Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Polygenics and Machine SuperIntelligence; Billionaires, Philo-semitism, and Chosen Embryos – Manifold #102 This is a two-part episode. The first ~30m covers the most important 2025 breakthroughs in polygenic embryo screening, while the second 30m focuses specifically on AI capabilities at the frontier of human knowledge. Both segments make predictions...

hsu_steve's profile picture

steve hsu

42,531 subscribers

25,595 görüntüleme • 9 ay önce •via X (Twitter)

EğitimSağlık & İyilikBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Embryo Selection and Frontier Genomics with Dr. Alex Young – Manifold #111 Dr. Alex Young, a statistical geneticist and assistant professor in the Human Genetics department at UCLA, joins Steve Hsu to discuss the cutting edge of genomic prediction. They cover his research on polygenic embryo screening in IVF (including the ImputePGTA method), family-based DNA analysis, missing heritability, and the implications of polygenic scores for traits like education and disease. Alex also discusses his recent battles with cancer. Alex Strudwick Young Chapter Markers: (00:00) - Alex Young Bio (06:36) - Biobank Era Genetics (10:49) - Missing Heritability Debate (27:18) - Embryo Selection Controversy (50:32) - Embryo Selection Backlash (53:42) - Mexico City Admixture Study (01:00:13) - Censorship Via Data Access Control (01:05:02) - Battle With Cancer and Circulating Tumor DNA (ctDNA)
2:09

Embryo Selection and Frontier Genomics with Dr. Alex Young – Manifold #111 Dr. Alex Young, a statistical geneticist and assistant professor in the Human Genetics department at UCLA, joins Steve Hsu to discuss the cutting edge of genomic prediction. They cover his research on polygenic embryo screening in IVF (including the ImputePGTA method), family-based DNA analysis, missing heritability, and the implications of polygenic scores for traits like education and disease. Alex also discusses his recent battles with cancer. Alex Strudwick Young Chapter Markers: (00:00) - Alex Young Bio (06:36) - Biobank Era Genetics (10:49) - Missing Heritability Debate (27:18) - Embryo Selection Controversy (50:32) - Embryo Selection Backlash (53:42) - Mexico City Admixture Study (01:00:13) - Censorship Via Data Access Control (01:05:02) - Battle With Cancer and Circulating Tumor DNA (ctDNA)

steve hsu

19,551 görüntüleme • 5 ay önce

Dr. Fei-Fei Li (Fei-Fei Li), the Godmother of AI, on the origin of computer vision and why spatial intelligence is the next frontier. At AI Startup School in San Francisco. 01:00 - Origins of ImageNet 02:15 - The Dream to Make Machines See 03:28 - A paradigm shift in AI 05:50 - AlexNet and Deep Learning 08:00 - Evolving Computer Vision 12:20 - Building World Labs 13:00 - The next frontier in AI 14:20 - Why Spatial Intelligence Is Harder Than Language 18:40 - Technical Barriers for Vision-Based AI 20:00 - AI is more than LLMs 25:50 - Fei Fei’s Journey 29:30 - Mentoring some of the legends of AI 33:00 - Audience Q&A
44:21

Dr. Fei-Fei Li (Fei-Fei Li), the Godmother of AI, on the origin of computer vision and why spatial intelligence is the next frontier. At AI Startup School in San Francisco. 01:00 - Origins of ImageNet 02:15 - The Dream to Make Machines See 03:28 - A paradigm shift in AI 05:50 - AlexNet and Deep Learning 08:00 - Evolving Computer Vision 12:20 - Building World Labs 13:00 - The next frontier in AI 14:20 - Why Spatial Intelligence Is Harder Than Language 18:40 - Technical Barriers for Vision-Based AI 20:00 - AI is more than LLMs 25:50 - Fei Fei’s Journey 29:30 - Mentoring some of the legends of AI 33:00 - Audience Q&A

Y Combinator

194,784 görüntüleme • 1 yıl önce

Anthropic co-founder Jared Kaplan on scaling and the road to human-level AI. At AI Startup School in San Francisco. 00:17 - From Physics to AI 01:41 - Initial Skepticism and Shift to AI 02:12 - AI Training Phases 02:32 - Pre-Training 03:16 - Reinforcement Learning 04:19 - Scaling Laws in Training 08:19 - Unlocking AI Capabilities 11:27 - Organizational Knowledge and Memory 12:19 - Oversight and Nuanced Tasks 13:38 - Preparing for the Future 15:48 - Claude 4 and Beyond 21:18 - Human-AI Collaboration 29:50 - Scaling Laws and Compute Efficiency 35:26 - Audience Q&A
40:47

Anthropic co-founder Jared Kaplan on scaling and the road to human-level AI. At AI Startup School in San Francisco. 00:17 - From Physics to AI 01:41 - Initial Skepticism and Shift to AI 02:12 - AI Training Phases 02:32 - Pre-Training 03:16 - Reinforcement Learning 04:19 - Scaling Laws in Training 08:19 - Unlocking AI Capabilities 11:27 - Organizational Knowledge and Memory 12:19 - Oversight and Nuanced Tasks 13:38 - Preparing for the Future 15:48 - Claude 4 and Beyond 21:18 - Human-AI Collaboration 29:50 - Scaling Laws and Compute Efficiency 35:26 - Audience Q&A

Y Combinator

116,444 görüntüleme • 1 yıl önce

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History
1:04:51

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 görüntüleme • 1 yıl önce

🎓 Why can’t rational people just agree to disagree? In this episode, Steven Pinker unpacks how common knowledge shapes truth, trust, and the invisible rules holding civilization together—from markets and morality to AI and belief itself. Timestamp: 00:00 Intro 00:58 When common knowledge is wrong 02:37 The role of common knowledge in social coordination 08:48 Free will and determinism 14:48 Judging a book by its cover 21:08 Government suppression and common knowledge 30:08 The agree to disagree theorem 34:54 Generosity and charity in human affairs 41:12 The role of common knowledge in religious beliefs 48:31 LLMs and common knowledge 50:39 Outro
50:59

🎓 Why can’t rational people just agree to disagree? In this episode, Steven Pinker unpacks how common knowledge shapes truth, trust, and the invisible rules holding civilization together—from markets and morality to AI and belief itself. Timestamp: 00:00 Intro 00:58 When common knowledge is wrong 02:37 The role of common knowledge in social coordination 08:48 Free will and determinism 14:48 Judging a book by its cover 21:08 Government suppression and common knowledge 30:08 The agree to disagree theorem 34:54 Generosity and charity in human affairs 41:12 The role of common knowledge in religious beliefs 48:31 LLMs and common knowledge 50:39 Outro

INTO THE IMPOSSIBLE Podcast

14,328 görüntüleme • 1 yıl 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

280,191 görüntüleme • 1 yıl önce

Healthcare is off to a wild start in 2026. On the a16z pod, I riffed with America's favorite healthcare comedian, Nikhil Krishnan of Out-Of-Pocket, to explore what else will happen: - AI doctors going mainstream - People opting out of health insurance entirely - Weight-loss drug usage doubling - Peptide parties proliferating - Healthcare labor crisis cascading - and more... Was fun to question some assumptions underlying our healthcare system and debate how to build a better one w/ Nikhil Krishnan. 00:00 Introduction 02:15 Healthcare Predictions for 2026 08:00 Taking Healthcare In Your Own Hands 26:59 Explosion of Self Monitoring 31:38 Our Desire for Agency in Healthcare 34:42 AI "Doctors" Everywhere 41:43 Clashing Regulations, IP Battles, and Populism 46:42 How will we know AI is working in Healthcare? 57:15 AI Impact on Healthcare Jobs 01:05:39 The Human vs. AI Debate in Healthcare 01:08:52 Weight Loss Drug Ubiquity 01:17:03 The Gray Market of Peptides 01:29:23 Should We Spend More on Healthcare? 01:34:29 Content Diets in the Age of AI Slop
1:37:06

Healthcare is off to a wild start in 2026. On the a16z pod, I riffed with America's favorite healthcare comedian, Nikhil Krishnan of Out-Of-Pocket, to explore what else will happen: - AI doctors going mainstream - People opting out of health insurance entirely - Weight-loss drug usage doubling - Peptide parties proliferating - Healthcare labor crisis cascading - and more... Was fun to question some assumptions underlying our healthcare system and debate how to build a better one w/ Nikhil Krishnan. 00:00 Introduction 02:15 Healthcare Predictions for 2026 08:00 Taking Healthcare In Your Own Hands 26:59 Explosion of Self Monitoring 31:38 Our Desire for Agency in Healthcare 34:42 AI "Doctors" Everywhere 41:43 Clashing Regulations, IP Battles, and Populism 46:42 How will we know AI is working in Healthcare? 57:15 AI Impact on Healthcare Jobs 01:05:39 The Human vs. AI Debate in Healthcare 01:08:52 Weight Loss Drug Ubiquity 01:17:03 The Gray Market of Peptides 01:29:23 Should We Spend More on Healthcare? 01:34:29 Content Diets in the Age of AI Slop

Jay Rughani

61,558 görüntüleme • 8 ay önce

This week on Complex Systems, Cate Hall and I talk about agency, cultivating it in oneself, environments/orgs which seem to suppress or encourage it. Also a bit about walking roads less travelled. 00:00 Intro 02:38 Exploring the concept of agency 03:08 Selection effects in different fields 03:45 The changing demographics in tech and startups 06:52 The rise of systematization in poker and startups 17:27 The role of mental habits in developing agency 22:25 The value of feedback and continuous improvement 25:33 The power of admitting ignorance 27:29 Growth mindset and personal improvement 28:18 Using AI for creative pursuits 31:25 The value of human interaction 34:22 The unique traits of professional gamblers 39:40 Understanding and developing agency 43:41 Triggers for increased agency 51:02 Wrap
52:16

This week on Complex Systems, Cate Hall and I talk about agency, cultivating it in oneself, environments/orgs which seem to suppress or encourage it. Also a bit about walking roads less travelled. 00:00 Intro 02:38 Exploring the concept of agency 03:08 Selection effects in different fields 03:45 The changing demographics in tech and startups 06:52 The rise of systematization in poker and startups 17:27 The role of mental habits in developing agency 22:25 The value of feedback and continuous improvement 25:33 The power of admitting ignorance 27:29 Growth mindset and personal improvement 28:18 Using AI for creative pursuits 31:25 The value of human interaction 34:22 The unique traits of professional gamblers 39:40 Understanding and developing agency 43:41 Triggers for increased agency 51:02 Wrap

Patrick McKenzie

33,081 görüntüleme • 1 yıl önce

Judea Pearl (Judea Pearl) is a Turing Award winner famous for his contributions to artificial intelligence and causal reasoning. We talked about the greatest scientist of all time, his major breakthroughs and his predictions for AI today. Full conversation also on my YouTube, Spotify, and Apple Podcasts. Timestamps: 00:00 Intro 00:54 How he got into AI 11:17 Greatest scientist of all time 20:15 What people thought of AI in the 80s 26:23 Entering academia and researching AI 34:52 The invention of Bayesian networks 46:28 Pioneering work in causality 55:38 The causal hierarchy 59:34 LLMs and predictions 01:20:12 A restless mind pays 01:24:36 Advice for his younger self 01:26:37 Outro
1:27:33

Judea Pearl (Judea Pearl) is a Turing Award winner famous for his contributions to artificial intelligence and causal reasoning. We talked about the greatest scientist of all time, his major breakthroughs and his predictions for AI today. Full conversation also on my YouTube, Spotify, and Apple Podcasts. Timestamps: 00:00 Intro 00:54 How he got into AI 11:17 Greatest scientist of all time 20:15 What people thought of AI in the 80s 26:23 Entering academia and researching AI 34:52 The invention of Bayesian networks 46:28 Pioneering work in causality 55:38 The causal hierarchy 59:34 LLMs and predictions 01:20:12 A restless mind pays 01:24:36 Advice for his younger self 01:26:37 Outro

Ryan Peterman

11,629 görüntüleme • 2 ay önce

Today, we're joined by Yejin Choi, professor and senior fellow at Stanford University University in the Computer Science Department and Stanford UniversityHAI. In this conversation, we explore Yejin’s recent work on making small language models reason more effectively. We discuss how high-quality, diverse data plays a central role in closing the intelligence gap between small and large models, and how combining synthetic data generation, imitation learning, and reinforcement learning can unlock stronger reasoning capabilities in smaller models. Yejin explains the risks of homogeneity in model outputs and mode collapse highlighted in her “Artificial Hivemind” paper, and its impacts on human creativity and knowledge. We also discuss her team's novel approaches, including reinforcement learning as a pre-training objective, where models are incentivized to “think” before predicting the next token, and "Prismatic Synthesis," a gradient-based method for generating diverse synthetic math data while filtering overrepresented examples. Additionally, we cover the societal implications of AI and the concept of pluralistic alignment—ensuring AI reflects the diverse norms and values of humanity. Finally, Yejin shares her mission to democratize AI beyond large organizations and offers her predictions for the coming year. 🗒️ For the full list of resources for this episode, visit the show notes page: 📖 CHAPTERS =============================== 00:00 - Introduction 04:44 - "Snowball effect" in AI investments 06:58 - Approaches to smaller models 08:58 - Importance of “better data” 14:07 - Imitation learning 18:24 - Artificial Hivemind paper 25:25 - AI risks 27:50 - Spectrum tuning 28:53 - Future of AI on humanity 33:08 - Reasoning in small models 34:58 - Prismatic Synthesis 48:20 - Reinforcement as a Pretraining Objective 55:04 - Pluralistic alignment 1:03:30 - Predictions
1:05:51

Today, we're joined by Yejin Choi, professor and senior fellow at Stanford University University in the Computer Science Department and Stanford UniversityHAI. In this conversation, we explore Yejin’s recent work on making small language models reason more effectively. We discuss how high-quality, diverse data plays a central role in closing the intelligence gap between small and large models, and how combining synthetic data generation, imitation learning, and reinforcement learning can unlock stronger reasoning capabilities in smaller models. Yejin explains the risks of homogeneity in model outputs and mode collapse highlighted in her “Artificial Hivemind” paper, and its impacts on human creativity and knowledge. We also discuss her team's novel approaches, including reinforcement learning as a pre-training objective, where models are incentivized to “think” before predicting the next token, and "Prismatic Synthesis," a gradient-based method for generating diverse synthetic math data while filtering overrepresented examples. Additionally, we cover the societal implications of AI and the concept of pluralistic alignment—ensuring AI reflects the diverse norms and values of humanity. Finally, Yejin shares her mission to democratize AI beyond large organizations and offers her predictions for the coming year. 🗒️ For the full list of resources for this episode, visit the show notes page: 📖 CHAPTERS =============================== 00:00 - Introduction 04:44 - "Snowball effect" in AI investments 06:58 - Approaches to smaller models 08:58 - Importance of “better data” 14:07 - Imitation learning 18:24 - Artificial Hivemind paper 25:25 - AI risks 27:50 - Spectrum tuning 28:53 - Future of AI on humanity 33:08 - Reasoning in small models 34:58 - Prismatic Synthesis 48:20 - Reinforcement as a Pretraining Objective 55:04 - Pluralistic alignment 1:03:30 - Predictions

The TWIML AI Podcast

12,141 görüntüleme • 8 ay önce

Blocksmart is back with a new episode featuring bestselling author and public intellectual Steven Pinker. How does common knowledge shape society, money, and blockchains? And what can AI teach us about the human brain? We dive into it all in the second episode of Blocksmart 👇 0:00 - Intro: Steve Pinker 0:49 - Common knowledge 5:57 - Blockchain & social consensus 9:40 - Blockchain’s social innovations 12:27 - Making blockchain common knowledge 15:13 - Making science popular 21:46 - AI, LLMs & the human brain 28:25 - Quick-fire 31:25 - Parting thoughts
33:21

Blocksmart is back with a new episode featuring bestselling author and public intellectual Steven Pinker. How does common knowledge shape society, money, and blockchains? And what can AI teach us about the human brain? We dive into it all in the second episode of Blocksmart 👇 0:00 - Intro: Steve Pinker 0:49 - Common knowledge 5:57 - Blockchain & social consensus 9:40 - Blockchain’s social innovations 12:27 - Making blockchain common knowledge 15:13 - Making science popular 21:46 - AI, LLMs & the human brain 28:25 - Quick-fire 31:25 - Parting thoughts

StarkWare 🥷

51,158 görüntüleme • 2 ay önce

Much of the AI narrative revolves around architecture research, compute scaling & buying human data. Very few understand the deep technical discipline of "data research," which has driven many of the gains in model capabilities. Vivek Gopalan sits down with Mahesh Sathiamoorthy @ COLM2026 & Alex Dimakis, founders of Bespoke Labs, a company defining the category of data research. (00:00) Introducing Mahesh and Alex (03:40) Teaching a 1000 person ML class at Berkeley / changes in CS education in the age of AI (06:10) Open source data for frontier model training, OpenThoughts & training models for data curation (12:00) Why multiple-answer yields more performant models, benefits of keeping unverifiable examples in datasets (17:20) RL scaling laws / introduction to Bespoke (19:45) "Environment-driven Development" (28:35) New capabilities in frontier models & coding agents (34:30) Market outlook for RL environments (42:30) Exciting recent research and how we arrived at today's state of RL (50:00) Bespoke's Series A
51:14

Much of the AI narrative revolves around architecture research, compute scaling & buying human data. Very few understand the deep technical discipline of "data research," which has driven many of the gains in model capabilities. Vivek Gopalan sits down with Mahesh Sathiamoorthy @ COLM2026 & Alex Dimakis, founders of Bespoke Labs, a company defining the category of data research. (00:00) Introducing Mahesh and Alex (03:40) Teaching a 1000 person ML class at Berkeley / changes in CS education in the age of AI (06:10) Open source data for frontier model training, OpenThoughts & training models for data curation (12:00) Why multiple-answer yields more performant models, benefits of keeping unverifiable examples in datasets (17:20) RL scaling laws / introduction to Bespoke (19:45) "Environment-driven Development" (28:35) New capabilities in frontier models & coding agents (34:30) Market outlook for RL environments (42:30) Exciting recent research and how we arrived at today's state of RL (50:00) Bespoke's Series A

8VC

48,451 görüntüleme • 3 ay önce

EPISODE 150: How AI Is Transforming Diligence, Decision-Making & the Future of Investing Joe Lonsdale sits down with John Melas-Kyriazi, co-founder & CEO of Standard Metrics (00:00) Episode intro (02:10) Academia to investor and founder (08:00) The pain point that led to Standard Metrics (12:10) How AI is transforming diligence, data collection & VC (14:20) AI as a technical copilot (17:10) AI analyst vs Human in the loop (19:20) Parsing pitch decks and new AI tools (23:10) How AI search is changing marketing (28:30) Powerful new capabilities and workflows (33:47) How quickly is everything changing?
34:54

EPISODE 150: How AI Is Transforming Diligence, Decision-Making & the Future of Investing Joe Lonsdale sits down with John Melas-Kyriazi, co-founder & CEO of Standard Metrics (00:00) Episode intro (02:10) Academia to investor and founder (08:00) The pain point that led to Standard Metrics (12:10) How AI is transforming diligence, data collection & VC (14:20) AI as a technical copilot (17:10) AI analyst vs Human in the loop (19:20) Parsing pitch decks and new AI tools (23:10) How AI search is changing marketing (28:30) Powerful new capabilities and workflows (33:47) How quickly is everything changing?

American Optimist

283,369 görüntüleme • 5 ay önce

Can AI cure disease & make science faster? Patrick Hsu Jorge Conde and Erik Torenberg discuss (00:45) The Moonshot: Virtual Cells and Human Biology (02:58) Interdisciplinary Collaboration at Arc Institute (05:11) The Role of AI in Biology (10:18) Understanding Virtual Cells (22:13) Biotech and Pharma Industry Insights (28:13) Capital Intensity and Technological Advancements (30:12) Market Impact and Industry Trends (33:19) Future Technological Breakthroughs (38:15) AI in Drug Discovery (45:50) Investment Focus and Future Prospects
55:38

Can AI cure disease & make science faster? Patrick Hsu Jorge Conde and Erik Torenberg discuss (00:45) The Moonshot: Virtual Cells and Human Biology (02:58) Interdisciplinary Collaboration at Arc Institute (05:11) The Role of AI in Biology (10:18) Understanding Virtual Cells (22:13) Biotech and Pharma Industry Insights (28:13) Capital Intensity and Technological Advancements (30:12) Market Impact and Industry Trends (33:19) Future Technological Breakthroughs (38:15) AI in Drug Discovery (45:50) Investment Focus and Future Prospects

a16z

53,540 görüntüleme • 1 yıl önce