Загрузка видео...

Не удалось загрузить видео

На главную

We’re using AI to work on root node problems – fundamental scientific challenges that unlock societal benefits. 🧪 From fusion and superconductors to entirely new materials, our CEO Demis Hassabis discusses what comes next after #AlphaFold – all on our podcast with Hannah Fry. ↓ Timecodes: 01:42 2025 progress...

GoogleDeepMind's profile picture

Google DeepMind

1,487,517 subscribers

406,218 просмотров • 8 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологии#AlphaFold
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

We're developing and using AI to revolutionize scientific discovery - from predicting protein structures with #AlphaFold, to materials discovery with GNoME. Join our VP Science, Pushmeet Kohli, and Professor Hannah Fry as they explore how AI could lead to a new era of breakthroughs that could benefit humanity in countless ways, on Google DeepMind: The Podcast. Watch now ↓ Timestamps: 00:00 Intro 01:13 AlphaFold 06:13 AlphaFold Database 08:14 Weather forecasting 11:24 Creating new materials with deep learning 25:10 Imposter syndrome, being a generalist, and Nobel prize winners 31:21 Choosing the right projects 32:07 Root node problems 34:32 Large language models for science 36:06 Function search and algorithmic discovery 42:10 Math Olympiad 46:26 What’s coming next 48:35 Reflections from Hannah
50:05

We're developing and using AI to revolutionize scientific discovery - from predicting protein structures with #AlphaFold, to materials discovery with GNoME. Join our VP Science, Pushmeet Kohli, and Professor Hannah Fry as they explore how AI could lead to a new era of breakthroughs that could benefit humanity in countless ways, on Google DeepMind: The Podcast. Watch now ↓ Timestamps: 00:00 Intro 01:13 AlphaFold 06:13 AlphaFold Database 08:14 Weather forecasting 11:24 Creating new materials with deep learning 25:10 Imposter syndrome, being a generalist, and Nobel prize winners 31:21 Choosing the right projects 32:07 Root node problems 34:32 Large language models for science 36:06 Function search and algorithmic discovery 42:10 Math Olympiad 46:26 What’s coming next 48:35 Reflections from Hannah

Google DeepMind

197,357 просмотров • 1 год назад

Join our VP (Drastic) Research, Gemini co-Tech Lead Oriol Vinyals and our podcast host Hannah Fry as they discuss the evolution of our AI models, from AlphaGo to Gemini. They also cover agentic capabilities and why giving AI access to tools could lead to a new era of problem-solving. Listen now ↓ Timecodes: 00:00 Intro 02:30 Games and early AI agents 04:28 Weights 09:27 Architectures and a digital brain 10:24 Agentic behaviour 13:31 Digital body 14:09 Scaling 19:02 Data 20:59 Complex understanding and knowledge 25:14 Post training challenges 30:43 Reasoning 33:11 Planning 34:19 Systems 2 37:00 Memory 40:54 Gemini and agentic capabilities
51:56

Join our VP (Drastic) Research, Gemini co-Tech Lead Oriol Vinyals and our podcast host Hannah Fry as they discuss the evolution of our AI models, from AlphaGo to Gemini. They also cover agentic capabilities and why giving AI access to tools could lead to a new era of problem-solving. Listen now ↓ Timecodes: 00:00 Intro 02:30 Games and early AI agents 04:28 Weights 09:27 Architectures and a digital brain 10:24 Agentic behaviour 13:31 Digital body 14:09 Scaling 19:02 Data 20:59 Complex understanding and knowledge 25:14 Post training challenges 30:43 Reasoning 33:11 Planning 34:19 Systems 2 37:00 Memory 40:54 Gemini and agentic capabilities

Google DeepMind

57,351 просмотров • 1 год назад

What does it take to build AI for scientific discovery? 🧠 To celebrate 10 years of AlphaGo, Thore Graepel and Pushmeet Kohli joined Hannah Fry on our podcast to discuss how mastering games has paved the way for it to help solve more complex problems. ↓ 00:00 The AlphaGo match 02:15 Why Go? 10:58 Lee Sedol vs AlphaGo 14:58 Move 37 20:55 Move 78 24:38 Reaction from the Go community 30:45 Never before seen footage 32:05 AlphaGo to protein folding 34:00 Matrix multiplication 38:00 AlphaGo and algorithmic discovery 41:40 How to verify new discoveries 47:38 Role of mathematicians 51:43 Would we be here without AlphaGo?
53:47

What does it take to build AI for scientific discovery? 🧠 To celebrate 10 years of AlphaGo, Thore Graepel and Pushmeet Kohli joined Hannah Fry on our podcast to discuss how mastering games has paved the way for it to help solve more complex problems. ↓ 00:00 The AlphaGo match 02:15 Why Go? 10:58 Lee Sedol vs AlphaGo 14:58 Move 37 20:55 Move 78 24:38 Reaction from the Go community 30:45 Never before seen footage 32:05 AlphaGo to protein folding 34:00 Matrix multiplication 38:00 AlphaGo and algorithmic discovery 41:40 How to verify new discoveries 47:38 Role of mathematicians 51:43 Would we be here without AlphaGo?

Google DeepMind

111,651 просмотров • 5 месяцев назад

Nikhil Kamath Interviews Elon Podcast timestamps: 00:00:44 – Intro & banter 00:02:31 – X user stats & video future 00:05:07 – Twitter’s past political bias 00:07:30 – X as global town square 00:10:13 – Meaning of life & consciousness 00:17:36 – Spirituality vs physics 00:18:35 – Investing principles 00:20:30 – Company convergence & Optimus 00:23:23 – Starlink technology 00:29:06 – Urbanization & universal high income 00:30:51 – Future of work & post-scarcity 00:36:07 – Why everything is “X” 00:42:24 – Future of money & energy currency 00:47:00 – Debt, deflation & AI impact 00:51:17 – Simulation theory 00:56:43 – Morality without religion 01:06:35 – Having kids & population decline 01:12:32 – College & future of education 01:15:03 – AI values & truth-seeking 01:23:44 – Future of content & live events 01:26:03 – Stock picks (non-Tesla) 01:30:05 – Humor & comedy 01:37:44 – Nietzsche & philosophy 01:39:14 – Tariffs & free trade 01:43:22 – DOGE & government waste 01:48:04 – Immigration & H1B visas 01:51:24 – Final message to India
1:54:13

Nikhil Kamath Interviews Elon Podcast timestamps: 00:00:44 – Intro & banter 00:02:31 – X user stats & video future 00:05:07 – Twitter’s past political bias 00:07:30 – X as global town square 00:10:13 – Meaning of life & consciousness 00:17:36 – Spirituality vs physics 00:18:35 – Investing principles 00:20:30 – Company convergence & Optimus 00:23:23 – Starlink technology 00:29:06 – Urbanization & universal high income 00:30:51 – Future of work & post-scarcity 00:36:07 – Why everything is “X” 00:42:24 – Future of money & energy currency 00:47:00 – Debt, deflation & AI impact 00:51:17 – Simulation theory 00:56:43 – Morality without religion 01:06:35 – Having kids & population decline 01:12:32 – College & future of education 01:15:03 – AI values & truth-seeking 01:23:44 – Future of content & live events 01:26:03 – Stock picks (non-Tesla) 01:30:05 – Humor & comedy 01:37:44 – Nietzsche & philosophy 01:39:14 – Tariffs & free trade 01:43:22 – DOGE & government waste 01:48:04 – Immigration & H1B visas 01:51:24 – Final message to India

X Freeze

12,301 просмотров • 8 месяцев назад

Our Distinguished Scientist John Jumper dropped out of his first PhD, but it led him to AI and biology – and a new doctorate along the way. 🧪 He shares his journey from helping develop #AlphaFold and being awarded the The Nobel Prize to accelerating science with AI – all on our podcast ↓ Timecodes: 00:00 Intro 02:06 The Nobel Prize call 06:35 The "Grand Challenge" breakthrough 09:42 Reactions from the community 12:48 Unexpected use cases 16:04 AlphaFold 3 and diffusion models 26:54 Roman aqueducts 33:46 Designing new proteins 40:40 Does AI think? 46:51 Hannah's outro
48:24

Our Distinguished Scientist John Jumper dropped out of his first PhD, but it led him to AI and biology – and a new doctorate along the way. 🧪 He shares his journey from helping develop #AlphaFold and being awarded the The Nobel Prize to accelerating science with AI – all on our podcast ↓ Timecodes: 00:00 Intro 02:06 The Nobel Prize call 06:35 The "Grand Challenge" breakthrough 09:42 Reactions from the community 12:48 Unexpected use cases 16:04 AlphaFold 3 and diffusion models 26:54 Roman aqueducts 33:46 Designing new proteins 40:40 Does AI think? 46:51 Hannah's outro

Google DeepMind

137,202 просмотров • 8 месяцев назад

Demis Hassabis (Demis Hassabis) has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads Google DeepMind, pushing toward the same goal he set as a teenager: AGI. On this special live episode of How to Build the Future, he sat down with YC's Garry Tan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve, and what the next big scientific breakthroughs might be. 01:48 — What’s Missing Before We Get To AGI? 03:36 — Why Memory Is Still Unsolved 06:14 — How AlphaGo Shaped Gemini 08:06 — Why Smaller Models Are Getting So Powerful 10:46 — The 1000x Engineer 12:40 — Continual Learning and the Future of Agents 13:32 — Why AI Still Fails at Basic Reasoning 15:33 — Are Agents Overhyped or Just Getting Started? 18:31 — Can AI Become Truly Creative? 20:26 — Open Models, Gemma, and Local AI 22:26 — Why Gemini Was Built Multimodal 24:08 — What Happens When Inference Gets Cheap? 25:24 — From AlphaFold to the Virtual Cells 28:24 — AI as the Ultimate Tool for Science 30:43 — Advice for Founders 33:30 — The AlphaFold Breakthrough Pattern 35:20 — Can AI Make Real Scientific Discoveries? 37:59 — What to Build Before AGI Arrives
40:56

Demis Hassabis (Demis Hassabis) has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads Google DeepMind, pushing toward the same goal he set as a teenager: AGI. On this special live episode of How to Build the Future, he sat down with YC's Garry Tan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve, and what the next big scientific breakthroughs might be. 01:48 — What’s Missing Before We Get To AGI? 03:36 — Why Memory Is Still Unsolved 06:14 — How AlphaGo Shaped Gemini 08:06 — Why Smaller Models Are Getting So Powerful 10:46 — The 1000x Engineer 12:40 — Continual Learning and the Future of Agents 13:32 — Why AI Still Fails at Basic Reasoning 15:33 — Are Agents Overhyped or Just Getting Started? 18:31 — Can AI Become Truly Creative? 20:26 — Open Models, Gemma, and Local AI 22:26 — Why Gemini Was Built Multimodal 24:08 — What Happens When Inference Gets Cheap? 25:24 — From AlphaFold to the Virtual Cells 28:24 — AI as the Ultimate Tool for Science 30:43 — Advice for Founders 33:30 — The AlphaFold Breakthrough Pattern 35:20 — Can AI Make Real Scientific Discoveries? 37:59 — What to Build Before AGI Arrives

Y Combinator

360,550 просмотров • 3 месяцев назад

I'm joined on Complex Systems this week by Clara Collier, editor and publisher of Asterisk Magazine, to discuss the production function of print journalism/commentary, why our institutions have taken lumps recently and how to hopefully restore public trust, and the German roots of the research university. (00:00) Introduction: Bending towards truth (01:34) What is Asterisk Magazine? (03:47) Challenges of print media (05:31) The media landscape and Twitter's influence (07:21) Editing and copywriting in modern media (16:56) The role of style guides (26:14) AI in writing and editing (31:54) The origins of research universities (35:05) Challenges in academic promotions (37:17) Global influence of German universities (41:02) American vs. German university systems (41:39) Post-war scientific organization (43:31) The role of research universities today (46:08) Science communication and public trust (57:12) Vaccine hesitancy and institutional trust (01:07:32) Historical context of medical trust (01:12:05) Wrap
1:12:59

I'm joined on Complex Systems this week by Clara Collier, editor and publisher of Asterisk Magazine, to discuss the production function of print journalism/commentary, why our institutions have taken lumps recently and how to hopefully restore public trust, and the German roots of the research university. (00:00) Introduction: Bending towards truth (01:34) What is Asterisk Magazine? (03:47) Challenges of print media (05:31) The media landscape and Twitter's influence (07:21) Editing and copywriting in modern media (16:56) The role of style guides (26:14) AI in writing and editing (31:54) The origins of research universities (35:05) Challenges in academic promotions (37:17) Global influence of German universities (41:02) American vs. German university systems (41:39) Post-war scientific organization (43:31) The role of research universities today (46:08) Science communication and public trust (57:12) Vaccine hesitancy and institutional trust (01:07:32) Historical context of medical trust (01:12:05) Wrap

Patrick McKenzie

16,982 просмотров • 10 месяцев назад

"I will no longer make an investment that doesn't touch AI." — Sam Lehman Rish (AI Solana) and Sam Lehman (AI Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the convergence of AI and crypto: - $211B in AI investments - How Solana leverages AI - Private AI (FHE/TEE/ZK) — the enterprise killer app - We're in an LLM bubble, not an AI bubble - Agent-to-agent + micropayments = new economy 00:53 AI and Crypto: The $211B Gap 01:42 Crypto Improving AI & AI Improving Crypto 02:57 UX Transformed With AI 04:36 AI Co-Pilots: Trading Screens Dead? 08:38 How Solana Uses AI 10:23 Smart Contract Engineering with AI: Code & Audits 12:47 Private AI with ZK 1 4:14 Onboarding Consumers with AI UX 16:22 Stablecoins vs Web2 Fintech 17:30 x402 Unlocking Micropayments 31:39 AI Winner: OpenAI, Google, AlphaGo & AlphaZero? 33:07 Is Continual Learning Important In AI Age? 35:03 LLM Bubble vs AI Bubble 36:43 AI Valuations Pricing In Novelty 38:47 Converging Crypto and AI 43:37 OpenAI or Anthropic IPO in 2026? 43:57 First AI x Crypto App at $5B Valuation?
44:23

"I will no longer make an investment that doesn't touch AI." — Sam Lehman Rish (AI Solana) and Sam Lehman (AI Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the convergence of AI and crypto: - $211B in AI investments - How Solana leverages AI - Private AI (FHE/TEE/ZK) — the enterprise killer app - We're in an LLM bubble, not an AI bubble - Agent-to-agent + micropayments = new economy 00:53 AI and Crypto: The $211B Gap 01:42 Crypto Improving AI & AI Improving Crypto 02:57 UX Transformed With AI 04:36 AI Co-Pilots: Trading Screens Dead? 08:38 How Solana Uses AI 10:23 Smart Contract Engineering with AI: Code & Audits 12:47 Private AI with ZK 1 4:14 Onboarding Consumers with AI UX 16:22 Stablecoins vs Web2 Fintech 17:30 x402 Unlocking Micropayments 31:39 AI Winner: OpenAI, Google, AlphaGo & AlphaZero? 33:07 Is Continual Learning Important In AI Age? 35:03 LLM Bubble vs AI Bubble 36:43 AI Valuations Pricing In Novelty 38:47 Converging Crypto and AI 43:37 OpenAI or Anthropic IPO in 2026? 43:57 First AI x Crypto App at $5B Valuation?

Pantera Capital

17,201 просмотров • 6 месяцев назад

"Aging is the process of a complex system slowly falling into its chaotic disequilibrium. And it's not like evolution necessarily even set a lifespan for us. It is merely the result of, once the system has been established, how long its intrinsic property stayed ordered before it became disordered." I’m excited to share my conversation with Jacob Kimmel of NewLimit. Every species who has ever lived has one shared certainty: we’ll age, decay, and die. Jacob and his team are among the small group of people on earth with the expertise and funding to work on this problem. We talked about why we age, whether cellular aging can actually be reversed, how evolution shaped our lifespan and our peaks, and how AI is fundamentally changing the next era of science. Recorded at New Limit’s HQ in South San Francisco. Timestamps: 00:00 Intro 01:25 Why Evolution Limits Lifespan 03:13 Evolution Tradeoffs Explained 07:44 Why Women Live Longer 10:15 Lessons from Long Lived Species 16:20 Peak Intelligence 23:26 What is Aging? 27:59 Yamanaka Factors 32:18 New Limit 33:56 AI's Role in Progress 37:28 Organ by Organ Longevity 40:28 Is Immortality Possible? 42:04 Lifespan Progress 45:44 How to Test Longevity Drugs 49:30 Placebo Mind Body Link 53:56 What longevity hacks actually work? 57:25 Peptides And Stem Cells 01:00:34 Gene Editing 01:05:10 Personalized Medicine 01:08:48 Philosophical Dilemmas of Longer Lifespans 01:14:57 Living Off Earth 01:16:55 AI And Bio Risks
1:23:37

"Aging is the process of a complex system slowly falling into its chaotic disequilibrium. And it's not like evolution necessarily even set a lifespan for us. It is merely the result of, once the system has been established, how long its intrinsic property stayed ordered before it became disordered." I’m excited to share my conversation with Jacob Kimmel of NewLimit. Every species who has ever lived has one shared certainty: we’ll age, decay, and die. Jacob and his team are among the small group of people on earth with the expertise and funding to work on this problem. We talked about why we age, whether cellular aging can actually be reversed, how evolution shaped our lifespan and our peaks, and how AI is fundamentally changing the next era of science. Recorded at New Limit’s HQ in South San Francisco. Timestamps: 00:00 Intro 01:25 Why Evolution Limits Lifespan 03:13 Evolution Tradeoffs Explained 07:44 Why Women Live Longer 10:15 Lessons from Long Lived Species 16:20 Peak Intelligence 23:26 What is Aging? 27:59 Yamanaka Factors 32:18 New Limit 33:56 AI's Role in Progress 37:28 Organ by Organ Longevity 40:28 Is Immortality Possible? 42:04 Lifespan Progress 45:44 How to Test Longevity Drugs 49:30 Placebo Mind Body Link 53:56 What longevity hacks actually work? 57:25 Peptides And Stem Cells 01:00:34 Gene Editing 01:05:10 Personalized Medicine 01:08:48 Philosophical Dilemmas of Longer Lifespans 01:14:57 Living Off Earth 01:16:55 AI And Bio Risks

Sabrina Halper

20,401 просмотров • 1 месяц назад

Here's my conversation with Terence Tao, one of the greatest mathematicians in history. We talk about the hardest problems in mathematics & physics, and how AI might help us humans to solve them. This conversation was a huge honor for me. I can't quite put it into words, but once again I'm grateful for whatever simulation code resulted in me having the life I do 🙏 To further confirm simulation, podcast length accidentally turned out to be 3:14 (pi=3.141592). But it's not 3:14:15, because the simulation code has some bugs 🤣 Podcast is here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:49 - First hard problem 6:16 - Navier–Stokes singularity 26:26 - Game of life 33:01 - Infinity 38:07 - Math vs Physics 44:26 - Nature of reality 1:07:09 - Theory of everything 1:13:10 - General relativity 1:16:37 - Solving difficult problems 1:20:01 - AI-assisted theorem proving 1:32:51 - Lean programming language 1:42:51 - DeepMind's AlphaProof 1:47:45 - Human mathematicians vs AI 1:57:37 - AI winning the Fields Medal 2:04:47 - Grigori Perelman 2:17:30 - Twin Prime Conjecture 2:34:04 - Collatz conjecture 2:40:50 - P = NP 2:43:43 - Fields Medal 2:51:18 - Andrew Wiles and Fermat's Last Theorem 2:55:16 - Productivity 2:57:55 - Advice for young people 3:06:17 - The greatest mathematician of all time
3:14:33

Here's my conversation with Terence Tao, one of the greatest mathematicians in history. We talk about the hardest problems in mathematics & physics, and how AI might help us humans to solve them. This conversation was a huge honor for me. I can't quite put it into words, but once again I'm grateful for whatever simulation code resulted in me having the life I do 🙏 To further confirm simulation, podcast length accidentally turned out to be 3:14 (pi=3.141592). But it's not 3:14:15, because the simulation code has some bugs 🤣 Podcast is here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:49 - First hard problem 6:16 - Navier–Stokes singularity 26:26 - Game of life 33:01 - Infinity 38:07 - Math vs Physics 44:26 - Nature of reality 1:07:09 - Theory of everything 1:13:10 - General relativity 1:16:37 - Solving difficult problems 1:20:01 - AI-assisted theorem proving 1:32:51 - Lean programming language 1:42:51 - DeepMind's AlphaProof 1:47:45 - Human mathematicians vs AI 1:57:37 - AI winning the Fields Medal 2:04:47 - Grigori Perelman 2:17:30 - Twin Prime Conjecture 2:34:04 - Collatz conjecture 2:40:50 - P = NP 2:43:43 - Fields Medal 2:51:18 - Andrew Wiles and Fermat's Last Theorem 2:55:16 - Productivity 2:57:55 - Advice for young people 3:06:17 - The greatest mathematician of all time

Lex Fridman

1,230,941 просмотров • 1 год назад

New podcast with Garry Tan, farbood and Daniel Francis. Live in the Future! 00:00 Guest Intros 02:35 Live in the Future 03:58 Will AI Outsmart us? 07:43 In the Anthropic Breadline 09:59 The Tech Genie Is Out 12:33 We Invested in COVID?! 14:25 Good Writing Is Novelty 18:50 Living Like It’s 2028 24:32 Truth dot ai 30:18 Does China have the Weights? 35:38 Everyone has AI Anxiety 39:32 Have Your Agent Talk to My Agent 42:01 What if Open Source takes the Lead? 44:03 The Sun is Setting on Google 48:00 Ride the AGI 50:46 Will There be Startups? 54:05 Defending Taiwan 1:00:05 The California Empire 1:01:26 If the U.S. Falls 1:03:11 Universal Basic Robot 1:06:01 Humans as AI Handlers
1:07:52

New podcast with Garry Tan, farbood and Daniel Francis. Live in the Future! 00:00 Guest Intros 02:35 Live in the Future 03:58 Will AI Outsmart us? 07:43 In the Anthropic Breadline 09:59 The Tech Genie Is Out 12:33 We Invested in COVID?! 14:25 Good Writing Is Novelty 18:50 Living Like It’s 2028 24:32 Truth dot ai 30:18 Does China have the Weights? 35:38 Everyone has AI Anxiety 39:32 Have Your Agent Talk to My Agent 42:01 What if Open Source takes the Lead? 44:03 The Sun is Setting on Google 48:00 Ride the AGI 50:46 Will There be Startups? 54:05 Defending Taiwan 1:00:05 The California Empire 1:01:26 If the U.S. Falls 1:03:11 Universal Basic Robot 1:06:01 Humans as AI Handlers

Naval

753,588 просмотров • 1 месяц назад

2025 = the year of AI Agents x DAOS x Onchain Capital Allocation NEW greenpill.network podcast: Today, I'm joined by Shaw (spirit/acc) jin from ai16zdao to talk about AI Agents. How we use them to allocate capital in DAOs? To route information? To accelerate movements? To solve coordination failure? Timestamps for ez navigation 🫡 00:00 - Intro & focusing on DAOs and the intersection of AI agents. 01:00 - AI Agents and Their Impact 02:03 - The Evolution of the Internet 07:52 - Defining AI Agents 09:40 - Reducing Friction in Information Sharing 11:56 - Building a Movement, Not a Cult 14:15 - The Cathedral and the Bazaar Metaphor 16:04 - Using AI for Coordination 17:49 - Reducing Information Siloing 18:39 - Common Tools Across Organizations 19:31 - Open Sourcing Solutions 20:07 - Capital Allocation Challenges 20:55 - AI and Capital Allocation Intersection 21:50 - Human Oversight in Funding 22:48 - Continuous Retroactive Funding 24:42 - Creating a Supportive Culture 25:06 - Feedback Loops for Builders 26:09 - Reducing Overhead in Funding 26:36 - Acknowledging Non-Coding Contributions 27:58 - Chat Summarization Tool 28:34 - Profiles and Social Capital 29:00 - Marketplace of AI Agents 29:46 - Layered AI Systems 32:42 -Human Oversight in AI 34:39 - Feedback Loops in Development 37:01- Documentation and Community Engagement 38:12 - Self-Documenting Code 40:20 - Accelerated Idea Generation 45:03 - Circle of AI Champions 46:32 - Infinite Backrooms Concept 47:48 - Personal Infinite Backroom Ideas 49:23 - Concerns About Backrooms and Information Hiding 51:23 - Infinite Backrooms Concept 53:35 - Implementers and Skill Sharing 54:40 - Vision for the Future 56:39 - Concerns About UBI Implementation 57:56 - Community Income as a Solution 58:14 - A Hope for Self-Sufficiency and AI 59:36 - Outro
1:00:40

2025 = the year of AI Agents x DAOS x Onchain Capital Allocation NEW greenpill.network podcast: Today, I'm joined by Shaw (spirit/acc) jin from ai16zdao to talk about AI Agents. How we use them to allocate capital in DAOs? To route information? To accelerate movements? To solve coordination failure? Timestamps for ez navigation 🫡 00:00 - Intro & focusing on DAOs and the intersection of AI agents. 01:00 - AI Agents and Their Impact 02:03 - The Evolution of the Internet 07:52 - Defining AI Agents 09:40 - Reducing Friction in Information Sharing 11:56 - Building a Movement, Not a Cult 14:15 - The Cathedral and the Bazaar Metaphor 16:04 - Using AI for Coordination 17:49 - Reducing Information Siloing 18:39 - Common Tools Across Organizations 19:31 - Open Sourcing Solutions 20:07 - Capital Allocation Challenges 20:55 - AI and Capital Allocation Intersection 21:50 - Human Oversight in Funding 22:48 - Continuous Retroactive Funding 24:42 - Creating a Supportive Culture 25:06 - Feedback Loops for Builders 26:09 - Reducing Overhead in Funding 26:36 - Acknowledging Non-Coding Contributions 27:58 - Chat Summarization Tool 28:34 - Profiles and Social Capital 29:00 - Marketplace of AI Agents 29:46 - Layered AI Systems 32:42 -Human Oversight in AI 34:39 - Feedback Loops in Development 37:01- Documentation and Community Engagement 38:12 - Self-Documenting Code 40:20 - Accelerated Idea Generation 45:03 - Circle of AI Champions 46:32 - Infinite Backrooms Concept 47:48 - Personal Infinite Backroom Ideas 49:23 - Concerns About Backrooms and Information Hiding 51:23 - Infinite Backrooms Concept 53:35 - Implementers and Skill Sharing 54:40 - Vision for the Future 56:39 - Concerns About UBI Implementation 57:56 - Community Income as a Solution 58:14 - A Hope for Self-Sufficiency and AI 59:36 - Outro

owockai

60,440 просмотров • 1 год назад

🚨🇺🇸 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
57:15

🚨🇺🇸 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

1,779,388 просмотров • 6 месяцев назад

Here's an edit of the Elon Musk interview hosted by Katherine Brodsky discussing a myriad of topics. This version boosts audio quality and reduces pauses and dead space by 33%. Thank you David Carbutt for the work! Timestamps: (00:00) The Journey of SpaceX and Tesla (01:06) Misunderstandings and Misinformation (03:42) The Role of Social Media in Free Speech (04:12) The Impact of Government Control on Media (06:32) The Evolution of Twitter and the Need for a Fresh Start (07:17) The Challenges of Moderation on Social Media Platforms (12:12) The Role of Citizen Journalism in Modern Media (17:45) The Future of Legacy Media (28:08) The Power of Amplifying Ideas and People (36:35) The Importance of Open-Mindedness and Self-Criticism (38:49) Community Notes and Open Source Data (39:58) The Role of Accuracy and Opinions in Posting (40:22) The Idea of a Sarcasm Detector (41:01) The Potential of AI in Enhancing Accuracy (42:39) The Future of AI and Deepfakes (44:59) The Vision for X as an All-in-One App (46:38) The Concept of Trust in Institutions (51:24) The Impact of Gene Editing on Humanity (55:42) The Challenge of Censorship and Free Speech (01:02:24) The Unusual Case of a Voice Doppelganger (01:07:35) Starting a Conversation: Texting and Simulations (01:08:43) Discussing Starship Launch and Future Plans (01:10:32) Engaging in Casual Conversations and Sharing Photos (01:11:55) Exploring the Idea of Expanding the Scope of Reality (01:13:27) Exploring the Concept of Simulation Theory (01:13:52) Discussing the Concept of AI in the Simulation (01:20:42) Addressing Questions about Ad Demonetization (01:23:11) Addressing Concerns about Doxxing and Harassment (01:30:47) Discussing the Monetization of Spaces (01:31:34) Discussing the Future of AI and OpenAI (01:35:17) Discussion on National Debt and AI (01:36:06) Involvement of Family Members (01:36:45) Questions and Answers (01:37:31) Impersonations and Voice Modulations (01:38:47) Discussion on Accents and Language Learning (01:41:14) Discussion on AI and Voice Imitation (01:46:45) Serious Discussion on AI and Social Media (01:51:27) Discussion on Physics and AI (01:58:18) Closing Remarks and Final Questions
1:59:51

Here's an edit of the Elon Musk interview hosted by Katherine Brodsky discussing a myriad of topics. This version boosts audio quality and reduces pauses and dead space by 33%. Thank you David Carbutt for the work! Timestamps: (00:00) The Journey of SpaceX and Tesla (01:06) Misunderstandings and Misinformation (03:42) The Role of Social Media in Free Speech (04:12) The Impact of Government Control on Media (06:32) The Evolution of Twitter and the Need for a Fresh Start (07:17) The Challenges of Moderation on Social Media Platforms (12:12) The Role of Citizen Journalism in Modern Media (17:45) The Future of Legacy Media (28:08) The Power of Amplifying Ideas and People (36:35) The Importance of Open-Mindedness and Self-Criticism (38:49) Community Notes and Open Source Data (39:58) The Role of Accuracy and Opinions in Posting (40:22) The Idea of a Sarcasm Detector (41:01) The Potential of AI in Enhancing Accuracy (42:39) The Future of AI and Deepfakes (44:59) The Vision for X as an All-in-One App (46:38) The Concept of Trust in Institutions (51:24) The Impact of Gene Editing on Humanity (55:42) The Challenge of Censorship and Free Speech (01:02:24) The Unusual Case of a Voice Doppelganger (01:07:35) Starting a Conversation: Texting and Simulations (01:08:43) Discussing Starship Launch and Future Plans (01:10:32) Engaging in Casual Conversations and Sharing Photos (01:11:55) Exploring the Idea of Expanding the Scope of Reality (01:13:27) Exploring the Concept of Simulation Theory (01:13:52) Discussing the Concept of AI in the Simulation (01:20:42) Addressing Questions about Ad Demonetization (01:23:11) Addressing Concerns about Doxxing and Harassment (01:30:47) Discussing the Monetization of Spaces (01:31:34) Discussing the Future of AI and OpenAI (01:35:17) Discussion on National Debt and AI (01:36:06) Involvement of Family Members (01:36:45) Questions and Answers (01:37:31) Impersonations and Voice Modulations (01:38:47) Discussion on Accents and Language Learning (01:41:14) Discussion on AI and Voice Imitation (01:46:45) Serious Discussion on AI and Social Media (01:51:27) Discussion on Physics and AI (01:58:18) Closing Remarks and Final Questions

Farzad 🇺🇸 🇮🇷

2,033,172 просмотров • 2 лет назад