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.Factory is building something different for software teams. Here's my interview with Factory co-founder and CEO Matan Grinberg Matan Grinberg. He explains why Factory took a different approach to agentic coding and how he thinks about the future of software development. 0:00 Intro 0:36 Why Build Factory 6:57 The... show more

Matthew Berman

75,043 subscribers

17,500 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育

Anya Rossi• Live Now

Private livecam show

9 条评论

Emeric AI + SMS = 💰 的头像

Emeric AI + SMS = 💰1 年前

@FactoryAI @matanSF excited to see how agentic coding evolves—solver or dreamer?

Mobile Scanner 的头像

Mobile Scanner1 年前

Scan any documents, convert images into text, PDF files, etc. 👍

John Swanson 的头像

John Swanson1 年前

@FactoryAI @matanSF Nerd sniped…will be using that

BEN SYNE 的头像

BEN SYNE1 年前

@FactoryAI @matanSF Factory has been very very impressive so far, I think they are onto something

Vincent Valentine (CEO of UnOpen.ai) 的头像

Vincent Valentine (CEO of UnOpen.ai)1 年前

@FactoryAI @matanSF exciting insights on the future of software development.

Yunus B 的头像

Yunus B1 年前

@FactoryAI @matanSF This is amazing

Charles Martel 的头像

Charles Martel1 年前

@FactoryAI @matanSF Another founder backed by VC, Heads the VC wins after the kid works 100 hours a week and tails this kid loses and living in his parents' basement.

Lumida Wealth Management 的头像

Lumida Wealth Management1 年前

@FactoryAI @matanSF

Himanshu Kumar 的头像

Himanshu Kumar1 年前

@FactoryAI @matanSF Intriguing, is agentic coding the key to unlocking faster software development cycles?

相关视频

"We don't need to live like this." Matan Grinberg (Matan Grinberg) is the founder and CEO of Factory, a startup building AI agents, called droids, that handle software engineering the way no single AI lab wants them to: independent of any one model. His conviction is that AI's real constraint isn't capability. It's that the industry keeps building tools locked to one company's model, leaving that company free to dictate the terms of how you can use it. (0:00) Intro (3:50) Noether’s theorem explained (10:53) Why there will always be more problems to solve (20:10) Why Factory abstracts away model choice (35:33) How Matan got into string theory (41:53) Startup founders vs. theoretical physicists (52:53) The origins of Factory (1:08:11) Matan’s predictions for the future of AI and Factory Thank you to the partners who make this possible .TECH domains: An identity for builders at their core: Brex: The intelligent finance platform: Persona: Trusted identity verification for any use case:

"We don't need to live like this." Matan Grinberg (Matan Grinberg) is the founder and CEO of Factory, a startup building AI agents, called droids, that handle software engineering the way no single AI lab wants them to: independent of any one model. His conviction is that AI's real constraint isn't capability. It's that the industry keeps building tools locked to one company's model, leaving that company free to dictate the terms of how you can use it. (0:00) Intro (3:50) Noether’s theorem explained (10:53) Why there will always be more problems to solve (20:10) Why Factory abstracts away model choice (35:33) How Matan got into string theory (41:53) Startup founders vs. theoretical physicists (52:53) The origins of Factory (1:08:11) Matan’s predictions for the future of AI and Factory Thank you to the partners who make this possible .TECH domains: An identity for builders at their core: Brex: The intelligent finance platform: Persona: Trusted identity verification for any use case:

Mario Gabriele

47,217 次观看 • 1 个月前

"Any feature we release, a competitor could release within two weeks." Matan Grinberg (Factory) on why the moat isn't software anymore. dsa (LiveKit) on building the framework for voice, video, and physical AI. George Sivulka (@HebbiaAI) on what it takes to win in vertical AI. They join @jason on This Week in AI, Episode 11: 00:00 Intro & AGI debate 03:30 Factory: autonomy for software engineering 04:29 LiveKit: open source to ChatGPT voice 10:31 Hebbia: AI for capital markets 13:21 SpaceX-Cursor $60 billion deal breakdown 26:28 Moats in the age of vibe coding 38:10 Deterministic agents vs. open chaos 45:56 DeepSeek V4 01:05:23 OpenAI's spend problem 01:12:08 P-doom scores

"Any feature we release, a competitor could release within two weeks." Matan Grinberg (Factory) on why the moat isn't software anymore. dsa (LiveKit) on building the framework for voice, video, and physical AI. George Sivulka (@HebbiaAI) on what it takes to win in vertical AI. They join @jason on This Week in AI, Episode 11: 00:00 Intro & AGI debate 03:30 Factory: autonomy for software engineering 04:29 LiveKit: open source to ChatGPT voice 10:31 Hebbia: AI for capital markets 13:21 SpaceX-Cursor $60 billion deal breakdown 26:28 Moats in the age of vibe coding 38:10 Deterministic agents vs. open chaos 45:56 DeepSeek V4 01:05:23 OpenAI's spend problem 01:12:08 P-doom scores

This Week in AI

103,063 次观看 • 3 个月前

Poolside’s Race to AGI: Model Factory, Laguna S, Open Models, & Beyond MCP Poolside co-founder and CEO Eiso Kant explains why coding is the path to AGI, how Poolside’s Model Factory runs 10,000–20,000 experiments a month and turns new models around in as little as eight weeks, why Laguna S suggests persistence and verification may matter more than raw intelligence, why agents are already helping build the next generation of models, and why the future should have 100 foundation model companies not five.

Poolside’s Race to AGI: Model Factory, Laguna S, Open Models, & Beyond MCP Poolside co-founder and CEO Eiso Kant explains why coding is the path to AGI, how Poolside’s Model Factory runs 10,000–20,000 experiments a month and turns new models around in as little as eight weeks, why Laguna S suggests persistence and verification may matter more than raw intelligence, why agents are already helping build the next generation of models, and why the future should have 100 foundation model companies not five.

Latent.Space

33,269 次观看 • 27 天前

News: Base Power raises $1B and issues a call to JOIN THE CHARGE in building America’s Power Company™. Terrain partner Willem sat down with CEO Zach Dell in front of Base Factory 1 to discuss hiring, hardware, culture, and what it takes to build a new energy future. 0:00 - Building America's Power Company 0:19 - Intro 1:00 - Base Factory 1 reveal 1:10 - Building in Austin 2:38 - A technology company competing in energy 3:53 - The importance of vertical integration 5:23 - Where Base's joyful culture comes from 7:14 - Why work at Base? 9:51 - Base Pace & the turtle 11:42 - Building a beloved energy brand 12:59 - Infrastructure level ambition 13:42 - Longevity & compounding opportunity 15:03 - The appeal of hard problems 17:14 - Endless energy in subject matter 21:10 - Closing

Terrain

38,894 次观看 • 10 个月前

I toured the only factory in America building humanoid robots from scratch. Last month, I got an exclusive first look at the facility making NEO— the humanoid robot launching into consumer homes later this year. It is the most vertically integrated humanoid robot factory in America. Every critical component is done in-house. CEO Bernt Børnich walked us through the full story: from building soapbox cars with his dad at age 11 to leading the only end-to-end humanoid robot factory in the United States. VP of Operations Vikram Kothari then took us inside the entire build process, where every motor, limb, circuit, and sensor comes together under one roof on a rapid four-week cycle from CAD to finished robot. [TIMESTAMPS] (00:00) Welcome to the NEO Factory (01:00) 1X: from childhood dream to reality (02:21) The World Model difference: true general intelligence (03:48) Making everything in America- why is it so important? (05:01) Walking the factory floor (06:04) Safety and privacy (07:57) A more abundant future: the real impact of NEO (09:26) Bernt's story and the 1X North Star Huge thank you to Bernt Bornich, Vikram, and the entire 1X team for opening the doors and showing us everything!

I toured the only factory in America building humanoid robots from scratch. Last month, I got an exclusive first look at the facility making NEO— the humanoid robot launching into consumer homes later this year. It is the most vertically integrated humanoid robot factory in America. Every critical component is done in-house. CEO Bernt Børnich walked us through the full story: from building soapbox cars with his dad at age 11 to leading the only end-to-end humanoid robot factory in the United States. VP of Operations Vikram Kothari then took us inside the entire build process, where every motor, limb, circuit, and sensor comes together under one roof on a rapid four-week cycle from CAD to finished robot. [TIMESTAMPS] (00:00) Welcome to the NEO Factory (01:00) 1X: from childhood dream to reality (02:21) The World Model difference: true general intelligence (03:48) Making everything in America- why is it so important? (05:01) Walking the factory floor (06:04) Safety and privacy (07:57) A more abundant future: the real impact of NEO (09:26) Bernt's story and the 1X North Star Huge thank you to Bernt Bornich, Vikram, and the entire 1X team for opening the doors and showing us everything!

Roberto Nickson

240,150 次观看 • 3 个月前

Why is China ahead of the World? I'll tell you WHY. I took a train Hong Kong → China at 8:20 AM. By 11, I was at my 1st factory for a meeting. Had my Lunch, then the second factory by 1:30 PM. 3:00 → third factory. 4:30 → fourth factory. By 6:30 PM, back on the train to Hong Kong. 🇭🇰 3 cities, 4 factories, 1 day. ✅ This works because of: - insane infrastructure, - ⁠tight ecosystems - train connectivity, and - factories being super prepared. Everything is ready for discussion. Quick in and out. You can’t measure this kind of productivity… until you experience it yourself.

Why is China ahead of the World? I'll tell you WHY. I took a train Hong Kong → China at 8:20 AM. By 11, I was at my 1st factory for a meeting. Had my Lunch, then the second factory by 1:30 PM. 3:00 → third factory. 4:30 → fourth factory. By 6:30 PM, back on the train to Hong Kong. 🇭🇰 3 cities, 4 factories, 1 day. ✅ This works because of: - insane infrastructure, - ⁠tight ecosystems - train connectivity, and - factories being super prepared. Everything is ready for discussion. Quick in and out. You can’t measure this kind of productivity… until you experience it yourself.

Prakash Dadlani

374,548 次观看 • 8 个月前

My Pet Hooligan: Creating the future of AI-powered IP 01:38 Creating an IP Factory 07:34 The "Napkin sketch" Netflix era 09:22 Working with Coldplay and BTS 16:32 Creating an Agentic Commerce Platform 23:03 MPH's AI production stack exposed 31:24 What is $HOOLI and why does it matter? 43:47 The 1 year vision

My Pet Hooligan: Creating the future of AI-powered IP 01:38 Creating an IP Factory 07:34 The "Napkin sketch" Netflix era 09:22 Working with Coldplay and BTS 16:32 Creating an Agentic Commerce Platform 23:03 MPH's AI production stack exposed 31:24 What is $HOOLI and why does it matter? 43:47 The 1 year vision

Nick O’Neill

24,922 次观看 • 3 个月前

My full interview with Roman Chernin, Co-founder & Chief Business Officer of Nebius Nebius just signed a $17 billion deal with Microsoft and a $3 billion deal with Meta. These are two of the biggest tech companies on Earth - and they're coming to Nebius for AI infrastructure. But the company does so much more than that: - Full-stack AI cloud (data centers → software → managed services) - Nebius Token Factory Nebius Token Factory for managed inference & post-training - Partners include Shopify, Higgsfield, Jetbrains My 5 takeaways with Roman Chernin below - thanks for the conversation! Full interview also available on YT ⬇️ Timestamps: 00:00 - Introduction 01:47 - Overview of Nebius $NBIS 03:23 - Roman's background and role at Nebius 04:10 - The $17B Microsoft & $3B Meta deals 05:29 - Why hyperscalers trust Nebius over building in-house 07:06 - Nebius's full-stack approach: Data centers to managed services 08:39 - Customer segmentation: Hyperscalers & Frontier AI Labs vs AI Startups vs Enterprises 14:41 - Token Factory explained: Managed inference & post-training 17:41 - When to switch from closed-source to open-source models 20:59 - Real results: Process achieves 26% cost reduction 25:05 - Why developers love building on Nebius 28:40 - AI agents and the future of infrastructure interaction 32:22 - NVIDIA's Groq acquisition: What it means for inference 35:38 - Why AI adoption will surprise us

My full interview with Roman Chernin, Co-founder & Chief Business Officer of Nebius Nebius just signed a $17 billion deal with Microsoft and a $3 billion deal with Meta. These are two of the biggest tech companies on Earth - and they're coming to Nebius for AI infrastructure. But the company does so much more than that: - Full-stack AI cloud (data centers → software → managed services) - Nebius Token Factory Nebius Token Factory for managed inference & post-training - Partners include Shopify, Higgsfield, Jetbrains My 5 takeaways with Roman Chernin below - thanks for the conversation! Full interview also available on YT ⬇️ Timestamps: 00:00 - Introduction 01:47 - Overview of Nebius $NBIS 03:23 - Roman's background and role at Nebius 04:10 - The $17B Microsoft & $3B Meta deals 05:29 - Why hyperscalers trust Nebius over building in-house 07:06 - Nebius's full-stack approach: Data centers to managed services 08:39 - Customer segmentation: Hyperscalers & Frontier AI Labs vs AI Startups vs Enterprises 14:41 - Token Factory explained: Managed inference & post-training 17:41 - When to switch from closed-source to open-source models 20:59 - Real results: Process achieves 26% cost reduction 25:05 - Why developers love building on Nebius 28:40 - AI agents and the future of infrastructure interaction 32:22 - NVIDIA's Groq acquisition: What it means for inference 35:38 - Why AI adoption will surprise us

Elliot Garreffa

29,660 次观看 • 6 个月前

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep

Amp

36,150 次观看 • 6 个月前

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Rahul

1,203,705 次观看 • 2 个月前

How do we fix factory farming? Most people hate it -- it sucks for our health, our animals, our environment, and it's putting small farmers out of business. So why is it still happening? I sat down with food policy researcher Lewis Bollard to understand how to fix the worst parts of the meat industry. A super informationally dense episode on a topic very dear to my heart, so please watch and share, thank you♥️ Chapters: 0:00 - Intro & Lewis's life story 4:20 - What Qualifies as a Factory Farm? 14:20 - The Human Cost Of Factory Farming 20:33 - U.S. Labeling Standards 25:11 - Pandemic Risks from Factory Farming 31:45 - Environmental Impacts 36:28 - Mental Health Of Farm Workers 43:13 - Undercover Reporting 48:14 - Political Corruption and Incentives 53:14 - EATS Act & the Farm Bill 1:00:32 - Ag-gag Laws 1:04:32 - Improvements & Solutions 1:17:29 - Government Subsidies 1:24:02 - Technological Solutions 1:31:08 - Cultivated Meat 1:39:52 - Advice From Lewis 1:45:38 - Finding a Win-Win Future of Farming The Win-Win Podcast: Poker champion Liv Boeree is joined by top researchers, philosophers, gamers, artists, technologists, CEOs, scientists, athletes and more to understand how competition manifests in their world, and how to design incentives to fix coordination problems and change lose-lose games into Win-Wins.

How do we fix factory farming? Most people hate it -- it sucks for our health, our animals, our environment, and it's putting small farmers out of business. So why is it still happening? I sat down with food policy researcher Lewis Bollard to understand how to fix the worst parts of the meat industry. A super informationally dense episode on a topic very dear to my heart, so please watch and share, thank you♥️ Chapters: 0:00 - Intro & Lewis's life story 4:20 - What Qualifies as a Factory Farm? 14:20 - The Human Cost Of Factory Farming 20:33 - U.S. Labeling Standards 25:11 - Pandemic Risks from Factory Farming 31:45 - Environmental Impacts 36:28 - Mental Health Of Farm Workers 43:13 - Undercover Reporting 48:14 - Political Corruption and Incentives 53:14 - EATS Act & the Farm Bill 1:00:32 - Ag-gag Laws 1:04:32 - Improvements & Solutions 1:17:29 - Government Subsidies 1:24:02 - Technological Solutions 1:31:08 - Cultivated Meat 1:39:52 - Advice From Lewis 1:45:38 - Finding a Win-Win Future of Farming The Win-Win Podcast: Poker champion Liv Boeree is joined by top researchers, philosophers, gamers, artists, technologists, CEOs, scientists, athletes and more to understand how competition manifests in their world, and how to design incentives to fix coordination problems and change lose-lose games into Win-Wins.

Liv Boeree

166,525 次观看 • 1 年前

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

In the first episode of our new series Full Stack, Conductor CEO and co-founder Charlie Holtz takes us into the details of how he sets up his workflow for coding and managing AI agents. 00:00 – Building Conductor With Conductor 01:05 – Managing a Team of Coding Agents 02:39 – Do You Still Write Code? 04:17 – Charlie's AI Stack and Setup 05:48 – “Slop-free” Zones 07:25 – Don’t Let the AI Be Your Architect 09:15 – The Future of Cloud Workspaces 10:40 – Claude vs Codex 12:01 – Tokenmaxxing 14:17 – The Future of Human–AI Collaboration 15:07 – "Code Is Becoming Sawdust"

Y Combinator

155,571 次观看 • 2 个月前

Also Capital Founder Mike Annunziata: Too many startups vertically integrate without any real strategic reason. "You should not vertically integrate just for vertical integration's sake. It's a poor use of capital to take a bunch of equity and put it into a commodity machine, which you could instead not do." "I love the theory behind 'the factory is the product,' but there's some strong strategy that it needs to be built on." "SpaceX is a good canonical example. Why did they build a factory? Because they were creating massive demand at the same time they were trying to deliver it at a given unit price to unlock a bigger economic opportunity. There were no third parties even available. They had to do it themselves." "If you're going to build a factory in three years, you need to be thinking about it now. So - why are you building that factory? What competitive advantages does it give you?"

Also Capital Founder Mike Annunziata: Too many startups vertically integrate without any real strategic reason. "You should not vertically integrate just for vertical integration's sake. It's a poor use of capital to take a bunch of equity and put it into a commodity machine, which you could instead not do." "I love the theory behind 'the factory is the product,' but there's some strong strategy that it needs to be built on." "SpaceX is a good canonical example. Why did they build a factory? Because they were creating massive demand at the same time they were trying to deliver it at a given unit price to unlock a bigger economic opportunity. There were no third parties even available. They had to do it themselves." "If you're going to build a factory in three years, you need to be thinking about it now. So - why are you building that factory? What competitive advantages does it give you?"

TBPN

572,794 次观看 • 5 个月前

Week 17 Colts at Giants review with Kevin Bowen! - Colts couldn’t find a way to win against the worst team in the NFL - Defense continues to struggle - What is the big picture for the future of the Colts? and more Visit to find the Factory Authorized Dealer closest to you.

Week 17 Colts at Giants review with Kevin Bowen! - Colts couldn’t find a way to win against the worst team in the NFL - Defense continues to struggle - What is the big picture for the future of the Colts? and more Visit to find the Factory Authorized Dealer closest to you.

1075 The Fan

10,702 次观看 • 1 年前

Last week I sat down with Ankit and did a brain dump. 1. A software factory is essentially a CNC machine or a woodworking shop. Without training, many people will cut off their hands. 2. Building a true “dark factory” as fully automated software production with no humans in the loop means solving autonomous verification first 3. Code review was mostly broken even before AI happened. 4. Agent maintainability is replacing human maintainability as the real measure of code quality 5. Nobody Knows What Engineering Orgs Will Look Like 6. Programming Languages Will Converge, and the Next One Won't Be for Humans 7. The Craft Is More Important Than Ever

Last week I sat down with Ankit and did a brain dump. 1. A software factory is essentially a CNC machine or a woodworking shop. Without training, many people will cut off their hands. 2. Building a true “dark factory” as fully automated software production with no humans in the loop means solving autonomous verification first 3. Code review was mostly broken even before AI happened. 4. Agent maintainability is replacing human maintainability as the real measure of code quality 5. Nobody Knows What Engineering Orgs Will Look Like 6. Programming Languages Will Converge, and the Next One Won't Be for Humans 7. The Craft Is More Important Than Ever

geoff

12,938 次观看 • 2 个月前

John toured NIO's factory in China. They built an upscale EV for under $10k and went from the first shovel in the ground to the first car off the line in just 17 months. He said China knew it would always be behind in ICE cars, so it pushed aggressively into EVs to leapfrog to the next technology and gain an advantage over the rest of the world. "Going to their factory and seeing, number one, how quickly that factory is built. And second, the factory automation -- much of the process was done via robotics. Looking at the auto plants we have in the US, we still have a plant that was originally built a 100 years ago, operating outside of Chicago. The average age of a US plant is roughly 40 years now. They've been upgraded over time but I don't think they replicate what's happening with robotics in China. This combination of being able to do things really quickly with a skilled but low-cost labor force and robotics has just allowed China to create a quality product at a price that nobody in the rest of the world's really been able to figure out yet."

John toured NIO's factory in China. They built an upscale EV for under $10k and went from the first shovel in the ground to the first car off the line in just 17 months. He said China knew it would always be behind in ICE cars, so it pushed aggressively into EVs to leapfrog to the next technology and gain an advantage over the rest of the world. "Going to their factory and seeing, number one, how quickly that factory is built. And second, the factory automation -- much of the process was done via robotics. Looking at the auto plants we have in the US, we still have a plant that was originally built a 100 years ago, operating outside of Chicago. The average age of a US plant is roughly 40 years now. They've been upgraded over time but I don't think they replicate what's happening with robotics in China. This combination of being able to do things really quickly with a skilled but low-cost labor force and robotics has just allowed China to create a quality product at a price that nobody in the rest of the world's really been able to figure out yet."

Patrick OShaughnessy

50,988 次观看 • 5 个月前