The following is a summary and article by AI based on a transcript of the video "How AI Can Help You Turn an Idea Into the Next Great App | Amjad Masad | TED". Due to the limitations of AI, please be careful to distinguish the correctness of the content.
00:04 | You know, one of my earliest memories |
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00:07 | as a kid growing up in Jordan |
00:10 | was watching my father, |
00:11 | who was a government engineer at the time, |
00:14 | set up a new computer. |
00:16 | I was just a kid, but that machine really gripped me. |
00:21 | It felt like it was magic. |
00:23 | We couldn't really afford it, but my father had a feeling |
00:26 | that this thing is going to be transformational |
00:28 | for the world and for our lives. |
00:31 | At first, like most kids, I started playing video games. |
00:35 | I figured out how to boot up video games and play them for hours. |
00:38 | But then I had a radical thought. |
00:40 | What if I could make my own video games? |
00:44 | The very notion that I could take a concept in my head |
00:48 | and make it a reality that I and other people can explore |
00:53 | was something that was really gripping. |
00:56 | Now fast-forward to my teenage years |
00:59 | and the internet has just arrived. |
01:01 | And I thought it was going to change everything. |
01:04 | I was bursting with business ideas. |
01:07 | But there was a problem. |
01:08 | I didn't know where to start. |
01:10 | Which language do you use? |
01:12 | How do you even share your creations with the world? |
01:15 | And these questions sent me down a rabbit hole. |
01:19 | The first thing I attempted doing at solving these problems |
01:23 | is putting a code editor in the browser. |
01:26 | Can you make it so that you can code anything really easily |
01:30 | and share it with the world? |
01:32 | So eventually I had a breakthrough. |
01:33 | I built the world's first online programming sandbox |
01:37 | with a lot of different languages, |
01:39 | and that went viral. |
01:41 | A bunch of companies in Silicon Valley started using it, |
01:44 | and they hired me. |
01:46 | I got a visa to the United States and I came to New York. |
01:51 | A few years later, I set eyes to go west |
01:55 | and I came to Silicon Valley to start a company. |
01:57 | And that was Replit. |
02:00 | Our dream is to make it so that anyone can turn an idea into software quickly. |
02:06 | Our vision is to empower a billion software creators. |
02:12 | But giving people an editor was not going to be enough |
02:16 | to get a billion people coding on it. |
02:18 | We've signed up millions of people |
02:20 | and today we have 25 million developers registered on our site. |
02:24 | But we need an order of magnitude jump. |
02:27 | And a couple of years ago I stumbled on this technology. |
02:31 | That's the reason we're all here. |
02:33 | Large language models. |
02:35 | And I thought this was the unlock |
02:38 | that's going to make it possible for anyone to become a software creator. |
02:42 | The interesting thing about large language models |
02:45 | is that you can transform any thought in any language, |
02:48 | any human language, |
02:50 | into software. |
02:53 | And this, I thought, is how we bring a billion software creators online. |
02:58 | So right now I want you to imagine something. |
03:01 | Let's say you're traveling in a new city. |
03:04 | And you're walking around and seeing these magnificent landmarks. |
03:10 | But you're interested in the stories around these landmarks. |
03:13 | Now it kind of takes you out of the moment to pull up your phone |
03:17 | and Google and find a Wikipedia page for that particular landmark. |
03:22 | Wouldn't it be easier if you had a map |
03:25 | with the Wikipedia links superimposed on the map? |
03:28 | Typically, an app idea like that will be just a fleeting thought, |
03:33 | and maybe you just forget about it and continue with your life. |
03:37 | Maybe you'll buy a domain. |
03:39 | And I know I've been guilty of buying tons of domains |
03:42 | that never turn into anything. |
03:44 | But in the world that I'm envisioning, |
03:47 | you could actually do something about it in that moment. |
03:50 | You pull out your phone and you talk to your AI assistant. |
03:55 | And the AI assistant is not just a passive listener. |
03:59 | It's going to start brainstorming with you. |
04:01 | It's going to make connections. |
04:03 | It'll find projects you've worked on in the past |
04:06 | that kind of look like this idea. |
04:09 | And let's say you want to give a clearer picture. |
04:11 | Well, pull out a napkin. Draw a mark. |
04:14 | Snap a picture |
04:16 | and boom, you send it to your agent. |
04:20 | Let's start strategizing and thinking of a road map. |
04:23 | Now you don't have a lot of time to chat with it, you're on the go. |
04:26 | So you send it a voice note. |
04:30 | Now you head home. |
04:34 | And you have a prototype. |
04:35 | You have a tangible thing that you could actually play with. |
04:38 | You have a starting point to make an application out of. |
04:42 | But it's not just a prototype. You also have a plan. |
04:46 | You have a plan of action that could turn this prototype |
04:49 | into a production app that you can share with the world. |
04:54 | Now, apps take time and they take money. |
04:57 | So we're going to set a budget of how much money we're going to spend |
05:00 | and how much time we're going to spend on this app. |
05:05 | To take a look behind the scenes, |
05:08 | it's not just magic, although it'll feel magical. |
05:11 | The plan editor becomes a plan source. |
05:14 | It recursively expands all the different tasks. |
05:18 | It goes out and assembles the tools. |
05:20 | And these are tools that, as developers, we use every day. |
05:23 | There's your code editor, your source control |
05:26 | and everything that we're used to. |
05:28 | And you have, of course, the code. |
05:32 | Now this is not just about coding. |
05:33 | It's about a new way of communicating with technology. |
05:37 | Being able to talk and draw and work with AI |
05:42 | to make your visions reality. |
05:45 | Let's go back to our plan. |
05:47 | We're going to run it. |
05:49 | It has four feature ideas. |
05:51 | The first one is user auth. |
05:54 | Every app needs that. |
05:56 | The second one is a way to collect feedback from users. |
06:01 | And the third one is a way to like places you've been to. |
06:05 | And the fourth one is a navigation. |
06:08 | The first branch is kind of easy. |
06:10 | The AI has seen login pages a trillion times and knows how to code it. |
06:15 | We'll take a look at the code. We'll merge it. |
06:17 | The second one is a little bit hard. Maybe it's a novel task. |
06:21 | But the AI here is prompting us |
06:23 | to add more compute. |
06:26 | So the easiest way to solve this problem |
06:28 | would be to pump in more compute. |
06:31 | Maybe that means a larger model, |
06:32 | or additional contacts or additional tokens |
06:34 | in order to solve this problem. |
06:37 | And the problem is solved. |
06:38 | The third branch is kind of easy. |
06:40 | Smooth sailing. |
06:42 | I look at it, it works, I merge it. |
06:46 | Now the fourth one is kind of difficult. |
06:50 | The AI seems confident |
06:52 | that it's not going to be able to solve this problem with more compute. |
06:56 | So it prompts me with an increased budget. |
06:58 | Now it's a hefty number, |
07:00 | and that's because it's not just going to recruit AIs. |
07:03 | It's going to go out and recruit people. It's going to post a bounty. |
07:07 | So in this case, we need a human in the loop. |
07:09 | And until we get AGI, |
07:11 | today, natural intelligence is going to be really, really important. |
07:16 | So we go out, we get a human. |
07:20 | That quota is going to also be assisted by AI, |
07:23 | and they're going to help me solve the problem. |
07:26 | I merge everything together |
07:28 | and it's just a matter of hours and 50-60 dollars or so, |
07:33 | I have an app I can deploy. |
07:35 | I deploy it, I share it with the world. |
07:38 | Now to step back a little bit, |
07:40 | notice that I didn't write a single line of code. |
07:43 | I was basically the creative heartbeat of the project. |
07:47 | I manage the project, |
07:48 | I manage both AI and people, |
07:50 | mediated by AI |
07:53 | in order to build this application. |
07:56 | And that fleeting thought that you had is suddenly an application. |
08:02 | So, you know, I can almost hear some of you thinking, like, |
08:06 | "OK, Amjad, this is this is great and all. |
08:09 | This is a fascinating vision |
08:11 | but it kind of looks too fantastic, two futuristic." |
08:14 | Well, I'm here to tell you it's kind of already happening. |
08:18 | So just a couple of weeks ago, an entrepreneur on Replit, Yoeri -- |
08:23 | he's a technical recruiter by training, he's not a software engineer -- |
08:26 | he learned enough code to start building his startup. |
08:29 | And thousands of miles across the world we have Akashdeep. |
08:32 | Akashdeep, a student in India, he comes from a farming family |
08:36 | and he can't afford a PC. |
08:38 | He has never had a PC. All he's had was his Android phone. |
08:41 | He started learning to code in Replit just a few months ago, |
08:46 | and then decided to go and start making money on the platform. |
08:50 | Now he makes more money than his entire family |
08:54 | and he can afford a lot of different computers, not just one. |
08:57 | And now he's joined forces with Yoeri to build that startup. |
09:01 | You know, today we talk about the Fortune 500, |
09:04 | and it takes a ton of employees to build a big company like that. |
09:08 | But I think in the future, |
09:11 | when AI is helping everyone build their dreams, |
09:15 | we’re going to be talking about the Fortune 5000000. |
09:18 | And again, this is not just -- |
09:21 | This is not just a fantasy. |
09:23 | We're already building this. |
09:25 | Last week we announced that we're open-sourcing our AI models, |
09:30 | and we're making it free for all our users |
09:34 | because we think that's a massive step up for all of humanity. |
09:39 | AI is not just a tool, it's a ladder that equalizes opportunity. |
09:43 | And that opens up horizons for people that are typically on the sidelines. |
09:48 | So I'll leave you with this. |
09:50 | Imagine that |
09:52 | the American dream, |
09:54 | not just -- |
09:56 | not just in one place, |
09:59 | but actually in the cloud. |
10:02 | Thank you. |
10:03 | (Applause) |