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"Aging is the process of a complex system slowly falling into its chaotic disequilibrium. And it's not like evolution necessarily even set a lifespan for us. It is merely the result of, once the system has been established, how long its intrinsic property stayed ordered before it became disordered."...

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Sabrina Halper

15,981 subscribers

21,980 次观看 • 2 个月前 •via X (Twitter)

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9 条评论

Sabrina Halper 的头像
Sabrina Halper2 个月前

YouTube:

Sabrina Halper 的头像
Sabrina Halper2 个月前

Spotify:

Sabrina Halper 的头像
Sabrina Halper2 个月前

Apple:

henrique cunha 的头像
henrique cunha2 个月前

awesome conversation @jacobkimmel has such a clear view and communication, really engaging to hear! and you're a great interviewer as well

spncejet 的头像
spncejet2 个月前

Great interview, he is very smart.

Nima Alidoust 的头像
Nima Alidoust2 个月前

Good conversation!

Antiagng 的头像
Antiagng2 个月前

Basically his view is that we will get like 10% more life quality?

Hadi 的头像
Hadi2 个月前

isn’t there some jelly fish that is not dying?

Sabrina Halper 的头像
Sabrina Halper2 个月前

We discuss that jellyfish:)

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Ashlee Vance

39,238 次观看 • 9 个月前

E182: Jordi Visser - Why Aging is a disease, Why Bitcoin is a hedge against abundance and why you shouldn't buy a house! Jordi Visser spent three decades on Wall Street, from a Morgan Stanley trading desk to CIO at Weiss Multi-Strategy. These days he studies AI, macro, and longevity full time. We cover why he thinks aging is optional, why Bitcoin is the only asset he'd bet on for the next decade, and why money never actually made him happy. 00:00 Intro 02:10 Jordi's Weekend Recap 03:49 The Blueprint For Living To 100 04:31 Why Longevity Became An Obsession 05:44 What Kills A Healthy Habit 07:20 Supplements & Meds: Worth It? 09:51 Partnerships: Variational Bitwise 10:44 The First Step Into Longevity 12:17 Wealth's Hidden Effect On Longevity 14:03 Peptides & Hormones: Jordi's Take 17:47 What Is Heart-Rate Variability? 21:21 How To Track Your HRV 23:17 Average vs. Great HRV 25:12 Lessons From The Finance World 29:10 Learning What Money Really Means 31:58 Partnership: KAST 32:47 Why Make More Money At All 35:20 "AI Will Make Everything Abundant" 38:20 Does Abundance Mean Cheaper? 38:54 Why We'll Still Need Wealth 41:22 How Jordi Fell Into Bitcoin 47:44 Jordi's Bitcoin Thesis, Simplified 50:10 How Much Bitcoin Is In His Portfolio 50:48 Would Jordi Ever Sell? 51:52 Partnerships: Jupiter Ethena 52:38 How Big Can Bitcoin Get 54:00 On "Bitcoin Is Too Expensive" 55:28 Why A Crypto Channel, Not Just Bitcoin 56:25 Does Jordi Own Other Crypto 57:24 Other Scarce Assets He's Bought 58:41 Should 20-Somethings Buy A House 01:02:00 Routine vs. Unique 01:03:57 Why Allergies Aren't Real 01:07:02 Closing Thoughts
1:07:34

E182: Jordi Visser - Why Aging is a disease, Why Bitcoin is a hedge against abundance and why you shouldn't buy a house! Jordi Visser spent three decades on Wall Street, from a Morgan Stanley trading desk to CIO at Weiss Multi-Strategy. These days he studies AI, macro, and longevity full time. We cover why he thinks aging is optional, why Bitcoin is the only asset he'd bet on for the next decade, and why money never actually made him happy. 00:00 Intro 02:10 Jordi's Weekend Recap 03:49 The Blueprint For Living To 100 04:31 Why Longevity Became An Obsession 05:44 What Kills A Healthy Habit 07:20 Supplements & Meds: Worth It? 09:51 Partnerships: Variational Bitwise 10:44 The First Step Into Longevity 12:17 Wealth's Hidden Effect On Longevity 14:03 Peptides & Hormones: Jordi's Take 17:47 What Is Heart-Rate Variability? 21:21 How To Track Your HRV 23:17 Average vs. Great HRV 25:12 Lessons From The Finance World 29:10 Learning What Money Really Means 31:58 Partnership: KAST 32:47 Why Make More Money At All 35:20 "AI Will Make Everything Abundant" 38:20 Does Abundance Mean Cheaper? 38:54 Why We'll Still Need Wealth 41:22 How Jordi Fell Into Bitcoin 47:44 Jordi's Bitcoin Thesis, Simplified 50:10 How Much Bitcoin Is In His Portfolio 50:48 Would Jordi Ever Sell? 51:52 Partnerships: Jupiter Ethena 52:38 How Big Can Bitcoin Get 54:00 On "Bitcoin Is Too Expensive" 55:28 Why A Crypto Channel, Not Just Bitcoin 56:25 Does Jordi Own Other Crypto 57:24 Other Scarce Assets He's Bought 58:41 Should 20-Somethings Buy A House 01:02:00 Routine vs. Unique 01:03:57 Why Allergies Aren't Real 01:07:02 Closing Thoughts

MR SHIFT 🦁

157,650 次观看 • 1 个月前

A Physics That Could Finally Unify Reality (Part 2/2) - James Ellias, DemystifySci #385 A quiet tremor sounds beneath the floorboards of physics, the still-living heartbeat of the forgotten search for the hidden substance that carries every wave and whisper of the universe. We walk through the fog of equations and theories of fundamental physics with James Ellias of James Ellias, and ask if there is a material truth lies beneath the symbols, or if we have to be satisfied with the short-sighted vision of mathematics alone. 00:00 Go! 00:04:37 Central Equations in Physics 00:08:20 The Importance of a Medium in Physics 00:10:00 Empowerment Through Understanding Physics 00:12:36 Rationality and Truth in Society 00:16:31 Existence vs Consciousness 00:20:30 Discussion on Existence and Consciousness 00:24:25 Role of Imagination in Existence 00:28:10 Properties and Entities in Physics 00:30:15 The Nature of Aether and Physical Mediums 00:36:08 Clarity and Understanding in Physics 00:40:26 Discussion on Force and Aether 00:44:57 Relationship of Entities and Actions 00:49:30 Theoretical Framework for Aether 00:58:04 Exploration of Aether Theories 01:00:40 Importance of Conciseness in Communication 01:02:00 Understanding Physics Before Proposing Hypotheses 01:05:15 Reevaluation of Flawed Theories 01:09:35 The Evolution of Key Physics Concepts 01:15:19 Context-Specific Nature of Constants 01:19:43 Historical Context in Physics 01:21:36 The Nature of Electrons 01:25:53 J.J. Thomson’s Evolving Perspective 01:29:24 Upcoming Work and Philosophical Frameworks 01:32:11 Collaborations
1:33:44

A Physics That Could Finally Unify Reality (Part 2/2) - James Ellias, DemystifySci #385 A quiet tremor sounds beneath the floorboards of physics, the still-living heartbeat of the forgotten search for the hidden substance that carries every wave and whisper of the universe. We walk through the fog of equations and theories of fundamental physics with James Ellias of James Ellias, and ask if there is a material truth lies beneath the symbols, or if we have to be satisfied with the short-sighted vision of mathematics alone. 00:00 Go! 00:04:37 Central Equations in Physics 00:08:20 The Importance of a Medium in Physics 00:10:00 Empowerment Through Understanding Physics 00:12:36 Rationality and Truth in Society 00:16:31 Existence vs Consciousness 00:20:30 Discussion on Existence and Consciousness 00:24:25 Role of Imagination in Existence 00:28:10 Properties and Entities in Physics 00:30:15 The Nature of Aether and Physical Mediums 00:36:08 Clarity and Understanding in Physics 00:40:26 Discussion on Force and Aether 00:44:57 Relationship of Entities and Actions 00:49:30 Theoretical Framework for Aether 00:58:04 Exploration of Aether Theories 01:00:40 Importance of Conciseness in Communication 01:02:00 Understanding Physics Before Proposing Hypotheses 01:05:15 Reevaluation of Flawed Theories 01:09:35 The Evolution of Key Physics Concepts 01:15:19 Context-Specific Nature of Constants 01:19:43 Historical Context in Physics 01:21:36 The Nature of Electrons 01:25:53 J.J. Thomson’s Evolving Perspective 01:29:24 Upcoming Work and Philosophical Frameworks 01:32:11 Collaborations

Anastasia

13,618 次观看 • 9 个月前

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models
1:38:17

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models

Ashlee Vance

80,718 次观看 • 9 个月前

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 次观看 • 3 个月前

My full conversation with Spencer, founder of Orange Cap Games & new CEO of Moonbirds. The first ever upload of Max Abstraction. Enjoy! Chapters: 00:00 – Intro & Spencer joins Max Abstraction 06:45 – Spencer’s Web3 & gaming background 17:08 – Vibes: early challenges & lessons 27:14 – Crypto vs traditional gamer culture 34:08 – Korea’s impact on crypto & NFTs 39:04 – Sneak peek: Legend of the Littles 42:42 – Vibes’ evolving art & quality focus 46:27 – Breaking silhouette fatigue 50:51 – Art integrity & QC obsession 56:34 – How the Moonbirds deal happened 57:32 – Why OCG bought Moonbirds, not SV 58:53 – Mythics art: the hidden gem 01:01:49 – Moonbirds vs Mythics 01:02:41 – Market reacts to the acquisition 01:04:30 – Why Moonbirds needed new hands 01:06:18 – Vibes proves what OCG can do 01:07:42 – Set 3 is already in motion 01:09:13 – Doing it right vs fast 01:10:44 – Product-first mindset 01:12:15 – The future of Moonbirds
2:25:25

My full conversation with Spencer, founder of Orange Cap Games & new CEO of Moonbirds. The first ever upload of Max Abstraction. Enjoy! Chapters: 00:00 – Intro & Spencer joins Max Abstraction 06:45 – Spencer’s Web3 & gaming background 17:08 – Vibes: early challenges & lessons 27:14 – Crypto vs traditional gamer culture 34:08 – Korea’s impact on crypto & NFTs 39:04 – Sneak peek: Legend of the Littles 42:42 – Vibes’ evolving art & quality focus 46:27 – Breaking silhouette fatigue 50:51 – Art integrity & QC obsession 56:34 – How the Moonbirds deal happened 57:32 – Why OCG bought Moonbirds, not SV 58:53 – Mythics art: the hidden gem 01:01:49 – Moonbirds vs Mythics 01:02:41 – Market reacts to the acquisition 01:04:30 – Why Moonbirds needed new hands 01:06:18 – Vibes proves what OCG can do 01:07:42 – Set 3 is already in motion 01:09:13 – Doing it right vs fast 01:10:44 – Product-first mindset 01:12:15 – The future of Moonbirds

Ely

24,807 次观看 • 1 年前