Prática de Shadowing: Everyone Is Wrong About AI Coding - Aprenda a falar inglês com o YouTube
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It doesn't matter where you look,
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It doesn't matter where you look,
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everyone is talking about how quick and good AI is,
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especially when it comes to writing code.
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And even if we assume all of these statements that they're saying are 100% true,
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which in reality, most of them are over-exaggerated,
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I'm still not worried about AI taking over programming jobs.
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Let's just take the base level claim that AI can write code 10 times quicker than I can as a developer.
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And let's assume that this AI code is 100% perfect code of the exact same quality that I would write.
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Maybe even it's better quality than the code that I myself would write.
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So we're getting 10 times the output by using AI as opposed to handwriting code,
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and the quality stays exactly the same.
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I personally don't believe that you get this with AI,
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but even assuming all of these statistics,
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I still don't think AI is going to replace programmers.
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The reason being, imagine
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that you are a CEO at a company that's publicly traded
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your number one goal is to create as much profit as possible for your shareholders that have your stock.
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That's just what a publicly owned company,
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especially in the U.S., is supposed to do.
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So your goal is to maximize profit.
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And now imagine that I come to you and I say,
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I can make every single one of your developers 10 times more productive.
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You can crank out features and products like you've never been able to do before.
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All you need to do is just start using AI.
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What are you going to do?
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Are you going to say, oh, this is great.
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I'm now going to fire 90% of my workforce so that I can be exactly the same as I was before.
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Or are you going to say,
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wow, this is a huge competitive advantage.
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I can now use this AI in my same exact workforce that I have,
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and I can create 10 times as much content or features or updates that all my other competitors can do,
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which will skyrocket my stock price
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and all of the different things related to my company are going to be good
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because I'm 10 times more productive than everyone else.
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Clearly, it makes sense to choose that second option.
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And if you were a company that decided instead of choosing that second option and being 10 times more productive,
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you're going to fire 90% of your workforce and stay exactly as productive as you are,
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all of your other competitors are going to be taking advantage of
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that 10 times increase and they're going to surpass you and your company will essentially fade out and die.
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So if that's the case,
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why aren't we actually seeing these 10x improvements?
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You may know that the job market,
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especially for programming, is just not great right now.
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The entire job market is not great,
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but programming as well is just not a great job market right now.
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And the reason for that actually has nothing to do with AI replacing programmers
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and instead the fact that the market is just not in a good place right now.
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The entire economy is down,
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jobs across the board are down,
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spending is down, and overall,
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companies are hesitant to hire when they're in these type of situations where the entire economy is down.
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This is especially compounded by the fact that companies,
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especially tech-related companies, massively overhired in like 2020,
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2021, 2022, even into 2023,
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because there was a massive boom during COVID.
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Everyone was at home tech companies skyrocket in valuation, and they massively overhired.
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They kept on that workforce for a while,
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but as the economy started to go down,
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they realized, why are we keeping all these additional people on?
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We overhired.
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We have more developers than we can actually handle.
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So they fired off those developers,
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and that's why the economy has not been great for job markets in the exact programming niche.
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Now, most companies are going to say,
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oh, the reason we're firing all these developers is so
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that we're going to be implementing AI and it's replacing all of our developers.
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But in reality, what's happening is they have a hard market,
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they're losing profit, and they're saying,
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well, the best thing to do when we're losing money like this is to fire some developers because we have too many.
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And instead of going to our shareholders and saying,
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hey, our company is losing tons of money, so we're firing people.
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Instead, they say, hey, we're like super cool and we're using AI in all of our products,
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so now we can fire people because AI is making our business better.
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Even if that's not true,
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it just sounds a lot better.
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So that's what they tell the shareholders to keep their stock price high,
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as opposed to saying, hey,
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our company's actually losing money,
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which is why we're firing people.
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There have been countless times throughout the history of even just programming where new technology
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or tools have come along that have drastically increased the performance of developers
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and made them better and quicker at writing high quality code.
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And I will admit that AI is a massive multiplier compared to some of these other things,
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but I don't think the result is going to be any different.
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Yes, AI
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when used by a competent developer is going to be able to create more code than someone that's not using AI.
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And if it's done right,
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it can create just as high quality code,
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but at a much faster pace.
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But that doesn't mean that we're just going to sit back and say,
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well, now we can, you know,
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spend less time writing code.
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Instead, we're going to create more code than ever before
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and create more features and more products because that's just how the world works.
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When you have more resources that you can put towards something,
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you're going to put those more resources towards that thing to continually expand
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because there are infinite numbers of ideas out there
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and there's only a finite amount of resources so
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if we can multiply those resources that just means
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that we can serve more of those infinite number of ideas
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that people have now you may be thinking well what
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if the ai gets good enough to completely replace programmers
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and for that i just want to direct you to this video right here where i talk all about that problem
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Por que praticar a fala com este vídeo?
A prática de conversação em inglês é essencial para aprimorar suas habilidades linguísticas. Este vídeo oferece uma oportunidade valiosa para ouvir um discurso articulado sobre o impacto da inteligência artificial na programação. Ao discutir um tema atual, o locutor fornece um contexto envolvente que pode ser muito útil para a sua formação. Ao replicar suas falas, você não apenas se familiariza com a estrutura do idioma, mas também aumenta sua confiança ao se expressar.
Além disso, ao utilizar técnicas de shadow speech, você se expõe a novas expressões e vocabulário que são relevantes no mundo da tecnologia. Esta prática não só beneficia sua fluência em inglês, mas também melhora a pronúncia em inglês, ao ouvir a entonação e ênfase do falante original.
Gramática & Expressões em Contexto
No vídeo, várias estruturas gramaticais e expressões são utilizadas. Aqui estão algumas delas:
- "I still don't think AI is going to replace programmers." - A construção da frase usando o futuro do verbo "to be" é uma maneira direta de expressar crenças pessoais. Essa estrutura é muito comum na fala cotidiana.
- "Imagine that you are a CEO at a company..." - O uso do subjuntivo para formular cenários hipotéticos é uma técnica poderosa que enriquece a linguagem. Aprender a usar esse tempo verbal pode ajudar na descrição de situações imaginárias.
- "All you need to do is just start using AI." - Aqui vemos uma forma simplificada de instrução, que é útil em conversas informais. Prestar atenção a essas construções pode ser útil ao dar e receber orientações.
- "That's just what a publicly owned company is supposed to do." - A frase examina a finalidade e a expectativa associadas a um conceito, mostrando como estabelecer normas pode ser uma parte essencial do discurso.
Armadilhas Comuns de Pronúncia
Algumas palavras e expressões no discurso podem ser desafiadoras, especialmente para falantes não nativos. Aqui estão algumas armadilhas de pronúncia que você deve ficar atento:
- "artificial intelligence" - A pronúncia da letra "t" pode ser sutil. **Artifício** deve ser pronunciado claramente, mas não de forma exagerada.
- "productive" - A ênfase na segunda sílaba pode ser confusa. Pratique a palavra em um tom suave para melhorar sua fluência.
- "competitive advantage" - A ligação entre essas palavras pode ser desafiadora. A prática de shadowing ajudará você a juntar esses sons de maneira mais natural.
Praticar essas palavras com atenção pode ajudar na sua jornada de melhorar a pronúncia em inglês e, consequentemente, na sua capacidade de comunicação. Aproveite sessões de shadowing e utilize recursos disponíveis em sites de shadowing para solidificar seu aprendizado.
O que é a Técnica de Shadowing?
Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.
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