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*New Lecture* Stanford Frontier Systems Session 7 (Full Video) Systems to scale capital deployment with benahorowitz.eth from a16z 01:40 Quincy Jones 04:00 Founding a16z Model 06:26 Scaling the Firm 09:49 Winning Over LPs 11:50 Network Effects Explained 15:09 Bootstrapping the Network 17:21 Incumbent Antibodies 20:09 AI Changes Moats 25:35...

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Anjney Midha

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Updated: Vocals & Rap - #성화 #Seonghwa 00:00 Still Here 00:15 Wonderland 00:36 Halazia 00:47 Answer 01:21 Cyberpunk 01:27 Wave 01:37 Utopia 01:50 My Way 02:00 With U 02:16 Be With You 02:54 Star 1117 03:21 Turbulence (야간비행) 03:39 Days 04:26 Promise 04:38 Fever 04:54 Sunrise 05:19 Mist 05:43 Take Me Home 06:11 Better 06:34 All About You 06:43 Aurora 06:55 Blue Summer 07:23 Diamond 07:46 Time Of Love 07:58 Stay 08:07 Desire 08:21 WDIG 08:28 New World 08:35 Dreamers 08:53 Not Too Late 09:03 The Letter 09:19 One Day At A Time 09:28 Dazzling Light 09:40 Light 09:50 The Ring 10:04 Paradigm 10:18 This World 10:38 Bouncy 10:51 Not Okay 11:15 The King 11:23 Inception 11:52 Fireworks 12:03 Limitless 12:19 Precious 12:28 Rocky 12:41 Let’s Get Together 13:07 White Love 13:17 The Leaders 13:27 Crazy Form 13:43 Arriba 13:57 Silver Light 14:06 Dreamy Day 14:26 Matz 15:15 Outlaw 15:23 Twilight 15:31 Dune 15:38 Hala Hala 15:43 Deja Vu 15:50 Horizon 15:54 Say My Name 15:57 Sector 1 16:02 Good Lil Boy 16:09 Don’t Stop 16:12 Still Here (Acoustic Ver) 16:19 Siren 16:31 Guerrilla 16:45 We Know 17:00 Empty Box 17:28 Wake Up 17:40 Dancing Like Butterfly Wings 17:49 Work 18:09 Thanxx 18:26 If Without U 18:45 Shaboom 19:01 Outlaw 19:18 Treasure 19:33 Eternal Sunshine 20:03 Django 20:31 Turbulence Japanese Ver. 20:55 Blind 21:16 Pirate King 21:24 Forevermore 22:00 Birthday 22:11 Deep Dive 22:26 Ice On My Teeth 22:50 Man On Fire 23:10 Selfish Waltz 23:25 Enough
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Updated: Vocals & Rap - #성화 #Seonghwa 00:00 Still Here 00:15 Wonderland 00:36 Halazia 00:47 Answer 01:21 Cyberpunk 01:27 Wave 01:37 Utopia 01:50 My Way 02:00 With U 02:16 Be With You 02:54 Star 1117 03:21 Turbulence (야간비행) 03:39 Days 04:26 Promise 04:38 Fever 04:54 Sunrise 05:19 Mist 05:43 Take Me Home 06:11 Better 06:34 All About You 06:43 Aurora 06:55 Blue Summer 07:23 Diamond 07:46 Time Of Love 07:58 Stay 08:07 Desire 08:21 WDIG 08:28 New World 08:35 Dreamers 08:53 Not Too Late 09:03 The Letter 09:19 One Day At A Time 09:28 Dazzling Light 09:40 Light 09:50 The Ring 10:04 Paradigm 10:18 This World 10:38 Bouncy 10:51 Not Okay 11:15 The King 11:23 Inception 11:52 Fireworks 12:03 Limitless 12:19 Precious 12:28 Rocky 12:41 Let’s Get Together 13:07 White Love 13:17 The Leaders 13:27 Crazy Form 13:43 Arriba 13:57 Silver Light 14:06 Dreamy Day 14:26 Matz 15:15 Outlaw 15:23 Twilight 15:31 Dune 15:38 Hala Hala 15:43 Deja Vu 15:50 Horizon 15:54 Say My Name 15:57 Sector 1 16:02 Good Lil Boy 16:09 Don’t Stop 16:12 Still Here (Acoustic Ver) 16:19 Siren 16:31 Guerrilla 16:45 We Know 17:00 Empty Box 17:28 Wake Up 17:40 Dancing Like Butterfly Wings 17:49 Work 18:09 Thanxx 18:26 If Without U 18:45 Shaboom 19:01 Outlaw 19:18 Treasure 19:33 Eternal Sunshine 20:03 Django 20:31 Turbulence Japanese Ver. 20:55 Blind 21:16 Pirate King 21:24 Forevermore 22:00 Birthday 22:11 Deep Dive 22:26 Ice On My Teeth 22:50 Man On Fire 23:10 Selfish Waltz 23:25 Enough

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먕

20,751 Aufrufe • vor 5 Monaten

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead
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My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

Raoul Pal

166,795 Aufrufe • vor 1 Jahr

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1:13:04

Reiner Pope (MatX) just raised a $500m round led by Leopold Aschenbrenner and Jane Street to build faster AI chips. I enjoyed having him on Cheeky Pint so I could ask all my questions about how chip design actually works, where the speed-up comes from, and how the industry will evolve. 00:00:15 Google’s AI revival 00:07:54 MatX 00:17:11 AI supply chain 00:21:48 Designing chips 00:37:11 TSMC 00:44:17 Token pricing 00:44:55 RL-ing chip design 00:49:26 Design to production 00:56:05 MatX culture 01:02:57 Rust 01:05:21 Cuckoo hashing 01:09:35 Unexplored model architectures

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좋아하는 #선우 틱톡 춤&챌린지 모음 ❤︎ 00:00 세상에 소리질러 00:15 ladidadida 00:30 Ready to love 00:48 Permission to Dance 00:52 꿈빛파티시엘 01:20 Hot 01:32 Hot 01:47 That That 01:58 ZOOM 02:27 Roller Coaster 02:37 Beatbox 02:50 Attention 어텐션 03:10 단거 03:38 귀여워서 미안해 03:53 MBTI 04:15 on the street 04:27 배고파송 04:42 AMERICA HAS A PROBLEM 04:53 comethru 커피 05:13 난장 05:28 Love me 05:43 If we ever broke up 05:58 최애의아이 06:13 FIREWORK 06:29 Go 06:37 Love Lee 러브리 07:04 INVITATION 07:15 Right Now 풀업 07:26 War Cry 07:39 위글위글 07:50 나이트댄서 08:08 나이트댄서 08:28 첫눈 08:41 산타텔미 08:51 마리오 브이 09:00 Obsessed 09:13 Like I Do 09:24 Like I Do 09:39 Rather Be 레덜비 09:57 첫 만남은 계획대로 되지 않아 10:24 10:33 무빙 10:44 Back it up 10:54 전방향미소년 11:05 보이프렌드 11:18 워너비 11:33 티라미수 케익 11:45 페도라 11:56 Blessed 12:19 渋沢栄一 12:35 Change 댄스잼 12:46 동물원을 빠져나온 퓨마 13:25 어머뿔자 14:55 어머뿔자 15:51 영웅 16:17 작은 것들을 위한 시 17:48 으르렁 18:29 I NEED U 18:35 파이팅해야지 19:11 빙글빙글
19:30

좋아하는 #선우 틱톡 춤&챌린지 모음 ❤︎ 00:00 세상에 소리질러 00:15 ladidadida 00:30 Ready to love 00:48 Permission to Dance 00:52 꿈빛파티시엘 01:20 Hot 01:32 Hot 01:47 That That 01:58 ZOOM 02:27 Roller Coaster 02:37 Beatbox 02:50 Attention 어텐션 03:10 단거 03:38 귀여워서 미안해 03:53 MBTI 04:15 on the street 04:27 배고파송 04:42 AMERICA HAS A PROBLEM 04:53 comethru 커피 05:13 난장 05:28 Love me 05:43 If we ever broke up 05:58 최애의아이 06:13 FIREWORK 06:29 Go 06:37 Love Lee 러브리 07:04 INVITATION 07:15 Right Now 풀업 07:26 War Cry 07:39 위글위글 07:50 나이트댄서 08:08 나이트댄서 08:28 첫눈 08:41 산타텔미 08:51 마리오 브이 09:00 Obsessed 09:13 Like I Do 09:24 Like I Do 09:39 Rather Be 레덜비 09:57 첫 만남은 계획대로 되지 않아 10:24 10:33 무빙 10:44 Back it up 10:54 전방향미소년 11:05 보이프렌드 11:18 워너비 11:33 티라미수 케익 11:45 페도라 11:56 Blessed 12:19 渋沢栄一 12:35 Change 댄스잼 12:46 동물원을 빠져나온 퓨마 13:25 어머뿔자 14:55 어머뿔자 15:51 영웅 16:17 작은 것들을 위한 시 17:48 으르렁 18:29 I NEED U 18:35 파이팅해야지 19:11 빙글빙글

라기

55,782 Aufrufe • vor 1 Jahr

260703 #영재 위버스 라이브 노래 모음 00:00 내일이 되어 줄게 00:10 Checklist 00:17 사계 00:23 폰서트 00:33 우리의 언어 01:38 Moon River 01:43 눈사람 01:59 한 번 더 안녕 02:19 산소 같은 너 02:36 그리워하다 03:02 First Love 03:22 overthinking 03:38 OVERDRIVE 03:46 내 사랑 내 곁에 04:13 Double Take 04:21 소문의 낙원 04:29 심야영화 04:48 생각을 멈추다 보면 05:40 hey! hey! 05:49 BFF 05:57 비가 오는 날엔 06:08 그럴때마다 06:16 너의 모든 순간 06:45 Try Again 07:20 여보세요 07:59 Oh Little Girl 08:22 ICONIC BY MISTAKE 08:35 만찬가 09:30 Snooze 10:09 Soft Spot 10:49 그 긴 밤을 지나온 너에게 11:22 toxic till the end 12:05 I Love You 3000 12:30 와르르 13:25 Heavy Serenade 13:51 Thirsty 14:56 Back To Strangers 15:26 갑자기 15:54 Pretender 16:49 우리 사랑은 필름 같았으면 해요 16:55 Best Part 17:26 우주를 줄게
18:23

260703 #영재 위버스 라이브 노래 모음 00:00 내일이 되어 줄게 00:10 Checklist 00:17 사계 00:23 폰서트 00:33 우리의 언어 01:38 Moon River 01:43 눈사람 01:59 한 번 더 안녕 02:19 산소 같은 너 02:36 그리워하다 03:02 First Love 03:22 overthinking 03:38 OVERDRIVE 03:46 내 사랑 내 곁에 04:13 Double Take 04:21 소문의 낙원 04:29 심야영화 04:48 생각을 멈추다 보면 05:40 hey! hey! 05:49 BFF 05:57 비가 오는 날엔 06:08 그럴때마다 06:16 너의 모든 순간 06:45 Try Again 07:20 여보세요 07:59 Oh Little Girl 08:22 ICONIC BY MISTAKE 08:35 만찬가 09:30 Snooze 10:09 Soft Spot 10:49 그 긴 밤을 지나온 너에게 11:22 toxic till the end 12:05 I Love You 3000 12:30 와르르 13:25 Heavy Serenade 13:51 Thirsty 14:56 Back To Strangers 15:26 갑자기 15:54 Pretender 16:49 우리 사랑은 필름 같았으면 해요 16:55 Best Part 17:26 우주를 줄게

뭘봐

63,424 Aufrufe • vor 17 Tagen

Ventura Labs Ep. 59 - James Altucher James (James Altucher) is the Digital Asset Treasury Strategist at TAO synergies (TAO Synergies Inc.) and creator of Timestamps 02:15 - Introduction 02:58 - What is Bittensor 06:24 - AI background and Deep Blue 09:34 - Chess interest and journey 11:46 - $TAOX inspirations and TAO-pilled 14:09 - TAO Synergies origin story 16:57 - Reaching 100M and playbook 19:41 - Treasury strategies and validators 22:02 - TAO Daily introduction 25:51 - Bitcoin adoption and involvement 29:32 - Subnet investing and analysis 30:59 - Token warnings and TAO demand 35:46 - Subnet proposals and increases 37:36 - Successful sectors and examples 40:04 - Yanez and Metanova 43:17 - Decentralization benefits 46:13 - AI jobs and countering fears 49:34 - Beneficial sectors: AI and stablecoins 53:59 - Bryan Johnson documentary 55:17 - Starting podcast and interviews 57:14 - Interests and obsessions 01:00:56 - Daily writing obsession and origins 01:03:47 - Confidence and opinions 01:07:33 - Company failures and lessons 01:10:42 - HBO series and 3AM show 01:14:26 - Hesitancy, regrets, pivotal points 01:17:38 - Advice on time and experiments
1:22:20

Ventura Labs Ep. 59 - James Altucher James (James Altucher) is the Digital Asset Treasury Strategist at TAO synergies (TAO Synergies Inc.) and creator of Timestamps 02:15 - Introduction 02:58 - What is Bittensor 06:24 - AI background and Deep Blue 09:34 - Chess interest and journey 11:46 - $TAOX inspirations and TAO-pilled 14:09 - TAO Synergies origin story 16:57 - Reaching 100M and playbook 19:41 - Treasury strategies and validators 22:02 - TAO Daily introduction 25:51 - Bitcoin adoption and involvement 29:32 - Subnet investing and analysis 30:59 - Token warnings and TAO demand 35:46 - Subnet proposals and increases 37:36 - Successful sectors and examples 40:04 - Yanez and Metanova 43:17 - Decentralization benefits 46:13 - AI jobs and countering fears 49:34 - Beneficial sectors: AI and stablecoins 53:59 - Bryan Johnson documentary 55:17 - Starting podcast and interviews 57:14 - Interests and obsessions 01:00:56 - Daily writing obsession and origins 01:03:47 - Confidence and opinions 01:07:33 - Company failures and lessons 01:10:42 - HBO series and 3AM show 01:14:26 - Hesitancy, regrets, pivotal points 01:17:38 - Advice on time and experiments

Ventura Labs

23,500 Aufrufe • vor 10 Monaten

내가 보려고 모은 #조이 역대 브릿지 파트 모음.zip (Ice Cream Cake~Sweet Dreams) 💚 * 레드벨벳 앨범만 포함했습니다 00:00 Somethin Kinda Crazy 00:05 Take It Slow 00:13 사탕 (Candy) 00:20 Dumb Dumb 00:22 Campfire 00:31 Lady’s Room 00:33 Day 1 00:43 Coold World 00:51 My Dear 00:55 Bad Dracula 00:58 Happily Ever After 01:03 빨간 맛 (Red Flavor) 01:09 여름빛 (Mojito) 01:13 I Just 01:17 Kingdom Come 01:23 두 번째 데이트 (My Second Date) 01:27 Attaboy 01:36 Perfect 10 01:42 달빛소리 01:53 Bad Boy 01:59 Time To Love 02:09 #Cookie Jar 02:13 Aitai-tai 02:20 Power Up 02:23 한 여름의 크리스마스 (With You) 02:30 Mr.E 02:35 Mosquito 02:41 RBB (Really Bad Boy) 02:47 So Good 02:51 멋있게 (Sassy Me) 02:54 Swimming Pool 02:57 Sayonara 03:04 짐살라빔 (Zimzalabim) 03:12 Sunny Side Up! 03:16 Milkshake 03:21 친구가 아냐 (Bing Bing) 03:29 안녕, 여름 (Parade) 03:32 LP 03:41 음파음파 (Umpah Umpah) 03:48 카풀 (Carpool) 03:57 Love Is The Way 04:05 Jumpin’ 04:11 눈 맞추고, 손 맞대고 (Eyes Locked, Hand Locked) 04:17 Psycho 04:24 In & Out 04:34 Remember Forever 04:44 Milky Way 04:52 Queendom 05:00 Pose 05:07 Knock On Wood 05:15 Better Be 05:25 Feel My Rhythm 05:29 Rainbow Halo 05:36 Beg For Me 05:43 In My Dreams 05:48 Marionette 05:50 WILDSIDE 05:54 Jackpot 06:00 Snap Snap 06:08 ‘Cause it’s you 06:14 Color of Love 06:16 Birthday 06:19 BYE BYE 06:22 롤러코스터 (On A Ride) 06:29 Zoom 06:40 Celebrate 06:48 Chill Kill 06:56 Knock Knock (Who’s There?) 06:59 Nightmare 07:03 One Kiss 07:10 Wings 07:21 풍경화 (Scenery) 07:32 Sunflower 07:38 Love Arcade 07:44 Bubble 07:51 Night Drive 07:57 Sweet Dreams
8:06

내가 보려고 모은 #조이 역대 브릿지 파트 모음.zip (Ice Cream Cake~Sweet Dreams) 💚 * 레드벨벳 앨범만 포함했습니다 00:00 Somethin Kinda Crazy 00:05 Take It Slow 00:13 사탕 (Candy) 00:20 Dumb Dumb 00:22 Campfire 00:31 Lady’s Room 00:33 Day 1 00:43 Coold World 00:51 My Dear 00:55 Bad Dracula 00:58 Happily Ever After 01:03 빨간 맛 (Red Flavor) 01:09 여름빛 (Mojito) 01:13 I Just 01:17 Kingdom Come 01:23 두 번째 데이트 (My Second Date) 01:27 Attaboy 01:36 Perfect 10 01:42 달빛소리 01:53 Bad Boy 01:59 Time To Love 02:09 #Cookie Jar 02:13 Aitai-tai 02:20 Power Up 02:23 한 여름의 크리스마스 (With You) 02:30 Mr.E 02:35 Mosquito 02:41 RBB (Really Bad Boy) 02:47 So Good 02:51 멋있게 (Sassy Me) 02:54 Swimming Pool 02:57 Sayonara 03:04 짐살라빔 (Zimzalabim) 03:12 Sunny Side Up! 03:16 Milkshake 03:21 친구가 아냐 (Bing Bing) 03:29 안녕, 여름 (Parade) 03:32 LP 03:41 음파음파 (Umpah Umpah) 03:48 카풀 (Carpool) 03:57 Love Is The Way 04:05 Jumpin’ 04:11 눈 맞추고, 손 맞대고 (Eyes Locked, Hand Locked) 04:17 Psycho 04:24 In & Out 04:34 Remember Forever 04:44 Milky Way 04:52 Queendom 05:00 Pose 05:07 Knock On Wood 05:15 Better Be 05:25 Feel My Rhythm 05:29 Rainbow Halo 05:36 Beg For Me 05:43 In My Dreams 05:48 Marionette 05:50 WILDSIDE 05:54 Jackpot 06:00 Snap Snap 06:08 ‘Cause it’s you 06:14 Color of Love 06:16 Birthday 06:19 BYE BYE 06:22 롤러코스터 (On A Ride) 06:29 Zoom 06:40 Celebrate 06:48 Chill Kill 06:56 Knock Knock (Who’s There?) 06:59 Nightmare 07:03 One Kiss 07:10 Wings 07:21 풍경화 (Scenery) 07:32 Sunflower 07:38 Love Arcade 07:44 Bubble 07:51 Night Drive 07:57 Sweet Dreams

맑음쨩 🍏

20,678 Aufrufe • vor 1 Jahr

Indio Solari y Los Fundamentalistas del AA Hipódromo de Tandil 12/03/2016 01 - Entrevista inédita en radio de Mar del Plata (08/07/1988) 00:00 02 - Indio nos habla + Anuncio de cambios en la banda 02:19 03 - Intro 04:48 04 - Nuestro amo juega al esclavo 06:14 05 - Pedía siempre temas en la radio... 10:34 06 - Porco Rex 14:43 07 - Tatuaje 19:05 08 - El charro chino 24:00 09 - ¡Esto es to-to-todo amigos! 29:04 10 - Gran Lady 33:09 11 - Salando las heridas 37:04 12 - Cruz diablo! 42:30 13 - Ramas desnudas 47:15 14 - Ella baila con todos 52:44 15 - Todos a los botes 57:55 16 - El arte del buen comer 01:03:35 17 - Torito es muerto 01:08:26 18 - Ceremonia durante la tormenta 01:14:40 19 - A la luz de la luna 01:20:12 20 - Las increíbles andanzas del Capitán Buscapina en Cybersibera 01:25:29 21 - ¡Es hora de levantarse querido! (¿dormiste bien?) 01:30:07 22 - Barbazul versus el amor letal (Interrumpido) 01:33:50 23 - Luzbelito y las sirenas 01:36:25 24 - La parabellum del buen psicópata 01:40:38 25 - Había una vez... 01:46:54 26 - Vino Mariani 01:51:50 27 - Adieu! Bye bye! Aufwiedersehen! 01:57:14 28 - Porqué será que dios no me quiere? 02:01:30 29 - Rock para los dientes 02:55:59 30 - Fligth 956 02:09:34 31 - Ji ji ji 02:14:58 yt: normanoyermoindigui3371
2:21:09

Indio Solari y Los Fundamentalistas del AA Hipódromo de Tandil 12/03/2016 01 - Entrevista inédita en radio de Mar del Plata (08/07/1988) 00:00 02 - Indio nos habla + Anuncio de cambios en la banda 02:19 03 - Intro 04:48 04 - Nuestro amo juega al esclavo 06:14 05 - Pedía siempre temas en la radio... 10:34 06 - Porco Rex 14:43 07 - Tatuaje 19:05 08 - El charro chino 24:00 09 - ¡Esto es to-to-todo amigos! 29:04 10 - Gran Lady 33:09 11 - Salando las heridas 37:04 12 - Cruz diablo! 42:30 13 - Ramas desnudas 47:15 14 - Ella baila con todos 52:44 15 - Todos a los botes 57:55 16 - El arte del buen comer 01:03:35 17 - Torito es muerto 01:08:26 18 - Ceremonia durante la tormenta 01:14:40 19 - A la luz de la luna 01:20:12 20 - Las increíbles andanzas del Capitán Buscapina en Cybersibera 01:25:29 21 - ¡Es hora de levantarse querido! (¿dormiste bien?) 01:30:07 22 - Barbazul versus el amor letal (Interrumpido) 01:33:50 23 - Luzbelito y las sirenas 01:36:25 24 - La parabellum del buen psicópata 01:40:38 25 - Había una vez... 01:46:54 26 - Vino Mariani 01:51:50 27 - Adieu! Bye bye! Aufwiedersehen! 01:57:14 28 - Porqué será que dios no me quiere? 02:01:30 29 - Rock para los dientes 02:55:59 30 - Fligth 956 02:09:34 31 - Ji ji ji 02:14:58 yt: normanoyermoindigui3371

Pedro 🇦🇷

39,449 Aufrufe • vor 1 Monat

#달돌즈 00:00 최애 00:15 타로 선배님 00:34 껌딱지 00:46 조깅 01:00 제가 했을리가 없잖아요 01:18 야 돌 01:26 정신 나갔습니다 [😮☝️] 01:43 01:55 [투닥투닥] 02:03 02:07 02:22 02:49 제대로 꾸미셨네 02:48 안 머거! 03:15 돌잡이 03:19 아부나이네 03:25 나처럼? 03:32 은석 -> 쇼타로 03:55 쇼타로 -> 은석 04:19 내가 뭐 개그맨이에요? 04:33 아무도 허락 안 했습니다? 04:42 원래부터 친구였지 04:50 ...야 04:57 스티커 사진 05:46 상황극 06:48 제헤가 언제요 07:10 선생님 그냥 가십쇼 07:19 곳간 털이범 08:01 버블티애교 08:42 약하군 08:54 용맹강아지 09:01 듣게 해줘? 09:12 살인미소 09:17 내가 그린 기린 그림 09:46 📸 10:08 이게 송은석입니다 10:23 그만 10:39 안마 11:21 돌꾸미기 11:23 말이 된다고 생각하세요? 11:43 고갱님 11:54 우리 여기 와본 적 있나? 12:18 CF가 광고야 12:28 녹초 12:37 콩 한 쪽도 나눠 먹는 사이 12:51 나도나도 13:03 마사지 13:21 펌핑 품앗이 13:34 둘만의 세상 13:41 다이어트 안 했어요? 13:49 무아지경 14:04 이상해지셨네 14:29 송애교 14:45 형보단 14:50 자기가 만들어 14:57 만들어줄거면서 15:33 어딜 15:40 핑크쉐도우 [비행메이트] 15:45 15:53 16:06 16:12 16:18 은석코어 16:29 염색하면 돼요 16:47 애기ㅠㅠ 16:56 🕺🕺 17:08 야 그게 말이 되냐 17:32 조언 17:46 그니까 왜 이런 걸 하셔서.. 17:55 은석씨 많이 나락 가셨네 18:10 밀어조 [릴스] 19:14 back it up ✋ 19:25 im addicted to... 19:40 🦾🤖 19:55 ☘️+💚=🍀 20:05 eh?
20:13

#달돌즈 00:00 최애 00:15 타로 선배님 00:34 껌딱지 00:46 조깅 01:00 제가 했을리가 없잖아요 01:18 야 돌 01:26 정신 나갔습니다 [😮☝️] 01:43 01:55 [투닥투닥] 02:03 02:07 02:22 02:49 제대로 꾸미셨네 02:48 안 머거! 03:15 돌잡이 03:19 아부나이네 03:25 나처럼? 03:32 은석 -> 쇼타로 03:55 쇼타로 -> 은석 04:19 내가 뭐 개그맨이에요? 04:33 아무도 허락 안 했습니다? 04:42 원래부터 친구였지 04:50 ...야 04:57 스티커 사진 05:46 상황극 06:48 제헤가 언제요 07:10 선생님 그냥 가십쇼 07:19 곳간 털이범 08:01 버블티애교 08:42 약하군 08:54 용맹강아지 09:01 듣게 해줘? 09:12 살인미소 09:17 내가 그린 기린 그림 09:46 📸 10:08 이게 송은석입니다 10:23 그만 10:39 안마 11:21 돌꾸미기 11:23 말이 된다고 생각하세요? 11:43 고갱님 11:54 우리 여기 와본 적 있나? 12:18 CF가 광고야 12:28 녹초 12:37 콩 한 쪽도 나눠 먹는 사이 12:51 나도나도 13:03 마사지 13:21 펌핑 품앗이 13:34 둘만의 세상 13:41 다이어트 안 했어요? 13:49 무아지경 14:04 이상해지셨네 14:29 송애교 14:45 형보단 14:50 자기가 만들어 14:57 만들어줄거면서 15:33 어딜 15:40 핑크쉐도우 [비행메이트] 15:45 15:53 16:06 16:12 16:18 은석코어 16:29 염색하면 돼요 16:47 애기ㅠㅠ 16:56 🕺🕺 17:08 야 그게 말이 되냐 17:32 조언 17:46 그니까 왜 이런 걸 하셔서.. 17:55 은석씨 많이 나락 가셨네 18:10 밀어조 [릴스] 19:14 back it up ✋ 19:25 im addicted to... 19:40 🦾🤖 19:55 ☘️+💚=🍀 20:05 eh?

𝙟𝙚𝙩

216,532 Aufrufe • vor 1 Jahr

#카리나 #KARINA 춤 챌린지 모음 (2024.12 ver.) 00:00 Weekend 00:19 Second 00:43 Sparkling 01:04 Sneakers 01:16 Forever 1 01:37 Candy 01:59 나의 바람 (Wind And Wish) 02:11 UNFORGIVEN 02:27 퀸카 (Queencard) 02:34 FREEDOM 02:46 샤랄라 (SHALALA) 03:33 HARD 03:57 Vuja De 04:15 Picture 04:26 NEW DANCE 04:50 Baggy Jeans 05:14 Everyday 05:29 Guilty 06:08 Baddie 06:30 Perfect Night 07:02 Why 07:26 VROOM VROOM 07:47 Chill Kill 08:03 MANIAC 08:23 Sweet Venom 08:39 Grand Prix 09:02 첫 눈 09:13 Rodeo 09:24 Be There For Me 09:36 Underneath the Tree 09:52 Single Ladies 10:16 Two of Hearts 10:26 UNTOUCHABLE 10:46 Good Morning 11:01 Thot Shit 11:13 Grillz 11:27 Mr.Bean 11:43 갈매기 11:55 To. X 12:11 Tap 12:36 마녀배달부 키키 12:54 yeyeye 13:07 Rolex 13:23 GGB 13:32 See Tình 13:48 KARINA's bounce 14:04 Earth, Wind & Fire 14:23 Feel the POP 14:40 Mr. vampire 14:55 yeyeye
21:18

#카리나 #KARINA 춤 챌린지 모음 (2024.12 ver.) 00:00 Weekend 00:19 Second 00:43 Sparkling 01:04 Sneakers 01:16 Forever 1 01:37 Candy 01:59 나의 바람 (Wind And Wish) 02:11 UNFORGIVEN 02:27 퀸카 (Queencard) 02:34 FREEDOM 02:46 샤랄라 (SHALALA) 03:33 HARD 03:57 Vuja De 04:15 Picture 04:26 NEW DANCE 04:50 Baggy Jeans 05:14 Everyday 05:29 Guilty 06:08 Baddie 06:30 Perfect Night 07:02 Why 07:26 VROOM VROOM 07:47 Chill Kill 08:03 MANIAC 08:23 Sweet Venom 08:39 Grand Prix 09:02 첫 눈 09:13 Rodeo 09:24 Be There For Me 09:36 Underneath the Tree 09:52 Single Ladies 10:16 Two of Hearts 10:26 UNTOUCHABLE 10:46 Good Morning 11:01 Thot Shit 11:13 Grillz 11:27 Mr.Bean 11:43 갈매기 11:55 To. X 12:11 Tap 12:36 마녀배달부 키키 12:54 yeyeye 13:07 Rolex 13:23 GGB 13:32 See Tình 13:48 KARINA's bounce 14:04 Earth, Wind & Fire 14:23 Feel the POP 14:40 Mr. vampire 14:55 yeyeye

감자

219,376 Aufrufe • vor 1 Jahr

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?
2:10:59

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?

Epoch AI

178,703 Aufrufe • vor 5 Monaten

I grew up reading histories of Microsoft like “Hard Drive” and “Show Stopper”. So it was a treat for me to host Satya Nadella at the Cheeky Pint pub to talk about lessons from the 1980s and 1990s, how Satya runs Microsoft as a CEO, and his thoughts on agentic commerce transforming internet shopping. Timestamps 00:00 AI adoption in the enterprise 08:58 How Satya runs Microsoft 14:51 New UIs 21:49 Microsoft tackling the early internet 27:03 Are we in a bubble? 32:40 Data sovereignty 39:10 Microsoft Excel 43:26 Agentic commerce 54:10 AI brand loyalty 01:01:09 Product bundling 01:09:42 Microsoft’s culture 01:13:36 The law of very large companies 01:17:33 What’s in the water in Hyderabad?
1:20:18

I grew up reading histories of Microsoft like “Hard Drive” and “Show Stopper”. So it was a treat for me to host Satya Nadella at the Cheeky Pint pub to talk about lessons from the 1980s and 1990s, how Satya runs Microsoft as a CEO, and his thoughts on agentic commerce transforming internet shopping. Timestamps 00:00 AI adoption in the enterprise 08:58 How Satya runs Microsoft 14:51 New UIs 21:49 Microsoft tackling the early internet 27:03 Are we in a bubble? 32:40 Data sovereignty 39:10 Microsoft Excel 43:26 Agentic commerce 54:10 AI brand loyalty 01:01:09 Product bundling 01:09:42 Microsoft’s culture 01:13:36 The law of very large companies 01:17:33 What’s in the water in Hyderabad?

John Collison

114,071 Aufrufe • vor 8 Monaten

The Scourge of the ‘Woke Right’ | Andrew Doyle & Jonathan Kay 00:00 “Woke right” defined 00:57 Liberty vs. authority 02:05 Authoritarian instincts 03:30 Abandoning liberalism 05:33 Is the “woke right” real? 07:21 Ideological confusion 09:01 Authoritarianism across sides 11:04 Bourgeois wokeness 12:53 Identity misalignment 15:42 Rise of identitarianism 18:55 Cult of personality 20:42 Trump as cultural symptom 24:15 Trans as culture war flashpoint 26:06 Secular erosion 28:23 Performative Christianity 31:21 Religious resurgence on the right 34:20 New ideological “religions” 37:07 Zionism, Omnicult, belief systems 39:48 Meme culture and online right 41:06 Woke right vs alt-right 43:24 Cult mentality warning 44:50 Drag politicised 48:47 Queer theory and LGB vs TQ 51:02 Forced teaming 53:10 Homophobia concerns 55:14 Woke authoritarianism 57:07 Culture war dynamics 58:43 Shakespeare and censorship 01:01:11 EU “pre-bunking” 01:02:53 Trust in the electorate 01:04:00 Authoritarianism persists
1:04:57

The Scourge of the ‘Woke Right’ | Andrew Doyle & Jonathan Kay 00:00 “Woke right” defined 00:57 Liberty vs. authority 02:05 Authoritarian instincts 03:30 Abandoning liberalism 05:33 Is the “woke right” real? 07:21 Ideological confusion 09:01 Authoritarianism across sides 11:04 Bourgeois wokeness 12:53 Identity misalignment 15:42 Rise of identitarianism 18:55 Cult of personality 20:42 Trump as cultural symptom 24:15 Trans as culture war flashpoint 26:06 Secular erosion 28:23 Performative Christianity 31:21 Religious resurgence on the right 34:20 New ideological “religions” 37:07 Zionism, Omnicult, belief systems 39:48 Meme culture and online right 41:06 Woke right vs alt-right 43:24 Cult mentality warning 44:50 Drag politicised 48:47 Queer theory and LGB vs TQ 51:02 Forced teaming 53:10 Homophobia concerns 55:14 Woke authoritarianism 57:07 Culture war dynamics 58:43 Shakespeare and censorship 01:01:11 EU “pre-bunking” 01:02:53 Trust in the electorate 01:04:00 Authoritarianism persists

Quillette

42,874 Aufrufe • vor 1 Jahr

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 Aufrufe • vor 1 Jahr

#운학 2024 챌린지 모음 00:00 드라마 00:17 허니 00:30 하입보이 00:47 Standing next to you 01:03 Dash 01:20 굿모닝 01:36 흠뻑 02:05 Mr. Vampire 02:33 Super Lady 02:55 Like I Do 03:17 때깔 03:32 Easy 03:47 잭팟 04:02 사랑스러워 04:15 구구단송 / 꽃집 챌린지 04:29 하이틴 04:45 Fadeaway 05:04 Obsessed 05:13 Nectar 05:31 마그네틱 05:51 👟⚡️ 06:05 스무디 06:30 Bad 06:55 Deja Vu 07:27 청춘에게 07:40 포켓몬 07:53 SPOT! 08:10 사이렌 08:27 드라마 08:42 길티 09:04 겟어기타 09:22 I'm So Sexy 09:49 진격의 방탄 10:07 giri giri 10:23 뉴스쿨 올드스쿨 10:41 XO 10:53 Sweetest Tune 11:18 티라미수 케익 11:33 댄스홀 11:54 터치 12:22 Lay it down 12:37 브링방방 12:51 Dollars 13:05 Pineapple Slice 13:27 ATE THAT 13:48 Dancing on the road 14:13 GGUM 14:31 Goodies 14:50 겟라우드 15:14 노메이크업 15:28 펑키 글리터 크리스마스
15:53

#운학 2024 챌린지 모음 00:00 드라마 00:17 허니 00:30 하입보이 00:47 Standing next to you 01:03 Dash 01:20 굿모닝 01:36 흠뻑 02:05 Mr. Vampire 02:33 Super Lady 02:55 Like I Do 03:17 때깔 03:32 Easy 03:47 잭팟 04:02 사랑스러워 04:15 구구단송 / 꽃집 챌린지 04:29 하이틴 04:45 Fadeaway 05:04 Obsessed 05:13 Nectar 05:31 마그네틱 05:51 👟⚡️ 06:05 스무디 06:30 Bad 06:55 Deja Vu 07:27 청춘에게 07:40 포켓몬 07:53 SPOT! 08:10 사이렌 08:27 드라마 08:42 길티 09:04 겟어기타 09:22 I'm So Sexy 09:49 진격의 방탄 10:07 giri giri 10:23 뉴스쿨 올드스쿨 10:41 XO 10:53 Sweetest Tune 11:18 티라미수 케익 11:33 댄스홀 11:54 터치 12:22 Lay it down 12:37 브링방방 12:51 Dollars 13:05 Pineapple Slice 13:27 ATE THAT 13:48 Dancing on the road 14:13 GGUM 14:31 Goodies 14:50 겟라우드 15:14 노메이크업 15:28 펑키 글리터 크리스마스

꼼이

62,198 Aufrufe • vor 7 Monaten

State of AI compute 2026: my conversation with stephen balaban of Lambda on the neocloud boom, data centers, GPUs and what's ahead 00:00 — Cold open 01:21 — Why GPU compute was never a commodity 02:45 — The H100 price index and what it gets wrong 04:02 — The real moat: technology or financing? 05:57 — Winner-take-all, or room for many neoclouds 06:48 — Are we overbuilding or underbuilding AI compute? 09:26 — What if AI gets 10x more compute-efficient? 10:44 — The real bottleneck: land, power, and shell 11:38 — The backlash against data centers — and the misinformation 15:00 — Opening the hood: from photons to tokens 17:11 — Extracting more value from the same chip 19:26 — Frontier inference and distributed training, explained 23:26 — What actually drives compute cost 25:21 — Lambda's chip stack and the NVIDIA relationship 26:17 — A multi-silicon world? CUDA, CUDNN, and NVIDIA's real moat 28:59 — Networking, storage, and the one-click cluster 34:46 — Renting vs. owning, and full vertical integration 36:24 — How global is Lambda? Does location still matter? 38:44 — The financing stack: off-take agreements, SPVs, and credit 41:16 — Why a 2023 GPU leases for more today 42:36 — A futures market for compute? 43:54 — Origin story: facial recognition, Perceptio, and Apple 47:03 — The Lambda hat and Dream Scope 48:59 — The $60K bet that became a cloud business 52:00 — Holding the team together through the hard times 54:30 — Bringing on a new CEO; Stephen as CTO 57:33 — Matching xAI on high-velocity deployment 59:29 — "AI won't write software — it will become the software" 01:01:30 — Neural software vs. vibe coding 01:04:25 — Do agents change the compute layer 01:06:14 — Self-assembling software inside Lambda 01:08:18 — Gigawatt-scale AI factories 01:08:57 — One person, one GPU 01:12:04 — Hot takes: overrated and underrated in AI
1:14:27

State of AI compute 2026: my conversation with stephen balaban of Lambda on the neocloud boom, data centers, GPUs and what's ahead 00:00 — Cold open 01:21 — Why GPU compute was never a commodity 02:45 — The H100 price index and what it gets wrong 04:02 — The real moat: technology or financing? 05:57 — Winner-take-all, or room for many neoclouds 06:48 — Are we overbuilding or underbuilding AI compute? 09:26 — What if AI gets 10x more compute-efficient? 10:44 — The real bottleneck: land, power, and shell 11:38 — The backlash against data centers — and the misinformation 15:00 — Opening the hood: from photons to tokens 17:11 — Extracting more value from the same chip 19:26 — Frontier inference and distributed training, explained 23:26 — What actually drives compute cost 25:21 — Lambda's chip stack and the NVIDIA relationship 26:17 — A multi-silicon world? CUDA, CUDNN, and NVIDIA's real moat 28:59 — Networking, storage, and the one-click cluster 34:46 — Renting vs. owning, and full vertical integration 36:24 — How global is Lambda? Does location still matter? 38:44 — The financing stack: off-take agreements, SPVs, and credit 41:16 — Why a 2023 GPU leases for more today 42:36 — A futures market for compute? 43:54 — Origin story: facial recognition, Perceptio, and Apple 47:03 — The Lambda hat and Dream Scope 48:59 — The $60K bet that became a cloud business 52:00 — Holding the team together through the hard times 54:30 — Bringing on a new CEO; Stephen as CTO 57:33 — Matching xAI on high-velocity deployment 59:29 — "AI won't write software — it will become the software" 01:01:30 — Neural software vs. vibe coding 01:04:25 — Do agents change the compute layer 01:06:14 — Self-assembling software inside Lambda 01:08:18 — Gigawatt-scale AI factories 01:08:57 — One person, one GPU 01:12:04 — Hot takes: overrated and underrated in AI

Matt Turck

70,916 Aufrufe • vor 1 Monat