跟读练习: Anthropic just proved AI isn't getting better - 通过视频学习英语口语
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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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为何这个视频是绝佳的口语练习素材？
这个视频的对话充满了生活化的口语表达和强烈的情绪起伏，非常适合用来练习雅思口语或提升日常口语的流畅度。视频中大量使用短句、省略句和口语化的连接词（比如“but then”“and now”），完美还原了母语者的真实交流场景。对于想要摆脱“书面语”腔调的学习者来说，这样的素材能帮助你更自然地表达想法，就像和朋友聊天一样。
拆解地道表达，学习母语者的说话逻辑
我们来看看几个典型句子，分析它们为何听起来如此自然：
- “It is driving everyone fucking crazy”：这里用“fucking”加强语气，是口语中常见的情绪表达，类似“简直要把人逼疯了”。在英语口语练习中，适当使用语气词能让表达更生动。
- “But shut the fuck up for a second and listen”：短句叠加祈使句，符合母语者在激动时的说话习惯。学习这种“先打断再强调”的结构，能让你的口语更有节奏感。
- “your entire code base's fate has already been decided”：用“fate”来比喻代码库的命运，形象又幽默。这种隐喻用法在口语中很常见，能让你的表达更有画面感。
简单有效的“影子跟读”练习法
想要快速掌握视频中的地道表达，英语影子跟读（shadowing）是最有效的方法。你可以这样做：
- 先完整听一遍视频，感受整体语气和节奏；
- 逐句暂停，模仿发音、语调甚至换气的节奏，录制自己的跟读音频；
- 对比原视频和自己的录音，重点关注“fucking”“blah blah blah”等口语词的使用时机；
- 每天练习10分钟，坚持一周就能明显感受到口语流畅度的提升。
如果觉得自己练习没头绪，可以找一个shadowing site，利用工具进行逐句跟读训练。记住，shadow speech的关键是“同步”和“模仿”，不要害怕犯错，大胆开口才能进步！
视频中的语法
说话人最常用的结构，并附上视频中的原话：
| 结构 | 视频中的用法 |
|---|---|
| 现在完成进行时 have/has been + -ing — 以前开始、现在仍在继续的动作 | I've only been doing · i've been working |
| 被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的 | is named · could be turned · won't be solved |
| 现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事 | has already been decided · has never been buttfucked · has now decided |
| 定语从句 who / which + 从句 — 补充说明人或事物 | guy who read · compression, which is · which which is |
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。