How AI Can Help You Turn an Idea Into the Next Great App | Amjad Masad | TED

88,549 views

2024-01-08 ・ TED


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How AI Can Help You Turn an Idea Into the Next Great App | Amjad Masad | TED

88,549 views ・ 2024-01-08

TED


Please double-click on the English subtitles below to play the video.

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