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Episode 275: Working with Transference: Timing, Technique, and the Here-and-Now with Jonathan Shedler 01:44 Why Transference Is Always Present in Psychotherapy 09:03 How Personality Organization Changes Transference Work 16:24 Managing Erotic Transference and Protecting the Therapeutic Frame 25:00 Clinical Example: Triangulation and Seductive Presentations 35:48 Idealization, Splitting, and the...

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David Puder M.D.

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128,246 просмотров • 26 дней назад •via X (Twitter)

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Episode 273: Nancy McWilliams on Shame, Transference, Personality Disorders & Becoming a Better Therapist 01:42 Working with Shame 12:02 Negative Transference, Fragility, and Therapist Countertransference 19:13 Therapist Personality Styles: Strengths, Vulnerabilities, and Countertransference 33:15 Working with Dissociation and Dissociative Patients 38:04 Intense Projective Identification and Countertransference Experiences 46:35 Love, Trust, and the Therapeutic Relationship 53:02 Protecting the Therapeutic Frame: Boundaries, Stalking, and Self-Protection 59:24 Personality Combinations, Autism vs. Schizoid, 01:09:00 Authenticity, Self-Disclosure, and Becoming a Better Therapist 01:22:28 Gender Care 01:31:54 Frequency of Sessions 01:37:47 Working with Children/Adolescents
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Episode 273: Nancy McWilliams on Shame, Transference, Personality Disorders & Becoming a Better Therapist 01:42 Working with Shame 12:02 Negative Transference, Fragility, and Therapist Countertransference 19:13 Therapist Personality Styles: Strengths, Vulnerabilities, and Countertransference 33:15 Working with Dissociation and Dissociative Patients 38:04 Intense Projective Identification and Countertransference Experiences 46:35 Love, Trust, and the Therapeutic Relationship 53:02 Protecting the Therapeutic Frame: Boundaries, Stalking, and Self-Protection 59:24 Personality Combinations, Autism vs. Schizoid, 01:09:00 Authenticity, Self-Disclosure, and Becoming a Better Therapist 01:22:28 Gender Care 01:31:54 Frequency of Sessions 01:37:47 Working with Children/Adolescents

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Episode 250: Devaluation, Transference, Narcissism with Diana Diamond 02:32 Understanding Devaluation in Therapy 05:20 Clinical Examples of Devaluation 09:48 Recognizing and Responding to Subtle Devaluation 12:27 The Link Between Devaluation and Attachment Styles 17:09 Research on Attachment and Reflective Functioning in Narcissistic Patients 20:02 How Attachment Styles Shape Devaluation 25:59 Case Example: Addressing Devaluation in Treatment 41:46 From Fantasy to Reality: The Narcissus Myth and Its Clinical Meaning
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Episode 250: Devaluation, Transference, Narcissism with Diana Diamond 02:32 Understanding Devaluation in Therapy 05:20 Clinical Examples of Devaluation 09:48 Recognizing and Responding to Subtle Devaluation 12:27 The Link Between Devaluation and Attachment Styles 17:09 Research on Attachment and Reflective Functioning in Narcissistic Patients 20:02 How Attachment Styles Shape Devaluation 25:59 Case Example: Addressing Devaluation in Treatment 41:46 From Fantasy to Reality: The Narcissus Myth and Its Clinical Meaning

David Puder M.D.

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Is time an illusion? I sat down with physicist Julian Barbour to explore his radical theory: time is just how we interpret changing shapes. He explains why the universe might actually be increasing in order, challenging the second law of thermodynamics. Link in comments below. Timestamps: 00:00 - Introduction 02:12 - Working Outside of Academia 03:53 - Space, Time, Dimension 10:40 - Mach’s Principle 21:33 - Mach Confused Einstein 24:22 - Two Particle Universe 31:46 - Carlo Rovelli 35:02 - Julian’s Ontology 43:37 - Julian’s Theory ‘Shape Statistics’ 51:11 - Leinbiz’s Philosophical Writings 56:14 - Expansion of the Universe (Scale Invariance) 01:05:02 - Cosmological Principle 01:15:34 - Thermodynamics 01:17:15 - Entropy and Complexity 01:30:40 - Wave Function / Double Slit Experiment 01:39:21 - God 01:44:48 - The Role of Instruments 01:47:44 - Etymology of Pattern and Matter 01:51:25 - Join My Substack!
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Is time an illusion? I sat down with physicist Julian Barbour to explore his radical theory: time is just how we interpret changing shapes. He explains why the universe might actually be increasing in order, challenging the second law of thermodynamics. Link in comments below. Timestamps: 00:00 - Introduction 02:12 - Working Outside of Academia 03:53 - Space, Time, Dimension 10:40 - Mach’s Principle 21:33 - Mach Confused Einstein 24:22 - Two Particle Universe 31:46 - Carlo Rovelli 35:02 - Julian’s Ontology 43:37 - Julian’s Theory ‘Shape Statistics’ 51:11 - Leinbiz’s Philosophical Writings 56:14 - Expansion of the Universe (Scale Invariance) 01:05:02 - Cosmological Principle 01:15:34 - Thermodynamics 01:17:15 - Entropy and Complexity 01:30:40 - Wave Function / Double Slit Experiment 01:39:21 - God 01:44:48 - The Role of Instruments 01:47:44 - Etymology of Pattern and Matter 01:51:25 - Join My Substack!

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Episode 274: Mentalization-Based Therapy (MBT) Explained: Practical Techniques to Improve Clinical Outcomes in Borderline Personality Disorder, OCD & Narcissism 01:16 What Is Mentalization? 04:39 "What, Why, and How" Model of Mentalizing 08:28 Why Certainty Keeps Patients Stuck 10:57 Four MBT Techniques for Challenging Rigid Thinking 18:30 Understanding Pretend Mode in Mentalization-Based Therapy 22:28 Helping Patients Reconnect with Difficult Emotions 27:08 Intellectualization vs. Emotional Awareness 42:54 OCD, Reassurance Seeking, and the Quest for Certainty 54:52 Dissociation, Technology, and Modern Avoidance 01:01:27 What Tolstoy Can Teach Us About Mentalizing 01:16:43 I Mode, You Mode, and We Mode
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.Baiju Bhatt co-founded Robinhood. Now he's building something completely different - a solar panel grid in space that beams energy down to Earth with lasers at @AetherfluxUSA I mean. Why not? This is our full chat with Baiju. He's got a fascinating life story and is thoughtful and bright. The Core Memory podcast is on all major platforms and made possible by the fine people Brex and E1 Ventures 🇺🇸. Come dig in. Timestamps 00:00:00 Intro 00:01:01 Robinhood Was Born Here 00:03:16 Dad's Secret Dream 00:08:02 The Crisis Changed Everything 00:11:39 The Switch That Flipped 00:18:44 Why Physics, Not Finance? 00:23:11 Stanford or Bust 00:30:50 The GameStop Trigger 00:41:54 The Day Robinhood Almost Broke 00:48:54 The Space Idea Nobody Tried 00:56:56 Why Space Energy Makes Sense 01:03:20 AI's Dirty Secret: Power 01:05:55 How Atherflux Actually Works 01:11:36 Why the Company Is Called That 01:18:37 Could SpaceX Just Copy This? 01:26:27 Rivals or Allies in Space?
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.Baiju Bhatt co-founded Robinhood. Now he's building something completely different - a solar panel grid in space that beams energy down to Earth with lasers at @AetherfluxUSA I mean. Why not? This is our full chat with Baiju. He's got a fascinating life story and is thoughtful and bright. The Core Memory podcast is on all major platforms and made possible by the fine people Brex and E1 Ventures 🇺🇸. Come dig in. Timestamps 00:00:00 Intro 00:01:01 Robinhood Was Born Here 00:03:16 Dad's Secret Dream 00:08:02 The Crisis Changed Everything 00:11:39 The Switch That Flipped 00:18:44 Why Physics, Not Finance? 00:23:11 Stanford or Bust 00:30:50 The GameStop Trigger 00:41:54 The Day Robinhood Almost Broke 00:48:54 The Space Idea Nobody Tried 00:56:56 Why Space Energy Makes Sense 01:03:20 AI's Dirty Secret: Power 01:05:55 How Atherflux Actually Works 01:11:36 Why the Company Is Called That 01:18:37 Could SpaceX Just Copy This? 01:26:27 Rivals or Allies in Space?

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Who Hijacked Bitcoin? Steve Patterson and Aaron Day on DarkHorse 00:00:00 Bitcoin: The Questions That Matter 00:03:01 Sponsor: Helix 00:05:26 The Purpose of Bitcoin 00:10:52 Digital Cash 00:18:38 The Reality of Bitcoin Transactions Today 00:27:22 Sponsor: ARMRA 00:29:46 The History of Bitcoin 00:42:14 Preempting the Bitcoin Experts 00:50:20 Bitcoin History: Two Camps Emerge 00:59:57 Bitcoin History: The Mainstream Phase 01:01:59 Bitcoin Corruption: New Information from the Epstein Files 01:04:35 Government Crackdown on Crypto 01:13:25 Is Bitcoin Really Decentralized? 01:35:16 The Connection to Howard Lutnick 01:44:41 CBDCs Should Be Top of Mind 01:45:54 The Coming Financial Collapse 01:47:13 Do We Already Have a Backdoor CBDC? 01:51:44 Tokens and The Great Taking 01:56:38 The Technocracy Movement 02:00:30 Digital Currency Naivety 02:11:32 Morality as a Constraint 02:21:43 Rights as an Irritant to Power 02:23:50 Protecting Yourself 02:25:51 Fighting Back
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Who Hijacked Bitcoin? Steve Patterson and Aaron Day on DarkHorse 00:00:00 Bitcoin: The Questions That Matter 00:03:01 Sponsor: Helix 00:05:26 The Purpose of Bitcoin 00:10:52 Digital Cash 00:18:38 The Reality of Bitcoin Transactions Today 00:27:22 Sponsor: ARMRA 00:29:46 The History of Bitcoin 00:42:14 Preempting the Bitcoin Experts 00:50:20 Bitcoin History: Two Camps Emerge 00:59:57 Bitcoin History: The Mainstream Phase 01:01:59 Bitcoin Corruption: New Information from the Epstein Files 01:04:35 Government Crackdown on Crypto 01:13:25 Is Bitcoin Really Decentralized? 01:35:16 The Connection to Howard Lutnick 01:44:41 CBDCs Should Be Top of Mind 01:45:54 The Coming Financial Collapse 01:47:13 Do We Already Have a Backdoor CBDC? 01:51:44 Tokens and The Great Taking 01:56:38 The Technocracy Movement 02:00:30 Digital Currency Naivety 02:11:32 Morality as a Constraint 02:21:43 Rights as an Irritant to Power 02:23:50 Protecting Yourself 02:25:51 Fighting Back

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Tom Nelson Podcast #300: “Dave Collum: Presenting climate reality at Cornell” is now published. 00:00 Introduction and Guest Introduction 00:42 Optional Lecture and Student Reactions 01:21 Controversial Statements and Chair's Reaction 02:35 Presentation Style and References 03:16 Recommended Climate Change Books 05:10 Debate with Steve Keen 06:12 Climate Change Data and Analysis 11:29 Skepticism and Media Critique 18:44 Historical Climate Data and Misinterpretations 39:23 Solar Activity and Climate Correlation 43:45 AI Experiment on Climate Change Opinions 53:02 Analyzing Statistical Anomalies 53:25 Fat Tony's Probability Paradox 54:19 Debating Global Warming Consequences 55:29 Sea Level Rise and Historical Climate Data 56:24 Critiquing Climate Change Narratives 57:38 Wildfire Data and Climate Change 01:01:20 California's Water and Fire Issues 01:02:26 Polar Bears and Misleading Climate Imagery 01:03:48 Amazon Rainforest and Climate Myths 01:04:34 Agricultural Shifts and Climate Arguments 01:05:20 Coral Reefs and Human Impact 01:06:20 Climate Change and Public Perception 01:07:55 Skepticism Towards Climate Science 01:20:19 Population Decline and Climate Fears 01:22:41 Electric Vehicles and Environmental Impact 01:23:42 Media Narratives and Climate Change 01:28:40 Propaganda and Authoritarianism 01:30:12 Closing Thoughts on Climate Skepticism
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Tom Nelson Podcast #300: “Dave Collum: Presenting climate reality at Cornell” is now published. 00:00 Introduction and Guest Introduction 00:42 Optional Lecture and Student Reactions 01:21 Controversial Statements and Chair's Reaction 02:35 Presentation Style and References 03:16 Recommended Climate Change Books 05:10 Debate with Steve Keen 06:12 Climate Change Data and Analysis 11:29 Skepticism and Media Critique 18:44 Historical Climate Data and Misinterpretations 39:23 Solar Activity and Climate Correlation 43:45 AI Experiment on Climate Change Opinions 53:02 Analyzing Statistical Anomalies 53:25 Fat Tony's Probability Paradox 54:19 Debating Global Warming Consequences 55:29 Sea Level Rise and Historical Climate Data 56:24 Critiquing Climate Change Narratives 57:38 Wildfire Data and Climate Change 01:01:20 California's Water and Fire Issues 01:02:26 Polar Bears and Misleading Climate Imagery 01:03:48 Amazon Rainforest and Climate Myths 01:04:34 Agricultural Shifts and Climate Arguments 01:05:20 Coral Reefs and Human Impact 01:06:20 Climate Change and Public Perception 01:07:55 Skepticism Towards Climate Science 01:20:19 Population Decline and Climate Fears 01:22:41 Electric Vehicles and Environmental Impact 01:23:42 Media Narratives and Climate Change 01:28:40 Propaganda and Authoritarianism 01:30:12 Closing Thoughts on Climate Skepticism

Tom Nelson

32,525 просмотров • 1 год назад

Here's exactly how a 22 year old returned 283% in last year's US Investing Championship: ∙Listening to the stocks you're trading ∙Managing risk, and fighting for huge R:R multiples ∙Martin's journey and key influences ∙Equity curve mindset Great work Martin Luk — Timestamps: 00:00 – How a 100% trade shifted Martin’s entire mindset 01:31 – Lessons from studying prior big movers 04:54 – Starting with $1,300 in 2020 and early influences 08:56 – From tripling his account to a brutal 50% drawdown 13:23 – Foundational growth through books, podcasts, and mentors 17:02 – Adopting a tighter stop strategy from Christian Kalayjian 24:27 – Martin’s swing trading style, low win rate, high R setups 30:50 – Why tight stops lead to parabolic R multiple gains 33:51 – Backtesting winners: Big movers rarely revisit breakout lows 36:00 – Ideal entry tactics: Inside days, ORH, and prior day highs 40:45 – Sell strategies: Into strength vs. trailing stops 47:50 – Case study: SMCI trade and painful exit mistake 55:10 – COIN trade driven by crypto correlation and pattern break 01:01:10 – GME & AMC: Fast gains using tight intraday structure 01:10:18 – Traditional breakout example: SOFI 01:16:33 – Parabolic trade and sell signals using volume and distance 01:21:19 – QUBT re-entry and lessons on precise breakout timing 01:24:52 – Best loss of the year: SMTC and honoring stops 01:26:50 – Mistakes from CSK and recognizing emotional entries 01:30:38 – Martin’s scanning system: Pre-market, daily, and leaders 01:35:22 – How watchlists reveal market health and trend 01:42:03 – Short setup breakdowns: Declining EMA + intraday resistance 01:50:12 – SMCI short and trailing rules for shorts vs. longs 01:55:03 – Using your equity curve as market feedback 02:01:09 – Martin’s top trading weaknesses and progress 02:03:07 – Reducing drawdowns: Lessons from SURF loss 02:08:01 – Final advice: Trading is a marathon, not a sprint Have a great weekend! 🦁
2:18:43

Here's exactly how a 22 year old returned 283% in last year's US Investing Championship: ∙Listening to the stocks you're trading ∙Managing risk, and fighting for huge R:R multiples ∙Martin's journey and key influences ∙Equity curve mindset Great work Martin Luk — Timestamps: 00:00 – How a 100% trade shifted Martin’s entire mindset 01:31 – Lessons from studying prior big movers 04:54 – Starting with $1,300 in 2020 and early influences 08:56 – From tripling his account to a brutal 50% drawdown 13:23 – Foundational growth through books, podcasts, and mentors 17:02 – Adopting a tighter stop strategy from Christian Kalayjian 24:27 – Martin’s swing trading style, low win rate, high R setups 30:50 – Why tight stops lead to parabolic R multiple gains 33:51 – Backtesting winners: Big movers rarely revisit breakout lows 36:00 – Ideal entry tactics: Inside days, ORH, and prior day highs 40:45 – Sell strategies: Into strength vs. trailing stops 47:50 – Case study: SMCI trade and painful exit mistake 55:10 – COIN trade driven by crypto correlation and pattern break 01:01:10 – GME & AMC: Fast gains using tight intraday structure 01:10:18 – Traditional breakout example: SOFI 01:16:33 – Parabolic trade and sell signals using volume and distance 01:21:19 – QUBT re-entry and lessons on precise breakout timing 01:24:52 – Best loss of the year: SMTC and honoring stops 01:26:50 – Mistakes from CSK and recognizing emotional entries 01:30:38 – Martin’s scanning system: Pre-market, daily, and leaders 01:35:22 – How watchlists reveal market health and trend 01:42:03 – Short setup breakdowns: Declining EMA + intraday resistance 01:50:12 – SMCI short and trailing rules for shorts vs. longs 01:55:03 – Using your equity curve as market feedback 02:01:09 – Martin’s top trading weaknesses and progress 02:03:07 – Reducing drawdowns: Lessons from SURF loss 02:08:01 – Final advice: Trading is a marathon, not a sprint Have a great weekend! 🦁

TraderLion

13,458 просмотров • 1 год назад

What is the truth about race and evolution? A philosophical biologist (me) and a biological philosopher Nathan Cofnas hash it out in the wake of the Jason Arday scandal. 00:00:00 The Rules of Engagement 00:03:46 Race Realist? 00:08:47 Lineage vs. Race 00:13:58 The Euphemism Treadmill 00:16:38 Is Morality Real? 00:24:51 Westermarck and the Kibbutz 00:35:34 The Incest Taboo Test 00:41:53 Where Moral Beliefs Come From 00:52:34 Wokeism as an Existential Threat 00:57:54 Darwinism Applied to Humans 01:02:21 Does Winter Make You Smarter? 01:07:53 Inuits and Ethiopians 01:10:46 Why Aren't We All Von Neumann? 01:18:10 What About West African Sprinters? 01:24:37 The Black Cats in the Dark 01:28:21 The Longest Childhood on Earth 01:35:07 Everything Is an IQ Test 01:40:59 What Slavery Broke 01:45:21 Ethiopia, Korea, Japan, China 01:49:32 The Second Mode of Inheritance 01:54:18 What We Actually Disagree About 01:57:47 The Arms Race Has No Ceiling
2:02:44

What is the truth about race and evolution? A philosophical biologist (me) and a biological philosopher Nathan Cofnas hash it out in the wake of the Jason Arday scandal. 00:00:00 The Rules of Engagement 00:03:46 Race Realist? 00:08:47 Lineage vs. Race 00:13:58 The Euphemism Treadmill 00:16:38 Is Morality Real? 00:24:51 Westermarck and the Kibbutz 00:35:34 The Incest Taboo Test 00:41:53 Where Moral Beliefs Come From 00:52:34 Wokeism as an Existential Threat 00:57:54 Darwinism Applied to Humans 01:02:21 Does Winter Make You Smarter? 01:07:53 Inuits and Ethiopians 01:10:46 Why Aren't We All Von Neumann? 01:18:10 What About West African Sprinters? 01:24:37 The Black Cats in the Dark 01:28:21 The Longest Childhood on Earth 01:35:07 Everything Is an IQ Test 01:40:59 What Slavery Broke 01:45:21 Ethiopia, Korea, Japan, China 01:49:32 The Second Mode of Inheritance 01:54:18 What We Actually Disagree About 01:57:47 The Arms Race Has No Ceiling

Bret Weinstein

397,522 просмотров • 14 дней назад

New episode with Dr. Konrad Kording (Kording Lab 🦖), professor of bioengineering and neuroscience at the University of Pennsylvania (Penn) and co-director of CIFAR's Learning in Machines & Brains program (CIFAR). Konrad works at the intersection of causality, machine learning, and neuroscience, building rigorous methods for causal reasoning when experiments aren't possible — and challenging how researchers interpret neural data and build AI. Konrad argues the most promising path to understanding how the brain works is to read the brain’s wiring directly, down to the molecular detail of each connection, and to build compilers and simulations to understand the brain’s computation directly. In this episode we go deep into how neurons work, how neurons wire together, and how organic and artificial neural networks differ. We discuss why organic neurons are doing much more; how a model of a single organic neuron can solve MNIST — computing more like a 3-layer artificial neural network; how the brain might learn by solving credit assignment with only local signals; how to approximate backprop without a global algorithm; why AI and humans are intelligent along different dimensions; why Konrad isn’t very worried about AI replacing us; economic models of intelligence and physical work; and much more. Konrad is a brilliant, contrarian thinker who explains complex concepts very intuitively. It is a solid computational neuroscience primer. I hope you enjoy this conversation as much as I did! Other links to this episode and references below. Chapters 00:00:00 Introduction 00:01:01 How organic neurons work 00:24:13 How the brain learns: circuits and credit assignment 00:45:29 Recording the brain 00:52:47 Why simulating brains is hard 01:05:00 A new approach: connectomes and compilers 01:21:00 Why simulate brains? 01:29:50 How AI and human intelligence differ 01:41:04 Evolution, intelligence and AI risk 01:52:42 Robotics, causality, and the roots of intelligence 02:05:53 AI for science and scientific rigor 02:13:05 The economics of intelligence 02:27:50 A hopeful future
2:29:40

New episode with Dr. Konrad Kording (Kording Lab 🦖), professor of bioengineering and neuroscience at the University of Pennsylvania (Penn) and co-director of CIFAR's Learning in Machines & Brains program (CIFAR). Konrad works at the intersection of causality, machine learning, and neuroscience, building rigorous methods for causal reasoning when experiments aren't possible — and challenging how researchers interpret neural data and build AI. Konrad argues the most promising path to understanding how the brain works is to read the brain’s wiring directly, down to the molecular detail of each connection, and to build compilers and simulations to understand the brain’s computation directly. In this episode we go deep into how neurons work, how neurons wire together, and how organic and artificial neural networks differ. We discuss why organic neurons are doing much more; how a model of a single organic neuron can solve MNIST — computing more like a 3-layer artificial neural network; how the brain might learn by solving credit assignment with only local signals; how to approximate backprop without a global algorithm; why AI and humans are intelligent along different dimensions; why Konrad isn’t very worried about AI replacing us; economic models of intelligence and physical work; and much more. Konrad is a brilliant, contrarian thinker who explains complex concepts very intuitively. It is a solid computational neuroscience primer. I hope you enjoy this conversation as much as I did! Other links to this episode and references below. Chapters 00:00:00 Introduction 00:01:01 How organic neurons work 00:24:13 How the brain learns: circuits and credit assignment 00:45:29 Recording the brain 00:52:47 Why simulating brains is hard 01:05:00 A new approach: connectomes and compilers 01:21:00 Why simulate brains? 01:29:50 How AI and human intelligence differ 01:41:04 Evolution, intelligence and AI risk 01:52:42 Robotics, causality, and the roots of intelligence 02:05:53 AI for science and scientific rigor 02:13:05 The economics of intelligence 02:27:50 A hopeful future

Juan Benet

50,121 просмотров • 2 месяцев назад

New episode with Brandon Millman Donnie Dinch out now! Yano 🟪 We discuss: - Phantom's next chapter - Launching perps & CASH - Will Phantom IPO? - Scaling as a startup - Will Phantom launch a chain? - Competing with Robinhood, M&A and more! Timestamps: 00:00 Intro 03:59 Why Did Brandon Start Phantom? 12:05 Building For Crypto Users vs Normies 20:57 Ads (Zcash, Katana) 22:11 Launching Phantom CASH 27:26 How To Scale As a Startup 35:42 Launching Perps 47:12 Ads (Zcash, Katana) 48:26 How Does Phantom Generate Revenue? 53:16 The Next Chapter of Phantom 56:24 Phantom's Recent M&A 01:02:16 Ads (mantle) 01:03:15 Will Phantom Launch a Chain? 01:11:25 Prediction Markets 01:15:31 Will Phantom IPO? 01:21:01 Phantom Connect
1:25:52

New episode with Brandon Millman Donnie Dinch out now! Yano 🟪 We discuss: - Phantom's next chapter - Launching perps & CASH - Will Phantom IPO? - Scaling as a startup - Will Phantom launch a chain? - Competing with Robinhood, M&A and more! Timestamps: 00:00 Intro 03:59 Why Did Brandon Start Phantom? 12:05 Building For Crypto Users vs Normies 20:57 Ads (Zcash, Katana) 22:11 Launching Phantom CASH 27:26 How To Scale As a Startup 35:42 Launching Perps 47:12 Ads (Zcash, Katana) 48:26 How Does Phantom Generate Revenue? 53:16 The Next Chapter of Phantom 56:24 Phantom's Recent M&A 01:02:16 Ads (mantle) 01:03:15 Will Phantom Launch a Chain? 01:11:25 Prediction Markets 01:15:31 Will Phantom IPO? 01:21:01 Phantom Connect

Empire 🟪

109,541 просмотров • 10 месяцев назад

My conversation with James Clear James understands habits, motivation, and psychology better than nearly anyone and has a knack for making things practical and useful. Enjoy! Timestamps: 0:00 Intro 00:56 The Role of Identity in Habit Formation 03:38 Lack of Patience Changes the Outcome 13:46 Creating Conditions for Success 17:44 Finding the Confidence to Start 34:32 Positioning in Business and Life 01:07:21 Sequencing Through the Eras of Your Life 01:25:34 The Most Important Habits 01:37:31 Become Stronger Than Your Feelings 01:54:40 Consistency vs. Intensity 02:06:40 Prioritization
2:13:26

My conversation with James Clear James understands habits, motivation, and psychology better than nearly anyone and has a knack for making things practical and useful. Enjoy! Timestamps: 0:00 Intro 00:56 The Role of Identity in Habit Formation 03:38 Lack of Patience Changes the Outcome 13:46 Creating Conditions for Success 17:44 Finding the Confidence to Start 34:32 Positioning in Business and Life 01:07:21 Sequencing Through the Eras of Your Life 01:25:34 The Most Important Habits 01:37:31 Become Stronger Than Your Feelings 01:54:40 Consistency vs. Intensity 02:06:40 Prioritization

Shane Parrish

846,530 просмотров • 8 месяцев назад

Months ago, Dustin Kittle reached out to me to tell me how our farmers are losing their farmland and the government is allowing it to happen. Dustin was one of the inspirations for starting my show in the first place because I thought to myself, "if people only knew." Last week I drove down to Tennessee to film this episode of him telling his story. I know I am a very small fish, but I hope this reaches the right people to make a difference to save our family farms. Dustin is not just a farmer, he is also a very successful lawyer. If he can't stop this, our small farms have no chance. We need President Trump and congress to step in immediately. --- 01:18 Dustin’s Background 03:30 Buying a Farm 07:35 What is Farm Credit? 09:27 Farm Credit Administration 12:34 Getting a Loan 22:37 Farm Credit Goes After His Mom 41:09 Extortion 47:22 File Complaint with FCA 58:51 What the FCA Did 01:05:47 Why is this Happening? 01:10:38 Foreclosure 01:19:21 After the Loan was Paid 01:25:08 FCA Releases Findings 01:31:21 Dustin Kittle Sues the President 02:02:25 What can we do? 02:06:56 Why Dustin was Targeted 02:21:05 Keeping People Quiet 02:22:51 What can Farmers Do? 02:25:38 Farm Credit Sues Dustin 02:29:35 Threats Against Dustin 02:34:20 Suing Biden and Not Trump 02:36:32 Foreign Governments Buying Farmland 02:37:46 What Farm Credit Does with the Land 02:43:14 What can we do - continued Quick Hitters 02:51:52 Thoughts on Brooke Rollins 02:56:35 Subsidies 03:01:54 Bird Flu 03:08:34 Country of Origin Labeling 03:10:32 Pesticide Immunity
3:28:52

Months ago, Dustin Kittle reached out to me to tell me how our farmers are losing their farmland and the government is allowing it to happen. Dustin was one of the inspirations for starting my show in the first place because I thought to myself, "if people only knew." Last week I drove down to Tennessee to film this episode of him telling his story. I know I am a very small fish, but I hope this reaches the right people to make a difference to save our family farms. Dustin is not just a farmer, he is also a very successful lawyer. If he can't stop this, our small farms have no chance. We need President Trump and congress to step in immediately. --- 01:18 Dustin’s Background 03:30 Buying a Farm 07:35 What is Farm Credit? 09:27 Farm Credit Administration 12:34 Getting a Loan 22:37 Farm Credit Goes After His Mom 41:09 Extortion 47:22 File Complaint with FCA 58:51 What the FCA Did 01:05:47 Why is this Happening? 01:10:38 Foreclosure 01:19:21 After the Loan was Paid 01:25:08 FCA Releases Findings 01:31:21 Dustin Kittle Sues the President 02:02:25 What can we do? 02:06:56 Why Dustin was Targeted 02:21:05 Keeping People Quiet 02:22:51 What can Farmers Do? 02:25:38 Farm Credit Sues Dustin 02:29:35 Threats Against Dustin 02:34:20 Suing Biden and Not Trump 02:36:32 Foreign Governments Buying Farmland 02:37:46 What Farm Credit Does with the Land 02:43:14 What can we do - continued Quick Hitters 02:51:52 Thoughts on Brooke Rollins 02:56:35 Subsidies 03:01:54 Bird Flu 03:08:34 Country of Origin Labeling 03:10:32 Pesticide Immunity

Anna Matson

88,930 просмотров • 1 год назад

“ OpenAI and Anthropic will have to create their own chips” “ AI is going to cause massive labor shortages.” “ I would be surprised if in five years Nvidia wasn't worth $10 trillion” The best podcast episodes are opinionated, gritty and go against everything you thought you knew. This is that and more and my 7 takeaways with Jonathan Ross 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: (00:00) Intro (01:10) Analyzing the Current Market Landscape (03:33) Why the Hyperscalers Have to Keep Spending Recklessly on AI (12:35) Why OpenAI and Anthropic Will Have to Build Their Own Chips (18:14) OpenAI and Anthropic Will be $5BN Companies: The Bull Case (28:20) Why China is Behind the US in AI and Deepseek is More Expensive to Run (34:37) How Europe Could Compete in AI and Why the US is More Risk Averse Than Europe (37:21) Why We Have to Have Nuclear Energy and How to Bring it Back (48:16) Deflationary Pressures and New Job Markets (51:54) The Future of Vibe Coding (53:40) Why AI Companies Should Strive to Have Low Margins (58:46) S&P 7000, Mag 7 & Market Choppiness (01:06:44) Why OpenAI and Anthropic are so Undervalued (01:13:35) The Chip Market in 5 Years (01:21:51) Quick-Fire Round: Biggest Fear, Nvidia: $10TRN, Zuck Buying AI: Work or Not
1:31:19

“ OpenAI and Anthropic will have to create their own chips” “ AI is going to cause massive labor shortages.” “ I would be surprised if in five years Nvidia wasn't worth $10 trillion” The best podcast episodes are opinionated, gritty and go against everything you thought you knew. This is that and more and my 7 takeaways with Jonathan Ross 👇 Spotify 👉 Youtube 👉 Apple Podcasts 👉 Timestamps: (00:00) Intro (01:10) Analyzing the Current Market Landscape (03:33) Why the Hyperscalers Have to Keep Spending Recklessly on AI (12:35) Why OpenAI and Anthropic Will Have to Build Their Own Chips (18:14) OpenAI and Anthropic Will be $5BN Companies: The Bull Case (28:20) Why China is Behind the US in AI and Deepseek is More Expensive to Run (34:37) How Europe Could Compete in AI and Why the US is More Risk Averse Than Europe (37:21) Why We Have to Have Nuclear Energy and How to Bring it Back (48:16) Deflationary Pressures and New Job Markets (51:54) The Future of Vibe Coding (53:40) Why AI Companies Should Strive to Have Low Margins (58:46) S&P 7000, Mag 7 & Market Choppiness (01:06:44) Why OpenAI and Anthropic are so Undervalued (01:13:35) The Chip Market in 5 Years (01:21:51) Quick-Fire Round: Biggest Fear, Nvidia: $10TRN, Zuck Buying AI: Work or Not

Harry Stebbings

106,162 просмотров • 11 месяцев назад

Reasoning from scratch round 2: In this video, I cover the text generation process in LLMs and KV caching (to prepare the base model before adding reasoning techniques in the upcoming ones). 00:00 Introduction and reasoning model demo 01:55 How to work through the book 05:00 Chapter 2 overview 08:25 Checking PyTorch and hardware support 10:26 Apple silicon and MPS caveats 15:00 Cloud GPU options 16:08 Tokens and tokenization 18:20 Qwen3 and the Reasoning From Scratch package 23:05 Encoding and decoding text 26:24 Downloading weights and selecting a device 31:01 Loading the pretrained Qwen3 model 34:32 How LLMs generate text 36:47 Input tensors and batch dimensions 41:48 Running the model in inference mode 44:11 Logits and next-token predictions 49:21 Greedy decoding with argmax 52:28 Building a streaming text generator 01:01:28 Generating text and handling end-of-sequence tokens 01:06:00 Benchmarking text generation 01:14:34 How KV caching works 01:17:22 Adding KV caching and measuring the speedup 01:24:31 Model compilation with torch.compile 01:30:33 Combining compilation with KV caching 01:32:53 Comparing CPU and GPU performance 01:35:32 Recap and next steps
1:36:42

Reasoning from scratch round 2: In this video, I cover the text generation process in LLMs and KV caching (to prepare the base model before adding reasoning techniques in the upcoming ones). 00:00 Introduction and reasoning model demo 01:55 How to work through the book 05:00 Chapter 2 overview 08:25 Checking PyTorch and hardware support 10:26 Apple silicon and MPS caveats 15:00 Cloud GPU options 16:08 Tokens and tokenization 18:20 Qwen3 and the Reasoning From Scratch package 23:05 Encoding and decoding text 26:24 Downloading weights and selecting a device 31:01 Loading the pretrained Qwen3 model 34:32 How LLMs generate text 36:47 Input tensors and batch dimensions 41:48 Running the model in inference mode 44:11 Logits and next-token predictions 49:21 Greedy decoding with argmax 52:28 Building a streaming text generator 01:01:28 Generating text and handling end-of-sequence tokens 01:06:00 Benchmarking text generation 01:14:34 How KV caching works 01:17:22 Adding KV caching and measuring the speedup 01:24:31 Model compilation with torch.compile 01:30:33 Combining compilation with KV caching 01:32:53 Comparing CPU and GPU performance 01:35:32 Recap and next steps

Sebastian Raschka

62,545 просмотров • 3 дней назад