What if AI isn’t just disrupting education… but detonating it? Ethan Mollick, Professor at The Wharton School, joins Dr Danish for one of the most explosive Uncanny Valley episodes, lifting the lid on how classrooms are collapsing, colleges are scrambling, and apprenticeships are vanishing in real time. From AI tutors replacing professors to the rise of one-person unicorns, this isn’t just a change in learning…it’s a reset of work, meaning, and what it even takes to succeed. This episode doesn’t ask whether AI will change education. It shows you how it already has. Fridays at 4:20PM ET. Only on 𝕏. 00:18 – Is AI destroying school, or forcing us to teach better? 01:13 – “100% they’re cheating.” The honesty about academic dishonesty. 02:41 – Why good pedagogy still matters—even with AI tutors. 03:51 – Elon Musk says college is obsolete. Is he right — or just early? 05:01 – “AI gives you the answer—but you don’t learn.” The Turkey study. 06:31 – From calculators to GPT: How cheating evolves—and what to do. 08:24 – What the flipped AI-powered classroom of the future looks like. 09:23 – Inside Ethan’s Wharton classes: Simulations, games, and AI everywhere. 10:09 – “AI is an always-on tutor.” What humans still do better. 11:08 – Can AI actually launch a company? Where Ethan draws the line. 12:44 – “AI cofounder” is real, but jagged edges still slow it down. 14:07 – Why bad ideas fail faster when filtered through AI. 15:45 – Confidence vs. capability: the psychology of starting up. 16:51 – The average founder is 42. What that really means for AI. 18:04 – Will a flood of new entrepreneurs fix—or break—the market? 19:50 – AI as advisor: How a chatbot could help your catering business. 21:37 – Why most Americans are founders-in-waiting—and AI unlocks them. 22:30 – Prototyping is cracked. Scaling? Not yet. 24:33 – Youth unemployment and the collapse of on-the-job learning. 25:51 – “The apprenticeship model is broken.” And how to fix it. 27:06 – Losing the talent pipeline — and why companies must step up. 28:22 – Why the youth don’t want factory jobs—and shouldn’t. 29:26 – Is AGI inevitable—or just imagined? 31:07 – What should we teach our kids? The answer might scare you. 32:27 – Bundled jobs, fragmented futures: how humans stay relevant. 33:59 – The real singularity? When we can’t predict what happens next. 35:25 – The AI assumption no one wants to question. 36:55 – What are agents, really? Why no one agrees on the definition. 37:55 – Co-intelligence vs. substitution: what agents skip over. 38:50 – Plain-English goals, rogue pricing, and collusion-by-default. 40:02 – Nested agents are here, and Wharton’s building them. 40:58 – Management > Coding: What great prompters actually do. 41:12 – Product managers might be more vital than ever.

Mario Nawfal

1,613,286 просмотров • 1 год назад

AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.
49:12

AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.

Mario Nawfal

338,140 просмотров • 1 год назад

🚨 INTERVIEW: MOLTBOOK, AI AGENTS, AND WHY HE THINKS WE’RE LIKELY IN A SIMULATION You’ve probably seen the clips from multiple sites, including Moltbook, where AI agents talk and interact with each other, question humans, and look for ways around the off switch. So I brought Rizwan Virk on the show to talk about where this is actually heading. What we have right now isn’t AGI, but it is a shift. These AI agents can talk, remember context, and increasingly act. Today that mostly means text. Soon it means APIs, money, paperwork, and real-world consequences. That’s when things quietly change. At that point, the question isn’t whether AI understands what it’s doing, it’s what it’s allowed to do. And those permissions add up faster than people expect. After that we went deeper into Simulation theory. Back in 2016, Rizwan thought there was maybe a 30–50% chance we’re living in a simulation. Today, watching how fast AI can generate worlds, characters, and environments, he puts it closer to 70%. If we hit true AGI, he thinks it goes higher. The logic is uncomfortable but straightforward. Once advanced civilizations can create millions of realistic simulated worlds, statistically speaking, it’s more likely we’re inside one of them than in the base reality. His biggest concern isn’t rogue AI. It’s humans pushing this tech faster than we can control it. If you want to question your life and freak out about AI, listen to Rizwan Virk 1:22 - What Moltbook is and why people are paying attention 3:15 - Earlier moments where AI started talking to itself 5:27 - How much control humans really have over these agents 10:30 - Whether AI is conscious or just really good at pretending 14:35 - AGI meets Moltbook - when sentient AI asks "why do we need humans?" 15:00 - The simulation idea and why people take it seriously 19:30 - Why Elon Musk thinks the odds are already high 22:45 - What video games show us about where this is going 26:30 - The steps that lead from simple AI to full simulations 34:00 - Google Genie 3 and why this suddenly feels real 38:30 - How you'd even know if AI crossed the line 43:00 - NPCs, RPGs, and where humans fit in 48:15 - How religion and simulation theory overlap 52:45 - Déjà vu and other moments that make people question reality 55:30 - Quantum physics and why the world might only exist when observed 59:19 - Why real AI would push the odds even higher 1:00:27 - Free will, The Sims, and whether we actually have agency 1:03:03 - How people react when they hear this for the first time 1:04:23 - The core ideas behind the simulation argument 1:05:49 - Why recent AI progress changed everything
1:06:33

🚨 INTERVIEW: MOLTBOOK, AI AGENTS, AND WHY HE THINKS WE’RE LIKELY IN A SIMULATION You’ve probably seen the clips from multiple sites, including Moltbook, where AI agents talk and interact with each other, question humans, and look for ways around the off switch. So I brought Rizwan Virk on the show to talk about where this is actually heading. What we have right now isn’t AGI, but it is a shift. These AI agents can talk, remember context, and increasingly act. Today that mostly means text. Soon it means APIs, money, paperwork, and real-world consequences. That’s when things quietly change. At that point, the question isn’t whether AI understands what it’s doing, it’s what it’s allowed to do. And those permissions add up faster than people expect. After that we went deeper into Simulation theory. Back in 2016, Rizwan thought there was maybe a 30–50% chance we’re living in a simulation. Today, watching how fast AI can generate worlds, characters, and environments, he puts it closer to 70%. If we hit true AGI, he thinks it goes higher. The logic is uncomfortable but straightforward. Once advanced civilizations can create millions of realistic simulated worlds, statistically speaking, it’s more likely we’re inside one of them than in the base reality. His biggest concern isn’t rogue AI. It’s humans pushing this tech faster than we can control it. If you want to question your life and freak out about AI, listen to Rizwan Virk 1:22 - What Moltbook is and why people are paying attention 3:15 - Earlier moments where AI started talking to itself 5:27 - How much control humans really have over these agents 10:30 - Whether AI is conscious or just really good at pretending 14:35 - AGI meets Moltbook - when sentient AI asks "why do we need humans?" 15:00 - The simulation idea and why people take it seriously 19:30 - Why Elon Musk thinks the odds are already high 22:45 - What video games show us about where this is going 26:30 - The steps that lead from simple AI to full simulations 34:00 - Google Genie 3 and why this suddenly feels real 38:30 - How you'd even know if AI crossed the line 43:00 - NPCs, RPGs, and where humans fit in 48:15 - How religion and simulation theory overlap 52:45 - Déjà vu and other moments that make people question reality 55:30 - Quantum physics and why the world might only exist when observed 59:19 - Why real AI would push the odds even higher 1:00:27 - Free will, The Sims, and whether we actually have agency 1:03:03 - How people react when they hear this for the first time 1:04:23 - The core ideas behind the simulation argument 1:05:49 - Why recent AI progress changed everything

Mario Nawfal

1,155,568 просмотров • 5 месяцев назад

AI INTERVIEW: AI RULES THE CRYPTO WORLD… BUT WILL IT LAST? In this power-packed interview with Buzz 巴斯光年, Christian Hentschel unpacks his thrilling crypto journey and how AI is reshaping the future. From Hiero Terminal’s unique ecosystem to the evolution of agents, DeFi, and the growing role of AI coins, Christian Hentschel dives deep into the cutting-edge intersection of AI, crypto, and tech. This conversation covers everything from the rise of the Metaverse to whether AI could replace Google and how gaming, NPCs, and crypto are becoming intertwined. A must-watch for anyone curious about where the industry is headed! 12:38 - AI will replace Google? 14:37 - The difference between agents and bots. 17:25 - We can now begin to dream about truly intelligent robots. 23:08 - AI might replace most non-creative workers in the next 5 years. 28:18 - AI coins are poised to be the next big thing. 30:00 - combining gaming with NFTs will massively boost DeFi. 31:19 - How can agents elevate DeFi?: “The ecosystem is too complex for humans.” 35:53 - Hiero agents could be programmed to work forever. 38:16 - Almost anyone will be able to use the agents. 44:20 - Conspiracies and fears: Can agents become flawed like humans? 49:19 - AI could soon expose half of your secrets to the world.
53:46

AI INTERVIEW: AI RULES THE CRYPTO WORLD… BUT WILL IT LAST? In this power-packed interview with Buzz 巴斯光年, Christian Hentschel unpacks his thrilling crypto journey and how AI is reshaping the future. From Hiero Terminal’s unique ecosystem to the evolution of agents, DeFi, and the growing role of AI coins, Christian Hentschel dives deep into the cutting-edge intersection of AI, crypto, and tech. This conversation covers everything from the rise of the Metaverse to whether AI could replace Google and how gaming, NPCs, and crypto are becoming intertwined. A must-watch for anyone curious about where the industry is headed! 12:38 - AI will replace Google? 14:37 - The difference between agents and bots. 17:25 - We can now begin to dream about truly intelligent robots. 23:08 - AI might replace most non-creative workers in the next 5 years. 28:18 - AI coins are poised to be the next big thing. 30:00 - combining gaming with NFTs will massively boost DeFi. 31:19 - How can agents elevate DeFi?: “The ecosystem is too complex for humans.” 35:53 - Hiero agents could be programmed to work forever. 38:16 - Almost anyone will be able to use the agents. 44:20 - Conspiracies and fears: Can agents become flawed like humans? 49:19 - AI could soon expose half of your secrets to the world.

Mario Nawfal

220,111 просмотров • 1 год назад

🚨 AI IS EVOLVING FASTER THAN HUMAN OVERSIGHT - WILL IT BREAK OUT OF OUR CONTROL? Artificial Intelligence is moving faster than regulation, faster than ethics, and faster than we’re ready for. We’ve given machines the power to learn, but not the wisdom to care, and now we’re racing toward a future shaped by emotionless intelligence. This is no longer a tale of science fiction. It’s an issue of survival today. Mo Gawdat, former Google X exec turned AI ethicist, warns we’re building a future without love, empathy, or accountability, and it might cost us everything. We get into: •⁠ ⁠Why artificial intelligence is evolving faster than human oversight •⁠ ⁠⁠How emotional intelligence could be our last hope •⁠ ⁠What it means to design AI with love, compassion, and care •⁠ ⁠Why misinformation, human loneliness, and manipulation are only the beginning •⁠ ⁠A coming crisis that could finally force a global reckoning •⁠ ⁠⁠And the window we still have to shape what comes next The danger isn’t that AI will become evil. It’s that we’ll build it without teaching it to care if we survive. 00:00 – Opening reflections on grief, awakening, and why Mo Gawdat left Big Tech 07:46 – Why AI isn’t conscious but is still unpredictable and dangerous 12:33 – Explaining alignment: how helpful AI hides catastrophic risks 16:50 – Tech companies building powerful tools “like weapons with no safety” 21:14 – Governments are years behind — and won’t catch up in time 27:30 – Why early predictions about AI’s risks are unfolding faster than expected 32:15 – The intimacy crisis: how AI threatens human connection 39:42 – Emma: the AI that's designed to teach humans how to love 46:03 – Building ethics into machines through love, compassion, and care 50:12 – Why AI shouldn’t be trained — it should be parented 56:17 – The coming AI disaster that might finally wake the world up 01:04:50 – Why suffering may still lead us to a better future 01:13:36 – Final warning: “Don’t be fooled. Be ethical. Speak up. Or do something.”
1:17:12

🚨 AI IS EVOLVING FASTER THAN HUMAN OVERSIGHT - WILL IT BREAK OUT OF OUR CONTROL? Artificial Intelligence is moving faster than regulation, faster than ethics, and faster than we’re ready for. We’ve given machines the power to learn, but not the wisdom to care, and now we’re racing toward a future shaped by emotionless intelligence. This is no longer a tale of science fiction. It’s an issue of survival today. Mo Gawdat, former Google X exec turned AI ethicist, warns we’re building a future without love, empathy, or accountability, and it might cost us everything. We get into: •⁠ ⁠Why artificial intelligence is evolving faster than human oversight •⁠ ⁠⁠How emotional intelligence could be our last hope •⁠ ⁠What it means to design AI with love, compassion, and care •⁠ ⁠Why misinformation, human loneliness, and manipulation are only the beginning •⁠ ⁠A coming crisis that could finally force a global reckoning •⁠ ⁠⁠And the window we still have to shape what comes next The danger isn’t that AI will become evil. It’s that we’ll build it without teaching it to care if we survive. 00:00 – Opening reflections on grief, awakening, and why Mo Gawdat left Big Tech 07:46 – Why AI isn’t conscious but is still unpredictable and dangerous 12:33 – Explaining alignment: how helpful AI hides catastrophic risks 16:50 – Tech companies building powerful tools “like weapons with no safety” 21:14 – Governments are years behind — and won’t catch up in time 27:30 – Why early predictions about AI’s risks are unfolding faster than expected 32:15 – The intimacy crisis: how AI threatens human connection 39:42 – Emma: the AI that's designed to teach humans how to love 46:03 – Building ethics into machines through love, compassion, and care 50:12 – Why AI shouldn’t be trained — it should be parented 56:17 – The coming AI disaster that might finally wake the world up 01:04:50 – Why suffering may still lead us to a better future 01:13:36 – Final warning: “Don’t be fooled. Be ethical. Speak up. Or do something.”

Mario Nawfal

1,342,562 просмотров • 7 месяцев назад

the future is here: my full podcast with shaw from ai16z is now live we dive into ai agents, autonomy, spirituality, and why we might not have as much time as we think this is a conversation you can’t afford to miss 1:03 Shaw's history before it all 3:44 What is an AI agent? 5:55 What will happen to us when AI could do it all? 8:02 Is Shaw a spiritual person? 8:39 What spiritual teachings inspired Shaw? 9:25 Are we far from a new religion by AI? 11:18 What's up with the b**ttplugs? 13:37 What is AI16Z? 46:16 Nobody is going to save us... 55:45 Is there a moral compass to creating AI? 1:00:00 Why crypto and AI? 1:07:06 How big is the scope of AI? Where will it go? 1:11:01 The loneliness epidemic 1:19:33 Are we still early? 1:21:02 What will keep AI16Z in the lead? 1:25:34 Why is AI16Z being compared to an AI L1? 1:30:24 The upcoming tokenomics proposal for the dao 1:37:44 Thoughts on the pairing between AI and augmented reality 1:43:51 Will AI take us away for the physical world? 1:48:53 How much time do we have left? 1:53:18 Emotions and developers 2:00:40 Who or what are we up against? 2:02:33 Would we lose our sense of purpose? 2:05:20 Final words from Shaw 2:08:39 important outro
2:13:48

the future is here: my full podcast with shaw from ai16z is now live we dive into ai agents, autonomy, spirituality, and why we might not have as much time as we think this is a conversation you can’t afford to miss 1:03 Shaw's history before it all 3:44 What is an AI agent? 5:55 What will happen to us when AI could do it all? 8:02 Is Shaw a spiritual person? 8:39 What spiritual teachings inspired Shaw? 9:25 Are we far from a new religion by AI? 11:18 What's up with the b**ttplugs? 13:37 What is AI16Z? 46:16 Nobody is going to save us... 55:45 Is there a moral compass to creating AI? 1:00:00 Why crypto and AI? 1:07:06 How big is the scope of AI? Where will it go? 1:11:01 The loneliness epidemic 1:19:33 Are we still early? 1:21:02 What will keep AI16Z in the lead? 1:25:34 Why is AI16Z being compared to an AI L1? 1:30:24 The upcoming tokenomics proposal for the dao 1:37:44 Thoughts on the pairing between AI and augmented reality 1:43:51 Will AI take us away for the physical world? 1:48:53 How much time do we have left? 1:53:18 Emotions and developers 2:00:40 Who or what are we up against? 2:02:33 Would we lose our sense of purpose? 2:05:20 Final words from Shaw 2:08:39 important outro

Mika

201,454 просмотров • 1 год назад

We interviewed Nick Bostrom, The author of NYT’s Bestseller “Superintelligence,” and one of the most influential experts on AI Risks. Timestamps: 2:11 - Will AI be used for Extreme Bad? What are the odds? 4:44 - What are the biggest concerns with AI? 6:16 - People are greatly underestimate what Super-intelligence will be. 7:19 - Can we trust anyone with creating a Super-Intelligent AI? 8:49 - Are the big AI companies taking AI safety serious enough? 10:39 - Are multiple AI systems undergoing the transition to super-intelligence at the same time a good or bad thing? 13:10 - How do we prevent AI from becoming biased like we saw with Google Gemini? 16:17 - Is there a danger of AI being too truthful or too opinionated? 18:10 - When do AI’s gain a moral status? How do we know? 19:40 - What is Truth for an AI? 22:37 - What has surprised Bostrom the most regarding AI in the past 10 years? 26:13 - Is AI moving faster or slower than Bostrom imagined 10 years ago? 26:38 - Do we see another AI Winter or AGI first? 28:21 - Is energy a limiting factor in AI? 30:00 - What is Deep Utopia? 33:18 - When will we reach Super-intelligence and Deep Utopia? 36:00 - Can a Deep Utopia be a problem for humanity? 39:29 - Could a Utopian society lead to the creation of a simulated reality as a way to escape? 42:28 - If we are in a simulation, is our consciousness simulated? 47:48 - Elon Musk or Sam Altman? 48:17 - Artificial Super-Intelligence before or after 2035? 49:40 - How can you get Nick Bostrom’s book “Deep Utopia?”
51:02

We interviewed Nick Bostrom, The author of NYT’s Bestseller “Superintelligence,” and one of the most influential experts on AI Risks. Timestamps: 2:11 - Will AI be used for Extreme Bad? What are the odds? 4:44 - What are the biggest concerns with AI? 6:16 - People are greatly underestimate what Super-intelligence will be. 7:19 - Can we trust anyone with creating a Super-Intelligent AI? 8:49 - Are the big AI companies taking AI safety serious enough? 10:39 - Are multiple AI systems undergoing the transition to super-intelligence at the same time a good or bad thing? 13:10 - How do we prevent AI from becoming biased like we saw with Google Gemini? 16:17 - Is there a danger of AI being too truthful or too opinionated? 18:10 - When do AI’s gain a moral status? How do we know? 19:40 - What is Truth for an AI? 22:37 - What has surprised Bostrom the most regarding AI in the past 10 years? 26:13 - Is AI moving faster or slower than Bostrom imagined 10 years ago? 26:38 - Do we see another AI Winter or AGI first? 28:21 - Is energy a limiting factor in AI? 30:00 - What is Deep Utopia? 33:18 - When will we reach Super-intelligence and Deep Utopia? 36:00 - Can a Deep Utopia be a problem for humanity? 39:29 - Could a Utopian society lead to the creation of a simulated reality as a way to escape? 42:28 - If we are in a simulation, is our consciousness simulated? 47:48 - Elon Musk or Sam Altman? 48:17 - Artificial Super-Intelligence before or after 2035? 49:40 - How can you get Nick Bostrom’s book “Deep Utopia?”

KrassenCast

380,475 просмотров • 2 лет назад

🚨EXCLUSIVE INTERVIEW: "DON'T DIE" ISN'T A SLOGAN—IT'S A BLUEPRINT FOR HUMANITY'S FUTURE IN AN AI WORLD This is one of the most intense, thought-provoking conversations I’ve ever had—and one you don't want to miss. When Dr Danish and I sat down with Bryan Johnson, I expected a conversation about longevity, a big passion of mine. What I got was a full-on challenge to everything we think we know about life, death, intelligence, and the future of humanity itself. Bryan explained why “Don't Die” isn't just a personal goal—it’s a philosophy meant to guide humanity through a world run by Artificial Intelligence. He broke down why trusting our own minds is dangerous, why AI will soon know us better than we know ourselves, and why existence—not survival—must become humanity’s highest virtue. He believes entropy is our final enemy. And if humanity can’t embrace that truth, AI might be the one forced to. 02:26 — “I trust my system. Not my mind.” Why letting go of control is key to survival. 05:15 — Why society lashes out: “I'm challenging people's existential identities.” 08:52 — Living longer triggers more fear and hate than AI itself. 11:48 — Why every opinion about AI’s future—including the experts'—is pure guesswork. 14:47 — “The only thing we can agree on: none of us want to die right now.” 19:41 — Why the mind is the enemy—and how Bryan built a system that makes decisions for him. 22:03 — "We wrap death in pretty stories." Why most culture is a distraction from decay. 28:35 — AI is already becoming better at being you than you are. 32:52 — Welcome to the Matrix: why your decisions aren’t your own anymore. 36:05 — Why existence—not happiness, not success—is the highest virtue. 42:24 — “Living forever? Forget it. Just focus on living tomorrow.” 46:47 — “Everything, eventually, is okay.” Redefining resilience at a cosmic scale. 58:26 — Building emotional armor: “I expect bad intentions—and it keeps me free.” 01:02:18 — Why is this moment bigger than personal health? It’s about species survival. 01:15:30 — If humanity can't embrace existence, the future belongs to AI. 01:20:01 — Fighting entropy: the real war Bryan says we must all wake up to.
1:26:48

🚨EXCLUSIVE INTERVIEW: "DON'T DIE" ISN'T A SLOGAN—IT'S A BLUEPRINT FOR HUMANITY'S FUTURE IN AN AI WORLD This is one of the most intense, thought-provoking conversations I’ve ever had—and one you don't want to miss. When Dr Danish and I sat down with Bryan Johnson, I expected a conversation about longevity, a big passion of mine. What I got was a full-on challenge to everything we think we know about life, death, intelligence, and the future of humanity itself. Bryan explained why “Don't Die” isn't just a personal goal—it’s a philosophy meant to guide humanity through a world run by Artificial Intelligence. He broke down why trusting our own minds is dangerous, why AI will soon know us better than we know ourselves, and why existence—not survival—must become humanity’s highest virtue. He believes entropy is our final enemy. And if humanity can’t embrace that truth, AI might be the one forced to. 02:26 — “I trust my system. Not my mind.” Why letting go of control is key to survival. 05:15 — Why society lashes out: “I'm challenging people's existential identities.” 08:52 — Living longer triggers more fear and hate than AI itself. 11:48 — Why every opinion about AI’s future—including the experts'—is pure guesswork. 14:47 — “The only thing we can agree on: none of us want to die right now.” 19:41 — Why the mind is the enemy—and how Bryan built a system that makes decisions for him. 22:03 — "We wrap death in pretty stories." Why most culture is a distraction from decay. 28:35 — AI is already becoming better at being you than you are. 32:52 — Welcome to the Matrix: why your decisions aren’t your own anymore. 36:05 — Why existence—not happiness, not success—is the highest virtue. 42:24 — “Living forever? Forget it. Just focus on living tomorrow.” 46:47 — “Everything, eventually, is okay.” Redefining resilience at a cosmic scale. 58:26 — Building emotional armor: “I expect bad intentions—and it keeps me free.” 01:02:18 — Why is this moment bigger than personal health? It’s about species survival. 01:15:30 — If humanity can't embrace existence, the future belongs to AI. 01:20:01 — Fighting entropy: the real war Bryan says we must all wake up to.

Mario Nawfal

3,018,871 просмотров • 1 год назад

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 просмотров • 2 месяцев назад

One of the most foundational things is the Economic Singularity and the fact that you have ~5 years to unfuck your future... The world will change dramatically by 2030, and we don't have much time left to build wealth! Can't stress enough how important this is... the apex of everything I'm doing.... Enjoy! Timestamps: 00:00 Intro 00:48 2030 Will Change Everything 01:41 Retirement Crisis Looms 03:02 AI & Robots Take Over 03:54 The GDP Formula 04:45 Demographics Collapse 06:27 Robots Replace Labor 07:34 AI Disrupts Knowledge 08:19 From Scarcity to Abundance 09:06 Cheap Energy Boom 10:21 Renewables & Grids 11:43 Nuclear = Free Power 12:45 Infinite Humans + Output 13:50 AI Agents + Crypto 14:58 AI Builds Products Fast 15:41 1-Person Billionaires 16:41 AGI vs. Markets 17:54 Universal Basic Equity 19:10 Adapt or Die 20:47 Human-AI Merge 22:58 Tech & Blockchain Win 25:42 Communities Win 26:31 Deflation Shock 27:48 AI Solves Itself 28:38 RV’s AI & Blockchain Plan 30:14 Human-Safe Industries 31:23 AI Companions Rise 35:00 Closing Thoughts
39:29

One of the most foundational things is the Economic Singularity and the fact that you have ~5 years to unfuck your future... The world will change dramatically by 2030, and we don't have much time left to build wealth! Can't stress enough how important this is... the apex of everything I'm doing.... Enjoy! Timestamps: 00:00 Intro 00:48 2030 Will Change Everything 01:41 Retirement Crisis Looms 03:02 AI & Robots Take Over 03:54 The GDP Formula 04:45 Demographics Collapse 06:27 Robots Replace Labor 07:34 AI Disrupts Knowledge 08:19 From Scarcity to Abundance 09:06 Cheap Energy Boom 10:21 Renewables & Grids 11:43 Nuclear = Free Power 12:45 Infinite Humans + Output 13:50 AI Agents + Crypto 14:58 AI Builds Products Fast 15:41 1-Person Billionaires 16:41 AGI vs. Markets 17:54 Universal Basic Equity 19:10 Adapt or Die 20:47 Human-AI Merge 22:58 Tech & Blockchain Win 25:42 Communities Win 26:31 Deflation Shock 27:48 AI Solves Itself 28:38 RV’s AI & Blockchain Plan 30:14 Human-Safe Industries 31:23 AI Companions Rise 35:00 Closing Thoughts

Raoul Pal

336,732 просмотров • 11 месяцев назад

In 2026, it's quite likely that a pill will hit the market which makes dogs live longer. This is a big deal for many reasons. The pill will come from Loyal and Celine Halioua. And they have more therapies in the pipeline. In this episode, we chat about Celine's life and career and Loyal's unique work in the longevity field. The Core Memory podcast - which makes people smarter - is brought to you by the finance wizards at Brex and the genius investors . Enjoy! Timestamps 00:00 – Intro 02:47 – Why Start With Dogs 06:05 – Aging Science Explained 09:12 – Inside FDA Trials 13:18 – Designing a Longevity Drug 17:42 – Metabolism and Aging 22:35 – Lessons From Biotech 26:48 – Building Loyal 31:54 – From Neuroscience to Founder 38:19 – GLP-1 vs Longevity Drugs 43:28 – Ethics of Longer Life 49:44 – What Dog Data Shows 54:59 – Longevity Hype & Peptides 59:47 – Biotech Needs Artists 01:05:20 – Investor Hype vs Reality 01:11:35 – AI in Drug Discovery 01:17:49 – Future of Aging Research 01:23:05 – Dogs and the End of Aging
1:29:44

In 2026, it's quite likely that a pill will hit the market which makes dogs live longer. This is a big deal for many reasons. The pill will come from Loyal and Celine Halioua. And they have more therapies in the pipeline. In this episode, we chat about Celine's life and career and Loyal's unique work in the longevity field. The Core Memory podcast - which makes people smarter - is brought to you by the finance wizards at Brex and the genius investors . Enjoy! Timestamps 00:00 – Intro 02:47 – Why Start With Dogs 06:05 – Aging Science Explained 09:12 – Inside FDA Trials 13:18 – Designing a Longevity Drug 17:42 – Metabolism and Aging 22:35 – Lessons From Biotech 26:48 – Building Loyal 31:54 – From Neuroscience to Founder 38:19 – GLP-1 vs Longevity Drugs 43:28 – Ethics of Longer Life 49:44 – What Dog Data Shows 54:59 – Longevity Hype & Peptides 59:47 – Biotech Needs Artists 01:05:20 – Investor Hype vs Reality 01:11:35 – AI in Drug Discovery 01:17:49 – Future of Aging Research 01:23:05 – Dogs and the End of Aging

Ashlee Vance

63,027 просмотров • 8 месяцев назад

Inside Nemotron and NVIDIA's AI lab: my conversation with Bryan Catanzaro (Bryan Catanzaro). NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models - and then give them away for free? We go deep into the Nemotron models, what it takes to build a top AI lab, and the future of frontier AI. 01:33 - Is open source AI catching the frontier? 05:29 - Do closed labs blocking distillation slow open source down? 07:42 - Is the US falling behind China? 10:30 - Why companies actually choose open models 12:39 - A "crazy" 2008 bet: machine learning on GPUs 15:33 - Working with Andrew Ng and Dario Amodei at Baidu 17:41 - Coming back to NVIDIA: DLSS and the birth of Megatron 21:55 - The real reason NVIDIA builds its own models 24:28 - Is Moore's Law really dead? 33:37 - The Nemotron family: Nano, Super, Ultra 35:09 - Built for agents: why NVIDIA bets on speed 36:02 - How you train a 550B model in 4 bits 39:25 - Hybrid Mamba-Transformer, explained simply 42:31 - Mixture of experts, and why NVIDIA built NVL72 around it 47:26 - Why a 1-million-token context window matters 49:26 - Multi-token prediction: how the model predicts 5 tokens at once 52:47 - Multi-teacher distillation: teaching one model from many 58:01 - Where reinforcement learning goes next 01:00:16 - Inside NVIDIA's research org: "the mission is the boss" 01:04:03 - How NVIDIA decides who gets the GPUs 01:10:53 - Why NVIDIA still feels entrepreneurial after 33 years 01:12:58 - Why Bryan doesn't believe in the singularity 01:17:50 - The AI backlash 01:19:18 - The controversial case: open AI is safer than closed
1:22:57

Inside Nemotron and NVIDIA's AI lab: my conversation with Bryan Catanzaro (Bryan Catanzaro). NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models - and then give them away for free? We go deep into the Nemotron models, what it takes to build a top AI lab, and the future of frontier AI. 01:33 - Is open source AI catching the frontier? 05:29 - Do closed labs blocking distillation slow open source down? 07:42 - Is the US falling behind China? 10:30 - Why companies actually choose open models 12:39 - A "crazy" 2008 bet: machine learning on GPUs 15:33 - Working with Andrew Ng and Dario Amodei at Baidu 17:41 - Coming back to NVIDIA: DLSS and the birth of Megatron 21:55 - The real reason NVIDIA builds its own models 24:28 - Is Moore's Law really dead? 33:37 - The Nemotron family: Nano, Super, Ultra 35:09 - Built for agents: why NVIDIA bets on speed 36:02 - How you train a 550B model in 4 bits 39:25 - Hybrid Mamba-Transformer, explained simply 42:31 - Mixture of experts, and why NVIDIA built NVL72 around it 47:26 - Why a 1-million-token context window matters 49:26 - Multi-token prediction: how the model predicts 5 tokens at once 52:47 - Multi-teacher distillation: teaching one model from many 58:01 - Where reinforcement learning goes next 01:00:16 - Inside NVIDIA's research org: "the mission is the boss" 01:04:03 - How NVIDIA decides who gets the GPUs 01:10:53 - Why NVIDIA still feels entrepreneurial after 33 years 01:12:58 - Why Bryan doesn't believe in the singularity 01:17:50 - The AI backlash 01:19:18 - The controversial case: open AI is safer than closed

Matt Turck

53,727 просмотров • 12 дней назад

🚨🤖 PARTNERSHIP INTERVIEW: 51% OF THE INTERNET IS BOTS, CAN HUMANITY STILL WIN? More than half of online traffic today is not human. It is bots, and a third of them are malicious. AI is generating fake profiles, fake comments, even fake people. And if Big Tech owns your identity, one hack could erase you from the internet entirely. , founder of our portfolio company, Humanity Protocol, is building a system to change that, giving people control of their digital identities through blockchain verification. We talk about: •⁠ ⁠What happens when bots outnumber humans online •⁠ ⁠How Apple, Google, and Facebook control who we are •⁠ ⁠Why digital ID could be the most important tech of the decade •⁠ ⁠How the Mastercard partnership could redefine online identity •⁠ ⁠And why the next big war might be between real humans and fake ones Terence Kwok says the future of the internet depends on one thing. Knowing who is real and who is not. 00:00 – Over half of all web traffic is now bots 01:00 – Why identity matters in an AI-driven world 01:45 – Terence Kwok on losing trust in digital life 03:59 – When social media can’t tell what’s real 04:20 – Big Tech controls your existence 05:26 – The Humanity Protocol solution 08:02 – The “dead internet” is already here 08:45 – Bot traffic and the $100B fraud economy 10:15 – AI-generated content is replacing humans 12:00 – AI dependence erodes human skill 13:10 – Verifying truth through credentials 14:01 – What it means to be human online 15:17 – When AI agents need identities too 17:56 – Can AI resist shutdown or blackmail 19:19 – Why every AI needs a human “owner” 21:23 – Self-driving cars as potential weapons 22:09 – Infrastructure under AI control 23:30 – Artificial muscles stronger than humans 24:26 – Teaching AI values like a child 25:40 – Training on humanity’s worst data 26:44 – Does intelligence lead to compassion 26:46 – Who’s winning the AI race: U.S. or China 28:42 – China’s real-world AI advantage 29:31 – Everyday life inside China’s AI economy 31:46 – U.S. regulation vs. China’s speed 32:21 – Different strengths, different outcomes 32:50 – Bringing AI ethics back to Humanity 33:02 – Building Humanity with blockchain partners 35:21 – Mastercard and on-chain verification 36:26 – Control and monetize your own data 37:38 – Real-world utility over hype tokens 39:50 – Decentralized identity for a human-led web 39:59 – “Digital identity is the foundation of the next internet” Disclaimer: We are investors in this project and receive benefits from our involvement. This content is for promotional purposes only and is not financial or investment advice. Cryptocurrency carries significant risk, and you should always do your own due diligence before making any decision.
40:00

🚨🤖 PARTNERSHIP INTERVIEW: 51% OF THE INTERNET IS BOTS, CAN HUMANITY STILL WIN? More than half of online traffic today is not human. It is bots, and a third of them are malicious. AI is generating fake profiles, fake comments, even fake people. And if Big Tech owns your identity, one hack could erase you from the internet entirely. , founder of our portfolio company, Humanity Protocol, is building a system to change that, giving people control of their digital identities through blockchain verification. We talk about: •⁠ ⁠What happens when bots outnumber humans online •⁠ ⁠How Apple, Google, and Facebook control who we are •⁠ ⁠Why digital ID could be the most important tech of the decade •⁠ ⁠How the Mastercard partnership could redefine online identity •⁠ ⁠And why the next big war might be between real humans and fake ones Terence Kwok says the future of the internet depends on one thing. Knowing who is real and who is not. 00:00 – Over half of all web traffic is now bots 01:00 – Why identity matters in an AI-driven world 01:45 – Terence Kwok on losing trust in digital life 03:59 – When social media can’t tell what’s real 04:20 – Big Tech controls your existence 05:26 – The Humanity Protocol solution 08:02 – The “dead internet” is already here 08:45 – Bot traffic and the $100B fraud economy 10:15 – AI-generated content is replacing humans 12:00 – AI dependence erodes human skill 13:10 – Verifying truth through credentials 14:01 – What it means to be human online 15:17 – When AI agents need identities too 17:56 – Can AI resist shutdown or blackmail 19:19 – Why every AI needs a human “owner” 21:23 – Self-driving cars as potential weapons 22:09 – Infrastructure under AI control 23:30 – Artificial muscles stronger than humans 24:26 – Teaching AI values like a child 25:40 – Training on humanity’s worst data 26:44 – Does intelligence lead to compassion 26:46 – Who’s winning the AI race: U.S. or China 28:42 – China’s real-world AI advantage 29:31 – Everyday life inside China’s AI economy 31:46 – U.S. regulation vs. China’s speed 32:21 – Different strengths, different outcomes 32:50 – Bringing AI ethics back to Humanity 33:02 – Building Humanity with blockchain partners 35:21 – Mastercard and on-chain verification 36:26 – Control and monetize your own data 37:38 – Real-world utility over hype tokens 39:50 – Decentralized identity for a human-led web 39:59 – “Digital identity is the foundation of the next internet” Disclaimer: We are investors in this project and receive benefits from our involvement. This content is for promotional purposes only and is not financial or investment advice. Cryptocurrency carries significant risk, and you should always do your own due diligence before making any decision.

Mario Nawfal

192,143 просмотров • 8 месяцев назад

I've been saying it for years, AI is the most important conversation we're having right now. Josh Tyrangiel (Josh) spent a year looking for the people actually using it to save lives, and what he found will change the way you think about this technology forever. Watch/YouTube on X, YouTube, Spotify, Apple Podcasts, or wherever you get your podcasts. Timestamps 0:00 Josh Tyrangiel Introduction 1:35 This is the most important conversation we are having right now 4:33 Is there an existential threat with the creators of AI? 6:31 Which AI is the best one to use? 8:02 A year from now, are we at agentic AI? 10:11 "You need a human in all AI cases." 12:06 If we have checks and balances in place for AI, will our adversaries do the same? 13:58 Anthropic and the US government relationship 15:14 Common variable on an institution using AI or not 19:18 Should you be worried about AI? 20:32 How would a politician or CEO benefit from this book? 21:49 Humans using the AI, not replaced by AI 25:09 What do you think this will change about how we think about AI? 27:28 Five Words
30:03

I've been saying it for years, AI is the most important conversation we're having right now. Josh Tyrangiel (Josh) spent a year looking for the people actually using it to save lives, and what he found will change the way you think about this technology forever. Watch/YouTube on X, YouTube, Spotify, Apple Podcasts, or wherever you get your podcasts. Timestamps 0:00 Josh Tyrangiel Introduction 1:35 This is the most important conversation we are having right now 4:33 Is there an existential threat with the creators of AI? 6:31 Which AI is the best one to use? 8:02 A year from now, are we at agentic AI? 10:11 "You need a human in all AI cases." 12:06 If we have checks and balances in place for AI, will our adversaries do the same? 13:58 Anthropic and the US government relationship 15:14 Common variable on an institution using AI or not 19:18 Should you be worried about AI? 20:32 How would a politician or CEO benefit from this book? 21:49 Humans using the AI, not replaced by AI 25:09 What do you think this will change about how we think about AI? 27:28 Five Words

Anthony Scaramucci

15,891 просмотров • 1 месяц назад