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Can machine learning enable 100-plex cryo-EM structure determination? (Ellen Zhong, Ep #5) (links in reply) this is a podcast filmed with Ellen Zhong, a computer science professor at Princeton, and one of the giants (if not outright creators) of the field of deep-learning applied to cryo-EM particle images i... cannot emphasize how lopsided the ratio of (how important this field is) to (how interesting outside observers consider it) is. it's an area of research that i barely understood until last year. but now that i do grasp it, i increasingly believe that Ellen's work (especially in scaling up cryo-EM) will almost certainly end up being a weight-bearing pillar in the future of bio-ML here, we talk about the possibility of running cryo-EM at extremely high scales, what she did during her recent sabbatical at Generate:Biomedicines, her recent interest in areas beyond cryo-EM (cryo-ET and NMR specifically), and more (and thank you to @RushSci for sponsoring this! check out their preclinical computational tools at Timestamps: [00:00:00] Introduction [00:02:43] What does it mean to apply ML to cryo-EM? [00:04:28] Ab initio reconstruction and conformational heterogeneity [00:15:41] Can we do multiplex cryo-EM structure determination? [00:22:19] Datasets in cryo-EM [00:26:25] Why isn’t there a foundation model for cryo-EM particle analysis? [00:33:07] How much practical usage is there of these cryo-EM models amongst wet-lab cryo-EM researchers? [00:40:34] Where can things still improve? [00:46:57] Has deep learning done something in cryo-EM that was previously impossible? [00:48:22] Ellen’s experience in the cryo-EM field [00:53:40] Deep learning in cryo-EM outside of structure determination [00:57:32] 3D volume reconstruction versus residue assignment in cryo-EM [01:00:26] What did Ellen do during her sabbatical at Generate Biomedicines? [01:07:07] Ellen’s research in cryo-ET [01:13:54] Ellen’s research in NMR [01:21:05] How did Ellen get into the cryo-EM field? [01:26:57] Why did Ellen go back to graduate school? [01:32:17] What makes Ellen more confident about trusting an external cryo-EM paper?show more

owl

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During NeurIPS's 2025 conference, Ankit Gupta sat down with Ellen Zhong, an assistant professor of computer science at Princeton, to discuss how machine learning is reshaping structural biology. They explore how proteins aren’t static structures but dynamic molecular machines, and how techniques like cryo-electron microscopy combined with ML are revealing protein motion beyond traditional structure prediction. 00:11 — Introduction 00:55 — From Supercomputers to Cryo-EM 02:43 — The Rise of Cryo-EM 03:30 — Proteins as Dynamic Systems 04:30 — Inverse Problems in Biology 05:31 — Lessons from DeepMind, Industry and Academia 07:35 — Why Protein Dynamics Remain Unsolved 08:29 — Collaborating with Experimental Scientists 09:28 — What’s Overhyped and Underhyped in AI-Driven Biology 10:51 — The Future of AI-Driven Biology

During NeurIPS's 2025 conference, Ankit Gupta sat down with Ellen Zhong, an assistant professor of computer science at Princeton, to discuss how machine learning is reshaping structural biology. They explore how proteins aren’t static structures but dynamic molecular machines, and how techniques like cryo-electron microscopy combined with ML are revealing protein motion beyond traditional structure prediction. 00:11 — Introduction 00:55 — From Supercomputers to Cryo-EM 02:43 — The Rise of Cryo-EM 03:30 — Proteins as Dynamic Systems 04:30 — Inverse Problems in Biology 05:31 — Lessons from DeepMind, Industry and Academia 07:35 — Why Protein Dynamics Remain Unsolved 08:29 — Collaborating with Experimental Scientists 09:28 — What’s Overhyped and Underhyped in AI-Driven Biology 10:51 — The Future of AI-Driven Biology

Y Combinator

13,953 görüntüleme • 6 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?

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 • 7 ay önce

"If NASA and United States can not beat the Chinese back to the moon, then the moon belongs to the Chinese, and we get what we deserve." You don't want to miss this interview. I met Casey Handmer (Casey Handmer) while flying fighter jets in Montana. I Immediately I knew he had a story to tell. Turns out he wants to tile the United States in solar panels, and use that power to generate rocket fuel and clean water for tens of millions of people. Basically to re-invent American industry. In this interview Casey discusses the innovative pursuits of his company Terraform Industries. He reflects on his previous roles at NASA and JPL, where he was frustrated with the inefficiencies and lack of innovation in traditional institutions. Handmer discusses the importance of ambition, self-awareness, curiosity, and practical experience in hiring and developing talent at Terraform. To fully understand the scope of Casey’s ambitions, you should visit his blog where he discusses things like Mars helicopters and desalination to support a new mega city in California. 00:00:00 - 00:00:17 Geopolitical Stakes: US vs. China in Space Race 00:00:17 - 00:01:17 Interview Introduction: Casey's Background and Topics 00:01:17 - 00:03:10 Podcast Setup and Welcome to Terraform Industries 00:03:10 - 00:04:40 Building History and Manufacturing Interest 00:04:40 - 00:07:17 Meeting at Hangar Event and Aircraft Engineering 00:07:17 - 00:20:45 Early Life: Hands-On Building and Career Path 00:20:45 - 00:40:00 Founding Terraform: Synthetic Fuels Vision and Prototypes 00:40:00 - 01:00:00 Technology Deep Dive: Solar to Hydrocarbons and Scaling 01:00:00 - 01:20:00 Energy Geopolitics and US Reindustrialization 01:20:00 - 01:40:00 Team Building, Hiring Philosophy, and Company Culture 01:40:00 - 02:00:00 Hardware vs. Software Challenges and Entrepreneur Advice 02:00:00 - 02:22:24 Future Visions: Desalination and New Cities 02:22:24 - 02:36:39 Closing Call to Action and Thanks

"If NASA and United States can not beat the Chinese back to the moon, then the moon belongs to the Chinese, and we get what we deserve." You don't want to miss this interview. I met Casey Handmer (Casey Handmer) while flying fighter jets in Montana. I Immediately I knew he had a story to tell. Turns out he wants to tile the United States in solar panels, and use that power to generate rocket fuel and clean water for tens of millions of people. Basically to re-invent American industry. In this interview Casey discusses the innovative pursuits of his company Terraform Industries. He reflects on his previous roles at NASA and JPL, where he was frustrated with the inefficiencies and lack of innovation in traditional institutions. Handmer discusses the importance of ambition, self-awareness, curiosity, and practical experience in hiring and developing talent at Terraform. To fully understand the scope of Casey’s ambitions, you should visit his blog where he discusses things like Mars helicopters and desalination to support a new mega city in California. 00:00:00 - 00:00:17 Geopolitical Stakes: US vs. China in Space Race 00:00:17 - 00:01:17 Interview Introduction: Casey's Background and Topics 00:01:17 - 00:03:10 Podcast Setup and Welcome to Terraform Industries 00:03:10 - 00:04:40 Building History and Manufacturing Interest 00:04:40 - 00:07:17 Meeting at Hangar Event and Aircraft Engineering 00:07:17 - 00:20:45 Early Life: Hands-On Building and Career Path 00:20:45 - 00:40:00 Founding Terraform: Synthetic Fuels Vision and Prototypes 00:40:00 - 01:00:00 Technology Deep Dive: Solar to Hydrocarbons and Scaling 01:00:00 - 01:20:00 Energy Geopolitics and US Reindustrialization 01:20:00 - 01:40:00 Team Building, Hiring Philosophy, and Company Culture 01:40:00 - 02:00:00 Hardware vs. Software Challenges and Entrepreneur Advice 02:00:00 - 02:22:24 Future Visions: Desalination and New Cities 02:22:24 - 02:36:39 Closing Call to Action and Thanks

Penny2x

1,598,196 görüntüleme • 9 ay 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

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

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:

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 • 3 ay 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

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 • 7 ay önce

This one was personal in a way I didn’t expect. I sat down with Vivek Ramaswamy —not just to talk politics—but to talk about faith, family, and what drives him as a man. We got into what it was like growing up as the child of Indian immigrants, how his faith shapes the way he sees the world, and why he’s more interested in speaking the truth than winning approval. (00:06:54) – Milwaukee Debate (00:14:25) – What Vivek Learned from His Presidential Campaign (00:18:42) – Who Is Vivek? (00:27:20) – Apoorva Ramaswamy (00:31:37) – Breaking News! (00:34:44) – Having Children (00:38:54) – Vivek’s Parents (00:42:53) – What Vivek Has Done by Age 40 (01:01:10) – Top 3 Priorities as Governor of Ohio (01:04:57) – DOGE (01:11:24) – Epstein Files (01:19:32) – Vivek in 10 Years

This one was personal in a way I didn’t expect. I sat down with Vivek Ramaswamy —not just to talk politics—but to talk about faith, family, and what drives him as a man. We got into what it was like growing up as the child of Indian immigrants, how his faith shapes the way he sees the world, and why he’s more interested in speaking the truth than winning approval. (00:06:54) – Milwaukee Debate (00:14:25) – What Vivek Learned from His Presidential Campaign (00:18:42) – Who Is Vivek? (00:27:20) – Apoorva Ramaswamy (00:31:37) – Breaking News! (00:34:44) – Having Children (00:38:54) – Vivek’s Parents (00:42:53) – What Vivek Has Done by Age 40 (01:01:10) – Top 3 Priorities as Governor of Ohio (01:04:57) – DOGE (01:11:24) – Epstein Files (01:19:32) – Vivek in 10 Years

Sage Steele

243,044 görüntüleme • 1 yıl önce

🚨New Episode: Please welcome Shiloe Bear to the Fort! As the founder of Creek Development, Shiloe has completed 63 commercial redevelopment projects and 5 land entitlement plays in the San Francisco Bay Area. Leveraging her deep construction expertise, she challenges project assumptions and incorporates impactful design to achieve remarkable outcomes for her clients and investors. We discuss: - Building Creek as an outsourced developer - Converting industrial buildings into biotech lab space - A deep dive into the Bay Area RE market - Why design is such an important aspect of development 00:00:00 - Intro 00:01:11 - Shiloe’s upbringing and journey to doing development in the Bay Area 00:08:25 - What are the projects you work on the most? 00:11:01 - Why is there such a demand for outsourced development? 00:11:47 - What makes your firm different? 00:16:50 - Minimum Viable Projects 00:21:47 - How early in a project do you need to be brought in? 00:25:14 - What are some obvious parts of a project where you can save money? 00:27:30 - How would you describe the Bay Area market right now? 00:33:35 - Office to Residential 00:37:46 - What’s the environment like for Oakland? 00:42:31 - How Shiloe is planning to pivot her business into doing their own developments 00:47:51 - How important are the relationships you’ve developed in The Bay over the past 10 years? 00:53:06 - The BioTech market and development strategy 01:00:55 - Why design matters 01:08:27 - How far out are labs looking for space? 01:09:46 - Lenders, Leases, and hold periods 01:12:36 - Why did this become your niche? 01:14:13 - Shiloe’s bird-watching skills & long-distance running

🚨New Episode: Please welcome Shiloe Bear to the Fort! As the founder of Creek Development, Shiloe has completed 63 commercial redevelopment projects and 5 land entitlement plays in the San Francisco Bay Area. Leveraging her deep construction expertise, she challenges project assumptions and incorporates impactful design to achieve remarkable outcomes for her clients and investors. We discuss: - Building Creek as an outsourced developer - Converting industrial buildings into biotech lab space - A deep dive into the Bay Area RE market - Why design is such an important aspect of development 00:00:00 - Intro 00:01:11 - Shiloe’s upbringing and journey to doing development in the Bay Area 00:08:25 - What are the projects you work on the most? 00:11:01 - Why is there such a demand for outsourced development? 00:11:47 - What makes your firm different? 00:16:50 - Minimum Viable Projects 00:21:47 - How early in a project do you need to be brought in? 00:25:14 - What are some obvious parts of a project where you can save money? 00:27:30 - How would you describe the Bay Area market right now? 00:33:35 - Office to Residential 00:37:46 - What’s the environment like for Oakland? 00:42:31 - How Shiloe is planning to pivot her business into doing their own developments 00:47:51 - How important are the relationships you’ve developed in The Bay over the past 10 years? 00:53:06 - The BioTech market and development strategy 01:00:55 - Why design matters 01:08:27 - How far out are labs looking for space? 01:09:46 - Lenders, Leases, and hold periods 01:12:36 - Why did this become your niche? 01:14:13 - Shiloe’s bird-watching skills & long-distance running

Chris Powers

64,474 görüntüleme • 2 yıl önce

$New episode with the incredible former PepsiCo CEO Indra Nooyi - the first woman of color and immigrant to run a Fortune 50 company. In this conversation, Indra discusses the stories behind her rise to the top of one of the world's largest companies. From early days at the Boston Consulting Group using satellite photos to analyze competitor facilities, to personally tracking 400 potential executives as CEO, Indra reveals the granular thinking that separates great leaders from good ones. Her "zoom in, zoom out" philosophy transformed how she understood business — from the "right side of the decimal" where even a fraction of a penny matters across millions of transactions, to setting company strategy at 30,000 feet. She explains why most leaders fail because they don't understand their business at the most granular level. But perhaps most powerful is her candid discussion about the reality of being a working mother in the C-suite where she argues there is no such thing as work-life balance. Watch now for a masterclass in leadership, strategy, and the sacrifices required to reach the top. (00:02:37) Growing Up In India (00:04:38) USA Culture Shock (00:09:54) Lessons From Working In Consulting (00:14:13) Right Side Of The Decimal Lesson (00:16:59) Lessons From Working In Consulting PT 2 (00:20:39) Delivering A Message That Gets Heard (00:23:19) Developing Talent (00:26:46) How To Minimize Office Politics (00:29:14) Power And Humility In Life (00:31:53) Prioritizing Work Over Family / Finding Balance (00:37:39) Turnover After A CEO Change (00:41:09) CEO Vs Board Member (00:44:41) Implementable Change In A Company (00:47:00) Removing Friction Instead Of Using Force (00:48:46) Lessons From Amazon (00:50:36) Leading Through Crisis (00:54:01) Dealing With Activist Investors (00:57:20) Women As CEOS (00:58:40) Equality of Opportunity (01:02:32) Bias In Performance Reviews (01:04:09) Almost Quitting PepsiCo (01:05:48) What I Learned From Steve Jobs (01:10:35) Lessons From Costco And Walmart (01:18:43) Secrets to PepsiCo Merchandising (01:20:59) Making Decisions At A Multi Billion Dollar Company (01:22:40) Lessons From Acquisitions (01:25:52) Traits Of A High Performing Employee (01:27:44) Remote Work Vs In Office$

New episode with the incredible former PepsiCo CEO Indra Nooyi - the first woman of color and immigrant to run a Fortune 50 company. In this conversation, Indra discusses the stories behind her rise to the top of one of the world's largest companies. From early days at the Boston Consulting Group using satellite photos to analyze competitor facilities, to personally tracking 400 potential executives as CEO, Indra reveals the granular thinking that separates great leaders from good ones. Her "zoom in, zoom out" philosophy transformed how she understood business — from the "right side of the decimal" where even a fraction of a penny matters across millions of transactions, to setting company strategy at 30,000 feet. She explains why most leaders fail because they don't understand their business at the most granular level. But perhaps most powerful is her candid discussion about the reality of being a working mother in the C-suite where she argues there is no such thing as work-life balance. Watch now for a masterclass in leadership, strategy, and the sacrifices required to reach the top. (00:02:37) Growing Up In India (00:04:38) USA Culture Shock (00:09:54) Lessons From Working In Consulting (00:14:13) Right Side Of The Decimal Lesson (00:16:59) Lessons From Working In Consulting PT 2 (00:20:39) Delivering A Message That Gets Heard (00:23:19) Developing Talent (00:26:46) How To Minimize Office Politics (00:29:14) Power And Humility In Life (00:31:53) Prioritizing Work Over Family / Finding Balance (00:37:39) Turnover After A CEO Change (00:41:09) CEO Vs Board Member (00:44:41) Implementable Change In A Company (00:47:00) Removing Friction Instead Of Using Force (00:48:46) Lessons From Amazon (00:50:36) Leading Through Crisis (00:54:01) Dealing With Activist Investors (00:57:20) Women As CEOS (00:58:40) Equality of Opportunity (01:02:32) Bias In Performance Reviews (01:04:09) Almost Quitting PepsiCo (01:05:48) What I Learned From Steve Jobs (01:10:35) Lessons From Costco And Walmart (01:18:43) Secrets to PepsiCo Merchandising (01:20:59) Making Decisions At A Multi Billion Dollar Company (01:22:40) Lessons From Acquisitions (01:25:52) Traits Of A High Performing Employee (01:27:44) Remote Work Vs In Office

Farnam Street

114,125 görüntüleme • 1 yıl önce

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

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

49,297 görüntüleme • 1 ay önce

What could Alphafold 4 look like? (Sergey Ovchinnikov, Ep #3) 2 hours listening time (links below) To those in the (machine-learning for protein design) space, Dr. Sergey Ovchinnikov (Sergey Ovchinnikov) is a very, very well-recognized name. A recent MIT professor (circa early 2024), he has played a part in a staggering number of recent great papers in the field: ColabFold, RFDiffusion, Bindcraft, automated design of soluble proxies of membrane proteins, elucidating what protein language models are learning, conformational sampling via Alphafold2, and many more. Of course, all these papers were group efforts, but Sergey's name comes up astonishingly frequently! And even beyond the research that have come from his lab in the last few years, the co-evolution work he did during his PhD/fellowship also laid some of the groundwork for the original Alphafold paper, being cited twice in it. This is a two hour conversation with him, asking every question I could think of. We talk about his own journey into biology research, an issue he has with Alphafold3, what Alphafold4-and-beyond models may look like, what research he’d want to spend a hundred million dollars on, and lots more. Topics/institutions we discuss: Arc Institute's Evo models, Hannah Wayment-Steele's work, Isomorphic Labs's AF2/AF3, and EvolutionaryScale's ESM models Also, extremely grateful to Asimov Press (Asimov Press) for helping fund the travel + studio time required for this episode! They are a non-profit publisher dedicated to thoughtful writing on biology and metascience, such as articles over synthetic blood and interviews with plant geneticists. I myself have published within them twice! I highly recommend checking out their essays at or reaching out to editors@asimov.com if you’re interested in contributing. Timestamps: [00:00:00] Highlight clips [00:01:10] Introduction + Sergey's background and how he got into the field [00:18:14] Is conservation all you need? [00:23:26] Ambiguous vs non-ambiguous regions in proteins [00:24:59] What will AlphaFold 4/5/6 look like? [00:36:19] Diffusion vs. inversion for protein design [00:44:52] A problem with Alphafold3 [00:53:41] MSA vs. single sequence models [01:06:52] How Sergey picks research problems [01:21:06] What are DNA models like Evo learning? [01:29:11] The problem with train/test splits in biology [01:49:07] What Sergey would do with $100 million

What could Alphafold 4 look like? (Sergey Ovchinnikov, Ep #3) 2 hours listening time (links below) To those in the (machine-learning for protein design) space, Dr. Sergey Ovchinnikov (Sergey Ovchinnikov) is a very, very well-recognized name. A recent MIT professor (circa early 2024), he has played a part in a staggering number of recent great papers in the field: ColabFold, RFDiffusion, Bindcraft, automated design of soluble proxies of membrane proteins, elucidating what protein language models are learning, conformational sampling via Alphafold2, and many more. Of course, all these papers were group efforts, but Sergey's name comes up astonishingly frequently! And even beyond the research that have come from his lab in the last few years, the co-evolution work he did during his PhD/fellowship also laid some of the groundwork for the original Alphafold paper, being cited twice in it. This is a two hour conversation with him, asking every question I could think of. We talk about his own journey into biology research, an issue he has with Alphafold3, what Alphafold4-and-beyond models may look like, what research he’d want to spend a hundred million dollars on, and lots more. Topics/institutions we discuss: Arc Institute's Evo models, Hannah Wayment-Steele's work, Isomorphic Labs's AF2/AF3, and EvolutionaryScale's ESM models Also, extremely grateful to Asimov Press (Asimov Press) for helping fund the travel + studio time required for this episode! They are a non-profit publisher dedicated to thoughtful writing on biology and metascience, such as articles over synthetic blood and interviews with plant geneticists. I myself have published within them twice! I highly recommend checking out their essays at or reaching out to [email protected] if you’re interested in contributing. Timestamps: [00:00:00] Highlight clips [00:01:10] Introduction + Sergey's background and how he got into the field [00:18:14] Is conservation all you need? [00:23:26] Ambiguous vs non-ambiguous regions in proteins [00:24:59] What will AlphaFold 4/5/6 look like? [00:36:19] Diffusion vs. inversion for protein design [00:44:52] A problem with Alphafold3 [00:53:41] MSA vs. single sequence models [01:06:52] How Sergey picks research problems [01:21:06] What are DNA models like Evo learning? [01:29:11] The problem with train/test splits in biology [01:49:07] What Sergey would do with $100 million

owl

89,083 görüntüleme • 1 yıl önce

If you are on psychiatric drugs, or know someone who is (and let’s face it, we all do) then you will want to watch this. Laura Delano is a living, cautionary tale. Her story provides a roadmap for those in need. Teaching that lesson has become her life’s work. Timestamps for "Prescription for Insanity: Laura Delano on DarkHorse:" 00:00:00 Welcome Laura Delano to DarkHorse 00:01:47 Sponsor: Jolie Skin Co - The World's Best Shower Filter 00:03:39 The Impact of Diagnosis and Medication 00:09:50 Sponsor: VanMan - Organic skincare products and tooth powder! 00:11:59 The Evolutionary Perspective on the Need for Chemical Intervention 00:20:15 Informed Choice, Not Anti-psychiatry 00:26:14 Understanding Mental Distress in Society 00:36:56 The Impact of External Influences 00:40:26 Parents and Their Struggles 00:43:33 Laura’s Descent into Psychiatric Treatment 00:59:19 Facing the Reality of Mental Health Treatment 01:06:30 Systems of Control 01:14:17 Coming Off Psychiatric Drugs 01:48:42 The Science of Tapering Off Psychiatric Medications 01:57:47 Navigating the Tapering Process 02:01:13 Understanding Drug Efficacy and Safety 02: 23:24 Building Healthy Relationships Post-Pharmaceuticals 02:34:37 Closing: Unshrunk & Laura’s Contacts

If you are on psychiatric drugs, or know someone who is (and let’s face it, we all do) then you will want to watch this. Laura Delano is a living, cautionary tale. Her story provides a roadmap for those in need. Teaching that lesson has become her life’s work. Timestamps for "Prescription for Insanity: Laura Delano on DarkHorse:" 00:00:00 Welcome Laura Delano to DarkHorse 00:01:47 Sponsor: Jolie Skin Co - The World's Best Shower Filter 00:03:39 The Impact of Diagnosis and Medication 00:09:50 Sponsor: VanMan - Organic skincare products and tooth powder! 00:11:59 The Evolutionary Perspective on the Need for Chemical Intervention 00:20:15 Informed Choice, Not Anti-psychiatry 00:26:14 Understanding Mental Distress in Society 00:36:56 The Impact of External Influences 00:40:26 Parents and Their Struggles 00:43:33 Laura’s Descent into Psychiatric Treatment 00:59:19 Facing the Reality of Mental Health Treatment 01:06:30 Systems of Control 01:14:17 Coming Off Psychiatric Drugs 01:48:42 The Science of Tapering Off Psychiatric Medications 01:57:47 Navigating the Tapering Process 02:01:13 Understanding Drug Efficacy and Safety 02: 23:24 Building Healthy Relationships Post-Pharmaceuticals 02:34:37 Closing: Unshrunk & Laura’s Contacts

Bret Weinstein

169,609 görüntüleme • 1 yıl önce

It’s been almost a year since Samantha Steele Ponder was abruptly fired by ESPN. Since then, she has been in a self-described hibernation…until now. This is not an interview, it’s a conversation. It’s Sam’s story. Her story of why she believes she was fired, how that awful moment prompted endless self-reflection…changing her life in the most beautiful ways. Being fired helped her marriage, helped her relationship with her kids, changed her perspective on so much, and strengthened her beliefs in many other ways. (00:02:18) – How Sam Got Fired From ESPN (00:14:22) – Men in Women’s Sports (00:19:17) – What Money & Fame Does to You (00:28:17) – Being Disciplined by God (00:34:28) – Our Friendship (00:43:01) – Being a Woman in Sports (00:50:19) – Life at ESPN (00:59:15) – Life After TV (01:08:33) – The Stressful Reality of Live TV (01:23:09) – Hearing the Voice of God (01:46:06) – Sam’s Message to the People

It’s been almost a year since Samantha Steele Ponder was abruptly fired by ESPN. Since then, she has been in a self-described hibernation…until now. This is not an interview, it’s a conversation. It’s Sam’s story. Her story of why she believes she was fired, how that awful moment prompted endless self-reflection…changing her life in the most beautiful ways. Being fired helped her marriage, helped her relationship with her kids, changed her perspective on so much, and strengthened her beliefs in many other ways. (00:02:18) – How Sam Got Fired From ESPN (00:14:22) – Men in Women’s Sports (00:19:17) – What Money & Fame Does to You (00:28:17) – Being Disciplined by God (00:34:28) – Our Friendship (00:43:01) – Being a Woman in Sports (00:50:19) – Life at ESPN (00:59:15) – Life After TV (01:08:33) – The Stressful Reality of Live TV (01:23:09) – Hearing the Voice of God (01:46:06) – Sam’s Message to the People

Sage Steele

355,658 görüntüleme • 1 yıl önce

"You just can't build a slow, expensive blockchain anymore." Solana founder toly 🇺🇸 built a $47 billion network from an idea he couldn't sleep on. Two coffees and a beer at Cafe du Soleil in 2017, and he was up until 4 a.m., figuring out how to use proof of work to measure time. His parents escaped the USSR in the 90s with $50 to their name and landed in Chicago in their 40s. His mom was a pianist. His dad was a civil engineer who took blue-collar roofing jobs while getting his electrician certificates. His son did the circuit analysis homework for him. That 4 a.m. idea became proof of history, the core mechanism behind Solana. In this episode: 00:00:00 Trailer 00:01:06 Intro 00:01:17 Growing up in the Soviet Union 00:04:02 Immigrating to the United States 00:07:34 Career dreams and studying computer science 00:09:47 First startup and early lessons 00:11:19 13 years at Qualcomm 00:22:32 Meeting Raj and founding Solana 00:26:44 Fundraising and early investors 00:28:41 Surviving the FTX collapse 00:40:19 Solana's mission and impact 00:43:54 Using AI to run side projects 00:49:39 Hardest decisions as a leader 00:52:51 Outlook on crypto and Solana's future 00:59:22 Twitter, being public, and politics 01:05:52 Beliefs on human nature and life philosophy 01:09:34 Outro Full episode:

"You just can't build a slow, expensive blockchain anymore." Solana founder toly 🇺🇸 built a $47 billion network from an idea he couldn't sleep on. Two coffees and a beer at Cafe du Soleil in 2017, and he was up until 4 a.m., figuring out how to use proof of work to measure time. His parents escaped the USSR in the 90s with $50 to their name and landed in Chicago in their 40s. His mom was a pianist. His dad was a civil engineer who took blue-collar roofing jobs while getting his electrician certificates. His son did the circuit analysis homework for him. That 4 a.m. idea became proof of history, the core mechanism behind Solana. In this episode: 00:00:00 Trailer 00:01:06 Intro 00:01:17 Growing up in the Soviet Union 00:04:02 Immigrating to the United States 00:07:34 Career dreams and studying computer science 00:09:47 First startup and early lessons 00:11:19 13 years at Qualcomm 00:22:32 Meeting Raj and founding Solana 00:26:44 Fundraising and early investors 00:28:41 Surviving the FTX collapse 00:40:19 Solana's mission and impact 00:43:54 Using AI to run side projects 00:49:39 Hardest decisions as a leader 00:52:51 Outlook on crypto and Solana's future 00:59:22 Twitter, being public, and politics 01:05:52 Beliefs on human nature and life philosophy 01:09:34 Outro Full episode:

luba yudasina

256,492 görüntüleme • 18 gün önce

Economics of AGI episode w Alex Imas and Phil Trammell. There's a bunch of important questions about how we deal with AI that only economics can answer. What is the optimal way to tax and redistribute the wealth that will be generated? How should countries not in the AI supply chain index into the gains? Is there any world where inequality doesn't explode? It might seem like these questions have obvious answers, but the first thing economics teaches you is that your intuitions can often be entirely wrong. It was very helpful to chat through these things with Alex and Phil. Look up Dwarkesh Podcast on Apple Podcasts, YouTube, or Spotify. Enjoy! 00:00:00 – Will capital share increase? 00:19:36 – Messy Middle scenario 00:25:57 – How to tax and redistribute AI wealth 00:30:02 – Why demand collapse is unlikely 00:39:26 – Human employees would be hard to integrate into the machine economy 00:43:08 – What if some humans (or AIs) value wealth accumulation intrinsically? 01:01:28 – What should developing countries do?

Economics of AGI episode w Alex Imas and Phil Trammell. There's a bunch of important questions about how we deal with AI that only economics can answer. What is the optimal way to tax and redistribute the wealth that will be generated? How should countries not in the AI supply chain index into the gains? Is there any world where inequality doesn't explode? It might seem like these questions have obvious answers, but the first thing economics teaches you is that your intuitions can often be entirely wrong. It was very helpful to chat through these things with Alex and Phil. Look up Dwarkesh Podcast on Apple Podcasts, YouTube, or Spotify. Enjoy! 00:00:00 – Will capital share increase? 00:19:36 – Messy Middle scenario 00:25:57 – How to tax and redistribute AI wealth 00:30:02 – Why demand collapse is unlikely 00:39:26 – Human employees would be hard to integrate into the machine economy 00:43:08 – What if some humans (or AIs) value wealth accumulation intrinsically? 01:01:28 – What should developing countries do?

Dwarkesh Patel

300,724 görüntüleme • 1 ay önce

Xavier Leroy (creator of OCaml) is an expert in compilers, formal verification of software and functional programming. This interview should be an approachable resource if you're curious about formal verification of software since I was learning that on the fly during it. In this episode: • OCaml compared with Rust and JavaScript • What is formal verification and how does it work • How languages call each other across boundaries • How to address "almost-correct" LLM code • How type inference works in programming languages Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 - Intro 00:43 - What sets OCaml apart 04:39 - OCaml vs Rust 07:57 - Why is manual memory management more performant 11:21 - Javascript vs OCaml 14:00 - Famous Rob Pike quote 16:05 - Type inference and how it works 22:12 - What is formal verification and how does it work 40:07 - What made multicore support difficult for OCaml 50:17 - How programming languages interface and call each other 57:41 - The danger of almost-correct LLM code 01:05:39 - How LLMs will change programming languages 01:10:26 - Industry vs academia 01:15:05 - Most interesting unsolved problems 01:18:30 - Top book recommendations for engineers 01:21:17 - Advice for his younger self 01:23:31 - Outro

Xavier Leroy (creator of OCaml) is an expert in compilers, formal verification of software and functional programming. This interview should be an approachable resource if you're curious about formal verification of software since I was learning that on the fly during it. In this episode: • OCaml compared with Rust and JavaScript • What is formal verification and how does it work • How languages call each other across boundaries • How to address "almost-correct" LLM code • How type inference works in programming languages Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 - Intro 00:43 - What sets OCaml apart 04:39 - OCaml vs Rust 07:57 - Why is manual memory management more performant 11:21 - Javascript vs OCaml 14:00 - Famous Rob Pike quote 16:05 - Type inference and how it works 22:12 - What is formal verification and how does it work 40:07 - What made multicore support difficult for OCaml 50:17 - How programming languages interface and call each other 57:41 - The danger of almost-correct LLM code 01:05:39 - How LLMs will change programming languages 01:10:26 - Industry vs academia 01:15:05 - Most interesting unsolved problems 01:18:30 - Top book recommendations for engineers 01:21:17 - Advice for his younger self 01:23:31 - Outro

Ryan Peterman

23,082 görüntüleme • 7 gün önce

Bret Weinstein speaks with Sonia Elijah on the subject of her book, 3/11: Viral Takeover, covering the Covid pandemic. In this episode Bret Weinstein asks Sonia Elijah, investigative journalist, what she sees as parallel between 9/11 and 3/11. "Yes. Essentially, what I see as a parallel is that you have a major disruptive event that leads to—obviously—fear, understandably. But out of that fear, you have massively expanded powers of the state. And it’s sort of this recurring pattern that I see. So I see 3/11, which is March 11th, 2020. That is the day the World Health Organization declared COVID to be a pandemic. I see it as a biological sequel to 9/11." 00:00:00 3/11: The Biological Sequel 00:04:08 The Blueprint for Mass Compliance 00:07:41 Sponsor: Sundays for Dogs 00:09:32 Sponsor: Sundries Farm 00:12:26 Event 201: Drill or Foreknowledge? 00:17:24 SARS-CoV-2’s American Origins? 00:25:23 HIV Inserts & Fauci’s Emails 00:28:17 Sponsor: Xlear 00:30:36 The Papers That Buried the Lab Leak 00:36:25 How Lockdowns Were Sold 00:43:15 Digital IDs and the Censorship State 00:50:53 The Emergency That Unleashed mRNA 00:59:02 Why Early Treatments Had to Fail 01:09:20 PCR Tests and Manufactured Fear 01:20:18 Where Are We Now? 01:33:26 Where to Find Sonia Elijah’s Book

Bret Weinstein speaks with Sonia Elijah on the subject of her book, 3/11: Viral Takeover, covering the Covid pandemic. In this episode Bret Weinstein asks Sonia Elijah, investigative journalist, what she sees as parallel between 9/11 and 3/11. "Yes. Essentially, what I see as a parallel is that you have a major disruptive event that leads to—obviously—fear, understandably. But out of that fear, you have massively expanded powers of the state. And it’s sort of this recurring pattern that I see. So I see 3/11, which is March 11th, 2020. That is the day the World Health Organization declared COVID to be a pandemic. I see it as a biological sequel to 9/11." 00:00:00 3/11: The Biological Sequel 00:04:08 The Blueprint for Mass Compliance 00:07:41 Sponsor: Sundays for Dogs 00:09:32 Sponsor: Sundries Farm 00:12:26 Event 201: Drill or Foreknowledge? 00:17:24 SARS-CoV-2’s American Origins? 00:25:23 HIV Inserts & Fauci’s Emails 00:28:17 Sponsor: Xlear 00:30:36 The Papers That Buried the Lab Leak 00:36:25 How Lockdowns Were Sold 00:43:15 Digital IDs and the Censorship State 00:50:53 The Emergency That Unleashed mRNA 00:59:02 Why Early Treatments Had to Fail 01:09:20 PCR Tests and Manufactured Fear 01:20:18 Where Are We Now? 01:33:26 Where to Find Sonia Elijah’s Book

The DarkHorse Podcast

18,091 görüntüleme • 15 gün önce

America. We have a new steel company - Hertha Metals It uses electricity instead of coal to make steel. It was founded by Laureen Meroueh, who is something of a child prodigy. The US could very much use this technology at the moment. We dig into why here on the pod The Core Memory pod, which the NYT will eventually hail as the smartest podcast on Earth, and its big ideas are brought to you by the big idea people Brex. The show is also made possible by the big idea backers @e1ventures Come for the ore, stay to learn about Hertha Ayrton Full episode here, wherever you like to get pods and on YouTube down below Timestamps 00:00:00 Intro 00:04:43 Starting College at Age 13 00:09:15 Reinventing the Steel Industry 00:12:54 From Battery Tech to Steel 00:19:28 How Traditional Blast Furnaces Work 00:22:40 Eliminating Coal for Natural Gas 00:28:15 Cutting Costs and Carbon 00:32:01 Proving the Technology Scales 00:35:22 The US Steel Supply Crisis 00:40:31 Protecting the Secret Formula 00:43:49 Solving the Rare Earth Shortage 00:46:28 Timeline to Commercial Production 00:52:53 Surviving the Valley of Death 00:55:48 Why Build in Houston? 01:01:12 A Woman in Heavy Industry 01:06:10 Inside the Steel Foundry 01:14:47 Reindustrializing the United States 01:36:22 The Story Behind the Name

America. We have a new steel company - Hertha Metals It uses electricity instead of coal to make steel. It was founded by Laureen Meroueh, who is something of a child prodigy. The US could very much use this technology at the moment. We dig into why here on the pod The Core Memory pod, which the NYT will eventually hail as the smartest podcast on Earth, and its big ideas are brought to you by the big idea people Brex. The show is also made possible by the big idea backers @e1ventures Come for the ore, stay to learn about Hertha Ayrton Full episode here, wherever you like to get pods and on YouTube down below Timestamps 00:00:00 Intro 00:04:43 Starting College at Age 13 00:09:15 Reinventing the Steel Industry 00:12:54 From Battery Tech to Steel 00:19:28 How Traditional Blast Furnaces Work 00:22:40 Eliminating Coal for Natural Gas 00:28:15 Cutting Costs and Carbon 00:32:01 Proving the Technology Scales 00:35:22 The US Steel Supply Crisis 00:40:31 Protecting the Secret Formula 00:43:49 Solving the Rare Earth Shortage 00:46:28 Timeline to Commercial Production 00:52:53 Surviving the Valley of Death 00:55:48 Why Build in Houston? 01:01:12 A Woman in Heavy Industry 01:06:10 Inside the Steel Foundry 01:14:47 Reindustrializing the United States 01:36:22 The Story Behind the Name

Ashlee Vance

39,700 görüntüleme • 7 ay önce

Allie Beth Stuckey has never been afraid to speak truth in a world that often rewards silence. In this conversation, we talked about faith, conviction, and what it means to stand firm when culture pushes you to conform. Allie opened up about her journey into broadcasting, how motherhood reshaped her worldview, and why she believes women today are desperate for truth, not validation. We also talked about the cost of conviction, how to disagree without dehumanizing, and why faith must come before fear, especially in media and leadership. We discussed the state of Christianity in America, the pressure many young people face to compromise, and how social media has changed the way we share and live out our beliefs. Allie’s perspective is strong but full of grace, rooted in both intellect and compassion. This conversation was about more than faith or influence. It was about courage, clarity, and holding fast to what is true even when it is unpopular. Chapters: 0:00:00 - Intro 00:03:02: Allie Beth’s Personal Life 00:15:25: Allie Beth’s Thoughts on Marriage 00:21:20: Advice to Young Women on Finding the Right Partner 00:27:10: Lessons from Allie Beth’s Life 00:32:44: Dealing with Shame 00:41:32: Are Eating Disorders Considered Sinful? 00:46:16: Differences Between Southern Baptist, Reformed Christian, and Catholicism 00:52:19: Faith 01:12:45: Allie Beth’s Best Quotes 01:13:08: “It’s Easy to Be a Progressive” 01:14:16: “The Last Thing a Woman Wants Is to Be Excluded” 01:15:34: “I Am for the Death Penalty for the Same Reason I Am Against Abortion. I Value Innocent Life.” 01:19:19: “Your Daughters Should Not Be Listening to Taylor Swift. She Is Not a Role Model.” 01:26:24: How Allie Beth Manages Friendships That Disagree with the Bible 01:30:22: How Allie Beth Balances Sharing God’s Word Without Sounding Judgmental 01:32:56: Dealing with the Loss of Charlie Kirk BTS on Patreon:

Allie Beth Stuckey has never been afraid to speak truth in a world that often rewards silence. In this conversation, we talked about faith, conviction, and what it means to stand firm when culture pushes you to conform. Allie opened up about her journey into broadcasting, how motherhood reshaped her worldview, and why she believes women today are desperate for truth, not validation. We also talked about the cost of conviction, how to disagree without dehumanizing, and why faith must come before fear, especially in media and leadership. We discussed the state of Christianity in America, the pressure many young people face to compromise, and how social media has changed the way we share and live out our beliefs. Allie’s perspective is strong but full of grace, rooted in both intellect and compassion. This conversation was about more than faith or influence. It was about courage, clarity, and holding fast to what is true even when it is unpopular. Chapters: 0:00:00 - Intro 00:03:02: Allie Beth’s Personal Life 00:15:25: Allie Beth’s Thoughts on Marriage 00:21:20: Advice to Young Women on Finding the Right Partner 00:27:10: Lessons from Allie Beth’s Life 00:32:44: Dealing with Shame 00:41:32: Are Eating Disorders Considered Sinful? 00:46:16: Differences Between Southern Baptist, Reformed Christian, and Catholicism 00:52:19: Faith 01:12:45: Allie Beth’s Best Quotes 01:13:08: “It’s Easy to Be a Progressive” 01:14:16: “The Last Thing a Woman Wants Is to Be Excluded” 01:15:34: “I Am for the Death Penalty for the Same Reason I Am Against Abortion. I Value Innocent Life.” 01:19:19: “Your Daughters Should Not Be Listening to Taylor Swift. She Is Not a Role Model.” 01:26:24: How Allie Beth Manages Friendships That Disagree with the Bible 01:30:22: How Allie Beth Balances Sharing God’s Word Without Sounding Judgmental 01:32:56: Dealing with the Loss of Charlie Kirk BTS on Patreon:

Sage Steele

46,033 görüntüleme • 9 ay önce