AI 수용: 미래의 성공을 위한 전략

### AI 혁명 수용하기: 미래의 성공을 위한 전략
* 🤖 AI 기술의 급속한 발전은 **아직 확장성의 벽에 도달하지 않았으며 개선의 잠재력이 크다**는 것을 시사합니다.
* 💡 AI의 영향력에 대해 논의할 때 **이 기술이 지나가는 트렌드가 아니라는 점**을 인식하는 것이 중요하며, 이를 이해하면 전략적 이점을 얻을 수 있습니다.
* 🚀 과거 기술 변화와 유사하게 **웹, 스마트폰, 비트코인이 부상할 때 일찍 행동한 사람들**은 상당한 이익을 얻었으며, 이는 **AI의 얼리어답터도 비슷한 성공**을 거둘 수 있음을 시사합니다.
* 🏢 많은 성공적인 벤처기업이 중대한 기술 변화의 시기에 등장하기 때문에 **예비 창업가에게는 지금이 회사를 창업할 수 있는 적기**입니다.
* 📚 이러한 환경은 학습과 혁신을 촉진하므로 개인은 자신의 업무 환경을 신중하게 고려하여 **AI를 수용하는 조직에 합류**하는 것을 목표로 삼아야 합니다.
* 💻 온라인 튜토리얼과 오픈 소스 프로젝트를 비롯한 풍부한 리소스를 통해 누구나 지금 바로 AI에 대한 학습을 시작할 수 있으며, 이는 **경력에 큰 이점**으로 이어질 수 있습니다.
* 🌟 새로운 AI 도구와 제품이 주류가 될 때까지 기다리지 말고 적극적으로 활용하는 것이 생산성과 개인적 성장을 향상시킬 수 있으므로 **이러한 능동적인 접근 방식이 중요**합니다.
* 🔍 궁극적으로 AI 기술에 대한 이해와 활용의 가치는 점점 더 높아질 것이며, 이러한 지식을 수용하는 사람은 **진화하는 환경에서 성공할 수 있는 유리한 위치**를 선점하게 될 것입니다.

AI는 산업을 혁신하고 있으며, 얼리 어답터들은 상당한 혜택을 누릴 수 있습니다.

if you just look at the rate of change and the rate of new models coming out and new techniques, yes, it doesn't seem like we've hit the scaling wall. And again, if you believe that, which I happen to believe, and you just project forwards, this stuff is going to get better and better. [Music] Yeah, hello, this is Dalton plus Michael, and today we're going to talk about AI. It's officially blowing our minds. Um, AI is working. What have you seen? Yeah, if you were watching this video, you probably also agree that AI is working. You have the knowledge, but are you leveraging this knowledge like if you are living in the future yourself? What should you be doing differently knowing what's coming right? How can you prepare for the future? What's interesting is that we've seen stuff like this happen before. Um, you know, we lived through the first um static web pages. We lived through the dynamic web apps. We lived through smartphones happening. We lived through Bitcoin happening. Knowing that this is not a fad but a

trend early is maybe one of the most strategic things you can know. So like if you're watching this video, you have a gold mine, literal gold mine, um, of insight on how the world's going to change. And if you sit on information, you're not going to be able to take advantage of it. If you change something right now or more than one thing right now, um, you might look back 10 years from now and say, Oh wow, like my life worked out, like that was really, really great. So um, let's go through some of the things you should do just to kind of give you some mental context. We can look back in time a little bit and we could say, Imagine that you were using the first web browsers and you were using the first websites and you like, 'Oh, this is a thing.' Imagine most people didn't have the web. No, there were some folks that were very early on that stuff and they had a lot of extra leverage, a lot of leverage, right? Imagine you were one of the first users of Gmail and you

were like, Oh my God, like a really responsive dynamic web app that's just like instantly, like, Oh crap, imagine you one of the first users of iPhone, yep. Imagine you were one of the people who saw Bitcoin come out its first year, yep. Like, these are the kinds of, like, there were ways at the time with the benefit of hindsight to leverage that information, yes, to profoundly improve your lives or impact your lives, right? You were early, and you were like, Oh, this seems like a good thing, and you acted on it. It can completely change your life, so you are early. Let's talk about what you should do, yep, right? So first, if you were ever interested in starting a company, I can't really imagine a better time, yep. Um, I would argue that, like, most of the best companies were created after this kind of tech sea change, yep. Seeing the SE change and then dreaming what we could do with it. So, like, if you are ever inclined to start a company and people

are saying to you, Oh, this AI thing is overhyped, or like, Oh, there's too many. It's like, No, again, you can look to history. You needed there to be enough users and the tech to get good enough for internet startups, yes, to really take off. If you started an internet startup in '94, '95, that would have been too early, I think, yes, but it's much better doing it later. Same with all these other platform shifts, is there's now enough of an install base, there's now the models are actually good enough, the tools are good enough, the INF is good enough, yeah, it still is like a good time, yeah. You can build applications that were unimaginable, and like, you know, we won't go into too many details, but like, we literally seen YC companies be transformed in the last 6 months, like businesses that weren't working, like started working, started working, and margins that were underwater are now suddenly positive. Customers that were Loop War are now like, You're selling me

magic. I would like to buy more of that, so um, don't let the haters like, like, it's like, like, imagine the haters that were like, Don't buy Bitcoin, it's a fad, it's like going to go to zero. It's like, like, N, you know, like, those were expensive, that was expensive advice to follow exactly. I remember having a friend being like, Blackberry will never lose to iPhones, like, Oh, like, you know, like, dud, like, don't listen to those people. Um, let's say, uh, and you know, of course, we should throw in a plug, right? YC applications are open, you know, they're four batches a year, so um, we can certainly help if you're interested. Um, let's say you don't want to start a company, probably should be con considering where you want to work, knowing this knowledge. I would think really hard about where you choose to work um, you want to work somewhere that is adopting these tools, yes, and is going to benefit from the adoption of the tools, and where you could be surrounded

by people that are um very smart at adopting AI tools that you can learn from versus the folks that are just hoping this all goes away or that the AI good luck with that there a lot of people that are hop the internet would go away yeah yeah a lot easier for business if eCommerce didn't exist a lot of newspapers that was the plan you know um anyway you also want to work somewhere where you could be mentored by the folks that are really excellent right if you're just imagining this is going to be very important skills in the future and for how we live our lives um working in a place where the tools are great and the people using the tools are also great and can teach you about them that is really smart right again imagine it's 2001 and you could work at a place like Google or another internet native company that was on The Cutting Edge of yes building internet software versus some insurance company or something you know even if it's a programming job there's very difference

on how much you could learn and upskill yourself between those types of jobs, and I would argue that you know startups are adopting these tools faster than big companies. So, there's a really interesting question of like, are you going to get more experience being a first 10 or first 20 employee at a startup that's using AI versus working at that big company where using AI is a political decision and a PR decision and a bureaucratic nightmare? Like, be careful because like the learning that's happening in startups right now is far outstripping what's happening in most large companies. Of course, there are exceptions, but in most, let's talk about skills, right? I remember there was this always this funny joke within the first year of the App Store coming out where some big company was hiring iOS developers, and they were like, Oh, you need to have five years of experience building iOS apps, and everyone was like, Came out a year ago. Like, but what's really cool at this moment is that like if you start

learning today. You're almost at Ground Zero, yep, and like there's so much leverage, right? High School, College, post-colle, um, you know, you pointed this out when we were talking before, um, dropping everything to become an iOS Developer in 2009-2010 was a strong career smart idea. Like, if you saw the iPhone come out, you're like, Oh, this is cool. I'm going to go to like boot camp and teach myself to code and become an iOS programmer. Yeah, that was a really good career move. Or if you were a web developer inside of a company and they were spinning up a new iOS team, Jo, like being SM, that was a very smart move. Or just building an app on the side, like a lot of people built side projects, yes, and that's how they learned to become iOS developers, and they benefited in tremendous ways. And I argue at any stage, like I said, pre-ol College, post-colle, you can upskill yourself. Like, I think another thing that's really cool is, again, this is meta, you're probably

watching this on YouTube, there are amazing YouTube videos explaining how all the stuff worked. In prior major platform shifts, you had to read books or know people or go to the right school or something like that. You can go watch people building in public, building models, explaining how Transformers work, you name it. There's a lot of stuff that's open source, and so if you are technical or aspiring to be technical, which you should be, go watch the videos and learn how all of this stuff works from scratch. It will profoundly help you for the rest of your life. I can't think of a downside to knowing how all this stuff works. No downside, seriously. And I think what's so funny is like all of the trends, tech trends that we mentioned or break those we mentioned before, all of them happen in public. This isn't happening in some back room, you know, have access to Y. The issue is people being skeptical. It's not that it's not available for you to learn, so no, I think that's incredibly

preent yeah there's no gatekeepers to learn this stuff. That's what I'm trying to say. The only gatekeeper is ambivalence, yes, or cynicism, or hearing negativity and buying into it. And negative people don't tend to get lucky, nope. You know, they don't tend to have really great stuff happen to them on accident. So, you know, maybe lean into positivity on this one. Yes, we're giving you the hint. I would say next, become a user, right? Like many of these products are available. And, you know, I remember previous waves of technology where people were like, Oh, well, it's not ready yet. Oh, I'll wait. Like, oh, I don't need to switch. And I think this is different. You should be actively looking for better products. Like, I mean, we remember when Google came out and it was fundamentally a better web search product. And, like, there were a whole bunch of people like, Oh, web search, blah, blah, blah, blah, blah. And it's like, No, people had access to Google, got more done. And so, if you've been

waiting sign up and and it's worth the money. Yep, like it's worth paying money for. I mean, I when I was um a Founder working on consumer stuff, I would download every consumer app that came out literally and I would study every onboarding flow and I would study everything about the service. I would study the viral loops and just constantly be trying to challenge myself to make sure I knew more than anyone else about what the new products were. Yeah, and so and what they could do. Yeah, and so there's again I don't know why you wouldn't be looking at every AI coding tool that comes out or every workflow tool that comes out and signing up and trying to earnestly use them and try to try to use them to get your job done, not just to research them as startups. Yeah, um be a real user, be a real user and you're going to learn again you will be living in the future. Yeah, and and I would say this like there is a bit of a learning curve like I remember teaching my dad how to use

Google, and it was counterintuitive that every question he had for me on the phone. All I would do is type that question in Google and produce an answer like that wasn't, you know, that wasn't intuitive to him. There are some learning CS, like, you know, I was having this hilarious back and forth with an Elm agent, and I was realizing I am using this incredibly different than I use Google. Like, the things that I type, how I respond to answers, like, all of it is different, and I got to be comfortable just kind of going, It's a small learning curve with it's a learning curve. And then maybe last but not least, don't do nothing. Like, I think that's the, like, maybe the meta point of this entire video. Change something, yeah, in response to this, yeah, you know, something that other people don't know. Yes, capitalize on that knowledge. Don't sit on it. Like, it's the knowledge isn't going to have any interest. You got to do something with the knowledge, and man, the earlier you do it, the more leverage you're going to.

have now a lot of people talk about the idea that maybe in this world being technical, being a programmer, isn't strategic. What do you think about that? Yeah, I mean, this is an opinion we all don't know, but um, I think all of the tools getting better means that some aspects of being a programmer, um, like memorizing all the APIs, is maybe okay. That part is less valuable, but I would argue knowing how all of this stuff works is going to be just more and more of a premium in modern society. Yes, 'cause someone has to fix this stuff when it breaks, and someone has to understand, yes, what the heck the AI is doing. Like, to the extent um, all of your technical knowledge atrophies, and you have no idea how all of this stuff works, it's just like a magic box. No, that is not a great place to be, and so in my opinion, really understanding how this stuff works at a low level will um, increase the value of you being a technical person. Yes, massive, because no

one else will know how to debug it when things go wrong. Yes, and just because you start using cursor to program does not mean that people that have never programmed before are going to be programming just as well as you. And so again, I know there's different opinions. Maybe some people, I've heard people predicting the death of programming as a career for many, many, many years, our whole lives before we were born. Again, maybe I'm wrong. I just, I wouldn't make that bet. I would bet on being extremely technical, just having a premium that will increase over time with the proliferation of these tools. And that has been, again, backwards looking. That has always been the case. Yeah, and if you're not technical, I can't imagine. I mean, it's always been strategic to work with someone who is a programmer. It's still incredibly strategic. Never has it been more important to have a technical co-founder. If you're not technical, last point here, right? We are seeing YC companies doing amazing things with the

current models. We're kind of giving you a straightforward observation, not a prediction, but there is this question: Is there another step-change improvement coming? And, you know, let's push the issue of AGI aside. I think there's a big gap between step-change improvement and an AI, but like, what is your prediction? How likely do you think it is that we have another step-change that'll be here in the next year or two years? It seems like we are not near the wall, no. And if you just look at the rate of change and the rate of new models coming out and new techniques, yes, um, it doesn't seem like we've hit the scaling wall. And again, if you believe that, which I happen to believe, and you just project forwards, this stuff is going to get better and better. Yeah, and it already is getting, it already works. Yeah, so yeah, hold on to your hat. Um, yeah, I think this is one of those moments. We've seen it with internet adoption or smartphone adoption, where it's like when the

products get good. They go through this s-curve where they start getting good. And I think that smart founders would assume that these products or the tools they have access to will get better over time. And I hate describing where that limit is. I think it's irrelevant really where that limit is, but like it's just an argument for why it's even more strategic to get involved today because like you're riding on a wave. And almost everyone we know, those who are successful, found the right wave and rode it. And this is a good one. All right, great chat. Sounds good. Thanks. [Music]

The AI Future Has Arrived: Here's What You Should Do About It

Videos to help you build a successful startup. Subscribe for startup advice, founder stories, and a look inside Y Combinator.

What is Y Combinator?
We invest $500,000 in every startup and work intensively with the founders for three months. For the life of their company, founders have access to the most powerful community in the world, essential advice, later-stage funding and programs, recruiting resources, and exclusive deals. 

Visit ycombinator.com to learn more.

Video Team:
Zach Both - Video and Content Lead
Ryan Loughlin - Senior Producer



Y Combinator

AI는 빠르게 진화하고 있으며 새로운 모델과 기술이 끊임없이 등장하고 있습니다.

AI의 영향력을 유행이 아닌 장기적인 트렌드로 인식하면 전략적 이점을 얻을 수 있습니다.

회사를 창업하든 AI 지식을 활용하든 지금 조치를 취하면 미래에 삶을 변화시키는 중요한 기회를 얻을 수 있습니다.

기술 분야에서 타이밍과 채택의 중요성

현재의 AI 트렌드는 과거의 기술 붐과 비슷하며, 적절한 사용자 기반과 개선된 도구로 인해 스타트업에게는 지금이 중요한 시기입니다.

지난 6개월 동안 많은 기업이 혁신을 이루었으며, 어려움을 겪던 기업들도 AI를 도입하여 번창하고 있습니다.

이러한 도구를 수용하고 전문가의 멘토링을 제공하는 직장을 선택하는 것은 미래의 기술과 기회를 형성하는 데 중요한 역할을 할 것이므로 필수적입니다.

스타트업과 AI 시대의 업스킬링

스타트업은 AI 도구를 빠르게 도입하여 대부분의 대기업보다 더 가치 있는 학습 경험을 제공하고 있습니다.

지금은 YouTube 동영상과 오픈 소스 자료와 같은 리소스가 널리 이용 가능한 특별한 학습 및 기술 향상을 시작할 수 있는 기회입니다.

기술 트렌드의 대중성과 풍부한 학습 리소스로 인해 기술과 지식을 습득하기에 이상적인 시기입니다.

기술 세계의 변화와 학습 수용하기

새로운 기술을 배우는 데는 게이트키퍼가 없으며, 부정적인 시각과 양면성이 발목을 잡을 수 있습니다.

새로운 제품을 적극적으로 사용하고 탐색하는 것은 상당한 이점을 제공할 수 있으므로 앞서 나가기 위해 매우 중요합니다.

학습 곡선을 수용하고 습득한 지식을 바탕으로 조기에 실행에 옮기면 더 큰 활용과 성공으로 이어질 수 있습니다.

프로그래밍에서 기술력의 가치

도구가 점점 더 정교해지면서 API를 외울 필요는 줄어들 수 있지만, 그 작동 방식을 이해하는 것은 더 중요해질 것입니다.

문제가 발생했을 때 문제를 해결하고 디버깅하려면 기술 지식이 필수적입니다.

기술 전문 지식에 대한 수요가 증가할 것이므로 프로그래머와 협력하고 기술 공동 창업자를 두는 것이 전략적인 선택이 될 것입니다.

변화의 속도와 새로운 기술이 계속 등장함에 따라 향후 1~2년 내에 AI 모델의 또 다른 단계적 개선이 이루어질 것이라는 믿음이 있습니다.

발표자는 우리가 확장성의 벽에 부딪히지 않았으며 시간이 지남에 따라 AI 도구가 더 좋아질 것이라고 주장합니다.

현재의 상황을 과거의 기술 도입과 비교하며, 지금 참여하는 것이 개선의 물결을 타기 위한 전략이라고 제안합니다.