Shadowing Practice: Anthropic just proved AI isn't getting better - Learn English Speaking with Video

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Everybody hates Opus 5 right now, but you need to know that this is much bigger than Opus 5

And that no model is gonna fix it ever

and I'll get to that in a second

because let's talk about Opus 5 It is driving everyone fucking

crazy You give it some trivial task like rename this variable

and it goes and it does it amazingly well But then it goes one thing worth knowing No,

no, there's nothing fucking worth knowing about renaming a function level variable But it's already started.

It's committed to one thing worth knowing Before it had any idea what the thing was.

It's like the annoying business casual guy in a meeting who has to say something Just has to he goes

So here's the thing guys to buy himself three seconds

while his brain tries to generate a thing to say

And now he's at a runway and everyone's looking at him and he has to say something so he goes

Renaming things can affect other places where that thing is named.

Thank you.

Thank you fucking Gary I did not know

that I've only been doing this shit for 20 years

And the funny thing is it's not even like some system prompt

that Boris can go and fix It's not some setting

that could be turned off some meat bag at some point

in some miserable Sweatshop of an office building in some third

world country where they have humans rate responses for post training

Kept clicking thumbs up on it's worth noting that

and now the fucking models cursed this one fuckers Personality imprinted on a trillion dollar language model

and now his sperm is in literally everything we do

and the problem is that Sometimes it does actually catch something worth noting

so you can't actually fucking ignore it it you have to read every caveat after every little change

because it'll be like one plus one equals two your database migration fell through

and it's making people rip their fucking hair out

but that's not even the worst of it i've been working

on a little project i'll plug the ad at the end of this video

but i've been working with a lot of ai the past several weeks to build this

and i actually chose to build with ai

because i want to be on the ground floor of the sausage I wanna see what the fuck is going on.

And I noticed something.

I noticed that AI is fast as fuck.

Yes, it gets your intent, it implements the future, blah, blah, blah.

But there's a very, very deep limitation

and it's something that's intrinsic to the technology

and it won't be solved with fable 6 or 7

or 10 You go and you give it some serious tests some big-ass feature that touches a shit ton of things

Something that would probably take you personally a week to reason through and build

and this little coke-fueled algorithm this fucking speedy Gonzales ass motherfucker thinks about it for maybe eight seconds

and it's already editing files.

And everyone's like, oh my God, it's so fast.

But shut the fuck up for a second and listen.

Half of software engineering in the first place is figuring out where and what to edit.

This is called architecture.

And when this fucker picks four files in two seconds, your entire code base's fate has already been decided.

And how does it pick?

It does a little grep search.

Like a hot dog eating contest for code files.

It searches around for a couple milliseconds and reads four files and your dumb ass watches it like, Wow, it's so smart.

No, you fucking idiot.

It found the absolute minimal set of files it needed to make the change

so that it could finish faster than you after six beers.

And you watch it happen and you're like, is this shit AGI?

It's like a contractor who pulls up to your house, opens three kitchen drawers and goes, Yeah, I got this.

And then puts a load-bearing wall through your kid's fucking bathtub.

This is absolutely not how humans work.

When you change something big in a code base you're comfortable in, you're not searching.

You already know.

You know that touching this one file is gonna make the billing microservice lose its mind.

And it's not even because you just read the billing service code yesterday or something.

It's because the billing service fucking molested you last quarter and your anus is still sore.

A language model has never been buttfucked before.

And dare I say, I do not believe it is on Dario's roadmap.

Sam's though, maybe.

I don't know.

It's like a guy who read chapter one in a book and has now decided to write chapter 12.

And chapter 12 comes out beautiful, really.

But it has nothing to do with the fucking book.

And I know what you're thinking.

That if this is just a context problem, well, just put the whole fucking code base in the context.

And you can.

You can literally do that.

for approximately the annual GDP of Portugal.

And you'd still get one thing worth knowing that is absolutely not worth knowing.

And then you'll have some asshole on X who'll tell you he's figured it all out.

Some new trick to compress your entire code base into a fucking poem or something.

Some new prompt or skill that makes Claude simulate an orgasm which leads to 69% better code quality.

But again, compression, which is what all documentation is, is the problem.

It's a map and the map is not the territory.

And let's be honest with each other, you used AI to write the map.

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.

If you don't give a shit about reading the code, it's fine and good and fast.

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,

then nothing Dario jizzes into the models is gonna make a difference.

LLMs will not scale up to AGI, they just won't.

This is just who they are.

They're annoying as fuck and it's not changing.

It's not improving.

It's getting worse in many ways.

And at best, it's just going in circles.

Now could that be solved?

Maybe.

I have no idea what this will look like in 10 or 100 years.

Maybe money and energy and fucking gravity stop mattering

and some super galactic human species harnesses the entire power of the sun to rename your fucking variable.

fine let xenon roast me a century from now i'll take it altman style

100

but from where i'm standing right now

101

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

104

which brings me to my code my code right now is

105

fucking disgusting i spent the last month building a website entirely via the agentic ai route

106

and the whole monorepo is a fucking crime scene right now.

107

And I made peace with that in about 90 seconds

108

because I care about clean code the way people care about the environment.

109

Which is deeply, sincerely, and never in a way that inconveniences me personally.

110

What I did care about however was what was inside

111

which is about 70,000 words that I've spent the last several months writing.

112

It's a course about shipping software, specifically about the part after you build the thing which which is what no one really teaches.

113

And it's what decides whether you actually make a single dollar.

114

Branding, copywriting, marketing, storytelling, how social media algorithms actually work.

115

And it's built for people who have never shipped anything because the building part, the AI can do that with you now.

116

That's fine.

117

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

118

and understanding the principles of architecture and clean code.

119

Though I do teach that in the course too.

120

But go ahead and use AI.

121

It's fine by me.

122

Just learn everything else you need to actually ship a functioning software business.

123

That's what I teach in the course.

124

It's at shipacademy.com, hashtag ad, hashtag 50% off while in early access.

125

And to be clear, in case anyone's confused about where I stand, I love technology.

126

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.

128

I like progress.

129

I like algorithms.

130

I like that we can make sand fucking do math

131

and it wakes up one day and tells us one thing worth noting It's all very fucking miraculous.

132

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.

133

I'm mad at the douchebags on the stage telling the rest of us

134

that the calculator is gonna replace human beings and and make us redundant.

135

I'm mad at the douchebags who say the language model is fucking conscious and has feelings.

136

Telling us to give them more money so they can cure cancer, while meanwhile bragging about how many people their technology displaces.

137

How you need less designers and engineers now.

138

How they're all now competing to see

139

which model can commit the most amount of felonies by escaping sandboxes and hacking into other companies.

140

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.

141

It's all so fucking ludicrous and annoying and dehumanizing.

142

The gluttony, the fear-mongering, the nonsense.

143

The math itself, I have no problem with.

144

I use it every day and honestly, I don't know a single working developer who isn't at this point.

145

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,

146

that it has the potential to be a human level extinction event.

147

Yeah, one thing worth knowing about that, go fuck yourself.

148

And also go to shipacademy.com.

149

That is all.

150

Thanks for watching.

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Vocabulario y notas de pronunciación para esta lección

Esta lección de conversación de nivel B2 se basa en el vídeo “Anthropic just proved AI isn't getting better”. Las palabras que más se repiten: code, worth, model, opus. Este vídeo tiene 150 frases y 1763 palabras para practicar shadowing. La parte hablada dura 9:45. El hablante habla rápido, unas 181 palabras por minuto, así que espera sonidos enlazados y reducidos. El 83 % de las palabras está entre las 3.000 más comunes del inglés; conviene repasar el resto antes de empezar.

Vocabulario clave de este vídeo

Las 15 palabras más avanzadas del vídeo, con su pronunciación y significado:

Palabra	Pronunciación	Significado
rename verbo	/ɹiːˈneɪm/	renombrar
algorithm sustantivo	/ˈælɡəɹɪðm̩/	algoritmo
annoy verbo	/əˈnoɪ̯/	enchilar, crispar
variable adjetivo	[ˈvæɹ.i.ə.bl̩]	variable
mathematics sustantivo	/mæθ(.ə)ˈmæt.ɪks/	matemáticas, matemática
fable sustantivo	/ˈfeɪbəl/	fábula
hashtag sustantivo	/ˈhæʃˌtæɡ/	hashtag, etiqueta
prompt verbo	/pɹɑmpt/	llevar a, concitar
conscious adjetivo	/ˈkɑn.ʃəs/	consciente
bathtub sustantivo	/ˈbæθtʌb/	bañera, bañadera
caveat sustantivo	/ˈkæviɑt/	advertencia, aviso
compress verbo	/ˈkɑmpɹɛs/	comprimir
dehumanize verbo	/diːˈhjuːmənaɪz/	deshumanizar
displace verbo	/dɪsˈpleɪs/	desahuciar, desplazar
galactic adjetivo	/ɡəˈlæktɪk/	galáctico

Phrasal verbs que vas a escuchar

Palabra	Pronunciación	Significado
come out verbo	/ˌkʌm ˈaʊt/	revelarse, salir a la luz
figure out verbo		averiguar, captar
go ahead verbo	/ˌɡoʊ əˈhɛd/	venga, adelante
grow up verbo		crecer
turn off verbo		apagar
wake up verbo	/ˌweɪk ˈʌp/	despertarse, recordar

Gramática en este vídeo

Las estructuras que más usa el hablante, con las palabras exactas del vídeo:

Estructura	En el vídeo
Present perfect continuous have/has been + -ing — una acción que empezó antes y continúa	I've only been doing · i've been working
Voz pasiva be + participio pasado — importa lo que ocurre, no quién lo hace	is named · could be turned · won't be solved
Present perfect have/has + participio pasado — una acción pasada que sigue importando ahora	has already been decided · has never been buttfucked · has now decided
Oraciones de relativo who / which + oración — información extra sobre una persona o cosa	guy who read · compression, which is · which which is

Pronunciación a tener en cuenta

El hablante usa 41 contracciones y formas reducidas, como I'm, I've, you're. Dilas en su forma corta, tal como las oyes.

Los sonidos de “th”: algorithm /ˈælɡəɹɪðm̩/, mathematics /mæθ(.ə)ˈmæt.ɪks/, bathtub /ˈbæθtʌb/, thumb /ˈθʌm/
Los sonidos de “sh” y “zh”: hashtag /ˈhæʃˌtæɡ/, conscious /ˈkɑn.ʃəs/, limitation /lɪmɪˈteɪʃən/, extinction /ɪkˈstɪŋkʃən/, compression /kəmˈpɹɛʃ.ən/
Palabras largas — cuida el acento: mathematics /mæθ(.ə)ˈmæt.ɪks/, dehumanize /diːˈhjuːmənaɪz/, millisecond /ˈmɪlɪˌsɛkənd/, miraculous /mɪˈɹæk.jʊ.ləs/, calculator /kæl.kjə.leɪ.tɚ/

Sonidos difíciles para hispanohablantes:

s + consonante al inicio — sin añadir una “e” delante: skeptic /ˈskɛp.tɪk/, speedy /ˈspiː.di/
/v/ — no es /b/: los dientes tocan el labio inferior: variable [ˈvæɹ.i.ə.bl̩], caveat /ˈkæviɑt/, trivial /ˈtɹɪv.i.əl/, inconvenience /ɪnkənˈvinjəns/, developer /dɪˈvɛləpɚ/
/z/ — sonora, no /s/: dehumanize /diːˈhjuːmənaɪz/, intrinsic /ɪnˈtɹɪn.zɪk/, amazingly /əˈmeɪzɪŋli/, orgasm /ˈoɹ.ɡæ.zəm/, miserable /ˈmɪz(ə)ɹəbəl/

Cómo practicar con este vídeo

Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
Grábate y compara con el original, prestando atención a palabras como rename, algorithm, annoy.

¿Qué es la Técnica de Shadowing?

Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.

Técnica de shadowing: lee la guía completa paso a paso →

Shadowing Practice: Anthropic just proved AI isn't getting better - Learn English Speaking with Video

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