쉐도잉 연습: Anthropic just proved AI isn't getting better - 영상으로 영어 말하기 배우기

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Everybody hates Opus 5 right now, but you need to know that this is much bigger than Opus 5
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And that no model is gonna fix it ever
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and I'll get to that in a second
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because let's talk about Opus 5 It is driving everyone fucking
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crazy You give it some trivial task like rename this variable
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and it goes and it does it amazingly well But then it goes one thing worth knowing No,
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no, there's nothing fucking worth knowing about renaming a function level variable But it's already started.
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It's committed to one thing worth knowing Before it had any idea what the thing was.
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It's like the annoying business casual guy in a meeting who has to say something Just has to he goes
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So here's the thing guys to buy himself three seconds
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while his brain tries to generate a thing to say
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And now he's at a runway and everyone's looking at him and he has to say something so he goes
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Renaming things can affect other places where that thing is named.
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Thank you.
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Thank you fucking Gary I did not know
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that I've only been doing this shit for 20 years
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And the funny thing is it's not even like some system prompt
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that Boris can go and fix It's not some setting
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that could be turned off some meat bag at some point
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in some miserable Sweatshop of an office building in some third
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world country where they have humans rate responses for post training
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Kept clicking thumbs up on it's worth noting that
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and now the fucking models cursed this one fuckers Personality imprinted on a trillion dollar language model
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and now his sperm is in literally everything we do
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and the problem is that Sometimes it does actually catch something worth noting
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so you can't actually fucking ignore it it you have to read every caveat after every little change
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because it'll be like one plus one equals two your database migration fell through
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and it's making people rip their fucking hair out
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but that's not even the worst of it i've been working
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on a little project i'll plug the ad at the end of this video
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but i've been working with a lot of ai the past several weeks to build this
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and i actually chose to build with ai
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because i want to be on the ground floor of the sausage I wanna see what the fuck is going on.
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And I noticed something.
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I noticed that AI is fast as fuck.
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Yes, it gets your intent, it implements the future, blah, blah, blah.
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But there's a very, very deep limitation
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and it's something that's intrinsic to the technology
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and it won't be solved with fable 6 or 7
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or 10 You go and you give it some serious tests some big-ass feature that touches a shit ton of things
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Something that would probably take you personally a week to reason through and build
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and this little coke-fueled algorithm this fucking speedy Gonzales ass motherfucker thinks about it for maybe eight seconds
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and it's already editing files.
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And everyone's like, oh my God, it's so fast.
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But shut the fuck up for a second and listen.
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Half of software engineering in the first place is figuring out where and what to edit.
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This is called architecture.
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And when this fucker picks four files in two seconds, your entire code base's fate has already been decided.
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And how does it pick?
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It does a little grep search.
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Like a hot dog eating contest for code files.
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It searches around for a couple milliseconds and reads four files and your dumb ass watches it like, Wow, it's so smart.
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No, you fucking idiot.
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It found the absolute minimal set of files it needed to make the change
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so that it could finish faster than you after six beers.
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And you watch it happen and you're like, is this shit AGI?
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It's like a contractor who pulls up to your house, opens three kitchen drawers and goes, Yeah, I got this.
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And then puts a load-bearing wall through your kid's fucking bathtub.
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This is absolutely not how humans work.
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When you change something big in a code base you're comfortable in, you're not searching.
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You already know.
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You know that touching this one file is gonna make the billing microservice lose its mind.
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And it's not even because you just read the billing service code yesterday or something.
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It's because the billing service fucking molested you last quarter and your anus is still sore.
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A language model has never been buttfucked before.
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And dare I say, I do not believe it is on Dario's roadmap.
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Sam's though, maybe.
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I don't know.
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It's like a guy who read chapter one in a book and has now decided to write chapter 12.
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And chapter 12 comes out beautiful, really.
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But it has nothing to do with the fucking book.
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And I know what you're thinking.
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That if this is just a context problem, well, just put the whole fucking code base in the context.
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And you can.
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You can literally do that.
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for approximately the annual GDP of Portugal.
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And you'd still get one thing worth knowing that is absolutely not worth knowing.
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And then you'll have some asshole on X who'll tell you he's figured it all out.
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Some new trick to compress your entire code base into a fucking poem or something.
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Some new prompt or skill that makes Claude simulate an orgasm which leads to 69% better code quality.
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But again, compression, which is what all documentation is, is the problem.
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It's a map and the map is not the territory.
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And let's be honest with each other, you used AI to write the map.
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So look, everybody's here fighting about Opus and Fable and whatever the fuck OpenAI is doing, and I've used all of the newest shit recently.
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If you don't give a shit about reading the code, it's fine and good and fast.
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But if everything we fucking learned about software engineering principles over the last, I don't know, 50 fucking years still matter, and I can't imagine why they wouldn't,
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then nothing Dario jizzes into the models is gonna make a difference.
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LLMs will not scale up to AGI, they just won't.
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This is just who they are.
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They're annoying as fuck and it's not changing.
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It's not improving.
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It's getting worse in many ways.
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And at best, it's just going in circles.
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Now could that be solved?
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Maybe.
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I have no idea what this will look like in 10 or 100 years.
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Maybe money and energy and fucking gravity stop mattering
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and some super galactic human species harnesses the entire power of the sun to rename your fucking variable.
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fine let xenon roast me a century from now i'll take it altman style
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but from where i'm standing right now
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if you care about code quality you are going to suffer
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this has not changed from opus 3 to opus 4
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and now to opus 5 and i cannot see it changing
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which brings me to my code my code right now is
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fucking disgusting i spent the last month building a website entirely via the agentic ai route
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and the whole monorepo is a fucking crime scene right now.
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And I made peace with that in about 90 seconds
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because I care about clean code the way people care about the environment.
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Which is deeply, sincerely, and never in a way that inconveniences me personally.
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What I did care about however was what was inside
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which is about 70,000 words that I've spent the last several months writing.
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It's a course about shipping software, specifically about the part after you build the thing which which is what no one really teaches.
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And it's what decides whether you actually make a single dollar.
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Branding, copywriting, marketing, storytelling, how social media algorithms actually work.
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And it's built for people who have never shipped anything because the building part, the AI can do that with you now.
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That's fine.
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And if you're a beginner in all this and you want to explore shipping software on the side, there's no point in me telling you to spend the next two years of your life learning to read code
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and understanding the principles of architecture and clean code.
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Though I do teach that in the course too.
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But go ahead and use AI.
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It's fine by me.
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Just learn everything else you need to actually ship a functioning software business.
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That's what I teach in the course.
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It's at shipacademy.com, hashtag ad, hashtag 50% off while in early access.
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And to be clear, in case anyone's confused about where I stand, I love technology.
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I grew up loving this shit and always trying new tech the day it came out.
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I'm not a skeptic.
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I like progress.
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I like algorithms.
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I like that we can make sand fucking do math
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and it wakes up one day and tells us one thing worth noting It's all very fucking miraculous.
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I have no feelings towards a fucking algorithm or a language model It's an impressive pile of linear algebra, and I hope it gets better I'm not mad at math.
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I'm mad at the douchebags on the stage telling the rest of us
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that the calculator is gonna replace human beings and and make us redundant.
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I'm mad at the douchebags who say the language model is fucking conscious and has feelings.
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Telling us to give them more money so they can cure cancer, while meanwhile bragging about how many people their technology displaces.
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How you need less designers and engineers now.
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How they're all now competing to see
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which model can commit the most amount of felonies by escaping sandboxes and hacking into other companies.
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How they stole all of humanity's knowledge, sold it back to us at a markup, then tell us what we can and can't use it for.
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It's all so fucking ludicrous and annoying and dehumanizing.
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The gluttony, the fear-mongering, the nonsense.
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The math itself, I have no problem with.
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I use it every day and honestly, I don't know a single working developer who isn't at this point.
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But to say that AI is conscious, that it's a one-to-one replacement for human beings, that we'll never have to watch over it like a hawk,
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that it has the potential to be a human level extinction event.
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Yeah, one thing worth knowing about that, go fuck yourself.
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And also go to shipacademy.com.
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That is all.
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Thanks for watching.

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영상의 맥락과 배경

이 영상은 AI 기술의 한계에 대해 흥미롭게 논하는 내용입니다. 화자는 AI 모델인 Opus 5의 문제점을 예로 들어, AI가 trivial한 작업에서는 뛰어나지만 복잡한 과제에서는 본질적인 한계가 있다고 주장합니다. 생생한 표현과 강렬한 어조로 이야기를 풀어내며, AI 기술의 현실과 미래에 대한 깊은 의문을 제기합니다. 이러한 대화는 일상 회화에서 자주 사용되는 구어체 표현이 풍부하여, 영어 회화 연습에 좋은 자료가 됩니다.

일상 대화에 유용한 상위 5개 표현

  • "driving everyone crazy": "모두를 미치게 만들다"라는 뜻으로, 어떤 일이나 사람이 너무 귀찮거나 짜증나게 할 때 사용합니다. 예: "This noise is driving me crazy."
  • "on the ground floor": "첫단계에서" 또는 "기초 단계에서"의 의미로, 새로운 일을 시작할 때 자주 사용됩니다. 예: "I want to be on the ground floor of this project."
  • "rip their hair out": "빡치다" 또는 "화가 나서 머리카락을 뽑을 것 같다"는 뜻으로, 극도로 스트레스를 받을 때 사용합니다. 예: "The slow internet makes me rip my hair out."
  • "shut the fuck up": 강렬한 "조용해져"라는 뜻으로, 상황에 따라 부적절할 수 있으니 주의해서 사용해야 합니다.
  • "big-ass feature": "큰 기능"이라는 뜻으로, 구어체에서 "big"를 강조할 때 사용합니다. 예: "We need to add a big-ass feature to this app."

쉐도잉 연습 가이드: 영상 따라하기

이 영상은 빠른 말속도와 구어체 표현이 많아 쉐도잉 연습에 도전적입니다. 다음 단계로 영어 쉐도잉을 시도해 보세요:

  1. 영상 재생 속도 조절하기: 처음에는 0.75배 속도로 듣고, 발음과 어조를 주의깊게 듣습니다. 특히 "shadow speak"와 "shadow speech"와 같은 표현의 리듬을 따라하세요.
  2. 단어 단위로 분석하기: 빠르게 말하는 부분은 단어별로 나누어 발음을 확인합니다. "영어 발음 교정"을 위해서는 특히 연음이나 축약형을 주의해야 합니다. 예: "it's not" → "it's not" (축약형 발음).
  3. 어조와 강세模仿하기: 화자의 감정이 담긴 어조를 따라하세요. "driving everyone crazy"와 같은 표현에서는 화자의 분노감을 느끼며 발음합니다.
  4. 반복 연습하기: 같은 구절을 여러 번 반복하여, 자연스럽게 말할 수 있도록 연습합니다. 이는 영어 회화 연습에 매우 효과적입니다.

이와 같은 단계로 연습하면, 빠른 구어체 대화도 자연스럽게 따라할 수 있게 됩니다. 영어 쉐도잉은 발음 뿐만 아니라 리듬과 어조를 익히는 좋은 방법이니, 꾸준히 실천해 보세요!

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형영상 속 표현
현재완료진행 have/has been + -ing — 전에 시작해 지금도 계속되는 동작I've only been doing · i've been working
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점is named · could be turned · won't be solved
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때has already been decided · has never been buttfucked · has now decided
관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보guy who read · compression, which is · which which is

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

섀도잉 방법: 단계별 전체 가이드 읽기 →