Практика Shadowing: The Art Of Winning In Tech - Изучайте разговорный английский по видео

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There has never been a better time to be a software engineer.

I know everyone's scared about the whole AI wave, but if you're anything like me, you got interested in software because of the ability to make something real.

Something another person could actually use.

Something that could blow up and change the world, all while just needing a laptop and an idea.

And that has never been more achievable than now.

What used to take a team of five can now take one person.

What used to take years of learning syntax and documentation and writing every single line by hand, you can now do in a fraction of the time.

And trust me, I know everywhere you look and all over the comments of this video, people are gonna say software developers will be completely wiped out.

But the ones getting wiped out by the AI wave aren't losing because they're bad developers, they're losing because that world of software is fading out.

But the people winning, you know that one guy in your classes with five internships and a job lined up?

Or the guy who built something real enough that a company just hired them for it?

Or the back-end engineer at a normal tech company who became

so productive with AI that they now own systems they would have never touched?

Or the random developer charging $50 a month for a tool they built in a weekend?

or the founders chasing a vision that they actually believe in with a team of two instead of twenty, they're all winning for the same reason.

They understood the new rules faster, about what to build, how to build it, and how to use every resource available to close the gap between where they are and where they want to be.

So instead of getting wiped out by this new wave of software engineering...

Picture two types of people.

The first person is the spectator.

For whatever reason, they never fully leaned into the AI wave, and honestly, part of it's probably because the entire space feels overwhelming.

They hear LLMs, RAG, Agents, GBT, Claude, OpenAI, Anthropic, and after a certain point, it just all starts blending into one giant cloud of AI words.

Or they've been told that using AI somehow makes them a worse programmer, so they keep their distance from it.

But on the other hand, you have the surfer.

The surfer understands that this is a field built on abstraction.

Nobody calls you a fake programmer for using frameworks or libraries, stack overflow, random open source code where you don't even know how it works.

So instead of resisting the wave, they learn how to move with it.

They use AI to learn fundamentals faster, to experiment faster, to close the gap between what they can imagine and what they can actually build.

Maybe you're building web apps and you use AI to scaffold an entire dashboard in a day.

Or maybe you're building a game engine

and using AI to help explain some brutal graphics concept that would have taken you hours to decode from documentation alone.

The leverage looks different depending on the field, but the surfers, regardless, are experimenting.

They're shortening the distance between idea and execution.

They have an idea and immediately test it.

They automate boring parts of their workflow.

They use AI to understand unfamiliar code bases faster.

To research faster.

To prototype faster.

To debug faster.

To learn faster.

Their feedback loops are insanely short.

And that matters because software engineering is becoming more and more of a creativity game.

In the sense that the people that are winning are the people noticing things.

Connecting things.

Building weird tools that nobody even thought of before.

And following curiosity fast enough before the excitement disappears.

Because a few years ago, if you wanted to test an ambitious idea, the barrier was enormous.

Now some random student can lock in for a weekend and accidentally build something that thousands of people use.

And I think a lot of developers still haven't adjusted to how insane this shift actually is.

They're still waiting until they know enough or until they master

that one language or framework or just completely distancing themselves from this new wave of technology.

Meanwhile, the surfers moving the fastest are already in the water, building, testing, learning, shipping, adjusting,

because programming is becoming less about manually typing every brick yourself and more about what should exist in the first place.

The bottleneck is no longer can you write the code, it's can you think clearly, can you recognize good ideas, can you move on them quickly, can you learn fast enough to keep up with your own ambition.

Because AI doesn't remove the need for builders, if anything it raises the ceiling for the ones that actually build.

But adapting to this new wave isn't just about using AI, it's about learning how to think clearly while using it.

Which is why you need to- You can't just build in silence anymore.

The people getting opportunities right now, like internships, referrals, startup roles, even research positions, are often the ones who are most visible.

They're building their projects and they're also posting it on LinkedIn.

Or they're doing short demo videos on Twitter.

Or maybe they're just writing about random things that they learned from a class, or a bug, or a failed project, or a random opinion that they have about programming.

Not because they're influencers, but it signals that this person is actively building.

And in this new era of software engineering, especially at companies that are literally shaping this wave like OpenAI or Anthropic,

the people who are reviewing talent here are looking for builders who are already in motion, not just people who say that they're interested.

So you don't need a perfect portfolio, you just need a visible one.

And the third part of this is that you have to stop over-filtering what you're allowed to build.

People get stuck because they keep asking, is this idea even good enough for my resume or for my portfolio?

Or they might ask, am I skilled enough or should I wait until I know more?

But the people who are actually improving are just using everything available to them and just building it anyway.

So using AI, libraries, templates, random GitHub repos, documentation, they're trying to brute force learning through building.

Even if it feels not good enough or maybe it feels too good

and it feels ambitious or if it feels messy or something that one person shouldn't be able to build.

That's exactly the point.

Because the fastest way to become that kind of programmer, the one who just builds things and makes it work, is to stop negotiating with yourself every time that you get an idea.

You build it, ship it, show it, iterate, and slowly your identity starts to catch up with your behavior.

And the one thing under all of that, the thing that lets you keep up with your own ambition is to never stop learning, which is why I genuinely got excited when I saw that Brilliant Today sponsor just dropped something game-changing.

This is the new Brilliant.

It's a personal tutor for math and coding, and it's the fastest tool I've used to actually get good at this stuff.

It sits on your screen with you, adapts to how you think, and makes hard concepts feel like puzzles that you actually want to solve.

The curriculum covers everything from the fundamentals all the way through college level and above in subjects like math and coding, built by people from MIT,

Harvard, and Stanford, so you know you're getting the best of the best.

And for where we're at in software right now, the coding side is specifically focused on the things that actually matter, such as logical reasoning, debugging instincts, thinking clearly under complexity.

It's also there every day.

No scheduling, no friction, you can just open it and go.

So if you want to level up as a developer and try Brilliant, click the link below or scan the QR code to get started with Brilliant's tutor for free.

You can upgrade to Premium to unlock all courses

and right now lattice viewers can save 20 off an annual subscription at brilliant.org slash lattice

so thank you once again to brilliant for sponsoring this video

and thank you to everyone for watching i'm really trying to up the levels like editing better uploading more

and all that stuff so subscribe like comment share everything thank you

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Лексика и советы по произношению к этому уроку

Этот урок разговорной практики уровня B2 построен на видео «The Art Of Winning In Tech». Чаще всего повторяются слова: build, wave, faster, software, random. В этом видео 89 предложений и 1446 слов для шедоуинга. Речь длится 6:24. Говорящий говорит быстро, около 226 слов в минуту, поэтому звуки часто сливаются и сокращаются. 83% слов входят в 3000 самых частых слов английского языка; остальные стоит разобрать перед занятием.

Ключевая лексика этого видео

Самые сложные слова из видео (15), с произношением и значением:

Слово	Произношение	Значение
developer существительное	/dɪˈvɛləpɚ/	разрабо́тчик, разрабо́тчица
surfer существительное	/ˈsɜː(ɹ)fə(ɹ)/	сёрфинги́ст
programmer существительное	/ˈpɹoʊɡɹæmɚ/	программи́ст, программи́стка
wipe глагол	/waɪp/	вытира́ть, вы́тереть
debug глагол	/diːˈbʌɡ/	отла́живать, отла́дить
lattice существительное	/ˈlæt.ɪs/	плетёная решётка
internship существительное	/ˈɪntɜːnʃɪp/	пра́ктика, интернату́ра
tutor существительное	/ˈtjuːtəː/	репети́тор
builder существительное	/ˈbɪl.dəɹ/	строи́тель, строи́тельница
ambition существительное	/æmˈbɪʃ.ən/	амби́ция
ambitious прилагательное	/æmˈbɪʃ.əs/	амбицио́зный, честолюби́вый
adapt глагол	/əˈdæpt/	приспоса́бливать, приспосо́бить
sponsor существительное	/ˈspɒn.səː/	поручи́тель, поручи́тельница
adjust глагол	/əˈd͡ʒʌst/	регули́ровать, отрегули́ровать
portfolio существительное	/pɔːtˈfəʊ.liˌəʊ/	портфе́ль

Фразовые глаголы, которые вы услышите

Слово	Значение
wipe out глагол	уничтожа́ть, уничто́жить
blow up глагол	взрыва́ть, взорва́ть

Грамматика в этом видео

Конструкции, которые говорящий использует чаще всего, с точными словами из видео:

Конструкция	В видео
«Used to» used to + глагол — прошлая привычка или состояние, которых больше нет	used to take
Придаточные определительные who / which + предложение — уточнение о человеке или предмете	guy who built · ones who are · people who are
Present Perfect have/has + причастие прошедшего времени — прошлое действие, важное сейчас	has never been · they've been told · haven't adjusted

Произношение, на которое стоит обратить внимание

Говорящий использует 30 сокращённых и редуцированных форм, например they're, you're, don't. Произносите их коротко, так, как слышите.

Звуки «sh» и «zh»: documentation /ˌdɑkjəmɛnˈteɪʃən/, internship /ˈɪntɜːnʃɪp/, ambition /æmˈbɪʃ.ən/, ambitious /æmˈbɪʃ.əs/, abstraction /æbˈstɹæk.ʃn̩/
Длинные слова — следите за ударением: developer /dɪˈvɛləpɚ/, documentation /ˌdɑkjəmɛnˈteɪʃən/, portfolio /pɔːtˈfəʊ.liˌəʊ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, achievable /əˈt͡ʃivəbəl/

Звуки, трудные для русскоязычных:

/w/ — губы округлены, это не /v/: wipe /waɪp/, overwhelm /ˌoʊ.vɚˈwɛlm/, workflow /ˈwɝkfloʊ/
Звонкие согласные в конце слова — не оглушайте их: debug /diːˈbʌɡ/, dashboard /ˈdæʃˌboɹd/, decode /dɪˈkəʊd/, scaffold /ˈskæf.əld/, fade /feɪd/

Как заниматься с этим видео

Прослушайте всё видео один раз молча и выпишите незнакомые слова.
Начните со скорости 0,75×, повторяйте предложение за предложением и вернитесь к обычной скорости, когда станет легко.
Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как developer, surfer, programmer.

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.

Техника шедоуинга: читать полное пошаговое руководство →

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