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Why Can’t College Students Do Middle School Math? New Math Academy podcast episode with Jason Roberts – posted here and everywhere else (see comment) 0:00 - Introduction 2:11 - Freshmen math collapse: 1 in 12 UCSD freshmen don't know middle school math 6:45 - Remedial remedial math: UCSD created...

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Justin Skycak

35,189 subscribers

600,088 次观看 • 8 个月前 •via X (Twitter)

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I had a fantastic time discussing with the learning legend Justin Skycak from Math Academy about learning math in the modern age. we've talked about his quite impressive self-learning journey (3000h of math in high school) all the way to how he hand curated the initial knowledge graph for math academy to make that process more efficient. great lively 3h discussion here are the chapters: 0:00:00 - intro: 0:02:10 - justin background 0:05:45 - 3000h math self study in high school 0:11:45 - what a day looked like for that 3000h stretch 0:16:10 - meta-learning vs pure math learning 0:21:50 - when did you get into cognitive neuro? 0:29:55 - how did the fundamental math helped in your research projects 0:43:10 - what does the math academy learning system looks like 0:47:34 - how did you guys build the 2000 topic knowledge graph 1:01:15 - would LLM be useful as an interface to that knowledge graph for the students? 1:10:46 - how does the FIRe spaced repetition algorithm works? 1:17:34 - does the same knowledge graph structure would work for physics? or other topic?: 1:34:05 - how do you understand the subject vs the curiculum 1:35:50 - is there a connection between studying math and learning a sport? 1:42:00 - do you think in math doing and teaching requires different skills? 1:56:25 - could you get understanding without automaticy? 2:05:35 - do you see any upside of confusion in learning? 2:14:11 - learning math as an adult? 2:19:20 - how to fill the motivation gap after learning the fundamental? 2:24:10 - how should teaching math for kids and adults balance fundamentals and creativity? 2:33:55 - is it ever too late to learn math seriously? 2:46:00 - mastery learning vs ultra learning 2:51:30 - top-down vs bottom-up 2:53:40 - mastery learning for domain without a structured hierarchical structure? 2:56:30 - neurodivergence / adhd for structured math learning? 3:06:20 - amateur mathematician augmented with technology will be able to contribute to research? 3:14:37 - what are you most excited about right now in term of learning enjoy!
3:18:00

I had a fantastic time discussing with the learning legend Justin Skycak from Math Academy about learning math in the modern age. we've talked about his quite impressive self-learning journey (3000h of math in high school) all the way to how he hand curated the initial knowledge graph for math academy to make that process more efficient. great lively 3h discussion here are the chapters: 0:00:00 - intro: 0:02:10 - justin background 0:05:45 - 3000h math self study in high school 0:11:45 - what a day looked like for that 3000h stretch 0:16:10 - meta-learning vs pure math learning 0:21:50 - when did you get into cognitive neuro? 0:29:55 - how did the fundamental math helped in your research projects 0:43:10 - what does the math academy learning system looks like 0:47:34 - how did you guys build the 2000 topic knowledge graph 1:01:15 - would LLM be useful as an interface to that knowledge graph for the students? 1:10:46 - how does the FIRe spaced repetition algorithm works? 1:17:34 - does the same knowledge graph structure would work for physics? or other topic?: 1:34:05 - how do you understand the subject vs the curiculum 1:35:50 - is there a connection between studying math and learning a sport? 1:42:00 - do you think in math doing and teaching requires different skills? 1:56:25 - could you get understanding without automaticy? 2:05:35 - do you see any upside of confusion in learning? 2:14:11 - learning math as an adult? 2:19:20 - how to fill the motivation gap after learning the fundamental? 2:24:10 - how should teaching math for kids and adults balance fundamentals and creativity? 2:33:55 - is it ever too late to learn math seriously? 2:46:00 - mastery learning vs ultra learning 2:51:30 - top-down vs bottom-up 2:53:40 - mastery learning for domain without a structured hierarchical structure? 2:56:30 - neurodivergence / adhd for structured math learning? 3:06:20 - amateur mathematician augmented with technology will be able to contribute to research? 3:14:37 - what are you most excited about right now in term of learning enjoy!

Yacine Mahdid

57,320 次观看 • 5 个月前

Tom Lehrer - In Memoriam (1928-2025) Tribute Concert by Kylan deGhetaldi 🙏 1. The Irish Ballad - 1:54 2. The Elements (Updated + Aristotle Version) - 7:03 3. In Old Mexico - 12:24 4. The Masochism Tango - 17:57 5. Who’s Next? (Updated) - 22:04 6. Oedipus Rex - 25:51 7. My Home Town - 28:26 8. Poisoning Pigeons in the Park - 31:28 9. Pollution - 34:33 10. She’s My Girl - 38:05 11. L-Y - 43:04 12. O-U (The Hound Song) - 45:58 13. The Love Song of the Physical Anthropologist (Updated) - 48:11 14. The Old Dope Peddler - 40:44 15. The Folk Song Army - 51:59 16. The Wild West Is Where I Want to Be - 55:12 17. National Brotherhood Week (Updated) - 58:47 18. Selling Out - 1:02:21 19. No Rice (It’s Gotta Just Happen) - 1:07:27 20. N Apostrophe T - 1:12:15 21. Silent E - 1:15:42 22. Silent E (Private Version) - 1:18:22 23. I Hold Your Hand in Mine - 1:19:37 24. So Long, Mom (A Song for World War III) (Updated) - 1:21:43 25. When You Are Old and Gray - 1:24:09 26. (I’m Spending) Hanukkah in Santa Monica - 1:27:31 27. Political Action Song - 1:30:15 28. Without an “S” - 1:32:33 29. Be Prepared - 1:36:52 30. New Math - 1:41:00 31. That’s Mathematics - 1:47:17 32. I Wanna Go Back to Dixie - 1:52:11 33. I Got It From Agnes - 1:54:35 34. Alma - 1:57:38 35. MLF Lullaby - 2:02:54 36. Wernher von Braun (Updated) - 2:07:17 37. Lobachevsky - 2:17:33 38. Deep Doodoo - 2:25:31 39. The Vatican Rag - 2:30:10 40. We Will All Go Together When We Go - 2:34:46
2:40:30

Tom Lehrer - In Memoriam (1928-2025) Tribute Concert by Kylan deGhetaldi 🙏 1. The Irish Ballad - 1:54 2. The Elements (Updated + Aristotle Version) - 7:03 3. In Old Mexico - 12:24 4. The Masochism Tango - 17:57 5. Who’s Next? (Updated) - 22:04 6. Oedipus Rex - 25:51 7. My Home Town - 28:26 8. Poisoning Pigeons in the Park - 31:28 9. Pollution - 34:33 10. She’s My Girl - 38:05 11. L-Y - 43:04 12. O-U (The Hound Song) - 45:58 13. The Love Song of the Physical Anthropologist (Updated) - 48:11 14. The Old Dope Peddler - 40:44 15. The Folk Song Army - 51:59 16. The Wild West Is Where I Want to Be - 55:12 17. National Brotherhood Week (Updated) - 58:47 18. Selling Out - 1:02:21 19. No Rice (It’s Gotta Just Happen) - 1:07:27 20. N Apostrophe T - 1:12:15 21. Silent E - 1:15:42 22. Silent E (Private Version) - 1:18:22 23. I Hold Your Hand in Mine - 1:19:37 24. So Long, Mom (A Song for World War III) (Updated) - 1:21:43 25. When You Are Old and Gray - 1:24:09 26. (I’m Spending) Hanukkah in Santa Monica - 1:27:31 27. Political Action Song - 1:30:15 28. Without an “S” - 1:32:33 29. Be Prepared - 1:36:52 30. New Math - 1:41:00 31. That’s Mathematics - 1:47:17 32. I Wanna Go Back to Dixie - 1:52:11 33. I Got It From Agnes - 1:54:35 34. Alma - 1:57:38 35. MLF Lullaby - 2:02:54 36. Wernher von Braun (Updated) - 2:07:17 37. Lobachevsky - 2:17:33 38. Deep Doodoo - 2:25:31 39. The Vatican Rag - 2:30:10 40. We Will All Go Together When We Go - 2:34:46

foundring 🇺🇸

16,212 次观看 • 1 年前

Timestamps of the 47 topics addressed by Elon Musk a few hours ago in Pittsburgh. 1:49 Special guest: Senator James McCormick 7:22 Winner of the $1 million prize 10:43 Importance of registration 11:58 Risk of assassination attempts 13:55 The left is against free speech 17:06 It's illegal to show voter ID 19:24 We want to do exciting things 21:40 Key reasons to reelect Trump 27:14 No wish to do politics but stakes are high 33:02 How to support business opportunities 35:01 Is Elon considering running in 2028? 39:10 Abortion and education around having kids 44:25 Nuclear power is safe 48:42 Be wary of AI 49:37 There will be an increase in robots 53:01 Elon's son will go to college in Pittsburgh 55:01 Protecting children 57:38 Stopping propaganda for children 58:53 Every expenditure should serve people 59:55 Subscribe to X Premium 1:02:14 Optimism grounded in realism 1:04:30 Approving drugs faster 1:08:26 Medical tech should be approved faster 1:10:06 AI and medicine 1:13:02 Solve back pain 1:13:24 Children sex-trafficking 1:15:07 How to handle puppet masters 1:17:16 The more government, the less freedom 1:19:53 Taxes are getting out of hand 1:21:02 Big pharma 1:22:34 New technologies should help people 1:24:50 Ban voting machines 1:28:04 No incentive for nothing 1:30:16 Crypto is good against central control 1:31:09 Many expenditures should be 0 1:33:23 Respect for those who are useful 1:34:23 Aliens must be subtle 1:36:03 Don't damage art 1:37:58 Dogecoin is the most fun crypto 1:41:06 People should worry less and have kids 1:41:53 There will be opposition to reducing spending 1:42:57 The risk is an oppressive totalitarian state 1:46:36 Doing things that are important 1:50:06 We should allow teachers to protect students 1:52:27 Why are some voted not counted 1:56:22 AI will be help people understand 1:57:47 Be loud about your concerns
2:00:15

Timestamps of the 47 topics addressed by Elon Musk a few hours ago in Pittsburgh. 1:49 Special guest: Senator James McCormick 7:22 Winner of the $1 million prize 10:43 Importance of registration 11:58 Risk of assassination attempts 13:55 The left is against free speech 17:06 It's illegal to show voter ID 19:24 We want to do exciting things 21:40 Key reasons to reelect Trump 27:14 No wish to do politics but stakes are high 33:02 How to support business opportunities 35:01 Is Elon considering running in 2028? 39:10 Abortion and education around having kids 44:25 Nuclear power is safe 48:42 Be wary of AI 49:37 There will be an increase in robots 53:01 Elon's son will go to college in Pittsburgh 55:01 Protecting children 57:38 Stopping propaganda for children 58:53 Every expenditure should serve people 59:55 Subscribe to X Premium 1:02:14 Optimism grounded in realism 1:04:30 Approving drugs faster 1:08:26 Medical tech should be approved faster 1:10:06 AI and medicine 1:13:02 Solve back pain 1:13:24 Children sex-trafficking 1:15:07 How to handle puppet masters 1:17:16 The more government, the less freedom 1:19:53 Taxes are getting out of hand 1:21:02 Big pharma 1:22:34 New technologies should help people 1:24:50 Ban voting machines 1:28:04 No incentive for nothing 1:30:16 Crypto is good against central control 1:31:09 Many expenditures should be 0 1:33:23 Respect for those who are useful 1:34:23 Aliens must be subtle 1:36:03 Don't damage art 1:37:58 Dogecoin is the most fun crypto 1:41:06 People should worry less and have kids 1:41:53 There will be opposition to reducing spending 1:42:57 The risk is an oppressive totalitarian state 1:46:36 Doing things that are important 1:50:06 We should allow teachers to protect students 1:52:27 Why are some voted not counted 1:56:22 AI will be help people understand 1:57:47 Be loud about your concerns

ELON CLIPS

6,379,959 次观看 • 1 年前

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

1,231,510 次观看 • 1 年前

E136: How to Build Wealth in an AI Economy - and The Role of Crypto - Selini Capital Founder and CIO Jordi Alexander breaks down why the concept of retirement is obsolete in a world of AI, fiat dilution, and exponential wealth creation - and how crypto is the cleanest hedge we have. Timestamps 0:00 Introduction 1:59 Partnerships Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 3:00 Surviving on Five Hours 4:31 Years of Growth 5:28 Who is Jordi Alexander? 7:22 No Voice in My Head 9:52 Self Custody with Trezor 10:45 Beyond Money and Work 13:23 Chip on the Shoulder 15:38 Moving Continents, Changing Self 17:12 Why $100K Feels Poor 19:05 When Money Stops Working 25:00 Judgement is Currency 27:05 Why Retirement Doesn’t Exist 30:18 Why Old Money Fades 33:27 Being Valuable to Society 35:03 Why Cash Loses Value 39:30 Why Stocks Can’t Beat Inflation 42:00 Crypto and the Next Frontier 44:03 Where Is Wealth Truly Safe? 48:53 Why Bitcoin Is the Bet 54:55 Altcoin Cycles Explained 56:57 Why Most Traders Lose 1:00:14 The Financial Death Wish 1:04:50 Winners, Losers, and NPCs 1:09:21 Clicks vs Credibility in Crypto 1:13:13 Rethinking the Retirement Mindset 1:14:33 Becoming Economically Productive 1:17:30 EQ and IQ 1:18:16 Escaping Survival Mode 1:20:40 Wealth Without Luck 1:21:26 Judging Who to Trust 1:25:27 Inefficiency is Opportunity 1:27:28 From Survival to Superpowers 1:29:34 Scaling Beyond Survival 1:31:02 Playing Offense 1:33:49 Bitcoin: Offense or Defense? 1:34:55 Beyond Four Year Cycles 1:36:57 Early in the Game 1:37:58 Destroying your Ego 1:42:57 Small Errors, Big Consequences 1:46:01 A Timeless Thesis 1:48:36 The Cost of Burnout 1:51:09 Protecting Your Time 1:52:47 Poker Productivity 1:55:14 Knowing When to Let Go 1:57:45 Seeing How the River Changes
1:58:21

E136: How to Build Wealth in an AI Economy - and The Role of Crypto - Selini Capital Founder and CIO Jordi Alexander breaks down why the concept of retirement is obsolete in a world of AI, fiat dilution, and exponential wealth creation - and how crypto is the cleanest hedge we have. Timestamps 0:00 Introduction 1:59 Partnerships Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 3:00 Surviving on Five Hours 4:31 Years of Growth 5:28 Who is Jordi Alexander? 7:22 No Voice in My Head 9:52 Self Custody with Trezor 10:45 Beyond Money and Work 13:23 Chip on the Shoulder 15:38 Moving Continents, Changing Self 17:12 Why $100K Feels Poor 19:05 When Money Stops Working 25:00 Judgement is Currency 27:05 Why Retirement Doesn’t Exist 30:18 Why Old Money Fades 33:27 Being Valuable to Society 35:03 Why Cash Loses Value 39:30 Why Stocks Can’t Beat Inflation 42:00 Crypto and the Next Frontier 44:03 Where Is Wealth Truly Safe? 48:53 Why Bitcoin Is the Bet 54:55 Altcoin Cycles Explained 56:57 Why Most Traders Lose 1:00:14 The Financial Death Wish 1:04:50 Winners, Losers, and NPCs 1:09:21 Clicks vs Credibility in Crypto 1:13:13 Rethinking the Retirement Mindset 1:14:33 Becoming Economically Productive 1:17:30 EQ and IQ 1:18:16 Escaping Survival Mode 1:20:40 Wealth Without Luck 1:21:26 Judging Who to Trust 1:25:27 Inefficiency is Opportunity 1:27:28 From Survival to Superpowers 1:29:34 Scaling Beyond Survival 1:31:02 Playing Offense 1:33:49 Bitcoin: Offense or Defense? 1:34:55 Beyond Four Year Cycles 1:36:57 Early in the Game 1:37:58 Destroying your Ego 1:42:57 Small Errors, Big Consequences 1:46:01 A Timeless Thesis 1:48:36 The Cost of Burnout 1:51:09 Protecting Your Time 1:52:47 Poker Productivity 1:55:14 Knowing When to Let Go 1:57:45 Seeing How the River Changes

MR SHIFT 🦁

325,871 次观看 • 1 年前

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team
1:13:20

I asked Dan Martell to walk me through every level of making money with AI. He gave me the most simple, practical advice I've ever heard on this subject. Level 1 - Making $0 - $100k Level 2 - Making $1m - $10m Level 3 - Building a $10m++ enterprise. 0:00 Only 5% of the World Has Ever Paid for AI 0:46 The Easiest Thing to Sell With AI Right Now 1:56 The Marcus and Sophie Framework 4:24 Theory of Constraints (Right Problem to Solve) 5:33 What Is the Number One Business Constraint 7:13 How to Leave Your Job and Go All In 8:27 Business Is Simple Find a Problem and Solve It 9:08 Stop Getting Ready to Get Ready 9:33 The Sarah Story One Text and $10K 9:53 Pull Up Your Phone and Message Your Contacts 11:05 Dan's Son Gets His First Client at $800/Month 12:41 Best Employee vs. Best Employer 13:59 What Other Services Can You Sell With AI 14:44 Sales Is Not Talking It's Asking 17:01 What to Do When You Hate Your Business 18:40 Pain and Pleasure Are the Only Two Motivators 19:13 They Haven't Made It a Must Yet 20:29 Make It a Must Not a Nice to Have 21:06 The Jen Story and the Gasping Moment 22:17 How to Find Your First 10 to 15 Clients 28:38 The Personal Brand Play 33:06 Vision Is What AI Cannot Do 34:55 Hard for Computers Easy for Humans 36:13 Level 2 Making Your First Million With AI 37:18 The Replacement Ladder Framework 37:39 Admin First Then Delivery Then Marketing 39:09 Why Marketing Is the Biggest AI Category 39:32 Why You Should Keep Sales for Yourself 40:00 Level 5 Leadership and AI Agents 41:41 What a Fully AI Systems Business Looks Like 43:13 The Gym Owner With Three Locations 46:16 Shutting Down the Company for Two Days 46:37 Teaching the Whole Team to Code in Claude 49:28 Wayne the 62 Year Old Who Made $12K a Month 52:38 I Only Share What Actually Works 53:21 Whisper Flow and Talking to Your AI 56:41 Claude Chat Claude Coworker and Claude Code 57:57 The Claude Browser Extension 58:49 Claude Code Is Not Just for Developers 1:00:06 How to Migrate Your AI Memory Across Tools 1:01:08 Level 3 $1M to $10M and the Brand Play 1:02:05 Nobody Buys AI They Buy Trust 1:03:25 Brand Is Association and Association Is Trust 1:05:12 A Million Followers Is $10M in Activated Revenue 1:07:03 How to Keep AI From Becoming Slop 1:07:42 Human in the Loop 1:08:16 The 10 80 10 Rule and Why AI Is Now the 80 1:10:01 The Team FIRED Themselves 1:11:45 Dan's Free AI Curriculum for Your Team

Grant

168,385 次观看 • 2 个月前

tylercowen is bullish on AI education — here's why. 00:00 -- Preview 00:24 -- President Carlos Carvalho's AI-generated intro 03:21 -- Cowen reacts to UATX's campus 04:38 -- The AI revolution is here. Who will lose the most? 06:05 -- AI lawyers 07:17 -- Don't underestimate this 10:41 -- Changes to the "upper upper middle class" 12:38 -- How to be successful 13:43 -- The rise of managerial empires 14:02 -- When will we have the first billion dollar company with one employee? 16:05 -- 10-20 year forecast 16:19 -- Why education is so behind 17:01 -- Should you be bullish on UATX? 18:36 -- Should you still read Homer? 21:50 -- Write to think 25:01 -- Meet more people 25:42 -- How to get hired 26:54 -- Is AI your best mentor? 38:17 -- How to curb cheating 39:02 -- The new life of the mind 42:34 -- Q&A: Will there be more status associated with real education or AI education? 45:50 -- Q&A: Why do tech-savvy students need to practice using AI? 47:56 -- Q&A: Do LLMs atrophy your mind? 49:29 -- Q&A: How do you avoid AI-dependency? 51:05 -- Q&A: Isn't this vision lonely and isolating? 53:06 -- Q&A: Do students need teachers? 55:36 -- Q&A: What are the four most important courses for undergrads? 57:49 -- Q&A: Which AI company will win the AI race in the next five years and why? 59:22 -- Q&A: Can AI teach religion? 01:01:32 -- Q&A: Will AI narrow or widen our world? 01:04:37 -- Q&A: What makes us human? 01:05:42 -- Q&A: What is art? 01:08:33 -- Q&A: It's easy to catch cheaters
1:10:31

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

University of Austin (UATX)

27,770 次观看 • 7 个月前

From heavyweight champion to cannabis entrepreneur, Mike Tyson shares the untold stories of his life, career, and latest business venture. 0:00 - Introduction 1:16 - On being a history buff 3:10 - Advice for making a comeback 3:57 - Pump-up speech 5:02 - Go-to breakfast, lunch, and dessert 5:38 - Grocery shopping as a public figure 6:50 - His wife’s role in his success 8:07 - On fatherhood 9:14 - Best family vacation 11:13 - Favorite age to parent 12:11 - The beginning of his boxing career 12:55 - Moving from Brooklyn to upstate New York as a child 14:06 - On longtime friendships 14:37 - Craziest publicly unknown crime he's committed 14:58 - The secret to a long-lasting marriage 15:24 - "Would you rather" questions 17:25 - Scariest moment with his pet tiger 20:13 - First experience with cannabis 21:17 - On medical marijuana 22:37 - Rescheduling marijuana 25:15 - The path forward for Tyson 2.0 26:22 - Roadblocks to legalization 27:15 - Effects of the cannabis black market 28:21 - The taboo around cannabis 28:52 - Cannabis use in professional sports 29:59 - Advocating for cannabis while being a role model 31:03 - His past fentanyl use 32:00 - Lessons learned while running a cannabis business 36:32 - Current songs on his playlist 36:59 - Television shows he's watching right now 37:19 - The last great book he read 38:10 - Thoughts on Ozempic 38:45 - Favorite animal 39:38 - Wildest rumor about him 40:12 - Future plans 40:44 - On charitable service 41:25 - Favorite travel destination
41:53

From heavyweight champion to cannabis entrepreneur, Mike Tyson shares the untold stories of his life, career, and latest business venture. 0:00 - Introduction 1:16 - On being a history buff 3:10 - Advice for making a comeback 3:57 - Pump-up speech 5:02 - Go-to breakfast, lunch, and dessert 5:38 - Grocery shopping as a public figure 6:50 - His wife’s role in his success 8:07 - On fatherhood 9:14 - Best family vacation 11:13 - Favorite age to parent 12:11 - The beginning of his boxing career 12:55 - Moving from Brooklyn to upstate New York as a child 14:06 - On longtime friendships 14:37 - Craziest publicly unknown crime he's committed 14:58 - The secret to a long-lasting marriage 15:24 - "Would you rather" questions 17:25 - Scariest moment with his pet tiger 20:13 - First experience with cannabis 21:17 - On medical marijuana 22:37 - Rescheduling marijuana 25:15 - The path forward for Tyson 2.0 26:22 - Roadblocks to legalization 27:15 - Effects of the cannabis black market 28:21 - The taboo around cannabis 28:52 - Cannabis use in professional sports 29:59 - Advocating for cannabis while being a role model 31:03 - His past fentanyl use 32:00 - Lessons learned while running a cannabis business 36:32 - Current songs on his playlist 36:59 - Television shows he's watching right now 37:19 - The last great book he read 38:10 - Thoughts on Ozempic 38:45 - Favorite animal 39:38 - Wildest rumor about him 40:12 - Future plans 40:44 - On charitable service 41:25 - Favorite travel destination

The Katie Miller Podcast

1,395,936 次观看 • 1 年前

DROPS E4: redactedcoin : From NFT craze to Web3 Top Accelerator In this 4th episode of DROPS, our podcast series for upcoming crypto founders, I sit down with shan , the CoFounder & CEO of redactedcoin , PG and Jirasan 🔴 Right on time for the $RDAC TGE day! Timestamps 0:00 Introduction 1:25 Welcome to DROPS 2:02 City Living Trade-Offs 4:13 FUD is Fun in Web3 5:09 Dealing With Online Hate 5:55 Turning FUD into Fun 7:00 The 24 Hour Rule 9:36 Who is Shan? 10:33 Growing up in India 12:27 Studying Abroad 14:17 Working for Tesla 16:30 The Humanoid Robot Race 18:40 Hedging Big Tech Bets 20:21 Investing With the Right Circle 21:52 Building Something That Matters 24:37 Building in Web2.5 27:10 Becoming a Crypto Founder 31:17 From Advisor to Co-Founder 33:22 Managing NFT Treasury Funds 36:58 From NFTs to Consulting 41:57 Lessons Learned from Consulting 44:38 Launching PG Capital 48:29 What is Redacted? 51:44 Where Redacted Got Its Name 52:50 Why would and Accelerator launch a Token? 55:26 When a Product Fails 57:27 Aligning Investor & Founder Interest 59:27 No Unlock Without Market Cap 1:01:55 Founder Funds and Belief 1:05:22 Future of Redacted 1:08:13 Judge Teams By Actions 1:10:45 Concluding Remarks
1:11:07

DROPS E4: redactedcoin : From NFT craze to Web3 Top Accelerator In this 4th episode of DROPS, our podcast series for upcoming crypto founders, I sit down with shan , the CoFounder & CEO of redactedcoin , PG and Jirasan 🔴 Right on time for the $RDAC TGE day! Timestamps 0:00 Introduction 1:25 Welcome to DROPS 2:02 City Living Trade-Offs 4:13 FUD is Fun in Web3 5:09 Dealing With Online Hate 5:55 Turning FUD into Fun 7:00 The 24 Hour Rule 9:36 Who is Shan? 10:33 Growing up in India 12:27 Studying Abroad 14:17 Working for Tesla 16:30 The Humanoid Robot Race 18:40 Hedging Big Tech Bets 20:21 Investing With the Right Circle 21:52 Building Something That Matters 24:37 Building in Web2.5 27:10 Becoming a Crypto Founder 31:17 From Advisor to Co-Founder 33:22 Managing NFT Treasury Funds 36:58 From NFTs to Consulting 41:57 Lessons Learned from Consulting 44:38 Launching PG Capital 48:29 What is Redacted? 51:44 Where Redacted Got Its Name 52:50 Why would and Accelerator launch a Token? 55:26 When a Product Fails 57:27 Aligning Investor & Founder Interest 59:27 No Unlock Without Market Cap 1:01:55 Founder Funds and Belief 1:05:22 Future of Redacted 1:08:13 Judge Teams By Actions 1:10:45 Concluding Remarks

MR SHIFT 🦁

89,758 次观看 • 1 年前

E120: Raoul Pal: Welcome to phase 2 of the Banana zone! 🍌🍌 In this 90-minute enlightening and hilarious conversation, Raoul Pal unpacks why everyone — and their mom — thought the bull market was dead and collectively lost it online… while he was sipping wine and dishing out insults from the sidelines on his live streams. This is Raoul’s first appearance on a podcast in over four months — in case there was any doubt, Banana Zone Phase 2 mode is ON! Timestamps 0:00 Introduction 2:02 Partnerships: Jupiter , Kast, SUI, 2:48 Crazy Bitcoin Returns 5:09 What is KAST (old) 6:52 Explaining My Job in Crypto 8:23 Why Raoul Got Drunk on Live Streams 10:52 Why People Like Being Insulted 11:50 Self Custody with Trezor 12:44 True Wealth in Crypto 15:37 Finding the Best Risk Adjusted Bets 18:29 Mad Lads Saved Solana 19:56 How to Get Rich in Crypto Without Getting Lucky 22:55 Meme Coins & Fartcoin💨 25:13 Paranoid at All Times 29:14 Why Crypto Yield Is Risky 32:53 Leverage Always Breaks Crypto 35:29 70% in Sui 36:54 Why Sui is Raoul's Favorite Child 40:19 Managing Sui Positions 41:35 De-Risking: When to Take Profits 42:38 Building Wealth Beyond Crypto 44:21 Gambling House on Bitcoin 45:13 What is DeepBook Protocol on Sui? 46:22 Missing out on NFTs 54:45 Is Ethereum Cooked Forever? 1:00:27 Will AI Kill Crypto? 1:02:42 AI's Rise to Sentience 1:06:37 Humans vs. AI 1:09:26 Digital Immortality 1:12:06 Finding Happiness in Simple Things 1:14:33 Embracing Imperfection in Life 1:17:55 Why Kevin can't find a Girlfriend 1:19:58 Stepping Out of Your Comfort Zone 1:21:09 Concluding Remarks Real Vision
1:23:05

E120: Raoul Pal: Welcome to phase 2 of the Banana zone! 🍌🍌 In this 90-minute enlightening and hilarious conversation, Raoul Pal unpacks why everyone — and their mom — thought the bull market was dead and collectively lost it online… while he was sipping wine and dishing out insults from the sidelines on his live streams. This is Raoul’s first appearance on a podcast in over four months — in case there was any doubt, Banana Zone Phase 2 mode is ON! Timestamps 0:00 Introduction 2:02 Partnerships: Jupiter , Kast, SUI, 2:48 Crazy Bitcoin Returns 5:09 What is KAST (old) 6:52 Explaining My Job in Crypto 8:23 Why Raoul Got Drunk on Live Streams 10:52 Why People Like Being Insulted 11:50 Self Custody with Trezor 12:44 True Wealth in Crypto 15:37 Finding the Best Risk Adjusted Bets 18:29 Mad Lads Saved Solana 19:56 How to Get Rich in Crypto Without Getting Lucky 22:55 Meme Coins & Fartcoin💨 25:13 Paranoid at All Times 29:14 Why Crypto Yield Is Risky 32:53 Leverage Always Breaks Crypto 35:29 70% in Sui 36:54 Why Sui is Raoul's Favorite Child 40:19 Managing Sui Positions 41:35 De-Risking: When to Take Profits 42:38 Building Wealth Beyond Crypto 44:21 Gambling House on Bitcoin 45:13 What is DeepBook Protocol on Sui? 46:22 Missing out on NFTs 54:45 Is Ethereum Cooked Forever? 1:00:27 Will AI Kill Crypto? 1:02:42 AI's Rise to Sentience 1:06:37 Humans vs. AI 1:09:26 Digital Immortality 1:12:06 Finding Happiness in Simple Things 1:14:33 Embracing Imperfection in Life 1:17:55 Why Kevin can't find a Girlfriend 1:19:58 Stepping Out of Your Comfort Zone 1:21:09 Concluding Remarks Real Vision

MR SHIFT 🦁

283,714 次观看 • 1 年前

I asked a top 0.1% YouTube Strategist (Vexian - Algorithm Alchemist) to take me from 0 to 10m subscribers. This is every level of YouTube growth. 0:00 Education vs Entertainment 1:51 The Biggest Mistake New Creators Make 2:45 You Don't Need Gear You Need Reps 3:53 The One Thing That Guarantees 1K Subs 4:58 What Is the Impression Snowball 5:54 Consistency as Compound Interest 6:57 How to Come Up With Content Ideas 7:28 Track the Top 20% in Your Niche 8:18 Reverse Engineering Titles That Work 9:06 How to Remix Without Copying 10:00 Why People Actually Watch 11:30 90 Ideas in 30 Minutes 17:29 Level 2 (1K to 10K Subscribers) 21:00 How to Hook in 3 Seconds 24:40 YouTube Is a Zero Sum Game 25:11 Collabs and the Anchor Effect 26:48 Using Bigger Creators to Grow 28:21 What Separates Creators After 100K Videos 29:41 Consistency in Amount Type and Focus 30:05 How to Know When to Quit Your Niche 31:37 What Gaming YouTube Teaches Everyone 33:31 Storytelling From Minecraft YouTubers 34:22 Mini Stories and Escalating Stakes 37:47 Level 3 (10K to 100K Subscribers) 42:00 Package Your Video Like a Movie Poster 44:00 The Pre-Post Checklist 49:00 Seven Levels of Rapper and Viral Permutations 51:05 CTAs Where to Put Them and Where Not To 53:26 Subscribers Are a Vanity Metric 55:46 Replace Ad Reads With Your Own Content 58:49 Level 4 (100K to 1M Subscribers) 59:08 What Is Impact 1:00:01 Pattern Breaking and Absurdism 1:01:15 How to Title a Podcast for Absurdism 1:02:27 Melding Interest Topics Together 1:04:36 Parasocial Reciprocity 1:05:57 The Third Thing Nobody Talks About 1:06:05 What Is Sauce 1:08:20 How Long Does 100K Actually Take 1:09:31 When to Start Outsourcing 1:12:00 Your Niche Has a Ceiling 1:21:42 The Invisible Katana and 25M Views 1:23:27 One Word Across 5 Niches and 13 Years 1:25:38 What Channels Will Hit 1M 1:29:00 Level 5 (1M to 10M Subscribers) 1:29:34 Outlier vs Presence of Mind Ideation 1:30:50 Oppenheimer Barbie and the Minecraft Movie 1:38:00 Why the Best Channels Stop Growing 1:44:41 What Happens When You Beat YouTube 1:46:18 When You Become an Idea Not a Person 1:49:48 The Two Things That Actually Matter
1:52:04

I asked a top 0.1% YouTube Strategist (Vexian - Algorithm Alchemist) to take me from 0 to 10m subscribers. This is every level of YouTube growth. 0:00 Education vs Entertainment 1:51 The Biggest Mistake New Creators Make 2:45 You Don't Need Gear You Need Reps 3:53 The One Thing That Guarantees 1K Subs 4:58 What Is the Impression Snowball 5:54 Consistency as Compound Interest 6:57 How to Come Up With Content Ideas 7:28 Track the Top 20% in Your Niche 8:18 Reverse Engineering Titles That Work 9:06 How to Remix Without Copying 10:00 Why People Actually Watch 11:30 90 Ideas in 30 Minutes 17:29 Level 2 (1K to 10K Subscribers) 21:00 How to Hook in 3 Seconds 24:40 YouTube Is a Zero Sum Game 25:11 Collabs and the Anchor Effect 26:48 Using Bigger Creators to Grow 28:21 What Separates Creators After 100K Videos 29:41 Consistency in Amount Type and Focus 30:05 How to Know When to Quit Your Niche 31:37 What Gaming YouTube Teaches Everyone 33:31 Storytelling From Minecraft YouTubers 34:22 Mini Stories and Escalating Stakes 37:47 Level 3 (10K to 100K Subscribers) 42:00 Package Your Video Like a Movie Poster 44:00 The Pre-Post Checklist 49:00 Seven Levels of Rapper and Viral Permutations 51:05 CTAs Where to Put Them and Where Not To 53:26 Subscribers Are a Vanity Metric 55:46 Replace Ad Reads With Your Own Content 58:49 Level 4 (100K to 1M Subscribers) 59:08 What Is Impact 1:00:01 Pattern Breaking and Absurdism 1:01:15 How to Title a Podcast for Absurdism 1:02:27 Melding Interest Topics Together 1:04:36 Parasocial Reciprocity 1:05:57 The Third Thing Nobody Talks About 1:06:05 What Is Sauce 1:08:20 How Long Does 100K Actually Take 1:09:31 When to Start Outsourcing 1:12:00 Your Niche Has a Ceiling 1:21:42 The Invisible Katana and 25M Views 1:23:27 One Word Across 5 Niches and 13 Years 1:25:38 What Channels Will Hit 1M 1:29:00 Level 5 (1M to 10M Subscribers) 1:29:34 Outlier vs Presence of Mind Ideation 1:30:50 Oppenheimer Barbie and the Minecraft Movie 1:38:00 Why the Best Channels Stop Growing 1:44:41 What Happens When You Beat YouTube 1:46:18 When You Become an Idea Not a Person 1:49:48 The Two Things That Actually Matter

Grant

19,207 次观看 • 4 个月前

E133: Sam Blackshear - How Libra Sparked the Move Language and Why Sui Is the Real Endgame! Sam Blackshear is the Co-founder and CTO of MystenLabs.sui , the company behind the Sui, and the Creator of the Move programming language that's revolutionizing smart contract development. Timestamps: 0:00 Introduction 1:54 Partnerships: Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 2:44 The Power of Preparation 5:14 Discipline Behind the Podcast 6:27 Translating Thought Into Code 8:19 Who is Sam Blackshear? 9:27 Choosing What Truly Matters 10:25 Self-Custody with Trezor 11:18 Crypto vs. AI Thinking 12:28 The Power of Support 16:04 From Court Dreams to Reality 17:55 Challenging the Limits of Code 22:52 Chose Learning Over a Job 24:09 The Internship That Changed Everything 27:35 PhD Skills Meet Facebook 29:05 Entering Crypto Through Facebook 32:15 Why Libra Needed Move 33:42 Solving Scarcity in Code 36:37 Bitcoin & Ethereum Mistakes 38:45 Creating a New Language 41:41 Problem-Driven Innovation 44:47 Avoiding Analysis Paralysis 48:11 What is Unstructured Thinking? 50:50 Why Unstructured Thinking Works 53:14 Future of Crypto Protocols 54:21 Why Move is the Best Programming Language 55:00 What is the Sui Network? 56:25 What Makes Sui Different? 57:05 Why is Sui The Best Blockchain? 59:05 Managing Energy Long-Term 1:01:02 Satisfaction Without Closure 1:03:37 90% Love, 10% Grind 1:05:37 Mental State of Surfing 1:06:47 Non-Consensus Beliefs 1:07:34 What is Memory Safety? 1:09:07 What Was the Equifax Hack? 1:10:53 Rethinking Software Safety 1:12:00 Right Dose of Regulation 1:13:00 Biggest Prediction for the Next 24 Months? 1:14:02 Scaling Crypto Developers 1:16:07 Concluding Remarks
1:16:31

E133: Sam Blackshear - How Libra Sparked the Move Language and Why Sui Is the Real Endgame! Sam Blackshear is the Co-founder and CTO of MystenLabs.sui , the company behind the Sui, and the Creator of the Move programming language that's revolutionizing smart contract development. Timestamps: 0:00 Introduction 1:54 Partnerships: Jupiter, KAST (old), , Sui, Mantle, Forza! BTC 2:44 The Power of Preparation 5:14 Discipline Behind the Podcast 6:27 Translating Thought Into Code 8:19 Who is Sam Blackshear? 9:27 Choosing What Truly Matters 10:25 Self-Custody with Trezor 11:18 Crypto vs. AI Thinking 12:28 The Power of Support 16:04 From Court Dreams to Reality 17:55 Challenging the Limits of Code 22:52 Chose Learning Over a Job 24:09 The Internship That Changed Everything 27:35 PhD Skills Meet Facebook 29:05 Entering Crypto Through Facebook 32:15 Why Libra Needed Move 33:42 Solving Scarcity in Code 36:37 Bitcoin & Ethereum Mistakes 38:45 Creating a New Language 41:41 Problem-Driven Innovation 44:47 Avoiding Analysis Paralysis 48:11 What is Unstructured Thinking? 50:50 Why Unstructured Thinking Works 53:14 Future of Crypto Protocols 54:21 Why Move is the Best Programming Language 55:00 What is the Sui Network? 56:25 What Makes Sui Different? 57:05 Why is Sui The Best Blockchain? 59:05 Managing Energy Long-Term 1:01:02 Satisfaction Without Closure 1:03:37 90% Love, 10% Grind 1:05:37 Mental State of Surfing 1:06:47 Non-Consensus Beliefs 1:07:34 What is Memory Safety? 1:09:07 What Was the Equifax Hack? 1:10:53 Rethinking Software Safety 1:12:00 Right Dose of Regulation 1:13:00 Biggest Prediction for the Next 24 Months? 1:14:02 Scaling Crypto Developers 1:16:07 Concluding Remarks

MR SHIFT 🦁

164,299 次观看 • 1 年前

This week, Colin M. McDonald joins us on The Arena. We discuss the Trump Administration’s fight against fraud, U.S. Department of Justice’s brand-new Fraud Division, and the most shocking fraud schemes DOJ has uncovered. 00:00 - Intro 00:36 - Colin McDonald Joins the Show 00:59 - Who Are You and What Do You Do? 02:22 - Why Public Service? 03:25 - Why Be a Prosecutor? 05:50 - What Does a Prosecutor Actually Do? 09:21 - No Prosecution Without Law Enforcement 11:08 - Relentless: Cases That Last Years 12:02 - Turning to Fraud Enforcement 13:06 - Why No One Tackled Fraud Before 13:41 - The Old Binary Choice: Violent Crime vs. Fraud 15:21 - Tallying the True Cost of Fraud 17:10 - Wasteful Spending vs. Outright Theft 19:17 - The Goal Is Deterrence 21:25 - Building Roots, Not a Potted Plant 23:18 - No Fraud Too Big, No Fraud Too Small 25:28 - Fraud Wounds the Soul, Not Just the Wallet 27:36 - Quarterbacking the Fight 28:26 - One Front Door to DOJ 29:38 - A 500-Person Division in Two Weeks 31:13 - A Career Home for Young Lawyers 33:26 - The Ripple Effects of Unchecked Crime 34:24 - Changing the Incentive Structure 35:23 - Which Statutes Do You Enforce? 36:05 - Healthcare Fraud: The Biggest Target 37:00 - The Student Athlete Who Died 38:03 - The Skin Graft Scheme 39:28 - Fraud Robs Dignity, Too 40:49 - Benefit Programs and the Public Trust Section 42:06 - Global Trade and Commerce Enforcement 43:43 - The Many Inspectors General Offices 45:05 - The Most Shocking Cases 45:56 - “Everybody’s Doing This” 46:48 - The Home Care Scam 48:25 - Billing Medicaid From Egypt and Prison 50:22 - Minnesota’s Looted Housing Program 51:27 - Clearing the Decks for the Truly Needy 52:44 - DOJ Is Here to Help 54:14 - Outro
54:59

This week, Colin M. McDonald joins us on The Arena. We discuss the Trump Administration’s fight against fraud, U.S. Department of Justice’s brand-new Fraud Division, and the most shocking fraud schemes DOJ has uncovered. 00:00 - Intro 00:36 - Colin McDonald Joins the Show 00:59 - Who Are You and What Do You Do? 02:22 - Why Public Service? 03:25 - Why Be a Prosecutor? 05:50 - What Does a Prosecutor Actually Do? 09:21 - No Prosecution Without Law Enforcement 11:08 - Relentless: Cases That Last Years 12:02 - Turning to Fraud Enforcement 13:06 - Why No One Tackled Fraud Before 13:41 - The Old Binary Choice: Violent Crime vs. Fraud 15:21 - Tallying the True Cost of Fraud 17:10 - Wasteful Spending vs. Outright Theft 19:17 - The Goal Is Deterrence 21:25 - Building Roots, Not a Potted Plant 23:18 - No Fraud Too Big, No Fraud Too Small 25:28 - Fraud Wounds the Soul, Not Just the Wallet 27:36 - Quarterbacking the Fight 28:26 - One Front Door to DOJ 29:38 - A 500-Person Division in Two Weeks 31:13 - A Career Home for Young Lawyers 33:26 - The Ripple Effects of Unchecked Crime 34:24 - Changing the Incentive Structure 35:23 - Which Statutes Do You Enforce? 36:05 - Healthcare Fraud: The Biggest Target 37:00 - The Student Athlete Who Died 38:03 - The Skin Graft Scheme 39:28 - Fraud Robs Dignity, Too 40:49 - Benefit Programs and the Public Trust Section 42:06 - Global Trade and Commerce Enforcement 43:43 - The Many Inspectors General Offices 45:05 - The Most Shocking Cases 45:56 - “Everybody’s Doing This” 46:48 - The Home Care Scam 48:25 - Billing Medicaid From Egypt and Prison 50:22 - Minnesota’s Looted Housing Program 51:27 - Clearing the Decks for the Truly Needy 52:44 - DOJ Is Here to Help 54:14 - Outro

The Arena America First Legal

446,720 次观看 • 1 个月前

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science
49:06

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science

Matt Turck

69,801 次观看 • 3 个月前

How to build long-horizon AI agents: behavior specs, ontologies, process supervision - my conversation with Mitchell Troyanovsky, co-founder of Basis 01:09 Why Everyone at Basis Was Whispering to AI when Stephanie Palazzolo walked in 04:12 Accounting as "an Intelligence Over the Economy" 06:11 What Makes an Agent Truly Long-Horizon 08:24 Inside an Autonomous, Multi-Day Tax Return 10:19 Agents That Hand Off Like Senior Engineers 11:17 A Brief History of Agents: From ReAct to Today 12:33 Why LLMs Have No Long-Term Memory 14:13 Why AutoGPT Didn't Live Up to Its Promise 15:51 The Three Breakthroughs: Opus 3, o1, o3 17:07 Why Reasoning Models Unlocked Agents 18:23 "Let's Verify Step by Step": The Road Not Taken 20:32 Pushing Back on the METR Chart 22:09 Why Coding Agents Won First 25:14 Why Real-World Agents Are Harder 26:55 How Accountants Verify Non-Deterministic Work 29:18 You Can't Scale Tax Returns Like Math 33:16 100 Evals Pass - So What? 35:53 Right Answer, Wrong Process 36:37 Behavior Specs, Explained 39:58 How Specific Should Behaviors Be? 42:18 Context Is Runtime Training Data 44:21 Who Judges the Judge? 46:45 The Move 37 Objection 50:02 The Magic Box Mental Model 52:41 "Nothing Has Changed Since o3" 54:56 Open-Sourcing Behavior Specs with Ankur Goyal Braintrust 59:45 Ontologies: A World for Agents to Live In 01:04:20 Documentation as Codebase 01:06:33 Why the Founding Fathers Were Context Engineers 01:09:05 Onboarding 300 Brilliant Alien Employees 01:11:10 Self-Improving Agent Systems 01:12:50 The Context Mistake Agent Builders Make 01:14:29 RL on Behavior Adherence 01:17:01 Will the Bitter Lesson Swallow the Harness 01:18:46 "Technical Moats Are Not Real Moats" 01:21:03 Advice for AI Builders
1:22:51

How to build long-horizon AI agents: behavior specs, ontologies, process supervision - my conversation with Mitchell Troyanovsky, co-founder of Basis 01:09 Why Everyone at Basis Was Whispering to AI when Stephanie Palazzolo walked in 04:12 Accounting as "an Intelligence Over the Economy" 06:11 What Makes an Agent Truly Long-Horizon 08:24 Inside an Autonomous, Multi-Day Tax Return 10:19 Agents That Hand Off Like Senior Engineers 11:17 A Brief History of Agents: From ReAct to Today 12:33 Why LLMs Have No Long-Term Memory 14:13 Why AutoGPT Didn't Live Up to Its Promise 15:51 The Three Breakthroughs: Opus 3, o1, o3 17:07 Why Reasoning Models Unlocked Agents 18:23 "Let's Verify Step by Step": The Road Not Taken 20:32 Pushing Back on the METR Chart 22:09 Why Coding Agents Won First 25:14 Why Real-World Agents Are Harder 26:55 How Accountants Verify Non-Deterministic Work 29:18 You Can't Scale Tax Returns Like Math 33:16 100 Evals Pass - So What? 35:53 Right Answer, Wrong Process 36:37 Behavior Specs, Explained 39:58 How Specific Should Behaviors Be? 42:18 Context Is Runtime Training Data 44:21 Who Judges the Judge? 46:45 The Move 37 Objection 50:02 The Magic Box Mental Model 52:41 "Nothing Has Changed Since o3" 54:56 Open-Sourcing Behavior Specs with Ankur Goyal Braintrust 59:45 Ontologies: A World for Agents to Live In 01:04:20 Documentation as Codebase 01:06:33 Why the Founding Fathers Were Context Engineers 01:09:05 Onboarding 300 Brilliant Alien Employees 01:11:10 Self-Improving Agent Systems 01:12:50 The Context Mistake Agent Builders Make 01:14:29 RL on Behavior Adherence 01:17:01 Will the Bitter Lesson Swallow the Harness 01:18:46 "Technical Moats Are Not Real Moats" 01:21:03 Advice for AI Builders

Matt Turck

22,509 次观看 • 1 个月前

E142: Arthur Hayes: Bitcoin masterplan: $1M peak by 2028, crash by 2029 For his second appearance on When Shift Happens - Maelstrom CIO - Arthur delivers the rawest, sharpest macro and crypto insights in this no-filter episode. Timestamps 0:00 Introduction 1:52 Coffee Talk 2:45 What’s Your Mission In Life 3:31 Who Are You 3:44 Evolution On Money And Retirement 4:56 Investment Or Trading Opportunities 7:47 Do You Make Decisions For Investments 8:53 Macro Frameworks For Risk 11:24 Partnerships Jupiter Paradex KAST (old) 12:17 Investment Options For Others 14:14 Playing The Stable Coin Narrative 15:36 Stable Coins Taking Over TradFi 17:16 Feelings About The US dollar 18:48 View On Bitcoins Timeline 22:07 Turning Point For Printing Money 23:02 Bitcoin Stopping At $2 Million? 23:46 Owning Anything Else Besides Crypto 26:25 Gold Miner Pricing Vs Everything 28:29 Where Bitcoin Stops 28:44 Partnerships Trezor Bitwise Sui 29:40 Cashflow Generation 32:43 HyperLiquid Domination 34:15 Space For Others To Find Success 37:16 Believer In $5000 Per Hype 38:46 Why Is ether.fi Great Plus 40:19 Something Normal People Aren’t Thinking Of 42:05 Borrowing With Volatile Assets 43:37 Percentage Of Portfolio Trading 44:05 Constantly Thinking About Markets 45:41 Are You Happy 46:01 Dangerous Situation On The Slopes 47:37 Happier With More Money? 50:03 Progress With Sports 51:01 Something You Should Let Go 51:23 Something To Take Away 52:26 Advice For Feeling Stuck
54:40

E142: Arthur Hayes: Bitcoin masterplan: $1M peak by 2028, crash by 2029 For his second appearance on When Shift Happens - Maelstrom CIO - Arthur delivers the rawest, sharpest macro and crypto insights in this no-filter episode. Timestamps 0:00 Introduction 1:52 Coffee Talk 2:45 What’s Your Mission In Life 3:31 Who Are You 3:44 Evolution On Money And Retirement 4:56 Investment Or Trading Opportunities 7:47 Do You Make Decisions For Investments 8:53 Macro Frameworks For Risk 11:24 Partnerships Jupiter Paradex KAST (old) 12:17 Investment Options For Others 14:14 Playing The Stable Coin Narrative 15:36 Stable Coins Taking Over TradFi 17:16 Feelings About The US dollar 18:48 View On Bitcoins Timeline 22:07 Turning Point For Printing Money 23:02 Bitcoin Stopping At $2 Million? 23:46 Owning Anything Else Besides Crypto 26:25 Gold Miner Pricing Vs Everything 28:29 Where Bitcoin Stops 28:44 Partnerships Trezor Bitwise Sui 29:40 Cashflow Generation 32:43 HyperLiquid Domination 34:15 Space For Others To Find Success 37:16 Believer In $5000 Per Hype 38:46 Why Is ether.fi Great Plus 40:19 Something Normal People Aren’t Thinking Of 42:05 Borrowing With Volatile Assets 43:37 Percentage Of Portfolio Trading 44:05 Constantly Thinking About Markets 45:41 Are You Happy 46:01 Dangerous Situation On The Slopes 47:37 Happier With More Money? 50:03 Progress With Sports 51:01 Something You Should Let Go 51:23 Something To Take Away 52:26 Advice For Feeling Stuck

MR SHIFT 🦁

154,378 次观看 • 11 个月前

Cam Jurgens On Replacing Jason Kelce For The Eagles + Nebraska’s Sweet 16 Run | Bussin’ 0:00 Intro 5:19 Callbacks 10:24 March Madness Sweet 16 Talk 16:15 Is Nebraska A Basketball School Now? 27:15 Coffin Callback 33:37 Flag Football Classic Recap + Team USA 43:42 Public Schools Top 25 50:08 Hater vs Passionate Fan 57:51 CAM JURGENS INTERVIEW STARTS 1:00:49 Cam's Family Cattle Farm 1:04:07 NIL Money Discussion 1:08:02 Forced Position Change 1:14:29 Growing Up A Husker 1:18:47 The Scott Frost Era 1:22:49 Nebraska's $250 Million Facility Upgrades 1:25:01 Meeting Jason Kelce & Winning A Super Bowl Year One 1:26:29 Philly Fan Base Is Built Different 1:30:50 Lane Johnson Is A Freak 1:38:51 Nebraska Basketball Is Finally Here 1:43:51 Big Ten Is Running College Sports 1:47:29 Best Live Sports 1:50:36 Cam's Injuries 1:53:25 Playing The NFC Championship With A Broken Back 1:58:06 Best Cheesesteak In Philly 1:59:34 Will & Taylor’s Hilarious Breakfast 2:02:40 Midwest Fast Food Hits Different 2:11:08 Talking Crap To Chris Jones 2:12:17 Stem Cell Treatment In Colombia 2:13:03 NAD Drip Racing 2:17:07 Pablo Escobar's Airstrip 2:18:20 Conspiracy Theories 2:21:04 Top Holidays 2:25:06 How Would You Fight A Ghost? 2:28:34 The NFL Is A Cold Business 2:34:19 Balancing Family & Football 2:39:38 Life After Football - Finding That Next Thing 2:45:09 Game Day Anxiety & Imposter Syndrome 2:51:16 How Long Does Cam Want To Play? 2:55:19 Small Town Kid In A Big City 2:57:33 Biggest Purchase After Signing 2:59:06 Masters Draft Weekend With The Boys
3:01:07

Cam Jurgens On Replacing Jason Kelce For The Eagles + Nebraska’s Sweet 16 Run | Bussin’ 0:00 Intro 5:19 Callbacks 10:24 March Madness Sweet 16 Talk 16:15 Is Nebraska A Basketball School Now? 27:15 Coffin Callback 33:37 Flag Football Classic Recap + Team USA 43:42 Public Schools Top 25 50:08 Hater vs Passionate Fan 57:51 CAM JURGENS INTERVIEW STARTS 1:00:49 Cam's Family Cattle Farm 1:04:07 NIL Money Discussion 1:08:02 Forced Position Change 1:14:29 Growing Up A Husker 1:18:47 The Scott Frost Era 1:22:49 Nebraska's $250 Million Facility Upgrades 1:25:01 Meeting Jason Kelce & Winning A Super Bowl Year One 1:26:29 Philly Fan Base Is Built Different 1:30:50 Lane Johnson Is A Freak 1:38:51 Nebraska Basketball Is Finally Here 1:43:51 Big Ten Is Running College Sports 1:47:29 Best Live Sports 1:50:36 Cam's Injuries 1:53:25 Playing The NFC Championship With A Broken Back 1:58:06 Best Cheesesteak In Philly 1:59:34 Will & Taylor’s Hilarious Breakfast 2:02:40 Midwest Fast Food Hits Different 2:11:08 Talking Crap To Chris Jones 2:12:17 Stem Cell Treatment In Colombia 2:13:03 NAD Drip Racing 2:17:07 Pablo Escobar's Airstrip 2:18:20 Conspiracy Theories 2:21:04 Top Holidays 2:25:06 How Would You Fight A Ghost? 2:28:34 The NFL Is A Cold Business 2:34:19 Balancing Family & Football 2:39:38 Life After Football - Finding That Next Thing 2:45:09 Game Day Anxiety & Imposter Syndrome 2:51:16 How Long Does Cam Want To Play? 2:55:19 Small Town Kid In A Big City 2:57:33 Biggest Purchase After Signing 2:59:06 Masters Draft Weekend With The Boys

Bussin' With The Boys

24,264 次观看 • 5 个月前