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This week on the Core Memory pod we sat down with Max Hodak from Science Corp to talk brains, the Merge, the Jennifer Aniston neuron and restoring vision Enjoy! 00:00 – The Matrix inspiration 00:08 – Limitations: physical world vs. simulation 00:32 – The Jennifer Aniston Neuron 02:37 –... Who is Max Hodak? Neuralink & Science Corp 03:44 – The vision for Science Corp 05:03 – Restoring vision to the blind 07:26 – Brain-computer interfaces 10:48 – From Duke University to Silicon Valley 14:20 – BCI industry is still in its infancy 19:28 – The takeoff era of human evolution 21:26 – Industrial Revolution to AGI 24:53 – Challenge of making BCI technology profitable 28:11 – AI, mind uploads, and digital immortality 36:19 – Bio-hybrid technology connecting humans to machines 43:00 – The neuroscience of brain-to-brain communication 51:45 – Retinal implants are restoring sight 58:02 – The next frontiers of BCI and AI integrationshow more

Ashlee Vance

179,606 subscribers

61,719 views • 1 year ago •via X (Twitter)

Health & Wellness Education Science & Technology

Anya Rossi• Live Now

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5 Comments

Ashlee Vance1 year ago

More pods here

AndaSeat1 year ago

🎮 Gamers need naps too! 😌 Kaiser 4's ergonomic recline and memory foam headrest = nap game strong. ✨ Fun fact: Even champions need breaks—power naps keep you in peak form! 🔥 Recharge like a pro: 🎆 Start 2025 right with $20 off your ultimate gaming chair! #AndaSeat #PowerNapGoals #ErgonomicGaming #GamerComfort

vittorio1 year ago

@maxhodak_ incredible episode!

Laszlo Fazekas1 year ago

@maxhodak_ I love this interview. BCI technology and virtual reality could be the solution to all of humanity's problems!

Emmett1 year ago

@maxhodak_ Wow Max made it through an hour and ten without speaking the words Elon or Neuralink.

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Max Hodak (Max Hodak) is the co-founder of Neuralink and founder of Science Corporation, a company building brain-computer interfaces that can restore sight. Science has developed a tiny retinal implant that stimulates cells in the eye to help blind patients see again. More than 40 patients have already received the treatment in clinical trials, including one who recently read a full novel for the first time in over a decade. In this episode of How to Build the Future, Max joined Garry Tan to discuss how BCIs work, what it takes to engineer the brain, and why brain-computer interfaces may become one of the most important technologies of the next decade. 00:26 — The retinal chip helping blind patients see 01:51 — What brain-computer interfaces really are 03:37 — Could BCIs enhance intelligence? 05:44 — The brain’s incredible plasticity 09:23 — What it feels like to see with an implant 13:01 — Can we restore full human vision? 17:55 — Is the brain basically a computer? 24:59 — Max Hodak’s path into brain tech 28:57 — How Neuralink actually started 33:10 — How the brain represents information 39:47 — Bio-hybrid brain interfaces 44:32 — Building the company Science 51:27 — The future of BCIs and human longevity

Max Hodak (Max Hodak) is the co-founder of Neuralink and founder of Science Corporation, a company building brain-computer interfaces that can restore sight. Science has developed a tiny retinal implant that stimulates cells in the eye to help blind patients see again. More than 40 patients have already received the treatment in clinical trials, including one who recently read a full novel for the first time in over a decade. In this episode of How to Build the Future, Max joined Garry Tan to discuss how BCIs work, what it takes to engineer the brain, and why brain-computer interfaces may become one of the most important technologies of the next decade. 00:26 — The retinal chip helping blind patients see 01:51 — What brain-computer interfaces really are 03:37 — Could BCIs enhance intelligence? 05:44 — The brain’s incredible plasticity 09:23 — What it feels like to see with an implant 13:01 — Can we restore full human vision? 17:55 — Is the brain basically a computer? 24:59 — Max Hodak’s path into brain tech 28:57 — How Neuralink actually started 33:10 — How the brain represents information 39:47 — Bio-hybrid brain interfaces 44:32 — Building the company Science 51:27 — The future of BCIs and human longevity

Y Combinator

155,022 views • 5 months ago

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

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Ashlee Vance

38,839 views • 7 months ago

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405,051 views • 4 months ago

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Alex Kantrowitz

54,128 views • 1 year ago

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Sina Habibian

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𝗦𝘂𝗽𝗲𝗿𝗴𝗶𝗿𝗹 💫

26,037 views • 1 year ago

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The Humanoid Hub

45,611 views • 1 year ago

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Raoul Pal

326,827 views • 1 year ago

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

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Juan Benet

49,297 views • 1 month ago

Here's my conversation with Charan Ranganath, psychologist & neuroscientist at UC Davis, specializing in human memory. We talk about memory, imagination, deja vu, false memories, why we remember, why we forget, and a lot of other fascinating mysteries about the human mind. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:03 - Experiencing self vs remembering self 14:44 - Creating memories 24:16 - Why we forget 31:53 - Training memory 42:22 - Memory hacks 54:10 - Imagination vs memory 1:03:29 - Memory competitions 1:13:18 - Science of memory 1:28:33 - Discoveries 1:39:37 - Deja vu 1:44:54 - False memories 2:04:59 - False confessions 2:08:45 - Heartbreak 2:16:19 - Nature of time 2:24:00 - Brain–computer interface (BCI) 2:38:04 - AI and memory 2:48:18 - ADHD 2:55:15 - Music 3:05:00 - Human mind

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Lex Fridman

294,628 views • 2 years ago

Is Physical AI the Next Frontier for Digital Assets? with EtherMage founder of Virtuals Protocol Timestamps: 00:00 Intro 02:15 Virtuals Protocol Recap 05:30 From Digital Agents to Robots 09:00 Eastworlds Launch Explained 12:20 Tele-Operation Pilots Live Now 15:40 Three Reasons Digital Assets Fits with Robotics 20:10 Data Collection & Token Incentives 24:30 Robot-to-Robot Commerce Vision 28:00 What's Missing From the Stack 29:15 Privacy in Physical AI

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The Rollup

17,067 views • 3 months ago

As ever, a fascinating chat with my friend Jordi Visser on AI, crypto, and hedge funds' future... Enjoy! 00:00:00 Introduction 00:00:54 The Big Picture: AI, Crypto, and Macro 00:02:25 Jordie Visser’s Background in Macro and Finance 00:03:30 AI’s Disruptive Impact on the Economy 00:06:32 Rethinking GDP and Productivity 00:08:59 The Future of Labor and Profit Margins 00:10:49 The Rise of the Speculative Economy 00:14:41 Generational Shifts in Investing and Risk-taking 00:16:18 AI and Crypto: A Global Network Effect 00:19:38 Stablecoins and AI-Driven Market Volume Growth 00:24:28 The End of Traditional Hedge Funds? 00:31:16 Deep Research and the Power of AI Analysis 00:35:29 The Acceleration of AI and its Economic Impact 00:41:02 The Growing Crypto Adoption and Its Role in the Future Economy 00:44:22 Shifting from Fear to Optimism in Markets 00:50:27 The Political and Economic Challenges Ahead 00:56:01 Quantum Computing and the Next Leap in AI 01:02:06 Closing Thoughts: Preparing for a Radical Future

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Raoul Pal

280,175 views • 1 year ago

This is EVERYTHING you need to know about building a Company Brain in 28min. From connecting all your tools into one intelligence layer to the new org chart around it. This is the new way to work in the AI era. Here's the full breakdown: 00:00 Introduction & AI Adoption 01:45 The Four Levels of AI Maturity 02:30 The Single Brain Concept 05:30 Building an AI-Powered Org 07:20 Specialist Agents & Agent Fleets 11:20 Workflows & Closed Loops 14:30 Real Agent Examples in Slack 18:00 AI ROI & Token Economics 20:45 Business-to-Agent Commerce 24:10 Action Steps & Future of Work

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ericosiu

59,908 views • 1 month ago

.Jerry Tworek is an AI legend. He came to OpenAI from the world of finance and spent years contributing to some of the company's most important projects. He played a major role in ushering in the era of reasoning and, well, he just left OpenAI. In this Core Memory pod, Kylie Robison and I bring you the exclusive not-so-formal exit interview with Jerry. He explains his dissatisfaction with the company's current research direction and his fears for the field overall. He goes into spots where OpenAI lost its way and Google and Anthropic thrived. And he talks about what he's chasing next. It's a banger. The Core Memory podcast is on all major platforms and on our YouTube channel. This podcast is sponsored by Brex , the intelligent finance platform built to help companies spend smarter and move faster. And it's brought to you by the VC gurus E1 Ventures 🇺🇸 Timestamps 00:00:00 Intro 00:03:37 Jerry Tworek Joins the Pod 00:05:34 Reflecting on Seven Years at OpenAI 00:09:08 Why Jerry Left: 00:12:28 Beyond Pre-Training 00:16:19 The "Sad" Homogeneity of Current AI Labs 00:23:35 The Mavericks: Carmack, Ilya, and LeCun 00:26:32 Training AI on Video Games 00:32:14 Two Big Bets 00:34:32 Updating AGI Timelines 00:37:16 Q-Star 00:41:10 The Coup 00:43:29 Is the Hype Justified? 00:49:23 The Polish Mafia 00:53:15 Google's Comeback and OpenAI's Fumble 00:59:27 Why Anthropic is Impressive 01:03:01 Jerry's Next Chapter 01:11:56 Is AI Research Star-Driven? 01:14:32 Meditation & Conclusion

.Jerry Tworek is an AI legend. He came to OpenAI from the world of finance and spent years contributing to some of the company's most important projects. He played a major role in ushering in the era of reasoning and, well, he just left OpenAI. In this Core Memory pod, Kylie Robison and I bring you the exclusive not-so-formal exit interview with Jerry. He explains his dissatisfaction with the company's current research direction and his fears for the field overall. He goes into spots where OpenAI lost its way and Google and Anthropic thrived. And he talks about what he's chasing next. It's a banger. The Core Memory podcast is on all major platforms and on our YouTube channel. This podcast is sponsored by Brex , the intelligent finance platform built to help companies spend smarter and move faster. And it's brought to you by the VC gurus E1 Ventures 🇺🇸 Timestamps 00:00:00 Intro 00:03:37 Jerry Tworek Joins the Pod 00:05:34 Reflecting on Seven Years at OpenAI 00:09:08 Why Jerry Left: 00:12:28 Beyond Pre-Training 00:16:19 The "Sad" Homogeneity of Current AI Labs 00:23:35 The Mavericks: Carmack, Ilya, and LeCun 00:26:32 Training AI on Video Games 00:32:14 Two Big Bets 00:34:32 Updating AGI Timelines 00:37:16 Q-Star 00:41:10 The Coup 00:43:29 Is the Hype Justified? 00:49:23 The Polish Mafia 00:53:15 Google's Comeback and OpenAI's Fumble 00:59:27 Why Anthropic is Impressive 01:03:01 Jerry's Next Chapter 01:11:56 Is AI Research Star-Driven? 01:14:32 Meditation & Conclusion

Ashlee Vance

11,701 views • 6 months ago

We've got a podcast! In our first episode, Ege, Tamay and Jaime dig into: • What they expect AI to look like by 2030 • Why economists are underestimating the likelihood of explosive growth • The startling regularity in technological trends like Moore's Law • Moravec’s paradox, and how we might overcome it And more more! Timestamps: 00:00:00 Preview 00:00:37 What is Epoch AI? 00:02:32 Scaling Laws 00:08:43 Key Drivers 00:19:20 End of the Decade Predictions 00:21:18 Bottlenecks: Power 00:27:59 Bottlenecks: GPUs 00:32:07 Bottlenecks: Data 00:45:37 Bottlenecks: Latency 00:56:18 Bottlenecks: Failure Rates 01:03:55 AI Investment 01:07:11 Automation 01:12:10 Benchmarks & Moravec’s Paradox 01:19:45 Economic Impact 01:45:48 Open Questions & Takeaways

We've got a podcast! In our first episode, Ege, Tamay and Jaime dig into: • What they expect AI to look like by 2030 • Why economists are underestimating the likelihood of explosive growth • The startling regularity in technological trends like Moore's Law • Moravec’s paradox, and how we might overcome it And more more! Timestamps: 00:00:00 Preview 00:00:37 What is Epoch AI? 00:02:32 Scaling Laws 00:08:43 Key Drivers 00:19:20 End of the Decade Predictions 00:21:18 Bottlenecks: Power 00:27:59 Bottlenecks: GPUs 00:32:07 Bottlenecks: Data 00:45:37 Bottlenecks: Latency 00:56:18 Bottlenecks: Failure Rates 01:03:55 AI Investment 01:07:11 Automation 01:12:10 Benchmarks & Moravec’s Paradox 01:19:45 Economic Impact 01:45:48 Open Questions & Takeaways

Epoch AI

152,591 views • 1 year ago

NEWS: Elon Musk gave a 30-minute lecture on Neuralink last month at the 2024 Congress of Neurological Surgeons (CNS). 01:26 BCI and the Bandwidth Problem 07:01 Applications and World Records 09:25 Timeline for Exceeding Human Performance 12:09 Vertical Integration, Recovering Implant Function 13:07 The R1 Robot and LASIK Metaphor 16:54 Technical Challenges with BCI 19:49 Brain Surgery or Rocket Science? 21:48 Treatment of Disease 24:47 Digital Bridge to Unlocking Human Potential 27:00 N1 Implant Upgrades and Reversibility 28:56 Scaling and Access, The 600-Second Surgery 30:38 Physics and Musk Philosophy on the Possible 32:06 Neuronal Signatures and Network Detection 34:09 Final Thoughts for Neurosurgeons

Sensitive content

NEWS: Elon Musk gave a 30-minute lecture on Neuralink last month at the 2024 Congress of Neurological Surgeons (CNS). 01:26 BCI and the Bandwidth Problem 07:01 Applications and World Records 09:25 Timeline for Exceeding Human Performance 12:09 Vertical Integration, Recovering Implant Function 13:07 The R1 Robot and LASIK Metaphor 16:54 Technical Challenges with BCI 19:49 Brain Surgery or Rocket Science? 21:48 Treatment of Disease 24:47 Digital Bridge to Unlocking Human Potential 27:00 N1 Implant Upgrades and Reversibility 28:56 Scaling and Access, The 600-Second Surgery 30:38 Physics and Musk Philosophy on the Possible 32:06 Neuronal Signatures and Network Detection 34:09 Final Thoughts for Neurosurgeons

ALEX

5,035,149 views • 1 year ago

BG2. All things AI w Sam Altman & Satya Nadella. A Halloween Special. 🎃🔥Bg2 Pod Brad Gerstner -- (00:00) Intro (02:28) Microsoft’s Investment in OpenAI (03:19) The Nonprofit Structure and Its Impact (05:46) Health, AI Security, and Resilience (07:50) Models, Exclusivity, and Distribution (08:58) Revenue Sharing and AGI Milestones (11:38) OpenAI’s Growth and Compute Commitments (15:21) Compute Constraints and Scaling (21:27) The Future of AI Devices and Consumer Use (24:31) Regulation and the Patchwork Problem (28:01) Looking Ahead to 2026 and Beyond (37:10) Microsoft’s Strategic Value from OpenAI (57:15) The Economics of AI and SaaS (1:04:28) Productivity, Jobs, and the Age of AI (1:10:43) Reindustrialization of America

BG2. All things AI w Sam Altman & Satya Nadella. A Halloween Special. 🎃🔥Bg2 Pod Brad Gerstner -- (00:00) Intro (02:28) Microsoft’s Investment in OpenAI (03:19) The Nonprofit Structure and Its Impact (05:46) Health, AI Security, and Resilience (07:50) Models, Exclusivity, and Distribution (08:58) Revenue Sharing and AGI Milestones (11:38) OpenAI’s Growth and Compute Commitments (15:21) Compute Constraints and Scaling (21:27) The Future of AI Devices and Consumer Use (24:31) Regulation and the Patchwork Problem (28:01) Looking Ahead to 2026 and Beyond (37:10) Microsoft’s Strategic Value from OpenAI (57:15) The Economics of AI and SaaS (1:04:28) Productivity, Jobs, and the Age of AI (1:10:43) Reindustrialization of America

Bg2 Pod

558,064 views • 9 months ago

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

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 views • 8 months ago

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

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 views • 8 months ago