Prática de Shadowing: Why Are People Starting to Sound Like ChatGPT? | Adam Aleksic | TED - Aprenda a falar inglês com o YouTube
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How sure are you that you can tell what's real online?
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How sure are you that you can tell what's real online?
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(Laughter) You might think it's easy to spot an obviously AI-generated image, and you're probably aware that algorithms are biased in some way.
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But all the evidence is suggesting that we're pretty bad at understanding that on a subconscious level.
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Take, for example, the growing perception gap in America.
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We keep over- and overestimating how extreme other people's political beliefs are, and this is only getting worse with social media, because algorithms show us the most extreme picture of reality.
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As an etymologist and content creator, I always see controversial messages go more viral because they generate more engagement than a neutral perspective.
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But that means we all end up seeing this more extreme version of reality, and we're clearly starting to confuse that with actual reality.
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The same thing is currently happening with AI chatbots, because you probably assume that ChatGPT is speaking English to you, except it's not speaking English, in the same way that the algorithm's not showing you reality.
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There are always distortions, depending on what goes into the model and how it's trained.
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Like we know that ChatGPT says “delve” at way higher rates than usual, possibly because OpenAI outsourced its training process to workers in Nigeria who do, actually, say, "delve" more frequently.
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Over time, though, that little linguistic overrepresentation got reinforced into the model even more than in the workers' own dialects.
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Now that's affecting everybody's language.
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Multiple studies have found that, since ChatGPT came out, people everywhere have been saying the word "delve" more in spontaneous spoken conversation.
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Essentially, we're subconsciously confusing the AI version of language with actual language.
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But that means that the real thing is, ironically, getting closer to the machine version of the thing.
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We're in a positive feedback loop with the AI representing reality, us thinking that's the real reality, and regurgitating it so the AI can be fed more of our data.
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You can also see this with the algorithm through words like "hyperpop," [not a] part of our cultural lexicon until Spotify noticed an emerging cluster of similar users in their algorithm.
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[When] they identified it and introduced a hyperpop playlist, however, the aesthetic was given a direction.
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Now people began to debate what did and did not qualify as hyperpop.
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The label and the playlist made the phenomenon more real by giving them something to identify with or against.
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And as more people identified with hyperpop, more musicians also started making hyperpop music.
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All the while, the cluster of similar listeners in the algorithm grew larger, and Spotify kept pushing it more, because these platforms want to amplify cultural trends to keep you on the app.
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But that means we also lose the distinction between a real trend and an artificially inflated trend.
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And yet, this is how all fads now enter the mainstream.
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We start with a latent cultural desire.
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Maybe some people are interested in matcha, Labubu or Dubai chocolate.
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The algorithm identifies this desire and pushes it to similar users, making the phenomenon more of a thing.
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But again, just like how ChatGPT misrepresented the word "delve," the algorithm is probably misrepresenting reality.
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Now more businesses are making Labubu content because they think that's the desire.
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More influencers are also making Labubu trends because we have to tap into trends to go viral.
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And yet, the algorithm is only showing you the visually provocative items that work in the video format.
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TikTok has a limited idea of who you are as a user, and there's no way that matches up with your complex desires as a human being.
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So we have a biased input.
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And that's assuming that social media is trying to faithfully represent reality, which it isn't.
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It's only trying to do what's going to make money for them.
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It's in Spotify's interest to have you listening to hyperpop, and it’s in TikTok’s to have you looking at Labubus because that's commodifiable.
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So again, we have this difference between reality and representation, where they're actually constantly influencing one another.
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But it's incredibly dangerous to ignore that distinction, because this goes beyond our language and consumptive behaviors.
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This affects the world we see as possible.
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Evidence suggests that ChatGPT is more conservative when speaking the Farsi language, likely because of the limited training texts in Iran reflect the more conservative political climate in the region.
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Does that mean that Iranian ChatGPT users will think more conservative thoughts?
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Elon Musk regularly makes changes to his chatbot Grok when he doesn't like how it's responding, and then uses his platform X to artificially amplify his tweets.
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Does that mean that the millions of Grok and X users are subconsciously being trained to align with Musk's ideology?
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We need to constantly remember that these aren't neutral tools.
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Everything that ends up in your social media feed or in your chatbot responses is actually filtered through many layers of what's good for the platform, what makes money and what conforms to the platform’s incorrect idea about who you are.
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When we ignore this, we view reality through a constant survivorship bias, which affects our understanding of the world.
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After all, if you're talking more like ChatGPT, you're probably thinking more like ChatGPT as well, or TikTok or Spotify.
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But you can fight this if you constantly ask yourself: Why?
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Why am I seeing this?
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Why am I saying this?
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Why am I thinking this?
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And why is the platform rewarding this?
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If you don't ask yourself these questions, their version of reality is going to become your version of reality.
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So stay real.
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(Cheers and applause)
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Contexto & Antecedentes
O vídeo apresenta uma reflexão provocativa sobre como a interação com a tecnologia, especialmente com chatbots como o ChatGPT, está moldando a maneira como nos expressamos em inglês. O palestrante, Adam Aleksic, discute como a realidade digital e os algoritmos influenciam nossas percepções e até mesmo a linguagem que utilizamos no dia a dia. Ele destaca que a comunicação online está, muitas vezes, distante da realidade, gerando uma confusão entre o que é genuíno e o que é uma representação distorcida. Para os aprendizes de inglês, compreender essa dinâmica é essencial, já que pode impactar a forma como aprendem e praticam o idioma.
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Guia Passo a Passo para Shadowing
Para melhorar sua pronúncia em inglês e dominar a técnica de shadow speech utilizando o vídeo de Adam Aleksic, siga este guia prático:
- Escolha um trecho do vídeo: Selecione uma parte do discurso que você ache interessante (por exemplo, a discussão sobre como os algoritmos influenciam a linguagem).
- Ouça atentamente: Reproduza o trecho e concentre-se na entonação e na pronúncia do palestrante. Tente absorver as nuances da fala.
- Repita em voz alta: Pause o vídeo e tente repetir as falas imediatamente após ouvi-las. Isso ajuda a solidificar a aprendizagem e a melhorar a confiança.
- Grave sua voz: Use um gravador de áudio ou seu celular para registrar suas tentativas. Ouvir a própria pronúncia pode proporcionar insights valiosos.
- Compare com o original: Escute sua gravação ao lado do vídeo. Identifique áreas onde você pode melhorar e faça as correções necessárias.
Utilizar o shadowing site pode ser uma ferramenta útil nesse processo, pois oferece recursos e exemplos para facilitar sua prática. Ao dedicar tempo à técnica de shadowspeak, você não apenas aprimora sua pronúncia em inglês, mas também ganha confiança em sua fluência.
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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