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Discover why Knowunity chose to ship their AI learning app with Flutter 📝 Chapters: 0:23 - Why Knowunity chose Flutter 0:38 - Animations 1:19 - Growing to scale: Google fullstack developer products 2:04 - Localization 2:57 - Dart's quick learning curve

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17,788 görüntüleme • 29 gün önce •via X (Twitter)

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The new Huberman Lab episode is out: Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li (Fei-Fei Li) 0:00 Fei-Fei Li 3:46 Vision & Intelligence; Human Vision & Contribution to AI 12:11 Computer Vision & the AI Revolution 18:34 Sponsors: Lingo & Wealthfront 21:19 Speech, Sound & AI Development 23:36 AI & Contextual Learning, Human Intelligence 33:43 Current AI Gaps, Emotion & Creativity 45:48 Computers Enhancing Humanity; Tool: Personal Agency & Learning about AI 53:04 Sponsors: AG1 & LMNT 55:37 Public Discourse about AI 57:34 AI to Enhance Scientific Discovery & Healthcare; Human Collaboration 1:07:38 Intuition, Motivation & Human States Beyond AI 1:19:18 Sponsor: David 1:20:37 Social & Ethical Considerations for AI 1:27:38 Kids, Development & AI Tools; Tool: Prompt AI Effectively 1:35:04 Next Frontier for Robotics & AI; Human Agency 1:43:52 Human-Centered AI Future 1:50:10 World Labs, Spatial Intelligence 1:54:12 Concerns about AI & Creativity; Movies, Art, Storytelling 1:59:51 Younger Generation & AI, Teachers 2:05:38 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.
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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!
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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!

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Here's my conversation with Yann LeCun (Yann LeCun) about AI, importance of open source, limits of LLMs, why AI doomers are wrong, and the path to AGI. This was a fun and fascinating technical conversation! It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:18 - Limits of LLMs 13:54 - Bilingualism and thinking 17:46 - Video prediction 25:07 - JEPA (Joint-Embedding Predictive Architecture) 28:15 - JEPA vs LLMs 37:31 - DINO and I-JEPA 38:51 - V-JEPA 44:22 - Hierarchical planning 50:40 - Autoregressive LLMs 1:06:06 - AI hallucination 1:11:30 - Reasoning in AI 1:29:02 - Reinforcement learning 1:34:10 - Woke AI 1:43:48 - Open source 1:47:26 - AI and ideology 1:49:58 - Marc Andreesen 1:57:56 - Llama 3 2:04:20 - AGI 2:08:48 - AI doomers 2:24:38 - Joscha Bach 2:28:51 - Humanoid robots 2:38:00 - Hope for the future

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Here's my conversation with Rick Beato (Rick Beato), a musician, music educator, producer, songwriter, and host of a YouTube channel that celebrates great musicians & musical ideas, and helps millions of people fall in love with great music all over again. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:44 - Guitar solos 4:43 - Gypsy jazz and Django Reinhardt 6:14 - Bebop jazz 10:27 - Perfect pitch vs relative pitch 15:04 - Learning to play guitar 38:34 - Miles Davis 44:01 - Bass guitar 45:08 - Greatest guitar solos of all time 1:14:23 - 27 Club 1:19:04 - Elton John 1:22:18 - Metallica 1:26:48 - Tom Waits 1:32:39 - Greatest rock stars 1:36:02 - Beethoven 1:42:37 - Bach 1:45:27 - AI in music 1:59:18 - Sabrina Carpenter 2:02:49 - YouTube copyright strikes 2:08:26 - Spotify 2:19:18 - Guitars 2:23:40 - Advice

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BIP-110 and Is the Bitcoin Bottom In? w/ Samson Mow & jake roque 0:00 - Episode Trailer 0:49 - Introducing Samson Mow 2:35 - BIP-110 Explained 14:01 - Secure Your Bitcoin with Unchained 14:59 - Is BIP 110 Doomed to Fail? 23:40 - Bitcoin's Unique Design 26:04 - Final Thoughts on BIP 110 27:49 - What is "Production Ready"? 31:15 - Should Bitcoin Remove OP_RETURN? 38:51 - What is Jan3's Mission? 40:47 - AI Agents Will Use Bitcoin 43:44 - Why Samson Thinks the Bitcoin Bottom Is In 51:18 - Will Bitcoin Replace Gold? 57:32 - Why Aqua Uses Lightning & Liquid 1:04:50 - Where to Follow Samson Mow

Market Disruptors

144,216 görüntüleme • 1 ay önce

What does it mean to make art with code? Tyler Hobbs Studio — the generative artist behind Fidenza, QQL, Incomplete Control, Day Gardens, and more — answers in our new documentary 👇 Plus: the curation of OpenSea's QQL, by Tyler himself. Chapters: 0:00 Art Meets Community 0:37 Meet Tyler Hobbs 0:55 How Code Shaped His Vision 1:15 Order vs. Chaos 1:34 Notable Works 1:48 Inside QQL 2:10 Why QQL Is Open 2:46 The OpenSea Collab 2:53 Picking the Perfect Seed 3:38 A Flagship Honor
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What does it mean to make art with code? Tyler Hobbs Studio — the generative artist behind Fidenza, QQL, Incomplete Control, Day Gardens, and more — answers in our new documentary 👇 Plus: the curation of OpenSea's QQL, by Tyler himself. Chapters: 0:00 Art Meets Community 0:37 Meet Tyler Hobbs 0:55 How Code Shaped His Vision 1:15 Order vs. Chaos 1:34 Notable Works 1:48 Inside QQL 2:10 Why QQL Is Open 2:46 The OpenSea Collab 2:53 Picking the Perfect Seed 3:38 A Flagship Honor

OpenSea

438,982 görüntüleme • 3 ay önce

This guy literally broke down everything to build a 21 agent dev team in Claude Code: 0:00 - Why one prompt = AI slop 1:55 - Claude Code as your full startup 2:43 - The 21-agent team 4:57 - Inside the system analyst agent 5:52 - Live demo: 0 → TestFlight 8:42 - Define a "good" system analyst first 11:53 - The system analyst workflow 12:17 - Why Confluence + Jira + MCPs matter 15:30 - Classic PM skills > vibe coding 19:15 - The scaffolding that kills spaghetti code 22:10 - Setting up agents inside Claude Code 26:19 - The longest dictation prompt this podcast has seen 35:29 - Why dictation beats typing for AI specs 47:30 - Brand guidelines in Figma Make 55:59 - Idea → prompt → design → app 1:06:27 - Claude Code builds the Figma screens 1:23:59 - Frontend tickets appear in Jira (with Figma links) 1:48:49 - The hockey rules AI app goes live 1:53:56 - Full recap: Claude, Confluence, Figma, Jira, Simulator, TestFlight 2:03:17 - Should PMs get AI PM certificates? 2:08:15 - How to build a PM portfolio that lands FAANG offers 2:13:25 - How to get started this week
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This guy literally broke down everything to build a 21 agent dev team in Claude Code: 0:00 - Why one prompt = AI slop 1:55 - Claude Code as your full startup 2:43 - The 21-agent team 4:57 - Inside the system analyst agent 5:52 - Live demo: 0 → TestFlight 8:42 - Define a "good" system analyst first 11:53 - The system analyst workflow 12:17 - Why Confluence + Jira + MCPs matter 15:30 - Classic PM skills > vibe coding 19:15 - The scaffolding that kills spaghetti code 22:10 - Setting up agents inside Claude Code 26:19 - The longest dictation prompt this podcast has seen 35:29 - Why dictation beats typing for AI specs 47:30 - Brand guidelines in Figma Make 55:59 - Idea → prompt → design → app 1:06:27 - Claude Code builds the Figma screens 1:23:59 - Frontend tickets appear in Jira (with Figma links) 1:48:49 - The hockey rules AI app goes live 1:53:56 - Full recap: Claude, Confluence, Figma, Jira, Simulator, TestFlight 2:03:17 - Should PMs get AI PM certificates? 2:08:15 - How to build a PM portfolio that lands FAANG offers 2:13:25 - How to get started this week

Aakash Gupta

178,026 görüntüleme • 3 ay önce

My conversation with liemandt on why the future of education is better than you think. 0:00 The current education system 7:01 What makes Alpha School different 11:01 What are the results 23:20 Current classroom struggles 26:40 What does mastery mean? 35:37 Changing the education system 39:19 Teaching through AI 44:27 How do you solve motivation? 57:01 What makes a good teacher? 1:01:04 Coaching 1:05:17 What life skills matter? 1:08:18 Doing hard things 1:13:25 AI Monitoring 1:21:08 Effort vs. IQ 1:24:40 What happens after Alpha School? 1:38:21 The Genius of Jack Welch 1:45:49 Trilogy IPO: the choice to not go public 1:51:40 Physical vs. virtual learning 2:03:18 Does Paying Kids To Learn work? 2:11:01 What Is Success For You? (Includes paid partnerships)
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My conversation with liemandt on why the future of education is better than you think. 0:00 The current education system 7:01 What makes Alpha School different 11:01 What are the results 23:20 Current classroom struggles 26:40 What does mastery mean? 35:37 Changing the education system 39:19 Teaching through AI 44:27 How do you solve motivation? 57:01 What makes a good teacher? 1:01:04 Coaching 1:05:17 What life skills matter? 1:08:18 Doing hard things 1:13:25 AI Monitoring 1:21:08 Effort vs. IQ 1:24:40 What happens after Alpha School? 1:38:21 The Genius of Jack Welch 1:45:49 Trilogy IPO: the choice to not go public 1:51:40 Physical vs. virtual learning 2:03:18 Does Paying Kids To Learn work? 2:11:01 What Is Success For You? (Includes paid partnerships)

Shane Parrish

833,098 görüntüleme • 4 ay önce

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1:16:39

Deeply thoughtful conversation with Zico Kolter, board member at OpenAI and head of the machine learning department at Carnegie Mellon University, about AI safety, AI security, agents and frontier AI 00:00 Intro 01:32 OpenAI board role and Safety & Security Committee 03:53 How OpenAI reviews major model releases 05:33 OpenAI’s preparedness framework explained 09:46 Are frontier AI models getting safer? 12:33 Why AI safety does not come from scale 15:23 The four categories of AI risk 19:38 Doomerism vs accelerationism in AI 24:11 The six-month AI pause debate 26:20 AI safety as a global effort 28:04 How Zico Kolter got into machine learning 31:05 OpenAI in the early days 34:14 Why Carnegie Mellon became an AI powerhouse 38:43 What Gray Swan does in AI security 40:44 AI safety vs AI security 43:15 The GCG jailbreak paper 49:19 How AI labs responded to jailbreak research 50:19 State-of-the-art AI defenses 52:32 State-of-the-art AI attacks 54:22 Why AI agents expand the attack surface 58:39 Are AI agents ready for production? 59:40 Mechanistic interpretability explained 1:02:31 Will AI be safer in two years? 1:03:46 Reinforcement learning and self-improving models 1:08:09 Do post-transformer architectures matter 1:09:29 Best research directions in AI now 1:11:00 Zico Kolter’s Intro to Modern AI course 1:14:53 Why modern AI is simpler than people think

Matt Turck

33,195 görüntüleme • 3 ay önce

The Delta of Intelligence is Human Data! Curtis G. Northcutt is Director of AI Research at Handshake AI. In this episode, Curtis shares his unique perspectives on human data, RL envs, four quadrants of the AI market, journey of Handshake and much more. 0:00:00 - INTRO 0:02:08 - The Snowman Effect: From Rural Kentucky to 7 Years at MIT 0:09:50 - Confident Learning, Two Systems of Intelligence, Classical ML Has to Prevail 0:20:37 - Origin of CleanLab and Handshake acquisition 0:28:00 - How does GPT-5 become GPT-6? 0:31:20 - The Fastest growing Data Lab: What makes Handshake different? 0:35:32 - Difference between Good Data and Bad Data 0:38:17 - New kind of Data, IA and AI 0:42:04 - Scaling Coding Benchmarks and Efficiency in Long Horizon Tasks 0:49:12 - On Pre-Training, Misconception around Human Data 0:57:13 - Open Question: Taste and Personality, Quick Fire 01:05:15 - Advice to 20yo : Skill and Obsession
1:08:18

The Delta of Intelligence is Human Data! Curtis G. Northcutt is Director of AI Research at Handshake AI. In this episode, Curtis shares his unique perspectives on human data, RL envs, four quadrants of the AI market, journey of Handshake and much more. 0:00:00 - INTRO 0:02:08 - The Snowman Effect: From Rural Kentucky to 7 Years at MIT 0:09:50 - Confident Learning, Two Systems of Intelligence, Classical ML Has to Prevail 0:20:37 - Origin of CleanLab and Handshake acquisition 0:28:00 - How does GPT-5 become GPT-6? 0:31:20 - The Fastest growing Data Lab: What makes Handshake different? 0:35:32 - Difference between Good Data and Bad Data 0:38:17 - New kind of Data, IA and AI 0:42:04 - Scaling Coding Benchmarks and Efficiency in Long Horizon Tasks 0:49:12 - On Pre-Training, Misconception around Human Data 0:57:13 - Open Question: Taste and Personality, Quick Fire 01:05:15 - Advice to 20yo : Skill and Obsession

himanshu

22,264 görüntüleme • 3 ay önce

This video will teach you how to build an AI trading bot that actually works. So simple, literally anyone can execute. 0:00 Intro 1:04 Trading bots explained 3:32 Why most bots fail (avoid these mistakes) 5:23 Your options for deploying a bot 9:12 Set up (Step 1) 12:46 Engineering a strategy (Step 2) 16:03 Giving your bot memory (Step 3) 17:48 Building cloud memory 19:04 Testing with paper money
20:31

This video will teach you how to build an AI trading bot that actually works. So simple, literally anyone can execute. 0:00 Intro 1:04 Trading bots explained 3:32 Why most bots fail (avoid these mistakes) 5:23 Your options for deploying a bot 9:12 Set up (Step 1) 12:46 Engineering a strategy (Step 2) 16:03 Giving your bot memory (Step 3) 17:48 Building cloud memory 19:04 Testing with paper money

Miles Deutscher

111,362 görüntüleme • 1 ay önce

The new Huberman Lab episode is out: How to Improve Your Memory & Cognitive Function at Any Age | Dr. Alan Castel 0:00 Dr. Alan Castel 2:41 What Is Memory?, Reconstruction & Metacognition 4:49 Mnemonics, Remembering Names & Deeper Learning 8:22 The Penny & Apple Logo, Noticing vs Seeing, Learning Through Mistakes 10:43 Sponsors: Wealthfront & Helix 14:05 Neuroplasticity, Frustration, Curiosity & Mindset 17:42 Maintaining vs Learning New Things, Habits, Novelty & Emotional Memory 24:28 "Mental Photographs," Photo-Taking & Imagining the Future 29:28 Eyewitness Memory, the Ronald Cotton Case, Confidence vs Accuracy 35:07 Medium-Term & Prospective Memory, Hotel Fire Exits 40:28 Sponsor: AG1 41:47 When Habits Turn Lethal, Aviation & Human Error 49:01 Why Memory Changes With Age; Alzheimer's & the Nun Study 52:34 Exercise & Hippocampal Volume, Falls & Balance 57:14 SuperAgers & Athletes; Regret, Balance & Being Driven 1:12:08 Sponsor: Function 1:13:45 Age Stereotypes, Subjective Age & Positive Age Beliefs 1:20:02 Goals & Plans, Scams; Anterior Midcingulate Cortex & SuperAgers 1:26:23 Culture, Resilience, Blue Zones & COVID 1:29:18 Adversity, the Positivity Effect & Intergenerational Learning 1:36:31 Sponsor: Lingo 1:38:00 Limitations & Purpose; Time, Family & Connection 1:44:58 Deliberately Building Memories; the ABCs of Successful Aging 1:51:02 Following Your Interests; Castel's Path & Older Adults 1:57:16 Mental Simulations, Curiosity Studies & Selectivity 2:01:19 Socioemotional Selectivity Theory; Steve Jobs & Lifespan 2:07:10 The Secret to Successful Aging; State vs Trait Curiosity 2:11:04 Scams & AI Voice Cloning 2:14:31 John Wooden, Wisdom, Love & Balance 2:17:41 Learning Through Mistakes; Does the Brain Get Better With Age? 2:25:00 Conclusion, Better With Age 2:26:00 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.
2:28:39

The new Huberman Lab episode is out: How to Improve Your Memory & Cognitive Function at Any Age | Dr. Alan Castel 0:00 Dr. Alan Castel 2:41 What Is Memory?, Reconstruction & Metacognition 4:49 Mnemonics, Remembering Names & Deeper Learning 8:22 The Penny & Apple Logo, Noticing vs Seeing, Learning Through Mistakes 10:43 Sponsors: Wealthfront & Helix 14:05 Neuroplasticity, Frustration, Curiosity & Mindset 17:42 Maintaining vs Learning New Things, Habits, Novelty & Emotional Memory 24:28 "Mental Photographs," Photo-Taking & Imagining the Future 29:28 Eyewitness Memory, the Ronald Cotton Case, Confidence vs Accuracy 35:07 Medium-Term & Prospective Memory, Hotel Fire Exits 40:28 Sponsor: AG1 41:47 When Habits Turn Lethal, Aviation & Human Error 49:01 Why Memory Changes With Age; Alzheimer's & the Nun Study 52:34 Exercise & Hippocampal Volume, Falls & Balance 57:14 SuperAgers & Athletes; Regret, Balance & Being Driven 1:12:08 Sponsor: Function 1:13:45 Age Stereotypes, Subjective Age & Positive Age Beliefs 1:20:02 Goals & Plans, Scams; Anterior Midcingulate Cortex & SuperAgers 1:26:23 Culture, Resilience, Blue Zones & COVID 1:29:18 Adversity, the Positivity Effect & Intergenerational Learning 1:36:31 Sponsor: Lingo 1:38:00 Limitations & Purpose; Time, Family & Connection 1:44:58 Deliberately Building Memories; the ABCs of Successful Aging 1:51:02 Following Your Interests; Castel's Path & Older Adults 1:57:16 Mental Simulations, Curiosity Studies & Selectivity 2:01:19 Socioemotional Selectivity Theory; Steve Jobs & Lifespan 2:07:10 The Secret to Successful Aging; State vs Trait Curiosity 2:11:04 Scams & AI Voice Cloning 2:14:31 John Wooden, Wisdom, Love & Balance 2:17:41 Learning Through Mistakes; Does the Brain Get Better With Age? 2:25:00 Conclusion, Better With Age 2:26:00 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.

Andrew D. Huberman, Ph.D.

127,050 görüntüleme • 1 ay önce

The new Huberman Lab episode is out: How Dopamine & Serotonin Shape Decisions, Motivation & Learning | Dr. Read Montague 0:00 Read Montague 2:54 Dopamine, Motivation & Learning 8:49 Reward Prediction Error, Expectations 12:24 Sponsors: David & Joovv 14:54 Foraging, Dating, Expectations vs Outcomes; AI 23:36 Dopamine, Expectation, Motivation; Forward Drive; Dopamine "Hits" 29:58 Baseline Dopamine & Fluctuations; Parkinson's Disease 34:36 Movement, Urgency; ADHD, Bee's Dance, Explorer vs Focus Mode 42:29 Sponsor: AG1 43:40 Social Media, ADHD; Explorers vs Task-Based, Combat 50:54 Effort, Learning; Social Media & Phones, Resisting Behaviors 1:01:36 Serotonin & Dopamine, Opponency, SSRIs 1:11:21 Hunger, Dopamine; Negative Feedback, Learning, Trauma; Torture 1:18:34 Drugs of Abuse & High Dopamine 1:19:48 Sponsor: Function 1:21:35 Trauma & Dopamine Adaptation 1:27:34 SSRIs, Dopamine, Positive Experiences 1:29:50 Deep Brain Stimulation; Measuring Dopamine & Serotonin in Humans 1:36:16 Sleep; Divorce; Science is a Contact Sport 1:45:14 Long-Term Motivation, Learning How to Fail, Tool: Kids & Sports 1:54:14 Sponsor: LMNT 1:55:34 Meditation, Breathing, Learning; Dopamine as a Currency 2:04:38 Function of Sleep, Motivation; Time Perception & Dopamine, Tracking Time 2:13:18 LLMs, AI, Uses & Problem Solving 2:18:33 Future Projects, Commercial Brain-Machine Interfaces; Concentration 2:25:57 Dopamine "Hits"?; Depression & Schizophrenia; Quitting 2:30:17 Dopamine & Serotonin Misunderstandings; Internal Satisfaction; Motivation 2:35:58 Serotonin Syndrome; Acknowledgements 2:38:31 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.
2:41:24

The new Huberman Lab episode is out: How Dopamine & Serotonin Shape Decisions, Motivation & Learning | Dr. Read Montague 0:00 Read Montague 2:54 Dopamine, Motivation & Learning 8:49 Reward Prediction Error, Expectations 12:24 Sponsors: David & Joovv 14:54 Foraging, Dating, Expectations vs Outcomes; AI 23:36 Dopamine, Expectation, Motivation; Forward Drive; Dopamine "Hits" 29:58 Baseline Dopamine & Fluctuations; Parkinson's Disease 34:36 Movement, Urgency; ADHD, Bee's Dance, Explorer vs Focus Mode 42:29 Sponsor: AG1 43:40 Social Media, ADHD; Explorers vs Task-Based, Combat 50:54 Effort, Learning; Social Media & Phones, Resisting Behaviors 1:01:36 Serotonin & Dopamine, Opponency, SSRIs 1:11:21 Hunger, Dopamine; Negative Feedback, Learning, Trauma; Torture 1:18:34 Drugs of Abuse & High Dopamine 1:19:48 Sponsor: Function 1:21:35 Trauma & Dopamine Adaptation 1:27:34 SSRIs, Dopamine, Positive Experiences 1:29:50 Deep Brain Stimulation; Measuring Dopamine & Serotonin in Humans 1:36:16 Sleep; Divorce; Science is a Contact Sport 1:45:14 Long-Term Motivation, Learning How to Fail, Tool: Kids & Sports 1:54:14 Sponsor: LMNT 1:55:34 Meditation, Breathing, Learning; Dopamine as a Currency 2:04:38 Function of Sleep, Motivation; Time Perception & Dopamine, Tracking Time 2:13:18 LLMs, AI, Uses & Problem Solving 2:18:33 Future Projects, Commercial Brain-Machine Interfaces; Concentration 2:25:57 Dopamine "Hits"?; Depression & Schizophrenia; Quitting 2:30:17 Dopamine & Serotonin Misunderstandings; Internal Satisfaction; Motivation 2:35:58 Serotonin Syndrome; Acknowledgements 2:38:31 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.

Andrew D. Huberman, Ph.D.

386,934 görüntüleme • 6 ay önce