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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

Flutter

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17,788 просмотров • 29 дней назад •via X (Twitter)

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Flutter can help minimize onboarding friction and training overhead thanks to Dart’s short learning curve! The Knowunity team was able to hire and scale their team with Dart from supporting 50K users to 1M users within 1 year! ↓

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Learn how SoFi reduced their codebase 60% using Flutter ✂ A unified codebase let the team delete 1M lines of code, slashing maintenance while shipping faster to iOS and Android. Chapters: 1:01 - The problem 1:23 - Why SoFi chose Flutter 2:17 - Results of migration

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Our new podcast on evals, with Max Niederman, Ege Erdil, and Stephen Yang. 0:00:00 – What's an eval, and how's it different from an RL environment? 0:19:33 – Why are models bad at building an emulator when the task is fully verifiable? 0:42:00 – How does training on bad data teach models to write terrible code? 1:04:00 – Why is continual learning still so bad? 2:25:24 – Why haven't software engineers been replaced when coding is basically solved? Listen to the Mechanize Podcast on YouTube, Spotify, etc. Enjoy!

Our new podcast on evals, with Max Niederman, Ege Erdil, and Stephen Yang. 0:00:00 – What's an eval, and how's it different from an RL environment? 0:19:33 – Why are models bad at building an emulator when the task is fully verifiable? 0:42:00 – How does training on bad data teach models to write terrible code? 1:04:00 – Why is continual learning still so bad? 2:25:24 – Why haven't software engineers been replaced when coding is basically solved? Listen to the Mechanize Podcast on YouTube, Spotify, etc. Enjoy!

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40,069 просмотров • 2 месяцев назад

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34,392 просмотров • 8 месяцев назад

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Andrew D. Huberman, Ph.D.

427,399 просмотров • 11 дней назад

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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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 просмотров • 1 месяц назад

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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438,982 просмотров • 3 месяцев назад

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833,098 просмотров • 4 месяцев назад

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

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Matt Turck

33,195 просмотров • 3 месяцев назад

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

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 просмотров • 3 месяцев назад

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

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 просмотров • 1 месяц назад

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 просмотров • 1 месяц назад

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.

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 просмотров • 6 месяцев назад