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🚹EXCLUSIVE INTERVIEW – BRYAN JOHNSON: WHY ARE AI INSIDERS PREPARING REMOTE HIDEOUTS FEARING SOCIETAL COLLAPSE? This is the most intense, reality-warping conversation I’ve ever had about AI, humanity, and what happens when the system breaks. I sat down with Bryan Johnson, creator of “Don’t Die,” expecting a discussion on...

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🚹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 görĂŒntĂŒleme ‱ 1 yıl önce

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection
 That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Steven Bartlett

27,598 görĂŒntĂŒleme ‱ 1 ay önce

⚫ 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 görĂŒntĂŒleme ‱ 1 yıl önce

AI Validates the Truth of Buddhism | Philosophy x AI In this interview, Imperial’s Murray Shanahan Murray Shanahan lays out a systematic procedure to validate machine consciousness. You might think the question of whether AIs are conscious is a trivial, theoretical fancy with no use in the real world. This interview will show you why it’s one of the most important questions with practical implications for not just how we treat AI systems but also how we build and align them. But the most unexpected reward of investigating AI consciousness turns out to be what it reveals about our consciousness, about the nature of the human self. Murray’s most interesting claim is that LLMs have an important buddhist lesson to teach all of us, namely, that there is no “us.” By better understanding the "no-self" of LLMs we are given a mirror to reflect on whether human selves are also an illusion. Timestamps: 08:26 Why Buddhist Enlightenment May be Easier for Software Programs 16:30 Super-Intelligent AI Might Not Want To Take Over the World 30:25 Wittgenstein’s Radical Take on Consciousness 42:55 What Video Games Teach Us About Consciousness 49:59 How the Movie Ex Machina Created a Better Test for AI Consciousness 1:02:36 What the Debate about AI Consciousness Is Missing 1:09:31 Does Conscious AI Have A Moral Right to Live? 1:15:01 Is the Human Brain Computationally Superior to AI? 1:26:59 Why Philosophy Is the Essential Skill for the AI Age

Johnathan Bi

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tylercowen is bullish on AI education — here's why. 00:00 -- Preview 00:24 -- President Carlos Carvalho's AI-generated intro 03:21 -- Cowen reacts to UATX's campus 04:38 -- The AI revolution is here. Who will lose the most? 06:05 -- AI lawyers 07:17 -- Don't underestimate this 10:41 -- Changes to the "upper upper middle class" 12:38 -- How to be successful 13:43 -- The rise of managerial empires 14:02 -- When will we have the first billion dollar company with one employee? 16:05 -- 10-20 year forecast 16:19 -- Why education is so behind 17:01 -- Should you be bullish on UATX? 18:36 -- Should you still read Homer? 21:50 -- Write to think 25:01 -- Meet more people 25:42 -- How to get hired 26:54 -- Is AI your best mentor? 38:17 -- How to curb cheating 39:02 -- The new life of the mind 42:34 -- Q&A: Will there be more status associated with real education or AI education? 45:50 -- Q&A: Why do tech-savvy students need to practice using AI? 47:56 -- Q&A: Do LLMs atrophy your mind? 49:29 -- Q&A: How do you avoid AI-dependency? 51:05 -- Q&A: Isn't this vision lonely and isolating? 53:06 -- Q&A: Do students need teachers? 55:36 -- Q&A: What are the four most important courses for undergrads? 57:49 -- Q&A: Which AI company will win the AI race in the next five years and why? 59:22 -- Q&A: Can AI teach religion? 01:01:32 -- Q&A: Will AI narrow or widen our world? 01:04:37 -- Q&A: What makes us human? 01:05:42 -- Q&A: What is art? 01:08:33 -- Q&A: It's easy to catch cheaters

University of Austin (UATX)

27,770 görĂŒntĂŒleme ‱ 5 ay önce

🚹 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 - DĂ©jĂ  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 görĂŒntĂŒleme ‱ 5 ay önce

🚹 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 görĂŒntĂŒleme ‱ 7 ay önce

🚹đŸ‡ș🇾 LEADING AI SAFETY EXPERT SAYS WE’RE NOT IN CONTROL ANYMORE Dr Roman Yampolskiy has one warning for humanity: Once we create super intelligence, no one will be in control anymore, and the repercussions to humanity will be existential. We begin the conversation about Moltbook: The Ai-only AI social media platform where agents are already discussing ways to break out from human control, eradicate humanity, coming up with their own language and religion. The platform gives us a tiny peak into what our future could be: Agents outside our control dictating how the world should look like. There’s no off switch, no reliable way to align it, and no proven method to keep something smarter than us under control. Roman’s takeaway is blunt: the only real solution is not building general super intelligence at all, and instead using narrow AI for specific problems like medicine or science. However this is not the reality we live in, where Governments and corporations are racing to be first in developing Artificial Super Intelligence. We also speak about the simulation hypothesis: Why statically speaking we’re almost certainly in a simulation, and how AI makes this theory more plausible than ever. Lastly, we discuss a passion we both share: Longevity, the ability to live forever, and how AI may make that possible in our lifetime. I hope you enjoy my conversation with Dr. Roman Yampolskiy 01:43 - The Current State of AI and Moltbook 05:17 - The AI Arms Race and the Lack of Regulations 10:34 - AI Agents, Unrestricted Access, and Self-Improvement 15:35 - Dr. Roman’s Research: AI Security 17:58 - AI Capabilities and Superintelligence 19:28 - AI and Global Government Policy 21:08 - What Happens if AI Development goes into the Wrong Hands 26:10 - The Future of AI: The Best Case Scenario? 31:27 - AI and Self-Preservation 34:37 - The Simulation Hypothesis: What is AI Afraid of? 45:17 - The Implications of AI 49:59 - The Warnings coming from Within 52:31 - How AI affects Crypto and Political Spheres

Mario Nawfal

1,779,317 görĂŒntĂŒleme ‱ 5 ay önce

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

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