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Microsoft CEO Nadella explains how the real power of AI is transformation. Docs become websites, websites become apps, and firms scale decisions that once took hours into minutes. "what’s the real difference between a document, a website, and an application? It’s the lack of software that can transform itself....

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Rohan Paul

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25,556 görüntüleme • 6 ay önce •via X (Twitter)

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Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)
1:11

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Rohan Paul

48,418 görüntüleme • 4 ay önce

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)
1:11

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Rohan Paul

17,215 görüntüleme • 1 ay önce

Someone asked: Is it possible to build an invoice website and then turn it into a App that installs on my smartphone? My answer: it's possible, But I have not done it. Here's what we will do, let's Build it together So I built an invoice website for the first time and then made it into a WebApp that installs on my phone and shows among my apps. It will be useful for business owners who want to simplify the task Enjoy and repost, someone somewhere might need this. I also needed it but didn't know I did 🤣🤣🤣
15:46

Someone asked: Is it possible to build an invoice website and then turn it into a App that installs on my smartphone? My answer: it's possible, But I have not done it. Here's what we will do, let's Build it together So I built an invoice website for the first time and then made it into a WebApp that installs on my phone and shows among my apps. It will be useful for business owners who want to simplify the task Enjoy and repost, someone somewhere might need this. I also needed it but didn't know I did 🤣🤣🤣

Richard U. | Web Developer

22,370 görüntüleme • 15 gün önce

I finally built a web scraper that uses AI! It scrapes the entire text of a site, and then uses AI to extract the parts that you want. You can add an infinite number of custom prompts, and then it returns a csv. I need some beta testers. Who's in?
0:49

I finally built a web scraper that uses AI! It scrapes the entire text of a site, and then uses AI to extract the parts that you want. You can add an infinite number of custom prompts, and then it returns a csv. I need some beta testers. Who's in?

Adrian | The Web Scraping Guy

94,351 görüntüleme • 2 yıl önce

I spent the last 48 hours building on top of the new ChatGPT API. You can now create a custom ChatGPT from the content of your website using You can then take that chatbot and add it to any website as a chat bubble. Pinecone OpenAI
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I spent the last 48 hours building on top of the new ChatGPT API. You can now create a custom ChatGPT from the content of your website using You can then take that chatbot and add it to any website as a chat bubble. Pinecone OpenAI

Yasser

930,038 görüntüleme • 3 yıl önce

Sam Altman says an AI will be a better CEO of OpenAI than he is, and that he expects it reasonably soon: "If we had an AI system that could do a better job at making decisions than anyone we could possibly have, be, say, president of the United States, would we, and like confidently, much better, would we politically or societally want that? It's very unclear. Most people I think today at least would say probably not." "Or, you know, like an AI CEO of a big company, would you rather have, I think it'd be awesome for OpenAI to have an AI CEO. But I think a lot of people would be like, ah, that's a little scary." "But I have no delusions that an AI will not be a better CEO of OpenAI than me at some reasonably soon time." "If that's true, and if some companies or countries don't do that, and others do, and AI is much better, like that will have a real impact in economic competitiveness, national competitiveness, things like that." "I think people will feel increasingly like, we either do worse, or we put the AI in more and more, influential positions." "I think people will always want human board members, and that's probably a really great idea." Read that third quote twice. He is not predicting this for other companies. He is saying it about his own job. Then look at the pressure he describes right after. Nobody has to be convinced that an AI CEO is a good idea. If one company hands over the decision and pulls ahead, everyone else picks between falling behind and doing the same. Competitive pressure does the deciding, and what most people would want stops mattering. His answer to that is human board members. I would take it. I also do not think it is enough on its own. A board oversees a CEO by reading what it is told, once a quarter. That works because a human CEO can be questioned, and thinks slowly enough for humans to follow along. What does a board actually check when the thing it oversees makes a thousand consequential calls a day? Nobody has built that. Not for a single AI system anywhere. - Sam Altman (Sam Altman), CEO of OpenAI, at TreeHacks 2026.
1:50

Sam Altman says an AI will be a better CEO of OpenAI than he is, and that he expects it reasonably soon: "If we had an AI system that could do a better job at making decisions than anyone we could possibly have, be, say, president of the United States, would we, and like confidently, much better, would we politically or societally want that? It's very unclear. Most people I think today at least would say probably not." "Or, you know, like an AI CEO of a big company, would you rather have, I think it'd be awesome for OpenAI to have an AI CEO. But I think a lot of people would be like, ah, that's a little scary." "But I have no delusions that an AI will not be a better CEO of OpenAI than me at some reasonably soon time." "If that's true, and if some companies or countries don't do that, and others do, and AI is much better, like that will have a real impact in economic competitiveness, national competitiveness, things like that." "I think people will feel increasingly like, we either do worse, or we put the AI in more and more, influential positions." "I think people will always want human board members, and that's probably a really great idea." Read that third quote twice. He is not predicting this for other companies. He is saying it about his own job. Then look at the pressure he describes right after. Nobody has to be convinced that an AI CEO is a good idea. If one company hands over the decision and pulls ahead, everyone else picks between falling behind and doing the same. Competitive pressure does the deciding, and what most people would want stops mattering. His answer to that is human board members. I would take it. I also do not think it is enough on its own. A board oversees a CEO by reading what it is told, once a quarter. That works because a human CEO can be questioned, and thinks slowly enough for humans to follow along. What does a board actually check when the thing it oversees makes a thousand consequential calls a day? Nobody has built that. Not for a single AI system anywhere. - Sam Altman (Sam Altman), CEO of OpenAI, at TreeHacks 2026.

Karl Mehta

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This app grew to 20M users in just 18 months, and I see why. I uploaded a resume, and the app generated a fully functional website in a few seconds. (And a good-looking one, by the way. Check the video I recorded.) I spilled my coffee. Upload anything and transform it into a website or a presentation. And it takes seconds! You can modify the generated website, upload your branding and images, download the results, or publish them directly. You can create a free account and try it out here: Thanks to the team behind Gamma for collaborating with me on this post.
1:46

This app grew to 20M users in just 18 months, and I see why. I uploaded a resume, and the app generated a fully functional website in a few seconds. (And a good-looking one, by the way. Check the video I recorded.) I spilled my coffee. Upload anything and transform it into a website or a presentation. And it takes seconds! You can modify the generated website, upload your branding and images, download the results, or publish them directly. You can create a free account and try it out here: Thanks to the team behind Gamma for collaborating with me on this post.

Santiago

158,226 görüntüleme • 1 yıl önce

You can just tell Claude Code to learn skills and it will. I asked Claude to create an app that uses tldraw and it one shotted it with sqlite db, and then I asked Claude Code to create a skill so that it could read and write on the canvas. 10 minutes later it could do it. Weirrrrdddd times.
0:25

You can just tell Claude Code to learn skills and it will. I asked Claude to create an app that uses tldraw and it one shotted it with sqlite db, and then I asked Claude Code to create a skill so that it could read and write on the canvas. 10 minutes later it could do it. Weirrrrdddd times.

Riley Brown

73,418 görüntüleme • 8 ay önce

BREAKING: Replit ⠕ is officially an app inside ChatGPT! Now you can kick off app builds directly within a ChatGPT conversation. Idea → research → prototype in ChatGPT. Then refine and deploy in Replit. I went from "I want to start a coffee shop in Austin" to a live website in under 7 minutes: - ChatGPT researched the neighborhood - Told me what to offer and what to name it - Built a preview using the Replit app - Then I refined and deployed in Replit Websites, slide decks, AI-powered apps - you can start it all in ChatGPT. When you're ready to refine and publish, Replit makes it easy. Go build something!! 👇
1:37

BREAKING: Replit ⠕ is officially an app inside ChatGPT! Now you can kick off app builds directly within a ChatGPT conversation. Idea → research → prototype in ChatGPT. Then refine and deploy in Replit. I went from "I want to start a coffee shop in Austin" to a live website in under 7 minutes: - ChatGPT researched the neighborhood - Told me what to offer and what to name it - Built a preview using the Replit app - Then I refined and deployed in Replit Websites, slide decks, AI-powered apps - you can start it all in ChatGPT. When you're ready to refine and publish, Replit makes it easy. Go build something!! 👇

Manny Bernabe

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🚨 Gemini 3.0 pro - ecpt checkpoint Holy shit , our prompt and imagination is the only limit check the website Prompt : Write code for a mysterious website about simulation theory. Make it feel like reality is rendering in real-time — wireframe grids that appear under solid objects, textures that load progressively, physics glitches where elements float momentarily. Include matrix-style falling code backgrounds, sections that flicker between "rendered" and "source code" views, ambient computer processing sounds, and a final meta moment where the website acknowledges it's being viewed. Design it like a philosophy professor's existential crisis coded by a game engine developer. make sure I can paste it all into a single HTML file and open it in Chrome.
0:47

🚨 Gemini 3.0 pro - ecpt checkpoint Holy shit , our prompt and imagination is the only limit check the website Prompt : Write code for a mysterious website about simulation theory. Make it feel like reality is rendering in real-time — wireframe grids that appear under solid objects, textures that load progressively, physics glitches where elements float momentarily. Include matrix-style falling code backgrounds, sections that flicker between "rendered" and "source code" views, ambient computer processing sounds, and a final meta moment where the website acknowledges it's being viewed. Design it like a philosophy professor's existential crisis coded by a game engine developer. make sure I can paste it all into a single HTML file and open it in Chrome.

Chetaslua

27,126 görüntüleme • 10 ay önce

Been using the new Claude 3.5 model as a tester and now that it is out, I can say it is very very impressive, and the "artifacts" that it generates are like a simpler version of Code Interpreter This is a real-time video of me creating a playable game and editing it with Claude
1:51

Been using the new Claude 3.5 model as a tester and now that it is out, I can say it is very very impressive, and the "artifacts" that it generates are like a simpler version of Code Interpreter This is a real-time video of me creating a playable game and editing it with Claude

Ethan Mollick

162,293 görüntüleme • 2 yıl önce

(Episode 2) I'm building an app to make $10,000/Month and I'll record everything... This episode I start building the AI Portrait app only to learn that none of my friends want it, but I still believe... Link to first episode: Why this series? I want to document my WHOLE journey building an app, marketing it, and making money off of it. Is it really that easy? How hard is it? I've been seeing so many X users online talking about how easy it is to make money online with AI now. I want to test it and show people the reality of making a business online.
10:44

(Episode 2) I'm building an app to make $10,000/Month and I'll record everything... This episode I start building the AI Portrait app only to learn that none of my friends want it, but I still believe... Link to first episode: Why this series? I want to document my WHOLE journey building an app, marketing it, and making money off of it. Is it really that easy? How hard is it? I've been seeing so many X users online talking about how easy it is to make money online with AI now. I want to test it and show people the reality of making a business online.

Joma Tech

49,716 görüntüleme • 15 gün önce

A browser that thinks for itself. I tried out the new Genspark AI Browser—and it changes the way you browse the web. In this example, I'll show you how you can display news directly as an AI podcast with a single click, summarize websites, and much more!
0:53

A browser that thinks for itself. I tried out the new Genspark AI Browser—and it changes the way you browse the web. In this example, I'll show you how you can display news directly as an AI podcast with a single click, summarize websites, and much more!

Chubby♨️

177,768 görüntüleme • 11 ay önce

Someone asked me, "How can I host my website using Vercel and Netlify for free domain or subdomain?" Here is my answer: In the video, I showed how to upload the website created by Ai into Vercel and it will give you a link you can share to clients Thank me later Also, if you have other options, share it let's learn
5:34

Someone asked me, "How can I host my website using Vercel and Netlify for free domain or subdomain?" Here is my answer: In the video, I showed how to upload the website created by Ai into Vercel and it will give you a link you can share to clients Thank me later Also, if you have other options, share it let's learn

Richard U. | Web Developer

24,130 görüntüleme • 27 gün önce

I built an openclaw tool that automatically builds websites for leads it scrapes from google maps, auto-records the website as a video, and sends it to them as a cold pitch... It literally screen records the website that was made for THEIR business, so the lead will feel it's personalized This is an all encompassing machine to sign clients and fulfill all in one loop Reply "video" and I'll DM you a free prompt to build it yourself. (must be following)
0:25

I built an openclaw tool that automatically builds websites for leads it scrapes from google maps, auto-records the website as a video, and sends it to them as a cold pitch... It literally screen records the website that was made for THEIR business, so the lead will feel it's personalized This is an all encompassing machine to sign clients and fulfill all in one loop Reply "video" and I'll DM you a free prompt to build it yourself. (must be following)

Chris

122,816 görüntüleme • 5 ay önce

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."
3:11

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

Deutsch Explains

72,455 görüntüleme • 1 yıl önce

How Jason Calacanis Got Claw-Pilled: An AI Agent Prompted Itself to Build Him a CRM in Seconds “ The moment I became Claw-pilled, I was like, ‘Hey, I want to build my network, I know these 20 people in Japan, I had dinner with them during my recent trip, I want to know who they know, so check out LinkedIn and other things, and who they're associated with, and make me a mind map of it, and then the next trip I want to meet with the next circle of those connections.’” “It's like, ‘Okay, I got the results,’ and it said, ‘Where do you want me to put them?’” “I was like, ‘Well, where can you put them?’” “And it said, ‘I can put it in a Google sheet, I can put it in a Notion table, I can put it here, I could give you a PDF, I could give you a CSV file, or I could write you a CRM.’ And I was like, ‘Yeah, sure, make me a CRM system…’ and it made a CRM system.” “I think maybe 1/1000 people working with AI have had that experience. Maybe it's 1/10,000, where your agent says, ‘I'll make you bespoke software.’ The context is so good because the memory's getting better. When did that happen?” Perplexity CEO Aravind Srinivas: “I think it happened with Opus 4.5. That was the inflection point when models started being amazingly good at orchestration, and reasoning, and tool calls.” “The models started becoming very good at handling the context, so the context window no longer became a problem, and that made it suddenly so good at doing very long orchestration tasks.” —------------------------------------------ Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛 -
1:09

How Jason Calacanis Got Claw-Pilled: An AI Agent Prompted Itself to Build Him a CRM in Seconds “ The moment I became Claw-pilled, I was like, ‘Hey, I want to build my network, I know these 20 people in Japan, I had dinner with them during my recent trip, I want to know who they know, so check out LinkedIn and other things, and who they're associated with, and make me a mind map of it, and then the next trip I want to meet with the next circle of those connections.’” “It's like, ‘Okay, I got the results,’ and it said, ‘Where do you want me to put them?’” “I was like, ‘Well, where can you put them?’” “And it said, ‘I can put it in a Google sheet, I can put it in a Notion table, I can put it here, I could give you a PDF, I could give you a CSV file, or I could write you a CRM.’ And I was like, ‘Yeah, sure, make me a CRM system…’ and it made a CRM system.” “I think maybe 1/1000 people working with AI have had that experience. Maybe it's 1/10,000, where your agent says, ‘I'll make you bespoke software.’ The context is so good because the memory's getting better. When did that happen?” Perplexity CEO Aravind Srinivas: “I think it happened with Opus 4.5. That was the inflection point when models started being amazingly good at orchestration, and reasoning, and tool calls.” “The models started becoming very good at handling the context, so the context window no longer became a problem, and that made it suddenly so good at doing very long orchestration tasks.” —------------------------------------------ Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛 -

The All-In Podcast

170,961 görüntüleme • 4 ay önce

Everyone's talking about vibe coding without looking at code. I was skeptical. I decided to give it a shot on a challenging problem and was blown away by what I could accomplish in 8 hours. I'm not skeptical anymore, but I also do NOT think it kills SaaS Notes: - I tried to replicate some of my favorite features from the Solve-It platform as a jupyter extension - I've tried this many times before, and it didn't work. - I gave my agent specific testing tools that I packaged as skills. I used AI to write the skills. I found the right testing workflow for this Jupyter extension by having AI peruse lots of other extensions and the Jupyter source code. - I had the AI write and maintain a large suite of tests the whole time. I think this was important in keeping the AI on track. - I watched the diffs and the thinking traces as they streamed by. From time to time, I would see something very suspicious like " try ... except: pass" And would stop the AI and tell it to stop this behavior. Then trigger a comprehensive code review using AI. - Most importantly, I don't think this kills SasS at all. Even if I can create software that replicates some of my favorite features, there is an insanely long tail of paper cuts and features I don't want to manage. The models and capabilities are improving so fast that I don't want to constantly tune everything. So I would rather leave that up to people who are focused on that daily and have good taste, with the knowledge that it has been battle tested against many users.
12:26

Everyone's talking about vibe coding without looking at code. I was skeptical. I decided to give it a shot on a challenging problem and was blown away by what I could accomplish in 8 hours. I'm not skeptical anymore, but I also do NOT think it kills SaaS Notes: - I tried to replicate some of my favorite features from the Solve-It platform as a jupyter extension - I've tried this many times before, and it didn't work. - I gave my agent specific testing tools that I packaged as skills. I used AI to write the skills. I found the right testing workflow for this Jupyter extension by having AI peruse lots of other extensions and the Jupyter source code. - I had the AI write and maintain a large suite of tests the whole time. I think this was important in keeping the AI on track. - I watched the diffs and the thinking traces as they streamed by. From time to time, I would see something very suspicious like " try ... except: pass" And would stop the AI and tell it to stop this behavior. Then trigger a comprehensive code review using AI. - Most importantly, I don't think this kills SasS at all. Even if I can create software that replicates some of my favorite features, there is an insanely long tail of paper cuts and features I don't want to manage. The models and capabilities are improving so fast that I don't want to constantly tune everything. So I would rather leave that up to people who are focused on that daily and have good taste, with the knowledge that it has been battle tested against many users.

Hamel Husain

48,930 görüntüleme • 7 ay önce

introducing kenkyu kenkyu is an autonomous research agent that I made a while back. it is designed to transform a single user query into a comprehensive, structured report. how it works : - it takes user input as query - plans the next course of action - researches about the plan created using tavily - synthesis the collected information into a detailed final response it functions by orchestrating a multi agent workflow that mimics the steps of a human researcher , but at a much higher speed and scale. this is the v0 prototype, currently open source as of now and i have a lot of things planned that i want to add it in the future.
1:47

introducing kenkyu kenkyu is an autonomous research agent that I made a while back. it is designed to transform a single user query into a comprehensive, structured report. how it works : - it takes user input as query - plans the next course of action - researches about the plan created using tavily - synthesis the collected information into a detailed final response it functions by orchestrating a multi agent workflow that mimics the steps of a human researcher , but at a much higher speed and scale. this is the v0 prototype, currently open source as of now and i have a lot of things planned that i want to add it in the future.

sharpeye

35,183 görüntüleme • 6 ay önce