Loading video...

Video Failed to Load

Go Home

CLAUDE CODE CREATOR: "BUILDING SOFTWARE IS GOING TO BE A SKILL LIKE KNOWING HOW TO SEND A TEXT MESSAGE." Boris Cherny, the creator of Claude Code, just made the most important prediction about software in years. His parallel: the printing press. Before the printing press, 10% of Europeans were...

ScottyBeamIO's profile picture

SCOTTY BEAM

75,496 subscribers

10,786 views • 1 month ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Anish Acharya: We're going to see a "YouTube moment for software": "If you think about YouTube 20 years ago—we had lots of video and lots of television, and it was high production quality, and it wasn't clear that we needed more and 20 years later, YouTube's a $550 billion enterprise that would be one of the biggest companies in the world if it was independent." "I think the same thing is going to happen for software. People want to make software, and for the first time they can—and they can distribute it and they can consume it." "Sometimes it's going to be important software. Sometimes it's going to be totally trivial. It's going to be software for a bachelor party weekend, software for a joke, software for a prompt. We have this sort of seriousness about software that we had about video and television 20 years ago." "Now it's like—I just took a video on my phone. It's going to be like—I just made an app on my phone. Same energy." Anish Acharya on BILLIONS with Guillaume Moubeche
1:30

Anish Acharya: We're going to see a "YouTube moment for software": "If you think about YouTube 20 years ago—we had lots of video and lots of television, and it was high production quality, and it wasn't clear that we needed more and 20 years later, YouTube's a $550 billion enterprise that would be one of the biggest companies in the world if it was independent." "I think the same thing is going to happen for software. People want to make software, and for the first time they can—and they can distribute it and they can consume it." "Sometimes it's going to be important software. Sometimes it's going to be totally trivial. It's going to be software for a bachelor party weekend, software for a joke, software for a prompt. We have this sort of seriousness about software that we had about video and television 20 years ago." "Now it's like—I just took a video on my phone. It's going to be like—I just made an app on my phone. Same energy." Anish Acharya on BILLIONS with Guillaume Moubeche

a16z

102,908 views • 4 months ago

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)
0:59

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 views • 2 months ago

$PLTR PALANTIR WENT PUBLIC 5 YEARS AGO TODAY. They did a direct public offering at $10 a share. The company's market capitalization has 18x'ed since going public. CEO Alex Karp, 5 years ago: "We are going to deliver the world's best software with the world's most efficient way of delivering it. Investors will decide what's that worth and I think you'll find in a number of years that there will be a consensus Palantir is a truly special software company that is arguably the most important software company in the world."
5:10

$PLTR PALANTIR WENT PUBLIC 5 YEARS AGO TODAY. They did a direct public offering at $10 a share. The company's market capitalization has 18x'ed since going public. CEO Alex Karp, 5 years ago: "We are going to deliver the world's best software with the world's most efficient way of delivering it. Investors will decide what's that worth and I think you'll find in a number of years that there will be a consensus Palantir is a truly special software company that is arguably the most important software company in the world."

amit

400,926 views • 10 months ago

Boris Cherny (Creator of Claude Code): "The one technical book I would recommend to everyone that has had the greatest impact on me as an engineer is functional programming in Scala. You're probably never going to use Scala day today, but the way it teaches you to think about coding problems is just such a change from the way that most people were in coding, either practically or in school. It's just. It's incredible. It's going to completely change the way that you code now. I think in types, when I code, the thing that matters in your code the most is the type signatures. This is more important than the code itself." Boris Cherny
0:26

Boris Cherny (Creator of Claude Code): "The one technical book I would recommend to everyone that has had the greatest impact on me as an engineer is functional programming in Scala. You're probably never going to use Scala day today, but the way it teaches you to think about coding problems is just such a change from the way that most people were in coding, either practically or in school. It's just. It's incredible. It's going to completely change the way that you code now. I think in types, when I code, the thing that matters in your code the most is the type signatures. This is more important than the code itself." Boris Cherny

Ryan Peterman

364,784 views • 3 months ago

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails
14:55

Some personal hot takes from AI: engineer Miami follows... 1. Software development is a dead-end profession because anyone can be a software developer now. 2. Anyone can use Cursor or any other tool and generate code. Being a coder and being a software engineer are different. 3. Computers used to be gated; now everyone has the power to make computers malleable. Everyone is a software developer now, but that does not mean they are software engineers 4. If you cannot demonstrate how a coding agent works, you are just a consumer and have imposed an artificial glass ceiling on your career as a software engineer. 5. If you are curious, you will have a job. If you have not been curious in the last two years, you are replaceable. 6. SaaS per-seat economics may become unstable as customers need fewer people to achieve results, prompting founders to think about new unit economics 7. Most companies will take two or three years (or more!) to figure out AI transformation. 8. Some companies are already building AI native teams of five to ten people who can build with the grain of AI 9. There will be an explosion in the number of software developers. Software development is now essentially free, and tokens are cheaper than humans 10. Not enough engineers know what it means to be a product engineer 11. JIRA ticket monkeys are cooked 12. If your company has banned AI, you should quit that company 13. AI is more like a musical instrument than just a tool play with it, make discoveries, build intuition learn where AI is good and where it fails

geoff

64,105 views • 1 month ago

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.
2:10

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.

Daniel

124,869 views • 1 month ago

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.
0:47

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.

Extraordinary

19,241 views • 4 months ago

Marc Andreessen (Marc Andreessen 🇺🇸): Airbnb could have been boutique booking software. Uber could have been taxi dispatch software. Tesla could have been self-driving software. They decided to take over the entire industry instead: "Silicon Valley between 1950 and 2010 was primarily just in the tools business. You'd build a tool like an operating system or a disk drive, sell it to people, and they'd figure out what to do with it. Then something changed. Alternate universe Airbnb is just boutique booking software. A tiny little business building spreadsheet software. But Brian Chesky decided: we're going to go into the hospitality business and compete with hotels directly. Uber and Lyft in the old world were just taxi dispatch software. In the new world, they're full transportation providers. Tesla in the old world would have just been software for self-driving cars. In the new world, it builds the entire car. Facebook, same thing. Prior to Facebook, if you built online ad software, you were selling it to media companies. Mark said: no. We're just going to beat the media company. We're going to build the entire thing. That was the pivot point when the Valley's ambitions went from just building tools to going directly into incumbent industries. And then AI makes that crystal clear. The winning AI companies are raising billions, tens of billions, in some cases hundreds of billions of dollars. The old world of $10,000,000 or $50,000,000 — where VCs tap out — is just not relevant anymore."
1:41

Marc Andreessen (Marc Andreessen 🇺🇸): Airbnb could have been boutique booking software. Uber could have been taxi dispatch software. Tesla could have been self-driving software. They decided to take over the entire industry instead: "Silicon Valley between 1950 and 2010 was primarily just in the tools business. You'd build a tool like an operating system or a disk drive, sell it to people, and they'd figure out what to do with it. Then something changed. Alternate universe Airbnb is just boutique booking software. A tiny little business building spreadsheet software. But Brian Chesky decided: we're going to go into the hospitality business and compete with hotels directly. Uber and Lyft in the old world were just taxi dispatch software. In the new world, they're full transportation providers. Tesla in the old world would have just been software for self-driving cars. In the new world, it builds the entire car. Facebook, same thing. Prior to Facebook, if you built online ad software, you were selling it to media companies. Mark said: no. We're just going to beat the media company. We're going to build the entire thing. That was the pivot point when the Valley's ambitions went from just building tools to going directly into incumbent industries. And then AI makes that crystal clear. The winning AI companies are raising billions, tens of billions, in some cases hundreds of billions of dollars. The old world of $10,000,000 or $50,000,000 — where VCs tap out — is just not relevant anymore."

David Senra

259,016 views • 4 months ago

Marc Andreessen (Marc Andreessen 🇺🇸): Airbnb could have been boutique booking software. Uber could have been taxi dispatch software. Tesla could have been self-driving software. They decided to take over the entire industry instead: "Silicon Valley between 1950 and 2010 was primarily just in the tools business. You'd build a tool like an operating system or a disk drive, sell it to people, and they'd figure out what to do with it. Then something changed. Alternate universe Airbnb is just boutique booking software. A tiny little business building spreadsheet software. But Brian Chesky decided: we're going to go into the hospitality business and compete with hotels directly. Uber and Lyft in the old world were just taxi dispatch software. In the new world, they're full transportation providers. Tesla in the old world would have just been software for self-driving cars. In the new world, it builds the entire car. Facebook, same thing. Prior to Facebook, if you built online ad software, you were selling it to media companies. Mark said: no. We're just going to beat the media company. We're going to build the entire thing. That was the pivot point when the Valley's ambitions went from just building tools to going directly into incumbent industries. And then AI makes that crystal clear. The winning AI companies are raising billions, tens of billions, in some cases hundreds of billions of dollars. The old world of $10,000,000 or $50,000,000 — where VCs tap out — is just not relevant anymore."
1:41

Marc Andreessen (Marc Andreessen 🇺🇸): Airbnb could have been boutique booking software. Uber could have been taxi dispatch software. Tesla could have been self-driving software. They decided to take over the entire industry instead: "Silicon Valley between 1950 and 2010 was primarily just in the tools business. You'd build a tool like an operating system or a disk drive, sell it to people, and they'd figure out what to do with it. Then something changed. Alternate universe Airbnb is just boutique booking software. A tiny little business building spreadsheet software. But Brian Chesky decided: we're going to go into the hospitality business and compete with hotels directly. Uber and Lyft in the old world were just taxi dispatch software. In the new world, they're full transportation providers. Tesla in the old world would have just been software for self-driving cars. In the new world, it builds the entire car. Facebook, same thing. Prior to Facebook, if you built online ad software, you were selling it to media companies. Mark said: no. We're just going to beat the media company. We're going to build the entire thing. That was the pivot point when the Valley's ambitions went from just building tools to going directly into incumbent industries. And then AI makes that crystal clear. The winning AI companies are raising billions, tens of billions, in some cases hundreds of billions of dollars. The old world of $10,000,000 or $50,000,000 — where VCs tap out — is just not relevant anymore."

David Senra

132,916 views • 29 days ago

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”
2:48

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”

ANI

114,594 views • 1 month ago

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.
29:43

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

1,202,870 views • 2 months ago

Robinhood CEO Vlad Tenev's hot take about jobs in the AI era: "There will be more software engineers in 10 years than there are today, and there will be more lawyers." "It's going to become much easier to start a venture and run it autonomously." "You'll be a software engineer, de facto. You've got your Claude Code agents writing code for you." "There will be more businesses." "The need for the legal profession actually scales with business activity." "If you have a million businesses incremental per year, each of those is going to need legal support." Vlad Tenev on Basis Points with amit and Steven Fiorillo
1:57

Robinhood CEO Vlad Tenev's hot take about jobs in the AI era: "There will be more software engineers in 10 years than there are today, and there will be more lawyers." "It's going to become much easier to start a venture and run it autonomously." "You'll be a software engineer, de facto. You've got your Claude Code agents writing code for you." "There will be more businesses." "The need for the legal profession actually scales with business activity." "If you have a million businesses incremental per year, each of those is going to need legal support." Vlad Tenev on Basis Points with amit and Steven Fiorillo

a16z

133,537 views • 4 months ago

prediction from Chamath Palihapitiya : 95% of enterprise software running in production today will be rewritten in the next 3 years. AI made rewriting cheaper than maintaining. for 30 years the ROI on rebuilding software was brutal. a 7-figure build. a 2-year timeline. 60% chance of failure. executives chose maintenance every time, even as costs compounded. AI just flipped that equation. the moats that mattered for 30 years in enterprise software are about to collapse. first movers will own the new infrastructure. laggards will be the ones still paying maintenance fees to vendors that can't explain their own code. take a look at your own maintenance line item and ask what an AI-native rewrite would cost instead. reach out to us to learn about what use cases we've solved across healthcare/life science, government, manufacturing, & energy: sales@8090.ai
1:10

prediction from Chamath Palihapitiya : 95% of enterprise software running in production today will be rewritten in the next 3 years. AI made rewriting cheaper than maintaining. for 30 years the ROI on rebuilding software was brutal. a 7-figure build. a 2-year timeline. 60% chance of failure. executives chose maintenance every time, even as costs compounded. AI just flipped that equation. the moats that mattered for 30 years in enterprise software are about to collapse. first movers will own the new infrastructure. laggards will be the ones still paying maintenance fees to vendors that can't explain their own code. take a look at your own maintenance line item and ask what an AI-native rewrite would cost instead. reach out to us to learn about what use cases we've solved across healthcare/life science, government, manufacturing, & energy: [email protected]

8090

273,913 views • 3 months ago

We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens
41:29

We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens

Y Combinator

67,145 views • 3 months ago

Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.” This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: “We don’t write the procedure. We declare our intent.” That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.” You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.
0:31

Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.” This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: “We don’t write the procedure. We declare our intent.” That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.” You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.

Dustin

535,455 views • 4 months ago

plz debate me my opinion is the reason indie hackers see lower revenue is because we're all indie hackers selling to indie hackers we're selling software to people who also like building software so when AI comes along and helps you build 80% of any tool in 30 minutes, of course you'll make your own version but i don't think it's right to extrapolate that thinking to outside of this "indie hacker twitter bubble" to normal everyday people i believe this is just a "indie hacker / dev" related thing we're seeing in this twitter space, that's all just sell software to people who don't know how to build software
5:01

plz debate me my opinion is the reason indie hackers see lower revenue is because we're all indie hackers selling to indie hackers we're selling software to people who also like building software so when AI comes along and helps you build 80% of any tool in 30 minutes, of course you'll make your own version but i don't think it's right to extrapolate that thinking to outside of this "indie hacker twitter bubble" to normal everyday people i believe this is just a "indie hacker / dev" related thing we're seeing in this twitter space, that's all just sell software to people who don't know how to build software

Matt Welter

41,535 views • 12 days ago

Software is Eating Labor At $300 billion in annual revenue, the global software market is huge. But it pales in comparison to the labor market, which weighs in at $13 trillion a year in just the US. The wages of nurses alone are more than twice the revenue of every SaaS company combined. Over the last 70 years, software fundamentally changed the way we record, store, and share information. Its next act is to perform the work itself and charge on outcomes, capturing trillions of dollars of value in the process. Alex Rampell explains in this talk from the 2025 a16z LP Summit. 00:00 The history of labor and automation 03:34 Software case studies 09:10 The business model of software has to change 11:39 Software will eat labor 20:08 It's not just about cost 22:48 AI creates new market opportunities
26:32

Software is Eating Labor At $300 billion in annual revenue, the global software market is huge. But it pales in comparison to the labor market, which weighs in at $13 trillion a year in just the US. The wages of nurses alone are more than twice the revenue of every SaaS company combined. Over the last 70 years, software fundamentally changed the way we record, store, and share information. Its next act is to perform the work itself and charge on outcomes, capturing trillions of dollars of value in the process. Alex Rampell explains in this talk from the 2025 a16z LP Summit. 00:00 The history of labor and automation 03:34 Software case studies 09:10 The business model of software has to change 11:39 Software will eat labor 20:08 It's not just about cost 22:48 AI creates new market opportunities

a16z

209,750 views • 10 months ago

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."
1:45

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."

Big Brain AI

211,593 views • 2 months ago

Peter Jackson talks about AI in Hollywood. Calls it “a tool” like stop-motion or CGI before and what ultimately matters is “imagination, originality” of whoever uses the tool: “I think AI — used in the right way — is a tool like any other tool. [The original] King Kong…was stop-motion and done by a person moving a rubber creature. Why shouldn't somebody on a computer using AI software be able to create their own imagery? They should. It's a tool. It's no different from many other tools that have existed over the years. But the other side of it is that it's always going to come down to the imagination and originality of the person feeding the instructions into the AI program. It's not that you're going to type in an instruction and it's going to generate your shot, and that's that. The question is: is it actually interesting? Is it funny? Is it imaginative? And are you going to stitch it together to make a narrative, a story? Some people will make really great films that way. Some people will do exactly the same process and their film will be crap, just like in the normal film industry. Whether it's AI or anything else, it comes down to whether the person behind it — or the people behind it — have originality, imagination, and an ability to entertain people.”
1:32

Peter Jackson talks about AI in Hollywood. Calls it “a tool” like stop-motion or CGI before and what ultimately matters is “imagination, originality” of whoever uses the tool: “I think AI — used in the right way — is a tool like any other tool. [The original] King Kong…was stop-motion and done by a person moving a rubber creature. Why shouldn't somebody on a computer using AI software be able to create their own imagery? They should. It's a tool. It's no different from many other tools that have existed over the years. But the other side of it is that it's always going to come down to the imagination and originality of the person feeding the instructions into the AI program. It's not that you're going to type in an instruction and it's going to generate your shot, and that's that. The question is: is it actually interesting? Is it funny? Is it imaginative? And are you going to stitch it together to make a narrative, a story? Some people will make really great films that way. Some people will do exactly the same process and their film will be crap, just like in the normal film industry. Whether it's AI or anything else, it comes down to whether the person behind it — or the people behind it — have originality, imagination, and an ability to entertain people.”

Bearly AI

43,816 views • 2 months ago