Loading video...

Video Failed to Load

Go Home

Logistics is a multi-trillion-dollar industry that quietly powers the entire global economy — and it's shockingly manual. Ryan Petersen (Ryan Petersen), founder & CEO of Flexport, joins the Lightcone Podcast to break down how AI is finally touching the physical world: making shipping cheaper, speeding up global trade, and...

ycombinator's profile picture

Y Combinator

1,616,475 subscribers

152,985 views • 8 months ago •via X (Twitter)

News & PoliticsEducationScience & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Ryan Petersen on what Paul Graham told him when he stepped down as Flexport CEO Y Combinator founder Paul Graham was Flexport’s first investor. Ryan Petersen recalls telling Paul that he was hiring Amazon’s Dave Clark to replace him as CEO in 2022: “No one has ever been more disappointed in me than when I told PG that I was hiring a CEO,” Ryan remembers. Paul first asked Ryan if Flexport was his life’s work, to which he answered “Yes.” “Then why would you ever leave?” Paul asked. Ryan said he thought the new CEO would be better for the company. “That’s like saying some other guy is going to be a better husband for your wife!” PG exclaimed. “It might be true, but you don’t act on it!” Then PG offered Ryan the following advice: “If this is your life’s work, and you think he’s better than you. You need to go learn all of the things that he’s better than you at so that you can come back and do the job.” And that’s exactly what Ryan did. After a year, he returned as CEO of Flexport. Source: Kleiner Perkins (Apr 2025)
1:35

Ryan Petersen on what Paul Graham told him when he stepped down as Flexport CEO Y Combinator founder Paul Graham was Flexport’s first investor. Ryan Petersen recalls telling Paul that he was hiring Amazon’s Dave Clark to replace him as CEO in 2022: “No one has ever been more disappointed in me than when I told PG that I was hiring a CEO,” Ryan remembers. Paul first asked Ryan if Flexport was his life’s work, to which he answered “Yes.” “Then why would you ever leave?” Paul asked. Ryan said he thought the new CEO would be better for the company. “That’s like saying some other guy is going to be a better husband for your wife!” PG exclaimed. “It might be true, but you don’t act on it!” Then PG offered Ryan the following advice: “If this is your life’s work, and you think he’s better than you. You need to go learn all of the things that he’s better than you at so that you can come back and do the job.” And that’s exactly what Ryan did. After a year, he returned as CEO of Flexport. Source: Kleiner Perkins (Apr 2025)

Startup Archive

45,553 views • 1 month ago

Ryan Petersen on what Paul Graham told him when he stepped down as Flexport CEO Y Combinator founder Paul Graham was Flexport’s first investor. Ryan Petersen recalls telling Paul that he was hiring Amazon’s Dave Clark to replace him as CEO in 2022: “No one has ever been more disappointed in me than when I told PG that I was hiring a CEO,” Ryan remembers. Paul first asked Ryan if Flexport was his life’s work, to which he answered “Yes.” “Then why would you ever leave?” Paul asked. Ryan said he thought the new CEO would be better for the company. “That’s like saying some other guy is going to be a better husband for your wife!” PG exclaimed. “It might be true, but you don’t act on it!” Then PG offered Ryan the following advice: “If this is your life’s work, and you think he’s better than you. You need to go learn all of the things that he’s better than you at so that you can come back and do the job.” And that’s exactly what Ryan did. After a year, he returned as CEO of Flexport. Video source: Kleiner Perkins (2025)
1:35

Ryan Petersen on what Paul Graham told him when he stepped down as Flexport CEO Y Combinator founder Paul Graham was Flexport’s first investor. Ryan Petersen recalls telling Paul that he was hiring Amazon’s Dave Clark to replace him as CEO in 2022: “No one has ever been more disappointed in me than when I told PG that I was hiring a CEO,” Ryan remembers. Paul first asked Ryan if Flexport was his life’s work, to which he answered “Yes.” “Then why would you ever leave?” Paul asked. Ryan said he thought the new CEO would be better for the company. “That’s like saying some other guy is going to be a better husband for your wife!” PG exclaimed. “It might be true, but you don’t act on it!” Then PG offered Ryan the following advice: “If this is your life’s work, and you think he’s better than you. You need to go learn all of the things that he’s better than you at so that you can come back and do the job.” And that’s exactly what Ryan did. After a year, he returned as CEO of Flexport. Video source: Kleiner Perkins (2025)

Startup Archive

146,019 views • 1 year ago

Last week, Flexport released an AI agent that can audit bills from shippers and truckers against the actual logs to ensure its customers are invoiced correctly. The product was just an idea 3 days before. "We probably pivoted 30% to 40% of our engineers now just to building agents," founder Ryan Petersen (Ryan Petersen) says. "There's way less planning than there used to be at Flexport in the roadmap. It used to be a one year strategic plan. Now you're like, ‘Alright, let's go see if you can make this work, come back to me two days later.' And it works, because of AI.” Catch the full interview on The Upstarts Podcast: YouTube: Apple: Spotify:
1:29

Last week, Flexport released an AI agent that can audit bills from shippers and truckers against the actual logs to ensure its customers are invoiced correctly. The product was just an idea 3 days before. "We probably pivoted 30% to 40% of our engineers now just to building agents," founder Ryan Petersen (Ryan Petersen) says. "There's way less planning than there used to be at Flexport in the roadmap. It used to be a one year strategic plan. Now you're like, ‘Alright, let's go see if you can make this work, come back to me two days later.' And it works, because of AI.” Catch the full interview on The Upstarts Podcast: YouTube: Apple: Spotify:

Alex Konrad

121,951 views • 5 months ago

We asked Ryan Petersen (Founder & CEO of Flexport) how he thinks about the AI talent wars being compared to pro sports. “In sports, your team size is fixed. that drives up the price of top players. It’s the same with elite AI talent.” “The ultimate example is Tom Brady. His secret was marrying a supermodel who made so much money that he could work below market price and they could build out a great team." "Maybe the move is hiring engineers with rich spouses.”
0:54

We asked Ryan Petersen (Founder & CEO of Flexport) how he thinks about the AI talent wars being compared to pro sports. “In sports, your team size is fixed. that drives up the price of top players. It’s the same with elite AI talent.” “The ultimate example is Tom Brady. His secret was marrying a supermodel who made so much money that he could work below market price and they could build out a great team." "Maybe the move is hiring engineers with rich spouses.”

TBPN

100,152 views • 1 year ago

Netflix pays AI PMs up to $900K/year. How do you become (and succeed) as one? Marily Nika Marily Nika is an AI PM at Google, and was an AI PM at Meta. In today's episode, she breaks it down: How AI PM Roles Differ at Big Tech Companies – 06:56 How Technical an AI PM Needs to Be – 08:08 Data Handling Responsibilities for AI PMs – 13:10 How PMs Can Improve Collaboration with Researchers – 18:06 Interviewing for AI PM Roles at Big Tech Companies – 22:08 The Role of a PhD in AI Product Management – 26:03 Optimizing LinkedIn for Aspiring AI PMs – 31:55 Roadmap to Becoming an AI PM – 37:05 Transitioning into AI Product Management – 40:52 The Process of Boomeranging Back to a Company – 44:00 AI Tools Every PM Should Know – 48:08 What It’s Like to Be an AI PM at Google – 57:46 How to Develop a Strong Product Strategy – 01:01:21 The Evolution of PM Roles in the Age of AI – 01:05:11 How PMs Can Stay Relevant in an AI-Driven World – 01:08:12 Balancing a Side Business with a Full-Time Job – 01:13:42 The Process of Creating a Course – 01:17:12 LinkedIn Tips for Aspiring AI PM Creators – 01:21:21 Lessons from Product Failures – 01:25:27 Paid promotions included
1:27:33

Netflix pays AI PMs up to $900K/year. How do you become (and succeed) as one? Marily Nika Marily Nika is an AI PM at Google, and was an AI PM at Meta. In today's episode, she breaks it down: How AI PM Roles Differ at Big Tech Companies – 06:56 How Technical an AI PM Needs to Be – 08:08 Data Handling Responsibilities for AI PMs – 13:10 How PMs Can Improve Collaboration with Researchers – 18:06 Interviewing for AI PM Roles at Big Tech Companies – 22:08 The Role of a PhD in AI Product Management – 26:03 Optimizing LinkedIn for Aspiring AI PMs – 31:55 Roadmap to Becoming an AI PM – 37:05 Transitioning into AI Product Management – 40:52 The Process of Boomeranging Back to a Company – 44:00 AI Tools Every PM Should Know – 48:08 What It’s Like to Be an AI PM at Google – 57:46 How to Develop a Strong Product Strategy – 01:01:21 The Evolution of PM Roles in the Age of AI – 01:05:11 How PMs Can Stay Relevant in an AI-Driven World – 01:08:12 Balancing a Side Business with a Full-Time Job – 01:13:42 The Process of Creating a Course – 01:17:12 LinkedIn Tips for Aspiring AI PM Creators – 01:21:21 Lessons from Product Failures – 01:25:27 Paid promotions included

Aakash Gupta

42,853 views • 1 year ago

FULL INTERVIEW: Airbnb CEO Brian Chesky joins TBPN to discuss recent earnings, founder mode, the future of consumer AI, marketing, and more. 01:04 How Airbnb got its startup energy back 03:40 Founder mode and fixing one corner of the business at a time 06:14 How Chesky would disrupt Airbnb today 07:18 Why chatbots are wrong for travel 09:37 The SaaSpocalypse and AI interfaces 12:25 Why everyone is building enterprise AI 17:05 Why consumer AI hasn’t broken out yet 18:15 Why Silicon Valley keeps chasing trends 23:08 Advice for designers in the AI era 31:43 Why different marketing works best
35:18

FULL INTERVIEW: Airbnb CEO Brian Chesky joins TBPN to discuss recent earnings, founder mode, the future of consumer AI, marketing, and more. 01:04 How Airbnb got its startup energy back 03:40 Founder mode and fixing one corner of the business at a time 06:14 How Chesky would disrupt Airbnb today 07:18 Why chatbots are wrong for travel 09:37 The SaaSpocalypse and AI interfaces 12:25 Why everyone is building enterprise AI 17:05 Why consumer AI hasn’t broken out yet 18:15 Why Silicon Valley keeps chasing trends 23:08 Advice for designers in the AI era 31:43 Why different marketing works best

TBPN

15,497 views • 2 months ago

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early
54:06

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early

Y Combinator

198,105 views • 1 month ago

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang
1:35

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

a16z

81,693 views • 1 month ago

Can AI agents automate all work? What happens to white collar jobs? I sat down with Aaron Levie (Aaron Levie), Founder and CEO of to talk about agents, deploying AI, the future of white collar jobs, the future of SaaS, and so much more. 0:00 Intro 1:02 AI at Box 2:59 New tools 5:26 Embracing AI at Box 8:13 Using AI to do more 11:09 White collar collapse? 14:51 How does demand scale? 19:29 Managing AI 25:51 Companies with too much power 29:58 Personal vs Work agents 35:37 What if AI makes a big mistake? 41:23 Who will own the agents? 43:37 SaaS is dead 48:40 Future of the web 57:23 Using AI on socials
59:27

Can AI agents automate all work? What happens to white collar jobs? I sat down with Aaron Levie (Aaron Levie), Founder and CEO of to talk about agents, deploying AI, the future of white collar jobs, the future of SaaS, and so much more. 0:00 Intro 1:02 AI at Box 2:59 New tools 5:26 Embracing AI at Box 8:13 Using AI to do more 11:09 White collar collapse? 14:51 How does demand scale? 19:29 Managing AI 25:51 Companies with too much power 29:58 Personal vs Work agents 35:37 What if AI makes a big mistake? 41:23 Who will own the agents? 43:37 SaaS is dead 48:40 Future of the web 57:23 Using AI on socials

Matthew Berman

91,581 views • 1 year ago

In our latest partner podcast episode, Ben Kus, CTO of Box, sat down with Ankur Goyal, CEO of Braintrust, to explore how organizations can effectively evaluate, test, and deploy AI agents at scale. Timestamps 00:39 Ankur Goyal shares his journey from AI document processing to Braintrust 03:01 Defining evals and how they work in AI 07:03 Non-determinism and complexity in AI agents' decision-making 15:12 Advice on handling non-determinism when working with financial data in AI 17:40 Using multiple paths for validation and the importance of cross-checking results 22:12 The critical role of context in evaluating AI output accuracy 26:03 Internal evals as the cornerstone of reliable AI product development 32:16 Promoting transparency in AI evaluation with vendors 34:45 Advice for enterprises to avoid failure when deploying agentic capabilities
37:08

In our latest partner podcast episode, Ben Kus, CTO of Box, sat down with Ankur Goyal, CEO of Braintrust, to explore how organizations can effectively evaluate, test, and deploy AI agents at scale. Timestamps 00:39 Ankur Goyal shares his journey from AI document processing to Braintrust 03:01 Defining evals and how they work in AI 07:03 Non-determinism and complexity in AI agents' decision-making 15:12 Advice on handling non-determinism when working with financial data in AI 17:40 Using multiple paths for validation and the importance of cross-checking results 22:12 The critical role of context in evaluating AI output accuracy 26:03 Internal evals as the cornerstone of reliable AI product development 32:16 Promoting transparency in AI evaluation with vendors 34:45 Advice for enterprises to avoid failure when deploying agentic capabilities

Box

340,056 views • 5 months ago

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg
1:05:44

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg

a16z

162,795 views • 3 months ago

CHRIS CAMILLO ON WHY AMAZON $AMZN IS HIS BIGGEST AI BET Chris Camillo's thesis: the AI efficiency wave. Every company in the world gets massively more efficient over the next few years as they adopt AI. The biggest beneficiary of that wave is undoubtedly Amazon. Why: they spent 20 years building a global logistics infrastructure that is now poised to get dramatically cheaper to run through AI and robotics. On top of that: - One of 3-4 companies spending hundreds of billions on AI infrastructure - Top 3 global digital ad company - "People think they're spending too much. I think they're spending too little." "Everything I could think of at Amazon right now is a positive long term."
2:13

CHRIS CAMILLO ON WHY AMAZON $AMZN IS HIS BIGGEST AI BET Chris Camillo's thesis: the AI efficiency wave. Every company in the world gets massively more efficient over the next few years as they adopt AI. The biggest beneficiary of that wave is undoubtedly Amazon. Why: they spent 20 years building a global logistics infrastructure that is now poised to get dramatically cheaper to run through AI and robotics. On top of that: - One of 3-4 companies spending hundreds of billions on AI infrastructure - Top 3 global digital ad company - "People think they're spending too much. I think they're spending too little." "Everything I could think of at Amazon right now is a positive long term."

WOLF

45,256 views • 3 months ago

Filevine and its founder Ryanfilevine may be the most successful AI company you haven't heard of. Filevine is a legal tech platform on an incredible run - serving 6,000 customers and generating +$200 million in annual revenue. Divot chat below. Timestamps: 02:42 — What Filevine Actually Does (Legal AI Explained) 04:08 — The Problem That Inspired Filevine 05:03 — The Risk Conversation With His Wife 09:03 — Meeting the Engineer Who Built the Vision 11:56 — The Founder Mindset: “I’ll Figure It Out” 18:20 — The Day Ryan Quit His Job 22:14 — Rewriting Filevine for the AI Era 25:41 — How AI Is Changing Software Teams 31:28 — Why the Legal Industry Could Grow 100x 44:55 — The Future of Law: AI Running Legal Work 55:20 — The Mindset to Build a Billion-Dollar Company 01:06:10 — Ryan’s Real Definition of Success Hashtags: #RyanAnderson #LegalAI #LegalTech #Entrepreneurship #SaaS #ArtificialIntelligence #Leadership #Justice #Innovation #DivotPodcast
1:07:40

Filevine and its founder Ryanfilevine may be the most successful AI company you haven't heard of. Filevine is a legal tech platform on an incredible run - serving 6,000 customers and generating +$200 million in annual revenue. Divot chat below. Timestamps: 02:42 — What Filevine Actually Does (Legal AI Explained) 04:08 — The Problem That Inspired Filevine 05:03 — The Risk Conversation With His Wife 09:03 — Meeting the Engineer Who Built the Vision 11:56 — The Founder Mindset: “I’ll Figure It Out” 18:20 — The Day Ryan Quit His Job 22:14 — Rewriting Filevine for the AI Era 25:41 — How AI Is Changing Software Teams 31:28 — Why the Legal Industry Could Grow 100x 44:55 — The Future of Law: AI Running Legal Work 55:20 — The Mindset to Build a Billion-Dollar Company 01:06:10 — Ryan’s Real Definition of Success Hashtags: #RyanAnderson #LegalAI #LegalTech #Entrepreneurship #SaaS #ArtificialIntelligence #Leadership #Justice #Innovation #DivotPodcast

Derek Andersen

13,507 views • 4 months ago

MIT's new State of AI in Business report went viral for claiming that 95% of enterprise AI projects fail. But the real story isn't that AI doesn't work — it's just big companies can't build it. On the Lightcone Podcast, Garry Tan, Harj Taggar, Diana, and Jared Friedman break down what the study really says, why in-house enterprise AI efforts keep stalling, and how startups are filling the gap with products that learn, integrate, and actually deliver value. 2:08 - The enterprise AI adoption gap and why the failure rate is high 3:32 - Even Apple can be bad at software 4:30 - Why getting enterprise software to actually work is so hard 11:08 - The Reducto case study 13:39 - The type of enterprise employee you should find as a founder 14:39 - Meet founders who’ve been acquired by enterprises 15:25 - Enterprise/startup tension and symbiosis
21:43

MIT's new State of AI in Business report went viral for claiming that 95% of enterprise AI projects fail. But the real story isn't that AI doesn't work — it's just big companies can't build it. On the Lightcone Podcast, Garry Tan, Harj Taggar, Diana, and Jared Friedman break down what the study really says, why in-house enterprise AI efforts keep stalling, and how startups are filling the gap with products that learn, integrate, and actually deliver value. 2:08 - The enterprise AI adoption gap and why the failure rate is high 3:32 - Even Apple can be bad at software 4:30 - Why getting enterprise software to actually work is so hard 11:08 - The Reducto case study 13:39 - The type of enterprise employee you should find as a founder 14:39 - Meet founders who’ve been acquired by enterprises 15:25 - Enterprise/startup tension and symbiosis

Y Combinator

118,718 views • 9 months ago

David Ulevitch on how AI is transforming energy, defense, and logistics: "If you start at the most fundamental level, energy—we have an insatiable thirst for energy in this country, and AI compute is driving a huge amount of it." "AI compute will then power lots of things. It's not just going to power ChatGPT, but it's going to power autonomy systems, all kinds of other language models, and all other kinds of use cases." "If you look at defense, computer vision is transforming the battlefield." "Then you see AI transforming logistics... flight operations and planning using AI, so you can have the most efficient flight planning, save the most amount of fuel, and make sure that the least amount of flights get canceled." David Ulevitch 🇺🇸 on sourcery
3:30

David Ulevitch on how AI is transforming energy, defense, and logistics: "If you start at the most fundamental level, energy—we have an insatiable thirst for energy in this country, and AI compute is driving a huge amount of it." "AI compute will then power lots of things. It's not just going to power ChatGPT, but it's going to power autonomy systems, all kinds of other language models, and all other kinds of use cases." "If you look at defense, computer vision is transforming the battlefield." "Then you see AI transforming logistics... flight operations and planning using AI, so you can have the most efficient flight planning, save the most amount of fuel, and make sure that the least amount of flights get canceled." David Ulevitch 🇺🇸 on sourcery

a16z

17,567 views • 5 months ago

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A
42:01

Amjad Masad (Amjad Masad), co-founder & CEO of Replit, has spent nearly a decade making programming accessible to everyone. With AI, that vision is closer than ever. In his AI Startup School talk, Amjad traces computing’s arc from mainframes to PCs to a future where AI agents generate software on demand—driving the value of traditional software toward zero and reshaping how companies are built. 00:22 - Evolution of Computing 01:27 - The Rise of Software Engineering 02:16 - Replit's Vision: Making Programming Accessible 02:42 - The Role of AI in Software Development 04:32 - Challenges and Infrastructure for AI Agents 05:03 - Building a Scalable and Secure Environment 06:08 - Future of Software Engineering Agents 09:25 - Autonomy Levels in AI Agents 15:56 - Predictions for the Software Market 18:31 - Impact on Business and Employment 19:58 - The Role of Generalist Employees 26:00 - Audience Q&A

Y Combinator

224,320 views • 10 months ago

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 views • 1 year ago

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency
39:32

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

Y Combinator

107,654 views • 4 months ago

What if the question isn’t whether to use AI, but how fast you can learn to work with it? In this special episode recorded live at Webex One, I talk with Jeetu Patel (Jeetu Patel), President and Chief Product Officer at Cisco, about the mindset shift every company, and every professional, must make to thrive in the AI era. From rethinking work culture to designing products for both humans and AI agents, Jeetu shares a thoughtful, optimistic vision for the future, one rooted in curiosity, responsibility, and human creativity. “AI won’t take your job. But someone who uses AI better than you might.” An honest, energizing look at how to lead and learn in an AI-first world. 1:08 Embracing AI In The Workforce 5:17 AI Is More Than A Productivity Tool 8:35 Generational Differences In AI Use 10:49 The Future of Integrating AI Agents 13:44 AI As A "Given" 17:08 Speed of Accumulating Knowledge 19:00 Ethical AI Use 21:16 What The Industry Gets Wrong About AI
23:48

What if the question isn’t whether to use AI, but how fast you can learn to work with it? In this special episode recorded live at Webex One, I talk with Jeetu Patel (Jeetu Patel), President and Chief Product Officer at Cisco, about the mindset shift every company, and every professional, must make to thrive in the AI era. From rethinking work culture to designing products for both humans and AI agents, Jeetu shares a thoughtful, optimistic vision for the future, one rooted in curiosity, responsibility, and human creativity. “AI won’t take your job. But someone who uses AI better than you might.” An honest, energizing look at how to lead and learn in an AI-first world. 1:08 Embracing AI In The Workforce 5:17 AI Is More Than A Productivity Tool 8:35 Generational Differences In AI Use 10:49 The Future of Integrating AI Agents 13:44 AI As A "Given" 17:08 Speed of Accumulating Knowledge 19:00 Ethical AI Use 21:16 What The Industry Gets Wrong About AI

Carolina Milanesi

37,076 views • 10 months ago

Perplexity co-founder and CEO Aravind Srinivas (Aravind Srinivas) on the race to build the AI browser of the future. At AI Startup School in San Francisco. 00:48 - Perplexity's Current Status and Challenges 01:16 - Future Plans: The Browser Bet 03:18 - Competition and Market Dynamics 04:43 - The Importance of Speed and Innovation 05:51 - Founding Perplexity: The Early Days 09:18 - Product Evolution and User Experience 19:44 - Running the Company and Future Outlook 20:15 - AI Tools in Software Engineering 20:31 - Adoption and Implementation of AI Coding Tools 21:11 - Challenges and Benefits of AI in Development 22:35 - Brand Value and Competition 23:56 - Network Effects and Integrations 27:40 - Business Model and Revenue Streams 29:54 - Advice for Founders 31:33 - Audience Q&A
43:12

Perplexity co-founder and CEO Aravind Srinivas (Aravind Srinivas) on the race to build the AI browser of the future. At AI Startup School in San Francisco. 00:48 - Perplexity's Current Status and Challenges 01:16 - Future Plans: The Browser Bet 03:18 - Competition and Market Dynamics 04:43 - The Importance of Speed and Innovation 05:51 - Founding Perplexity: The Early Days 09:18 - Product Evolution and User Experience 19:44 - Running the Company and Future Outlook 20:15 - AI Tools in Software Engineering 20:31 - Adoption and Implementation of AI Coding Tools 21:11 - Challenges and Benefits of AI in Development 22:35 - Brand Value and Competition 23:56 - Network Effects and Integrations 27:40 - Business Model and Revenue Streams 29:54 - Advice for Founders 31:33 - Audience Q&A

Y Combinator

236,501 views • 1 year ago