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AI Expert’s Chilling Warning About Super-intelligence - 99.9999% Chance Human Extinction | Dr. Roman Yampolskiy (0:00) Will AI Destroy Humanity in 10 Years? (10:16) Does Iran Have Nuclear Weapons? (21:20) Social Engineering & Propaganda (28:36) AI-Driven Unemployment (54:37) Do AI Models Have Governors? (1:02:34) The Rise of Superintelligence (1:28:10)... show more

PBD Podcast

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16,464 views • 9 days ago •via X (Twitter)

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MR SHIFT 🦁

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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

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Good Game

38,567 views • 1 year ago

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

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Raoul Pal

336,900 views • 1 year ago

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.Satya Nadella on: - why he doesn’t believe in AGI but does believe in 10% economic growth - Microsoft’s new topological qubit breakthrough and gaming world models - whether Office commoditizes LLMs or the other way around Links below. Enjoy! Timestamps 0:00:00 - Intro 0:05:48 - AI won't be winner-take-all 0:16:02 - World economy growing by 10% 0:22:23 - Decreasing price of intelligence 0:31:03 - Microsoft's Quantum breakthrough 0:43:35 - Microsoft's gaming world model 0:50:35 - Legal barriers to AI 0:56:30 - Getting AGI safety right 1:05:43 - 34 years at Microsoft 1:11:31 - Does Satya Nadella believe in AGI?

.Satya Nadella on: - why he doesn’t believe in AGI but does believe in 10% economic growth - Microsoft’s new topological qubit breakthrough and gaming world models - whether Office commoditizes LLMs or the other way around Links below. Enjoy! Timestamps 0:00:00 - Intro 0:05:48 - AI won't be winner-take-all 0:16:02 - World economy growing by 10% 0:22:23 - Decreasing price of intelligence 0:31:03 - Microsoft's Quantum breakthrough 0:43:35 - Microsoft's gaming world model 0:50:35 - Legal barriers to AI 0:56:30 - Getting AGI safety right 1:05:43 - 34 years at Microsoft 1:11:31 - Does Satya Nadella believe in AGI?

Dwarkesh Patel

2,264,372 views • 1 year ago

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Lex Fridman

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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?”

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

380,725 views • 2 years ago

🚨🇺🇸 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

🚨🇺🇸 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

1,779,641 views • 7 months ago

Can AI truly understand concepts, or is it just processing data? 🤖 Join Hannah Fry as she discusses this and more with our Principal Scientist Murray Shanahan. They break down the meaning of consciousness and explore how it might – or might not – apply to AI, as well as exploring the anthropomorphism of multimodal models. Watch our podcast now ↓ Timestamps: 00:00 Introduction 02:00 Ex Machina 03:28 John McCarthy & Coining "AI" 05:45 Symbolic AI 09:43 AI Reasoning 14:42 Turing Test 18:10 Alternative Tests 21:58 Anthropomorphism 26:42 Embodied AI 28:17 AI Consciousness 34:00 Octopus Analogy 37:48 Prompt Engineering 39:40 Exotic Mind-Like Entities 40:44 Conclusion

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Google DeepMind

292,685 views • 1 year ago

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Lex Fridman

1,262,904 views • 1 year ago

Here's my conversation with DHH. He is back for round 2! It was an epic fun 5 hour conversation about the future of programming, AI, Linux, and human civilization. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:27 - Introduction 2:56 - Programming with AI agents 18:14 - How software will change 27:30 - AI impact on open source 37:21 - Building Omarchy Linux distro 47:05 - Vibe coding vs agentic engineering 1:00:06 - The end of manual programming 1:10:24 - Advice for programmers 1:22:30 - Surviving Internet Hate 1:31:46 - Programming setup for AI Agents 1:44:11 - Obsessing about speed 2:07:06 - Voice prompting vs typing 2:21:05 - Best AI coding models 2:37:55 - Best AI coding harnesses 2:50:57 - AI video generation and filmmaking 3:10:28 - Fatherhood 3:38:35 - Linux will win the desktop 3:49:51 - PewDiePie 3:59:24 - Future of programming 4:22:17 - Politics and immigration 4:53:54 - Longevity, over-optimization, and fear of death 5:05:38 - Eternal recurrence and future of human civization

Here's my conversation with DHH. He is back for round 2! It was an epic fun 5 hour conversation about the future of programming, AI, Linux, and human civilization. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:27 - Introduction 2:56 - Programming with AI agents 18:14 - How software will change 27:30 - AI impact on open source 37:21 - Building Omarchy Linux distro 47:05 - Vibe coding vs agentic engineering 1:00:06 - The end of manual programming 1:10:24 - Advice for programmers 1:22:30 - Surviving Internet Hate 1:31:46 - Programming setup for AI Agents 1:44:11 - Obsessing about speed 2:07:06 - Voice prompting vs typing 2:21:05 - Best AI coding models 2:37:55 - Best AI coding harnesses 2:50:57 - AI video generation and filmmaking 3:10:28 - Fatherhood 3:38:35 - Linux will win the desktop 3:49:51 - PewDiePie 3:59:24 - Future of programming 4:22:17 - Politics and immigration 4:53:54 - Longevity, over-optimization, and fear of death 5:05:38 - Eternal recurrence and future of human civization

Lex Fridman

810,326 views • 9 days ago

Superintelligence or bust. Dylan Patel (Dylan Patel) breaks down the AI arms race. Meta, OpenAI, Apple, NVIDIA, xAI, Microsoft...we cover it all. Full interview below 👇 0:00 - Intro 1:15 - Meta’s llama struggles 6:20 - ScaleAI acquisition and $100m offers 15:32 - OpenAI’s relationship with Microsoft 22:28 - GPT4.5, what went wrong? 28:43 - Apple’s AI blunders 31:07 - Apple vs. NVIDIA Beef 33:43 - On-device vs. Cloud AI 39:39 - NVIDIA vs. AMD 48:47 - Grok and xAI 52:49 - Grok 3.5 54:16 - AI and Job Loss 1:00:59 - Who wins Super Intelligence race?

Superintelligence or bust. Dylan Patel (Dylan Patel) breaks down the AI arms race. Meta, OpenAI, Apple, NVIDIA, xAI, Microsoft...we cover it all. Full interview below 👇 0:00 - Intro 1:15 - Meta’s llama struggles 6:20 - ScaleAI acquisition and $100m offers 15:32 - OpenAI’s relationship with Microsoft 22:28 - GPT4.5, what went wrong? 28:43 - Apple’s AI blunders 31:07 - Apple vs. NVIDIA Beef 33:43 - On-device vs. Cloud AI 39:39 - NVIDIA vs. AMD 48:47 - Grok and xAI 52:49 - Grok 3.5 54:16 - AI and Job Loss 1:00:59 - Who wins Super Intelligence race?

Matthew Berman

152,595 views • 1 year ago

PGX Ideas with Aravind Srinivas, Co-founder and CEO of Perplexity - What does it mean to be intelligent? Why humans wonder. Why we create. Whether AI understands anything at all or is it merely mimicking intelligence. And the deeper questions that follow from that. We spoke about emergence, India’s competitive culture, China, behaviorism, memory, learning, hardware, and the question of where this all leads. The AI Hindi-dubbed version of this episode is also attached in this thread. Enjoy. Timestamps 00:00 - How did Aravind get into AI? 13:05 - India’s competitive culture 15:05 - Talent problem or system failure? 16:25 - How can India evolve? 17:45 - China’s approach to research 21:02 - What’s cutting-edge in AI today? 25:02 - What creates value in an economy? 28:45 - What is the internet built on? 32:48 - Can AI assist humans? 35:25 - Why do humans wonder? 37:25 - Why do humans create? 40:50 - Does memory still matter? 43:15 - Does curiosity create knowledge? 45:40 - Biological vs artificial intelligence 51:24 - Is curiosity uniquely human? 58:55 - Can AI shape human thinking? 1:05:24 - Do we understand intelligence? 1:10:50 - Meaning beyond behaviorism 1:21:48 - How do kids learn to learn? 1:25:43 - Why is hardware innovation hard? 1:31:19 - Can AI feel? 1:47:35 - Questions for me

PGX Ideas with Aravind Srinivas, Co-founder and CEO of Perplexity - What does it mean to be intelligent? Why humans wonder. Why we create. Whether AI understands anything at all or is it merely mimicking intelligence. And the deeper questions that follow from that. We spoke about emergence, India’s competitive culture, China, behaviorism, memory, learning, hardware, and the question of where this all leads. The AI Hindi-dubbed version of this episode is also attached in this thread. Enjoy. Timestamps 00:00 - How did Aravind get into AI? 13:05 - India’s competitive culture 15:05 - Talent problem or system failure? 16:25 - How can India evolve? 17:45 - China’s approach to research 21:02 - What’s cutting-edge in AI today? 25:02 - What creates value in an economy? 28:45 - What is the internet built on? 32:48 - Can AI assist humans? 35:25 - Why do humans wonder? 37:25 - Why do humans create? 40:50 - Does memory still matter? 43:15 - Does curiosity create knowledge? 45:40 - Biological vs artificial intelligence 51:24 - Is curiosity uniquely human? 58:55 - Can AI shape human thinking? 1:05:24 - Do we understand intelligence? 1:10:50 - Meaning beyond behaviorism 1:21:48 - How do kids learn to learn? 1:25:43 - Why is hardware innovation hard? 1:31:19 - Can AI feel? 1:47:35 - Questions for me

Prakhar Gupta

32,033 views • 8 months ago

NEW EP: Why AGI Will Happen This Decade with Emad Mostaque The AI revolution is here, but *actually* who controls the intelligence we'll all rely on? In today's episode, & Wayne Sim sit down with Emad of Intelligent Internet to cover: > Who Controls AI? > The Ghibli Effect by ChatGPT-4o > Why Most AI Models Are Inefficient > Universal Basic Intelligence > AI Atlantis: Economic Disruption & Rebirth > Credibly Neutral AI Infrastructure Full episode links below. Timestamps: 00:00 Intro 00:56 Mantle Ad 01:37 Ghibli AI Use 04:50 Replacing Humans with AI? 05:21 Artificial Remote Intelligence 10:14 Emad’s Opinion on Better AI Models 12:25 Concentration of Power with AI? 16:34 Training AI Models 20:46 Compute Demand Collapse? 27:00 Abundance of Open Source AI 30:04 Shift Towards Specialized Models 34:05 RedStone Ad 34:18 Frax Ad 34:44 Approaching Biases in AI 45:16 End of Original Thoughts? 50:30 Intelligent Internet & Reinforced Learning 59:07 Coordinating Incentives

NEW EP: Why AGI Will Happen This Decade with Emad Mostaque The AI revolution is here, but actually who controls the intelligence we'll all rely on? In today's episode, & Wayne Sim sit down with Emad of Intelligent Internet to cover: > Who Controls AI? > The Ghibli Effect by ChatGPT-4o > Why Most AI Models Are Inefficient > Universal Basic Intelligence > AI Atlantis: Economic Disruption & Rebirth > Credibly Neutral AI Infrastructure Full episode links below. Timestamps: 00:00 Intro 00:56 Mantle Ad 01:37 Ghibli AI Use 04:50 Replacing Humans with AI? 05:21 Artificial Remote Intelligence 10:14 Emad’s Opinion on Better AI Models 12:25 Concentration of Power with AI? 16:34 Training AI Models 20:46 Compute Demand Collapse? 27:00 Abundance of Open Source AI 30:04 Shift Towards Specialized Models 34:05 RedStone Ad 34:18 Frax Ad 34:44 Approaching Biases in AI 45:16 End of Original Thoughts? 50:30 Intelligent Internet & Reinforced Learning 59:07 Coordinating Incentives

The Rollup

32,804 views • 1 year 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 ↓

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

Here's my conversation with Yann LeCun (Yann LeCun) about AI, importance of open source, limits of LLMs, why AI doomers are wrong, and the path to AGI. This was a fun and fascinating technical conversation! It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:18 - Limits of LLMs 13:54 - Bilingualism and thinking 17:46 - Video prediction 25:07 - JEPA (Joint-Embedding Predictive Architecture) 28:15 - JEPA vs LLMs 37:31 - DINO and I-JEPA 38:51 - V-JEPA 44:22 - Hierarchical planning 50:40 - Autoregressive LLMs 1:06:06 - AI hallucination 1:11:30 - Reasoning in AI 1:29:02 - Reinforcement learning 1:34:10 - Woke AI 1:43:48 - Open source 1:47:26 - AI and ideology 1:49:58 - Marc Andreesen 1:57:56 - Llama 3 2:04:20 - AGI 2:08:48 - AI doomers 2:24:38 - Joscha Bach 2:28:51 - Humanoid robots 2:38:00 - Hope for the future

Here's my conversation with Yann LeCun (Yann LeCun) about AI, importance of open source, limits of LLMs, why AI doomers are wrong, and the path to AGI. This was a fun and fascinating technical conversation! It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:18 - Limits of LLMs 13:54 - Bilingualism and thinking 17:46 - Video prediction 25:07 - JEPA (Joint-Embedding Predictive Architecture) 28:15 - JEPA vs LLMs 37:31 - DINO and I-JEPA 38:51 - V-JEPA 44:22 - Hierarchical planning 50:40 - Autoregressive LLMs 1:06:06 - AI hallucination 1:11:30 - Reasoning in AI 1:29:02 - Reinforcement learning 1:34:10 - Woke AI 1:43:48 - Open source 1:47:26 - AI and ideology 1:49:58 - Marc Andreesen 1:57:56 - Llama 3 2:04:20 - AGI 2:08:48 - AI doomers 2:24:38 - Joscha Bach 2:28:51 - Humanoid robots 2:38:00 - Hope for the future

Lex Fridman

1,022,504 views • 2 years ago