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Today on MCG: BioLLM | $BIOLLM It's the first ever "living language model" using 800,000 real human neurons grown on a chip. The Founder encoded LLM tokens into biological neurons via the Cortical Labs CL1, then woke up to find the crypto community had launched a token on his...

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16,826 görüntüleme • 3 ay önce •via X (Twitter)

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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
1:28:39

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

Ashlee Vance

39,041 görüntüleme • 8 ay önce

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
1:03:13

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

Raoul Pal

280,175 görüntüleme • 1 yıl önce

Aidan Gomez (Aidan Gomez) is a computer scientist, co-author of the seminal paper ‘Attention Is All You Need,’ and the CEO of Cohere. In this episode, we discussed his upbringing in the cabin his grandfather built in Codrington, a small town North of Brighton, and the values that were instilled in him through his family. We explored his path from Codrington to his undergraduate studies at the University of Toronto, emailing Geoffrey Hinton, and joining Google Brain where he co-wrote the paper on transformers. We discussed how he met his co-founders Ivan Zhang and Nick Frosst, and his insights on what it means to build a meaningful, successful company in Canada. Aidan shares his conviction about what is at stake — for Canada and for the world at large. This is a conversation about family, values, and what it means to live with conviction. The Other Stuff is hosted by internetVin — filmmaker, entrepreneur, and possibly the most curious man on Earth. Produced by New. The Other Stuff #29 — Aidan Gomez: Empathy and Conviction — Timestamps 00:00:00 Intro 00:03:10 The Malleability of Toronto 00:11:06 Growing Up in Codrington 00:13:50 The Story of Aidan Gomez’s Family 00:27:23 Introduction to the Internet 00:30:39 Values and Work Ethic 00:35:46 University of Toronto’s AI Scene 00:40:48 Emailing Geoffrey Hinton 00:42:16 Google Brain 00:45:15 Dropout: A Simple Way to Prevent Neural Networks from Overfitting 00:49:48 The Beauty of Research 00:54:24 One Model to Rule Them All 00:59:54 Meeting Ivan Zhang and Nick Frosst 01:04:00 The Birth of Cohere 01:06:56 Twitter Influencers and Alex Friedland 01:11:48 Being the CEO 01:12:51 Building for Canada 01:15:01 Three Fundamental Ingredients of Building a Company 01:21:39 Working with the Canadian Government 01:24:39 Reflexivity in Canada 01:36:22 What Is Evil? 01:42:40 The Role of AI in the World
1:46:27

Aidan Gomez (Aidan Gomez) is a computer scientist, co-author of the seminal paper ‘Attention Is All You Need,’ and the CEO of Cohere. In this episode, we discussed his upbringing in the cabin his grandfather built in Codrington, a small town North of Brighton, and the values that were instilled in him through his family. We explored his path from Codrington to his undergraduate studies at the University of Toronto, emailing Geoffrey Hinton, and joining Google Brain where he co-wrote the paper on transformers. We discussed how he met his co-founders Ivan Zhang and Nick Frosst, and his insights on what it means to build a meaningful, successful company in Canada. Aidan shares his conviction about what is at stake — for Canada and for the world at large. This is a conversation about family, values, and what it means to live with conviction. The Other Stuff is hosted by internetVin — filmmaker, entrepreneur, and possibly the most curious man on Earth. Produced by New. The Other Stuff #29 — Aidan Gomez: Empathy and Conviction — Timestamps 00:00:00 Intro 00:03:10 The Malleability of Toronto 00:11:06 Growing Up in Codrington 00:13:50 The Story of Aidan Gomez’s Family 00:27:23 Introduction to the Internet 00:30:39 Values and Work Ethic 00:35:46 University of Toronto’s AI Scene 00:40:48 Emailing Geoffrey Hinton 00:42:16 Google Brain 00:45:15 Dropout: A Simple Way to Prevent Neural Networks from Overfitting 00:49:48 The Beauty of Research 00:54:24 One Model to Rule Them All 00:59:54 Meeting Ivan Zhang and Nick Frosst 01:04:00 The Birth of Cohere 01:06:56 Twitter Influencers and Alex Friedland 01:11:48 Being the CEO 01:12:51 Building for Canada 01:15:01 Three Fundamental Ingredients of Building a Company 01:21:39 Working with the Canadian Government 01:24:39 Reflexivity in Canada 01:36:22 What Is Evil? 01:42:40 The Role of AI in the World

The Other Stuff Podcast

45,297 görüntüleme • 8 ay önce

What Paramedics Saw During COVID: Harry Fisher on Bret Weinstein's Inside Rail 00:00:00 Welcome Harry Fisher, Paramedic & Military Veteran 00:01:02 What Are the Roles of an EMT & Paramedic? 00:07:29 Life Before vs. After COVID 00:09:06 Questioning the Logic Behind Vaccinating Medical Professionals First 00:10:16 When Activity Started to Pick Up 00:14:45 The Viral Video that Got Harry Labeled a Terrorist 00:24:15 Reading the Insert Online Got Harry Fired 00:30:40 After the Shots Rolled Out 00:37:02 Aortic Dissection 00:43:56 Prior to COVID: Heart Attacks for 25 & Under? 00:48:29 Anecdotal Experiences 00:52:09 The 2020 Pattern, Pre-Vaccines 00:56:06 The "Real World" in 2025 Recognizes the Patterns 01:00:00 Paramedics are Short Staffed 01:07:58 Will Paramedics Stand Up Together? 01:14:20 Faith & the Medical Freedom Movement 01:25:09 Read Harry Fisher's Book & Follow Him on X
1:26:48

What Paramedics Saw During COVID: Harry Fisher on Bret Weinstein's Inside Rail 00:00:00 Welcome Harry Fisher, Paramedic & Military Veteran 00:01:02 What Are the Roles of an EMT & Paramedic? 00:07:29 Life Before vs. After COVID 00:09:06 Questioning the Logic Behind Vaccinating Medical Professionals First 00:10:16 When Activity Started to Pick Up 00:14:45 The Viral Video that Got Harry Labeled a Terrorist 00:24:15 Reading the Insert Online Got Harry Fired 00:30:40 After the Shots Rolled Out 00:37:02 Aortic Dissection 00:43:56 Prior to COVID: Heart Attacks for 25 & Under? 00:48:29 Anecdotal Experiences 00:52:09 The 2020 Pattern, Pre-Vaccines 00:56:06 The "Real World" in 2025 Recognizes the Patterns 01:00:00 Paramedics are Short Staffed 01:07:58 Will Paramedics Stand Up Together? 01:14:20 Faith & the Medical Freedom Movement 01:25:09 Read Harry Fisher's Book & Follow Him on X

The Darkhorse Podcast

19,424 görüntüleme • 9 ay önce

Moiz Ali built Native and sold it for $100M in 2.5 years. In this episode, he shares the playbook he still uses today as an investor and operator: 00:05:30 - Life After the Exit 00:11:00 - The Power of Having a Chip on Your Shoulder 00:18:45 - Inside Meta and Why It's So Volatile 00:22:10 - What Makes a Brand Truly Investable? 00:26:45 - What Is a Healthy Profit Margin? 00:30:00 - Brand vs. Product: What Matters More? 00:38:30 - How to Test Products Before Scaling 00:51:00 - What's the End Game? 01:00:30 - Hiring Exceptional People 01:11:30 - Rapid-Fire Questions If you’re building an e-commerce business, this one is worth watching.
1:17:14

Moiz Ali built Native and sold it for $100M in 2.5 years. In this episode, he shares the playbook he still uses today as an investor and operator: 00:05:30 - Life After the Exit 00:11:00 - The Power of Having a Chip on Your Shoulder 00:18:45 - Inside Meta and Why It's So Volatile 00:22:10 - What Makes a Brand Truly Investable? 00:26:45 - What Is a Healthy Profit Margin? 00:30:00 - Brand vs. Product: What Matters More? 00:38:30 - How to Test Products Before Scaling 00:51:00 - What's the End Game? 01:00:30 - Hiring Exceptional People 01:11:30 - Rapid-Fire Questions If you’re building an e-commerce business, this one is worth watching.

Elevator Goods

54,460 görüntüleme • 1 ay önce

Open Tab Ep 3: Ashlee Vance on new media, getting close to Elon and showing audiences where the world is headed before it gets there. 00:00 "Elon might actually bankrupt me" 00:01:08 George Hotz joyride 00:07:09 Silicon Valley watering hole 00:09:00 They thought I was a woman 00:12:07 Life before and after the Elon biography 00:15:30 Monthly dinners with Elon 00:22:05 "95% accurate" 00:25:00 Elon said "I'm gonna destroy your life" 00:27:02 Kim Dotcom raid 00:27:30 Reconciling with Elon 00:29:49 Getting access to Neuralink 00:31:00 Bryan Johnson documentary 00:33:40 Funding movies 00:35:17 EVE Online 00:36:09 Hello World: Emmy nomination 00:37:18 Audience reach: Substack vs Bloomberg 00:38:39 PR people out of touch 00:40:13 65% of YouTube viewers watching on a TV 00:42:30 Ayahuasca on assignment 00:45:06 "I had the best job in media" 00:45:30 Started media company anyway
47:56

Open Tab Ep 3: Ashlee Vance on new media, getting close to Elon and showing audiences where the world is headed before it gets there. 00:00 "Elon might actually bankrupt me" 00:01:08 George Hotz joyride 00:07:09 Silicon Valley watering hole 00:09:00 They thought I was a woman 00:12:07 Life before and after the Elon biography 00:15:30 Monthly dinners with Elon 00:22:05 "95% accurate" 00:25:00 Elon said "I'm gonna destroy your life" 00:27:02 Kim Dotcom raid 00:27:30 Reconciling with Elon 00:29:49 Getting access to Neuralink 00:31:00 Bryan Johnson documentary 00:33:40 Funding movies 00:35:17 EVE Online 00:36:09 Hello World: Emmy nomination 00:37:18 Audience reach: Substack vs Bloomberg 00:38:39 PR people out of touch 00:40:13 65% of YouTube viewers watching on a TV 00:42:30 Ayahuasca on assignment 00:45:06 "I had the best job in media" 00:45:30 Started media company anyway

Substack

23,889 görüntüleme • 3 ay önce

In 2014, Keller Cliffton Cliffton shut down his robotic toy startup to build a drone delivery network for life-saving medical supplies. Everyone said it wouldn’t work. Today, Zipline delivers for hospitals around the world. Now it’s reinventing how delivery works with Platform 2 - starting with Walmart and Chipotle in the US. This is a story of betting everything to transform the world. Featuring Keenan Wyrobek, Ryan Oksenhorn, Maggie Jim, Alfred Lin Hosted by Roelof Botha 00:00 – Chewing Glass 00:55 – Discovering Entrepreneurship 02:00 – From Robots to Real Problems 03:00 – The Vision for Global Health Logistics 04:30 – Betting on Rwanda 06:00 – Building the System 08:00 – The First Flight 09:15 – Breakthrough and Scale 11:15 – The Moment of Validation 12:30 – Platform Two: A New Bet 14:15 – Seeing Is Believing 15:45 – The Next Frontier 16:30 – Never Giving Up
17:27

In 2014, Keller Cliffton Cliffton shut down his robotic toy startup to build a drone delivery network for life-saving medical supplies. Everyone said it wouldn’t work. Today, Zipline delivers for hospitals around the world. Now it’s reinventing how delivery works with Platform 2 - starting with Walmart and Chipotle in the US. This is a story of betting everything to transform the world. Featuring Keenan Wyrobek, Ryan Oksenhorn, Maggie Jim, Alfred Lin Hosted by Roelof Botha 00:00 – Chewing Glass 00:55 – Discovering Entrepreneurship 02:00 – From Robots to Real Problems 03:00 – The Vision for Global Health Logistics 04:30 – Betting on Rwanda 06:00 – Building the System 08:00 – The First Flight 09:15 – Breakthrough and Scale 11:15 – The Moment of Validation 12:30 – Platform Two: A New Bet 14:15 – Seeing Is Believing 15:45 – The Next Frontier 16:30 – Never Giving Up

Sequoia Capital

1,340,956 görüntüleme • 10 ay önce

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:
1:11:41

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,952 görüntüleme • 4 ay önce

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI
1:30:01

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

205,973 görüntüleme • 26 gün önce

Full interview w/Pop Punk 🇺🇸 01:05 - Founder background 01:34 - Pumpcade lore 03:15 - "Trenchifying" prediction markets 04:35 - Hackathon win and Pump.fun's support 06:40 - Advice to crypto founders 09:10 - Tokenized startups are the future 09:58 - Future of the token and common misconceptions 11:48 - VC pullback 14:08 - Token utility 17:19 - Preseed raise ($1m) 18:30 - The pitch 20:15 - Building on Solana (Solana_devs) 21:35 - Hiring talent (Steve + gnar) 23:00 - Platform redesign 24:00 - GTM & competition 26:00 - Infrastructure revamp 27:50 - User base and stats 29:58 - Tokenomics 31:00 - Fee & revenue model 31:35 - TAM 32:00 - Web2 native 35:25 - Inspo 37: 51 - Permissionless markets 43:00 - A thank you to the early supporters 43:15 - What's to come
45:32

Full interview w/Pop Punk 🇺🇸 01:05 - Founder background 01:34 - Pumpcade lore 03:15 - "Trenchifying" prediction markets 04:35 - Hackathon win and Pump.fun's support 06:40 - Advice to crypto founders 09:10 - Tokenized startups are the future 09:58 - Future of the token and common misconceptions 11:48 - VC pullback 14:08 - Token utility 17:19 - Preseed raise ($1m) 18:30 - The pitch 20:15 - Building on Solana (Solana_devs) 21:35 - Hiring talent (Steve + gnar) 23:00 - Platform redesign 24:00 - GTM & competition 26:00 - Infrastructure revamp 27:50 - User base and stats 29:58 - Tokenomics 31:00 - Fee & revenue model 31:35 - TAM 32:00 - Web2 native 35:25 - Inspo 37: 51 - Permissionless markets 43:00 - A thank you to the early supporters 43:15 - What's to come

MCG

22,043 görüntüleme • 4 ay önce

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?
1:42:41

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?

owl

44,279 görüntüleme • 8 ay önce

Everyone knows alon But @pumpdotfun actually has three co-founders We hosted Sapijiju for his first-ever conversation about $PUMP Timestamps 0:00 Intro & Noah's Crypto Journey 7:15 Learning from Failure to Product Market Fit 11:20 Crypto's Lack of Innovation 16:30 Current Creator Models are Broken 18:00 Pump's Content Vision 23:00 Pump as a Product First Operation 25:00 Growing the Pie for Streaming 29:00 Innovating on Content Distribution 34:00 Letting Content Grow Organically 37:40 +$1.5B worth of SOL is locked in Pump Liquidity Pools 40:20 Creating a Global Impact with Pump 42:20 What could Pump do with its Warchest? 47:00 The Pump Buybacks 51:00 Why People use Pump 54:00 The Culture Shift of Crypto 57:00 Traditional models no Longer Work 59:00 The Cycle of Human Nature
1:06:36

Everyone knows alon But @pumpdotfun actually has three co-founders We hosted Sapijiju for his first-ever conversation about $PUMP Timestamps 0:00 Intro & Noah's Crypto Journey 7:15 Learning from Failure to Product Market Fit 11:20 Crypto's Lack of Innovation 16:30 Current Creator Models are Broken 18:00 Pump's Content Vision 23:00 Pump as a Product First Operation 25:00 Growing the Pie for Streaming 29:00 Innovating on Content Distribution 34:00 Letting Content Grow Organically 37:40 +$1.5B worth of SOL is locked in Pump Liquidity Pools 40:20 Creating a Global Impact with Pump 42:20 What could Pump do with its Warchest? 47:00 The Pump Buybacks 51:00 Why People use Pump 54:00 The Culture Shift of Crypto 57:00 Traditional models no Longer Work 59:00 The Cycle of Human Nature

Delphi Digital

258,042 görüntüleme • 11 ay önce

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇
58:52

From a Thai prison cell to a fintech empire processing $1.6B in international payments across 40+ banks and 250M+ users. Jonathan Low (Jonathan Low). Forbes 40 Under 40. Author of "Cell to CEO." We covered prison, banking for AI agents, RWA projects, the future of crypto in banking, vibe coding for trading, and the businesses that win the next 5 years. ⏱ Timestamps: 00:00:00 — Teaser 00:00:46 — Who is Jonathan Low 00:01:35 — What Jonathan's life was like before prison 00:02:13 — How and why Jonathan ended up in prison 00:02:57 — Prison conditions: expectations vs reality 00:07:33 — Prison became the greatest blessing 00:09:12 — How the entrepreneurial journey began after prison 00:10:34 — Why social capital matters 00:11:06 — Launched own club and took it to the top in 3 months 00:12:09 — Built an Axie Infinity gaming guild during COVID 00:13:49 — The beginning of the BipTap Group journey 00:17:23 — How Jonathan built his own banking system 00:20:07 — How to get a crypto card 00:22:03 — How much it costs to launch a white-label solution with BipTap 00:22:58 — Banking for AI agents 00:25:57 — How to build an RWA project 00:27:45 — Future of cryptocurrencies in banking 00:32:08 — The business verticals within Empire Group 00:32:48 — What Jonathan invests his money in 00:33:54 — How relationships with regulators are built 00:34:43 — Implementing AI in business 00:36:28 — Vibe coding in trading 00:40:06 — Advice for first-time founders 00:43:36 — From construction to trading: Ruslan Khairullin's journey 00:44:57 — Inner peace: why calmness is essential for founders 00:50:39 — Work-life balance for entrepreneurs 00:53:47 — $1.5 million in 24 hours on TST coin 00:55:11 — The best way to capture a market 00:55:57 — Banking for nations Watch the full conversation and let me know which part you liked the most 👇

Ruslan Khairullin

16,872 görüntüleme • 2 ay önce

I'm often asked for the best public example of AI evals done right for a real, production product. I finally have an answer. Teresa Torres shares how she shipped an AI interview coach, and used evals to rapidly squash bugs and improve the product. Teresa shows how she: 1. did error analysis FIRST to find real issues (instead of using generic metrics) 😍 2. used Jupyter notebooks to analyze errors 3. built custom annotation tools + custom widgets in notebooks 4. built a LLM-judge and assertions to test for specific errors 5. iterated through this feedback loop until it worked. 6. kept things simple the whole time It's also probably the best commercial for Jupyter notebooks you can imagine. 🥰 Chapter summary below. Link to YT in next thread 00:00:00 - Intro 00:01:45 - The Product: Building an AI Interview Coach 00:06:34 - The Problem: How Do I Know if My AI Coach is Any Good? 00:10:15 - Using Airtable for Traces and Annotation 00:12:15 - Discovering Jupyter Notebooks and Designing the First Evals 00:15:15 - Example Evals: LLM-as-Judge vs. Code-Based Assertions 00:21:00 - Learning Python with ChatGPT to Analyze Eval Results 00:31:00 - VS Code, Custom Tools, and an Eval Investigation Notebook 00:39:45 - Building a Custom Annotation Tool with Claude 00:41:00 - From Personal Project to Production App 00:46:02 - How Should PMs and Engineers Collaborate on AI Products? 00:55:45 - Q&A: Capturing Feedback and Annotations from End Users 00:58:11 - Q&A: Is a Technical Background Necessary to Build AI? 01:02:28 - Q&A: What's Next for Teresa? 01:03:13 - Q&A: Unpacking the Micro-Decisions of Building an AI App
1:10:22

I'm often asked for the best public example of AI evals done right for a real, production product. I finally have an answer. Teresa Torres shares how she shipped an AI interview coach, and used evals to rapidly squash bugs and improve the product. Teresa shows how she: 1. did error analysis FIRST to find real issues (instead of using generic metrics) 😍 2. used Jupyter notebooks to analyze errors 3. built custom annotation tools + custom widgets in notebooks 4. built a LLM-judge and assertions to test for specific errors 5. iterated through this feedback loop until it worked. 6. kept things simple the whole time It's also probably the best commercial for Jupyter notebooks you can imagine. 🥰 Chapter summary below. Link to YT in next thread 00:00:00 - Intro 00:01:45 - The Product: Building an AI Interview Coach 00:06:34 - The Problem: How Do I Know if My AI Coach is Any Good? 00:10:15 - Using Airtable for Traces and Annotation 00:12:15 - Discovering Jupyter Notebooks and Designing the First Evals 00:15:15 - Example Evals: LLM-as-Judge vs. Code-Based Assertions 00:21:00 - Learning Python with ChatGPT to Analyze Eval Results 00:31:00 - VS Code, Custom Tools, and an Eval Investigation Notebook 00:39:45 - Building a Custom Annotation Tool with Claude 00:41:00 - From Personal Project to Production App 00:46:02 - How Should PMs and Engineers Collaborate on AI Products? 00:55:45 - Q&A: Capturing Feedback and Annotations from End Users 00:58:11 - Q&A: Is a Technical Background Necessary to Build AI? 01:02:28 - Q&A: What's Next for Teresa? 01:03:13 - Q&A: Unpacking the Micro-Decisions of Building an AI App

Hamel Husain

51,376 görüntüleme • 1 yıl önce

Michael Truell (Michael Truell), co-founder and CEO of Anysphere, the company behind Cursor, joined Garry Tan to talk about building one of the fastest-growing startups of all time—and why he's betting everything on a world beyond code. He walks through the early insights that led him and his co-founders to leave a promising AI-powered CAD project and instead chase a bigger dream: reinventing how software is written. From the hard years of false starts and rewrites to Cursor's breakthrough moment, Michael explains what it really takes to build a tool that could eventually replace programming as we know it. He also reflects on their first 10 hires, why taste still matters, and how the decade ahead will unlock a new kind of creativity for builders everywhere. 01:00 - A new way to build software 04:50 - Two ways to view LLMs 05:50 - Bottlenecks to superhuman agents 08:30 - New approaches to coding UI 09:40 - Why taste still matters 12:15 - Niche software opportunities 13:30 - Cursor origin story 16:00 - The first problem they tried solving 17:20 - Why they abandoned the CAD idea 21:00 - Pivoting to Cursor 23:00 - Following the scaling laws 27:00 - Getting to PMF 30:00 - “Dogfooding” 31:00 - First 10 hires 32:50 - How to evaluate great engineers 33:45 - Maintaining the hacker mindset 35:00 - What are the moats for AI coding tools? 37:00 - Looking ahead
37:28

Michael Truell (Michael Truell), co-founder and CEO of Anysphere, the company behind Cursor, joined Garry Tan to talk about building one of the fastest-growing startups of all time—and why he's betting everything on a world beyond code. He walks through the early insights that led him and his co-founders to leave a promising AI-powered CAD project and instead chase a bigger dream: reinventing how software is written. From the hard years of false starts and rewrites to Cursor's breakthrough moment, Michael explains what it really takes to build a tool that could eventually replace programming as we know it. He also reflects on their first 10 hires, why taste still matters, and how the decade ahead will unlock a new kind of creativity for builders everywhere. 01:00 - A new way to build software 04:50 - Two ways to view LLMs 05:50 - Bottlenecks to superhuman agents 08:30 - New approaches to coding UI 09:40 - Why taste still matters 12:15 - Niche software opportunities 13:30 - Cursor origin story 16:00 - The first problem they tried solving 17:20 - Why they abandoned the CAD idea 21:00 - Pivoting to Cursor 23:00 - Following the scaling laws 27:00 - Getting to PMF 30:00 - “Dogfooding” 31:00 - First 10 hires 32:50 - How to evaluate great engineers 33:45 - Maintaining the hacker mindset 35:00 - What are the moats for AI coding tools? 37:00 - Looking ahead

Y Combinator

337,015 görüntüleme • 1 yıl önce

Some personal news - I am launching a podcast HD in HD Podcast to share what would normally be offline conversations with exceptional people online. Have had the great fortune of co-founding BRex which has led to several great relationships with other builders over the years. I find that the best way to learn anything is through conversations with brilliant people. To kick things off, listen in on a thoughtful conversation with Vlad Tenev. Hope you enjoy these off the script conversations. 00:00:00 Introduction 00:01:00 Decision to stop drinking 00:07:26 Day of the IPO feeling 00:12:37 How Vlad was as a kid 00:19:51 Raising kids 00:24:01 Source of motivation 00:24:48 Getting into Stanford 00:30:05 Time at Stanford 00:33:32 Grad school 00:42:25 First company 00:48:35 Second company 00:53:10 Beginning of Robinhood 00:59:54 Positioning of Robinhood 01:04:04 Being depicted in movies 01:12:06 Trader influencers 01:15:27 Serving active traders 01:20:26 Meeting wife 01:27:13 Downsides & upsides of being a CEO 01:31:30 Minimizing phone addiction 01:35:06 GameStop 01:49:02 Final learnings
1:56:22

Some personal news - I am launching a podcast HD in HD Podcast to share what would normally be offline conversations with exceptional people online. Have had the great fortune of co-founding BRex which has led to several great relationships with other builders over the years. I find that the best way to learn anything is through conversations with brilliant people. To kick things off, listen in on a thoughtful conversation with Vlad Tenev. Hope you enjoy these off the script conversations. 00:00:00 Introduction 00:01:00 Decision to stop drinking 00:07:26 Day of the IPO feeling 00:12:37 How Vlad was as a kid 00:19:51 Raising kids 00:24:01 Source of motivation 00:24:48 Getting into Stanford 00:30:05 Time at Stanford 00:33:32 Grad school 00:42:25 First company 00:48:35 Second company 00:53:10 Beginning of Robinhood 00:59:54 Positioning of Robinhood 01:04:04 Being depicted in movies 01:12:06 Trader influencers 01:15:27 Serving active traders 01:20:26 Meeting wife 01:27:13 Downsides & upsides of being a CEO 01:31:30 Minimizing phone addiction 01:35:06 GameStop 01:49:02 Final learnings

Henrique Dubugras

27,801 görüntüleme • 1 yıl önce

Excited to launch a new podcast dedicated to conversations on the future of neurotech, computing, intelligence, and more. First guest: Max Hodak founder & CEO of Science Corporation, which is building PRIMA, a retinal prosthetic that’s restoring meaningful vision for patients with blindness caused by age-related macular degeneration. Science is also developing a biohybrid brain implant that grows living neurons directly onto a silicon chip, then interfaces that system with the cortex. The possibility space here is vast and new. Imagine growing new areas of the brain. Sections 00:00 What counts as neurotech? 01:45 History of brain-computer interfaces and the smartphone dividend 07:25 PRIMA - How Science is restoring vision in blind patients 10:10 Why stimulating bipolar cells works when the optic nerve doesn't 30:30 Are we bottlenecked by biology or engineering? 32:40 Expanding the brain's bandwidth beyond 10 bits per second 37:00 Can we add new areas to the brain? 37:46 Biohybrid BCIs: neurons growing on a chip 39:20 What could neural augmentation look like? 01:13:20 How Science drives Fast R&D 01:44:00 How founders learn and level up This is the kind of discussion I’m excited to explore on this podcast. Enjoy! Full Episode 1 here and in links below.
2:02:19

Excited to launch a new podcast dedicated to conversations on the future of neurotech, computing, intelligence, and more. First guest: Max Hodak founder & CEO of Science Corporation, which is building PRIMA, a retinal prosthetic that’s restoring meaningful vision for patients with blindness caused by age-related macular degeneration. Science is also developing a biohybrid brain implant that grows living neurons directly onto a silicon chip, then interfaces that system with the cortex. The possibility space here is vast and new. Imagine growing new areas of the brain. Sections 00:00 What counts as neurotech? 01:45 History of brain-computer interfaces and the smartphone dividend 07:25 PRIMA - How Science is restoring vision in blind patients 10:10 Why stimulating bipolar cells works when the optic nerve doesn't 30:30 Are we bottlenecked by biology or engineering? 32:40 Expanding the brain's bandwidth beyond 10 bits per second 37:00 Can we add new areas to the brain? 37:46 Biohybrid BCIs: neurons growing on a chip 39:20 What could neural augmentation look like? 01:13:20 How Science drives Fast R&D 01:44:00 How founders learn and level up This is the kind of discussion I’m excited to explore on this podcast. Enjoy! Full Episode 1 here and in links below.

Juan Benet

405,127 görüntüleme • 4 ay önce

This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks
1:15:17

This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks

The Knowledge Project

453,197 görüntüleme • 1 yıl önce