跟讀練習: Anthropic just proved AI isn't getting better - 通過影片學習英語口語
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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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為何這個影片是絕佳的口語練習素材？
這個影片的對話充滿了生活化的口語表達和強烈的情緒起伏，非常適合用來練習雅思口語或提升日常口語的流暢度。影片中大量使用短句、省略句和口語化的連線詞（比如“but then”“and now”），完美還原了母語者的真實交流場景。對於想要擺脫“書面語”腔調的學習者來說，這樣的素材能幫助你更自然地表達想法，就像和朋友聊天一樣。
拆解地道表達，學習母語者的說話邏輯
我們來看看幾個典型句子，分析它們為何聽起來如此自然：
- “It is driving everyone fucking crazy”：這裡用“fucking”加強語氣，是口語中常見的情緒表達，類似“簡直要把人逼瘋了”。在英語口語練習中，適當使用語氣詞能讓表達更生動。
- “But shut the fuck up for a second and listen”：短句疊加祈使句，符合母語者在激動時的說話習慣。學習這種“先打斷再強調”的結構，能讓你的口語更有節奏感。
- “your entire code base's fate has already been decided”：用“fate”來比喻程式碼庫的命運，形象又幽默。這種隱喻用法在口語中很常見，能讓你的表達更有畫面感。
簡單有效的“影子跟讀”練習法
想要快速掌握影片中的地道表達，英語影子跟讀（shadowing）是最有效的方法。你可以這樣做：
- 先完整聽一遍影片，感受整體語氣和節奏；
- 逐句暫停，模仿發音、語調甚至換氣的節奏，錄製自己的跟讀音訊；
- 對比原影片和自己的錄音，重點關注“fucking”“blah blah blah”等口語詞的使用時機；
- 每天練習10分鐘，堅持一週就能明顯感受到口語流暢度的提升。
如果覺得自己練習沒頭緒，可以找一個shadowing site，利用工具進行逐句跟讀訓練。記住，shadow speech的關鍵是“同步”和“模仿”，不要害怕犯錯，大膽開口才能進步！
影片中的語法
說話人最常用的結構，並附上影片中的原話：
| 結構 | 影片中的用法 |
|---|---|
| 現在完成進行時 have/has been + -ing — 以前開始、現在仍在繼續的動作 | I've only been doing · i've been working |
| 現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事 | has already been decided · has never been buttfucked · has now decided |
| 被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的 | is named · could be turned · won't be solved |
| 定語從句 who / which + 從句 — 補充說明人或事物 | guy who read · compression, which is · which which is |
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。