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Factuality and human preference are complementary signals. 00:00 Why we're adding factuality as a signal 00:14 Human preference vs. factuality: complementary, not the same 01:06 How this differs from style control 02:32 The math: reviewing the existing Bradley-Terry objective 04:27 Extending the objective to factuality 06:23 The composite objective:... show more

Arena.ai

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34,856 views • 1 month ago •via X (Twitter)

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Where do autoraters break down? Arena researchers Li Chen and I-Hung Hsu walk through how they'd build an autorater from scratch — different kinds of autoraters, training objectives, what dimensions actually matter to rate on — then get into what makes it hard in practice: preference drift, multi-turn evaluation, tie threshold variance, and the gap between LLM-as-a-judge and real human subjectivity. Watch on YouTube to see the whiteboard details (link in 🧵 thread) 0:00 Evaluation granularity: general vs. per-category vs. per-response 2:05 Applications of autoraters as RL reward signals and test-time scaling 3:03 Output design for pairwise autorater: scores, comparison, and ties 4:03 Verbal and visual feedback autoraters 4:48 Training for pairwise autorater: Bradley-Terry loss, threshold design 9:43 Real-world challenges: preference shifts over time 10:30 Multi-turn autorating and usage simulation 11:35 Tie threshold variance across annotators 12:18 Long-context evaluation challenges 13:02 Confidence intervals and score uncertainty 14:00 Why LLM-as-a-judge fails to capture subjective human preference 15:20 The private information unobservable in human evaluation 16:14 Model evolved to be stronger makes training data harder 17:08 Signal vs. noise in human preference data 18:04 How do you autorate an autorater?

Where do autoraters break down? Arena researchers Li Chen and I-Hung Hsu walk through how they'd build an autorater from scratch — different kinds of autoraters, training objectives, what dimensions actually matter to rate on — then get into what makes it hard in practice: preference drift, multi-turn evaluation, tie threshold variance, and the gap between LLM-as-a-judge and real human subjectivity. Watch on YouTube to see the whiteboard details (link in 🧵 thread) 0:00 Evaluation granularity: general vs. per-category vs. per-response 2:05 Applications of autoraters as RL reward signals and test-time scaling 3:03 Output design for pairwise autorater: scores, comparison, and ties 4:03 Verbal and visual feedback autoraters 4:48 Training for pairwise autorater: Bradley-Terry loss, threshold design 9:43 Real-world challenges: preference shifts over time 10:30 Multi-turn autorating and usage simulation 11:35 Tie threshold variance across annotators 12:18 Long-context evaluation challenges 13:02 Confidence intervals and score uncertainty 14:00 Why LLM-as-a-judge fails to capture subjective human preference 15:20 The private information unobservable in human evaluation 16:14 Model evolved to be stronger makes training data harder 17:08 Signal vs. noise in human preference data 18:04 How do you autorate an autorater?

Arena.ai

20,757 views • 3 months ago

#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

#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 views • 1 year ago

Added 5 voice lines for each hero for situations when they are carrying the Spirit Jar and start stalling, standing still for too long, or delaying the delivery. (Timecodes for all heroes are below). #deadlock Abrams 00:00 - 00:32 Apollo 00:32 - 01:05 Bebop 01:05 - 01:42 Billy 01:42 - 02:07 Calico 02:07 - 02:39 Celeste 02:39 - 03:11 Paradox 03:11 - 03:50 Doorman 03:50 - 04:16 Drifter 04:16 - 04:49 Dynamo 04:49 - 05:22 Graves 05:22 - 05:55 Grey Talon 05:55 - 06:32 Haze 06:32 - 07:03 Holliday 07:03 - 07:40 Infernus 07:40 - 08:08 Ivy 08:08 - 08:34 Kelvin 08:34 - 09:09 Lady Geist 09:09 - 09:39 Lash 09:39 - 10:07 Sinclair 10:07 - 10:35 McGinnis 10:35 - 11:12 Mina 11:12 - 11:40 Mirage 11:40 - 12:08 Mo&Krill 12:08 - 12:32 Paige 12:32 - 12:58 Pocket 12:58 - 13:25 Rem 13:25 - 13:56 Seven 13:56 - 14:27 Shiv 14:27 - 15:01 Silver 15:01 - 15:39 Venator 15:39 - 16:10 Victor 16:10 - 16:42 Vindicta 16:42 - 17:21 Viscous 17:21 - 17:46 Vyper 17:46 - 18:18 Warden 18:18 - 18:47 Wraith 18:47 - 19:13 Yamato 19:13 - 19:47

Added 5 voice lines for each hero for situations when they are carrying the Spirit Jar and start stalling, standing still for too long, or delaying the delivery. (Timecodes for all heroes are below). #deadlock Abrams 00:00 - 00:32 Apollo 00:32 - 01:05 Bebop 01:05 - 01:42 Billy 01:42 - 02:07 Calico 02:07 - 02:39 Celeste 02:39 - 03:11 Paradox 03:11 - 03:50 Doorman 03:50 - 04:16 Drifter 04:16 - 04:49 Dynamo 04:49 - 05:22 Graves 05:22 - 05:55 Grey Talon 05:55 - 06:32 Haze 06:32 - 07:03 Holliday 07:03 - 07:40 Infernus 07:40 - 08:08 Ivy 08:08 - 08:34 Kelvin 08:34 - 09:09 Lady Geist 09:09 - 09:39 Lash 09:39 - 10:07 Sinclair 10:07 - 10:35 McGinnis 10:35 - 11:12 Mina 11:12 - 11:40 Mirage 11:40 - 12:08 Mo&Krill 12:08 - 12:32 Paige 12:32 - 12:58 Pocket 12:58 - 13:25 Rem 13:25 - 13:56 Seven 13:56 - 14:27 Shiv 14:27 - 15:01 Silver 15:01 - 15:39 Venator 15:39 - 16:10 Victor 16:10 - 16:42 Vindicta 16:42 - 17:21 Viscous 17:21 - 17:46 Vyper 17:46 - 18:18 Warden 18:18 - 18:47 Wraith 18:47 - 19:13 Yamato 19:13 - 19:47

Deadlock UA

176,606 views • 1 month ago

How To Buy A Farm As A “City Based Entrepreneur” (And Why You Should) (00:00) How to buy a farm as an entrepreneur (00:13) The benefits of living outside the city (00:48) Steps to buying a farm (01:36) Considerations for farm location (03:04) Understanding different types of soils (03:50) Amish community and limestone soils (04:18) Choosing the right farm location (04:41) Buying a farm with infrastructure (05:23) Advice for new farmers (05:58) Safety and caution on the farm (08:01) Best farmland in the world (09:57) Infrastructure and house (10:45) Buying a farm (11:06) Consulting services (13:27) Valleys and flat land (14:07) Bringing city amenities to the farm

How To Buy A Farm As A “City Based Entrepreneur” (And Why You Should) (00:00) How to buy a farm as an entrepreneur (00:13) The benefits of living outside the city (00:48) Steps to buying a farm (01:36) Considerations for farm location (03:04) Understanding different types of soils (03:50) Amish community and limestone soils (04:18) Choosing the right farm location (04:41) Buying a farm with infrastructure (05:23) Advice for new farmers (05:58) Safety and caution on the farm (08:01) Best farmland in the world (09:57) Infrastructure and house (10:45) Buying a farm (11:06) Consulting services (13:27) Valleys and flat land (14:07) Bringing city amenities to the farm

Tai Lopez

39,124 views • 1 year ago

Is Jason Arday just a liar? Peter Boghossian joins me on DarkHorse to discuss. 00:00:00 Jason Arday Exposes the Academy 00:02:34 Sponsor: Sundays for Dogs 00:04:25 Sponsor: Vanman 00:06:18 Evergreen Was the Warning 00:14:15 How DEI Creates a Niche for Fraud 00:17:27 What If Arday Was the Ultimate Hoax? 00:24:18 Sponsor: Branch Basics 00:26:10 When DEI Reaches High-Stakes Fields 00:34:53 Trust, Race and Meritocracy 00:50:46 The Academy Is Broken 00:58:08 What Can Be Done? 01:02:18 Will AI Replace the Trades? 01:07:33 The West Has an Honesty Crisis 01:10:44 The Consent of the Governed 01:15:43 Why We Need Difficult Conversations

Is Jason Arday just a liar? Peter Boghossian joins me on DarkHorse to discuss. 00:00:00 Jason Arday Exposes the Academy 00:02:34 Sponsor: Sundays for Dogs 00:04:25 Sponsor: Vanman 00:06:18 Evergreen Was the Warning 00:14:15 How DEI Creates a Niche for Fraud 00:17:27 What If Arday Was the Ultimate Hoax? 00:24:18 Sponsor: Branch Basics 00:26:10 When DEI Reaches High-Stakes Fields 00:34:53 Trust, Race and Meritocracy 00:50:46 The Academy Is Broken 00:58:08 What Can Be Done? 01:02:18 Will AI Replace the Trades? 01:07:33 The West Has an Honesty Crisis 01:10:44 The Consent of the Governed 01:15:43 Why We Need Difficult Conversations

Bret Weinstein

96,735 views • 12 days ago

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

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 views • 1 year ago

AI service firms are commanding 30x multiples right now. Yes, thirty. That's why a16z, Sequoia, and YC are chasing services, not SaaS. Most agencies will see this and reach for the wrong move. They'll keep selling hours, bolt on AI, and cut headcount to pad the margin. But that's playing the small game. Here's why: 00:00 Why Services Beat SaaS 01:13 The $1 Software vs $6 Services Opportunity 02:52 Why Managed Growth Loops Matter 04:49 Agents, Loops, and Human Judgment 06:43 How Single Brain Powers AI Service Businesses 07:22 The Services-as-Software Manifesto 08:41 The New AI-Native Org Chart 10:13 Building Outcome-Based Offers 11:13 Final Thoughts

AI service firms are commanding 30x multiples right now. Yes, thirty. That's why a16z, Sequoia, and YC are chasing services, not SaaS. Most agencies will see this and reach for the wrong move. They'll keep selling hours, bolt on AI, and cut headcount to pad the margin. But that's playing the small game. Here's why: 00:00 Why Services Beat SaaS 01:13 The $1 Software vs $6 Services Opportunity 02:52 Why Managed Growth Loops Matter 04:49 Agents, Loops, and Human Judgment 06:43 How Single Brain Powers AI Service Businesses 07:22 The Services-as-Software Manifesto 08:41 The New AI-Native Org Chart 10:13 Building Outcome-Based Offers 11:13 Final Thoughts

ericosiu

414,817 views • 2 months ago

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

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

172,640 views • 1 year ago

Could AI deserve rights before it even feels like anything to be an AI? Oxford moral philosopher Andreas Mogensen thinks... maybe. In her first interview for the 80,000 Hours Podcast my colleague Zershaaneh Qureshi pushes Andreas on that, as well as new arguments for why human extinction could be a good thing: The puzzle of moral patienthood (00:03:20) Is subjective experience necessary? (00:05:52) What is it to desire? (00:10:42) Desiring without experiencing (00:17:56) What would make AIs moral patients? (00:28:17) Another route entirely: deserving autonomy (00:45:12) Maybe there's no objective truth about any of this (01:12:06) Practical implications (01:29:21) Why not just let superintelligence figure this out for us? (01:38:07) How could human extinction be a good thing? (01:47:30) Lexical threshold negative utilitarianism (02:12:30) So... should we still try to prevent extinction? (02:25:22) What are the most important questions for people to address here? (02:32:16) Is God GDPR compliant? (02:35:32) Links below, enjoy!

Could AI deserve rights before it even feels like anything to be an AI? Oxford moral philosopher Andreas Mogensen thinks... maybe. In her first interview for the 80,000 Hours Podcast my colleague Zershaaneh Qureshi pushes Andreas on that, as well as new arguments for why human extinction could be a good thing: The puzzle of moral patienthood (00:03:20) Is subjective experience necessary? (00:05:52) What is it to desire? (00:10:42) Desiring without experiencing (00:17:56) What would make AIs moral patients? (00:28:17) Another route entirely: deserving autonomy (00:45:12) Maybe there's no objective truth about any of this (01:12:06) Practical implications (01:29:21) Why not just let superintelligence figure this out for us? (01:38:07) How could human extinction be a good thing? (01:47:30) Lexical threshold negative utilitarianism (02:12:30) So... should we still try to prevent extinction? (02:25:22) What are the most important questions for people to address here? (02:32:16) Is God GDPR compliant? (02:35:32) Links below, enjoy!

Rob Wiblin

10,720 views • 8 months ago

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

Ruslan Khairullin

16,872 views • 1 month ago

There’s NO Chance Trillions Move Onchain Until We Solve This | Rand from Zama 00:00 Why Crypto Needs Privacy 01:24 The Biggest Problem with Public Blockchains 02:34 HTTPS for Crypto 05:38 How Zama Brings Privacy to Ethereum & Solana 06:34 Why Privacy Is Making a Comeback 08:18 Building One Privacy Layer for Every Blockchain 10:11 How Confidential Transactions Work for Users 12:17 Will Privacy Become the Default? 13:00 Confidential USDC and Private DeFi Yields 14:07 Why Institutions Can't Adopt Blockchains Yet 16:11 Zama's Story: From AI Privacy to Blockchain 19:22 The Apex/T-Rex Partnership 21:13 How Shielded Assets Actually Work 23:07 Compliance, KYC, and Preventing Illicit Activity 26:53 Zama's Goal: Encrypt 95% of On-Chain Finance 28:20 Why This Is a Winner-Takes-All Market 29:00 Zama vs. Canton Explained 30:06 Final Thoughts

There’s NO Chance Trillions Move Onchain Until We Solve This | Rand from Zama 00:00 Why Crypto Needs Privacy 01:24 The Biggest Problem with Public Blockchains 02:34 HTTPS for Crypto 05:38 How Zama Brings Privacy to Ethereum & Solana 06:34 Why Privacy Is Making a Comeback 08:18 Building One Privacy Layer for Every Blockchain 10:11 How Confidential Transactions Work for Users 12:17 Will Privacy Become the Default? 13:00 Confidential USDC and Private DeFi Yields 14:07 Why Institutions Can't Adopt Blockchains Yet 16:11 Zama's Story: From AI Privacy to Blockchain 19:22 The Apex/T-Rex Partnership 21:13 How Shielded Assets Actually Work 23:07 Compliance, KYC, and Preventing Illicit Activity 26:53 Zama's Goal: Encrypt 95% of On-Chain Finance 28:20 Why This Is a Winner-Takes-All Market 29:00 Zama vs. Canton Explained 30:06 Final Thoughts

The Wolf Of All Streets

186,891 views • 1 month ago

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

205,444 views • 20 days ago

Ep 105 out now on X! Joe Lonsdale sits down with @mbrendan1, founder & chair of Cosmos Institute Harnessing AI for freedom vs control; doomsayers vs e/acc; training "philosopher builders"; why LLMs can't reason; and more. (00:00) Episode intro (02:04) Submarines to building AI companies (06:00) Why Philosopher Builders are needed (13:20) Why AI poses unique challenges (20:50) Doomsayers vs Accelerationists (25:50) Philosophical frameworks for human flourishing (30:10) Regulators & techno-authoritarians (37:34) AI running for political office? (40:07) LLMs don't know how to reason (42:30) Purpose of the Cosmos Institute

Ep 105 out now on X! Joe Lonsdale sits down with @mbrendan1, founder & chair of Cosmos Institute Harnessing AI for freedom vs control; doomsayers vs e/acc; training "philosopher builders"; why LLMs can't reason; and more. (00:00) Episode intro (02:04) Submarines to building AI companies (06:00) Why Philosopher Builders are needed (13:20) Why AI poses unique challenges (20:50) Doomsayers vs Accelerationists (25:50) Philosophical frameworks for human flourishing (30:10) Regulators & techno-authoritarians (37:34) AI running for political office? (40:07) LLMs don't know how to reason (42:30) Purpose of the Cosmos Institute

American Optimist

49,282 views • 1 year ago

Hash Rate - Ep. 75: Bittensor Bull Vibes $TAO +130% 🧙‍♂️Guest: JJ $TAO is up 130% this month. Why? And what's next? 00:00 Introduction and Excitement for BitTensor 02:56 Understanding Proof of Work and BitTensor's Unique Approach 06:09 The Evolution of BitTensor: From Single Network to Subnets 08:58 Incentive Mechanisms and the Role of Subnets 11:50 The Importance of Data Labeling and AI Development 14:59 Monetization and the Duality of Capitalism in BitTensor 18:07 Comparing BitTensor to Bitcoin Mining 21:01 The Future of Fiat and Cryptocurrency 24:00 The Role of Subnets in AI and Market Dynamics 34:40 The Evolution of BitTensor and Token Dynamics 42:20 The Future of TAO and Its Market Potential 50:06 Human Potential vs. Artificial General Intelligence 56:00 BitTensor's Unique Value Proposition 01:02:45 Upcoming Innovations and EVM Integration Get a Ledger: Messari Pro (15% off code): MARKJEFFREY15 Also Available on YouTube / Apple / Amazon / Spotify

Hash Rate - Ep. 75: Bittensor Bull Vibes $TAO +130% 🧙‍♂️Guest: JJ $TAO is up 130% this month. Why? And what's next? 00:00 Introduction and Excitement for BitTensor 02:56 Understanding Proof of Work and BitTensor's Unique Approach 06:09 The Evolution of BitTensor: From Single Network to Subnets 08:58 Incentive Mechanisms and the Role of Subnets 11:50 The Importance of Data Labeling and AI Development 14:59 Monetization and the Duality of Capitalism in BitTensor 18:07 Comparing BitTensor to Bitcoin Mining 21:01 The Future of Fiat and Cryptocurrency 24:00 The Role of Subnets in AI and Market Dynamics 34:40 The Evolution of BitTensor and Token Dynamics 42:20 The Future of TAO and Its Market Potential 50:06 Human Potential vs. Artificial General Intelligence 56:00 BitTensor's Unique Value Proposition 01:02:45 Upcoming Innovations and EVM Integration Get a Ledger: Messari Pro (15% off code): MARKJEFFREY15 Also Available on YouTube / Apple / Amazon / Spotify

Mark Jeffrey

55,939 views • 1 year ago

"The commodity markets are not for entertainment." Former CFTC Commissioner and SEC General Counsel Dan Berkovitz joins Rebecca Rettig and Renato Mariotti on this week's The Policy Protocol to break down the ‘economic purpose’ test for prediction markets and the CME–CFTC fight over perps. Plus, Jamie McDonald makes person of the week. Timecodes: 00:00 The Role of CFTC 00:25 Welcome to The Policy Protocol 00:44 The Record SpaceX IPO and Retail Demand 01:41 Synthetic SpaceX Perps on Hyperliquid 03:40 Terry Duffy Exits CME and Sues the CFTC 06:07 Dan Berkovitz Joins the Show 06:44 Can the SEC and CFTC Harmonize? 08:29 Are Perpetuals Swaps or Futures? 09:11 Prediction Markets and the 'Economic Purpose' Test 11:07 The ErisX Sports Betting Precedent 13:07 The Hurricane Hedging Counterargument 15:02 Why Crypto Couldn't 'Come In and Register' Before 17:28 Gary Gensler Is Back 20:27 Person of the Week: Jamie McDonald

"The commodity markets are not for entertainment." Former CFTC Commissioner and SEC General Counsel Dan Berkovitz joins Rebecca Rettig and Renato Mariotti on this week's The Policy Protocol to break down the ‘economic purpose’ test for prediction markets and the CME–CFTC fight over perps. Plus, Jamie McDonald makes person of the week. Timecodes: 00:00 The Role of CFTC 00:25 Welcome to The Policy Protocol 00:44 The Record SpaceX IPO and Retail Demand 01:41 Synthetic SpaceX Perps on Hyperliquid 03:40 Terry Duffy Exits CME and Sues the CFTC 06:07 Dan Berkovitz Joins the Show 06:44 Can the SEC and CFTC Harmonize? 08:29 Are Perpetuals Swaps or Futures? 09:11 Prediction Markets and the 'Economic Purpose' Test 11:07 The ErisX Sports Betting Precedent 13:07 The Hurricane Hedging Counterargument 15:02 Why Crypto Couldn't 'Come In and Register' Before 17:28 Gary Gensler Is Back 20:27 Person of the Week: Jamie McDonald

CoinDesk

28,298 views • 2 months ago

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Michael Bolin (Michael Bolin) is the tech lead of the Codex open source repository at OpenAI and formerly a distinguished eng (E9) at Meta. I asked him for all the details on his career story and how he uses Codex for max benefit. Timestamps: 00:00:00 - Intro 00:00:56 - Chickenfoot 00:02:45 - Working at Google 00:06:34 - Overhauling Facebook's build system 00:16:36 - Rewriting Facebook's IDE 00:26:01 - Struggles after Principal Eng (E8) promo 00:28:39 - Building a virtual filesystem for Facebook 00:35:47 - Delayed Distinguished promo (E9) and learnings 00:39:56 - Joining OpenAI 00:43:05 - Research-led vs engineering-led cultures 00:44:53 - The story behind Codex 00:51:00 - How he uses Codex 00:57:00 - Why Codex's harness is open source 00:59:50 - Top technical book recommendations 01:05:02 - Why deep technical skills are still valuable (for now) 01:11:07 - How to start projects well 01:14:27 - Advice on writing better and career planning 01:17:06 - Advice for his younger self 01:19:10 - Outro He was a dream guest of mine and I'm excited to share his story with you all! Other places to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Ryan Peterman

119,601 views • 5 months ago

Ethereum’s Institutional Era Has Arrived Sharplink CEO Joseph Chalom joins Gareth Jenkinson at Consensus to explain why SharpLink has taken an institutional-first approach to Ethereum treasury management, and why he believes ETH is uniquely positioned for the next phase of tokenization and onchain finance. OUTLINE 00:00 - Introduction 00:51 - Ethereum Treasury Companies 02:25 - SharpLink vs BitMine 04:25 - Ethereum vs Bitcoin 06:14 - Managing Volatility 07:55 - BlackRock and Tokenization 10:00 - The Future of Finance 10:59 - Geopolitical Risk 12:08 - Ethereum’s Long-Term Value 13:09 - Closing Thoughts

Ethereum’s Institutional Era Has Arrived Sharplink CEO Joseph Chalom joins Gareth Jenkinson at Consensus to explain why SharpLink has taken an institutional-first approach to Ethereum treasury management, and why he believes ETH is uniquely positioned for the next phase of tokenization and onchain finance. OUTLINE 00:00 - Introduction 00:51 - Ethereum Treasury Companies 02:25 - SharpLink vs BitMine 04:25 - Ethereum vs Bitcoin 06:14 - Managing Volatility 07:55 - BlackRock and Tokenization 10:00 - The Future of Finance 10:59 - Geopolitical Risk 12:08 - Ethereum’s Long-Term Value 13:09 - Closing Thoughts

The Block

19,040 views • 3 months ago

NEWS: Elon Musk gave a 30-minute lecture on Neuralink last month at the 2024 Congress of Neurological Surgeons (CNS). 01:26 BCI and the Bandwidth Problem 07:01 Applications and World Records 09:25 Timeline for Exceeding Human Performance 12:09 Vertical Integration, Recovering Implant Function 13:07 The R1 Robot and LASIK Metaphor 16:54 Technical Challenges with BCI 19:49 Brain Surgery or Rocket Science? 21:48 Treatment of Disease 24:47 Digital Bridge to Unlocking Human Potential 27:00 N1 Implant Upgrades and Reversibility 28:56 Scaling and Access, The 600-Second Surgery 30:38 Physics and Musk Philosophy on the Possible 32:06 Neuronal Signatures and Network Detection 34:09 Final Thoughts for Neurosurgeons

Sensitive content

NEWS: Elon Musk gave a 30-minute lecture on Neuralink last month at the 2024 Congress of Neurological Surgeons (CNS). 01:26 BCI and the Bandwidth Problem 07:01 Applications and World Records 09:25 Timeline for Exceeding Human Performance 12:09 Vertical Integration, Recovering Implant Function 13:07 The R1 Robot and LASIK Metaphor 16:54 Technical Challenges with BCI 19:49 Brain Surgery or Rocket Science? 21:48 Treatment of Disease 24:47 Digital Bridge to Unlocking Human Potential 27:00 N1 Implant Upgrades and Reversibility 28:56 Scaling and Access, The 600-Second Surgery 30:38 Physics and Musk Philosophy on the Possible 32:06 Neuronal Signatures and Network Detection 34:09 Final Thoughts for Neurosurgeons

ALEX

5,035,149 views • 1 year ago